The document discusses refrigeration cycles including ideal and actual vapor compression cycles and reversed Brayton cycles. It develops Mathcad functions for properties of refrigerant R134a based on published tables to facilitate solving refrigeration cycle problems. Sample problems are solved using the developed Mathcad functions to determine state properties and cycle parameters.
Thermodynamic Simulation of Steam Power Cycles using GUIMatLab InterfacesIJERA Editor
Steam power cycles are constituted by a series of thermodynamic processes that aim convert the thermal energy of a fluid in mechanical work, which can then be transformed into electrical energy. There are many types of steam power cycles in the world, using various work fluids that may or may not undergo some change in their thermodynamic state. The Rankine Cycle is a steam power cycle that use usually water as work fluid to move turbines and produce work. Nowadays, this steam power cycle is the most used in thermoelectric plants to produce electricity. This work aims the creation of a program in MatLab software with an interface (Graphical Unit Interface, GUI) to simulate many configurations of Rankine cycles, providing to the user the values of the main parameters of these processes, that is: required heat in the boiler; work generated in the turbine; required work in the pumps and the thermal efficiency of the cycle. This program provides good results, showing that it can be used to improve the functions of the equipments in these thermodynamic cycles and to support the teaching disciplines of Applied Thermodynamic
Design and Development of Cascade Refrigeration SystemIRJET Journal
1) The document describes the design and development of a cascade refrigeration system using R22 in the low temperature circuit (LTC) and R134a in the high temperature circuit (HTC).
2) Cascade refrigeration systems use two independent refrigeration cycles coupled together to achieve very low temperatures, below what is possible with a single-stage vapor compression cycle.
3) Key parameters analyzed include the refrigeration effect, compressor work, coefficient of performance (COP), and how improving the effectiveness of the cascade heat exchanger can increase COP.
Optimization through Mathematical Modelling of Irreversibility and Other Para...IRJET Journal
This document discusses optimization of irreversibility and other parameters in a simple vapor compression refrigeration cycle using the refrigerant R-134a through mathematical modeling. It summarizes previous research that analyzed refrigeration cycles using exergy analysis and the second law of thermodynamics. The study establishes relationships between evaporator temperature and performance parameters like COP, total exergy change, irreversibility, ECOP, and second law efficiency. It analyzes these parameters for different evaporator temperatures to develop a mathematical model to calculate one parameter given a value for another. The model aims to optimize irreversibility and other factors in the refrigeration cycle.
Complete Evaluation of Vapour Compression Refrigeration System using R407C an...IRJET Journal
The document evaluates the performance of a vapor compression refrigeration system using the refrigerants R407C and R507. Experimental testing was conducted on a system using each refrigerant with variations in ambient temperature and capillary tube diameter. Results showed that both R407C and R507 had lower COP, refrigeration capacity, and higher discharge temperatures compared to R134a. R407C and R507 also used more energy than R134a. Overall, R134a demonstrated better performance than R407C and R507 across all parameters tested.
Desing and Development of a Steady State System SimulatorAlvaro H. Pescador
1. The document describes the development of a Steady State System Simulator (SIMPRES) to model various chemical engineering equipment processes.
2. The author was responsible for developing the simulation modules for pumps, compressors, heat exchangers, valves, and turbines. He also developed the thermodynamic and physicochemical property algorithms using equations of state.
3. SIMPRES allowed users to simulate different types of heat exchangers by specifying necessary input parameters. It also included a database of 471 compounds to compute mixture properties.
The document describes the development of a Steady State System Simulator (SIMPRES) to model various chemical engineering equipment processes. Key points:
- The author was responsible for developing simulation modules for pumps, compressors, heat exchangers, valves and turbines as part of the project.
- SIMPRES includes a database of 471 compounds and can compute various thermodynamic and physicochemical properties for mixtures of up to 10 compounds.
- The simulator allows modeling of common unit operations including mixers, splitters, reactors, distillation towers, absorption towers and more.
- Input and output streams are defined for each unit operation, and appropriate parameters must be specified to run the simulations.
IRJET- Enhancement of COP of Vapor Compression Refrigeration Cycle using CFDIRJET Journal
This document discusses enhancing the coefficient of performance (COP) of a vapor compression refrigeration cycle using computational fluid dynamics (CFD).
It presents a study that uses a diffuser between the compressor and condenser to reduce the kinetic energy of the refrigerant leaving the compressor. This lowers the power input to the compressor, thereby improving the COP. Experimental results found adding a 15 degree divergence angle diffuser increased the COP from 3.83 to 5.55, a 31% enhancement.
The experimental results are validated using CFD modeling and analysis software. Modeling and meshing is done in ICEMCFD, analysis in CFX, and post-processing in CFD POST to verify the COP improvement
(
ME- 495 Laboratory Exercise
–
Number 1
– Brayton Cycle -
ME Department, SDSU
-
Nourollahi
) (
11
)Brayton Cycle (Gas Turbine Power Cycle)
Objective
The objective of this lab exercise is to gain practical knowledge of the Brayton cycle. The Brayton cycle illustrates the cold-air-standard assumption (constant specific heats at room temperature) model of a gas turbine power cycle. A portable propulsion laboratory[footnoteRef:1] containing a Model SR-30 turbojet is used in this exercise. The student shall apply the basic equations for Brayton cycle analysis by using empirical measurements at different points in the Brayton cycle. [1: Manufactured by Turbine Technologies Ltd. Called TTL Mini-Lab]
Figure 1: TTL Mini-Lab manufactured by Turbine Technologies Ltd. (TTL)Background
A simple gas turbine engine has three main components: a compressor section, a combustion chamber and a turbine section. Basic operation entails drawing atmospheric air into the compressor where it is heated through compression. The compressed and heated air is mixed with fuel in the combustion chamber. The air/fuel mixture burns at constant pressure in the combustion chamber. The resulting hot gas is directed to the turbine section where it expands. As the gas expands it produces a thrust reaction and performs work by turning the turbine. The turbine is connected to the compressor by a shaft. The resulting shaft work is used to drive the compressor and auxiliary power supplies.
The gas turbine has wide spread application. Most notably, it is used to power and propel aircraft and large ships. In some cases only the thrust resulting from the expanding gas exiting the turbine is used for propulsion and the shaft work is used to drive the compressor and power electrical systems. In turbo-fan engines some of the shaft work is used to drive a large fan that aids in propulsion. In other applications, such as helicopters and ships, propulsion is achieved through the shaft work, which is used to drive transmission/gear boxes that are connected to the rotor blades or propeller, respectively. Gas turbines are also commonly used to drive large electrical generators in power plant applications.Theory
The Brayton cycle consists of four basic processes (see Figure3 & 4). Low-pressure air is drawn into the compressor section and undergoes isentropic compression. Next, the heated and compressed air is combined with fuel in the combustion chamber. The air/fuel mixture experiences reversible constant pressure heat addition. The resulting hot gas enters the turbine section where it undergoes isentropic expansion. To complete the cycle (the exhaust and intake in the open cycle) the gas experiences reversible constant pressure heat rejection.
Thermodynamics and the First Law of Thermodynamics determine the overall energy transfer. The following assumptions are used when analyzing the gas turbine cycles:
1. The working fluid (air) is an ideal gas throughout the cycle.
2. The combust ...
Thermodynamic Simulation of Steam Power Cycles using GUIMatLab InterfacesIJERA Editor
Steam power cycles are constituted by a series of thermodynamic processes that aim convert the thermal energy of a fluid in mechanical work, which can then be transformed into electrical energy. There are many types of steam power cycles in the world, using various work fluids that may or may not undergo some change in their thermodynamic state. The Rankine Cycle is a steam power cycle that use usually water as work fluid to move turbines and produce work. Nowadays, this steam power cycle is the most used in thermoelectric plants to produce electricity. This work aims the creation of a program in MatLab software with an interface (Graphical Unit Interface, GUI) to simulate many configurations of Rankine cycles, providing to the user the values of the main parameters of these processes, that is: required heat in the boiler; work generated in the turbine; required work in the pumps and the thermal efficiency of the cycle. This program provides good results, showing that it can be used to improve the functions of the equipments in these thermodynamic cycles and to support the teaching disciplines of Applied Thermodynamic
Design and Development of Cascade Refrigeration SystemIRJET Journal
1) The document describes the design and development of a cascade refrigeration system using R22 in the low temperature circuit (LTC) and R134a in the high temperature circuit (HTC).
2) Cascade refrigeration systems use two independent refrigeration cycles coupled together to achieve very low temperatures, below what is possible with a single-stage vapor compression cycle.
3) Key parameters analyzed include the refrigeration effect, compressor work, coefficient of performance (COP), and how improving the effectiveness of the cascade heat exchanger can increase COP.
Optimization through Mathematical Modelling of Irreversibility and Other Para...IRJET Journal
This document discusses optimization of irreversibility and other parameters in a simple vapor compression refrigeration cycle using the refrigerant R-134a through mathematical modeling. It summarizes previous research that analyzed refrigeration cycles using exergy analysis and the second law of thermodynamics. The study establishes relationships between evaporator temperature and performance parameters like COP, total exergy change, irreversibility, ECOP, and second law efficiency. It analyzes these parameters for different evaporator temperatures to develop a mathematical model to calculate one parameter given a value for another. The model aims to optimize irreversibility and other factors in the refrigeration cycle.
Complete Evaluation of Vapour Compression Refrigeration System using R407C an...IRJET Journal
The document evaluates the performance of a vapor compression refrigeration system using the refrigerants R407C and R507. Experimental testing was conducted on a system using each refrigerant with variations in ambient temperature and capillary tube diameter. Results showed that both R407C and R507 had lower COP, refrigeration capacity, and higher discharge temperatures compared to R134a. R407C and R507 also used more energy than R134a. Overall, R134a demonstrated better performance than R407C and R507 across all parameters tested.
Desing and Development of a Steady State System SimulatorAlvaro H. Pescador
1. The document describes the development of a Steady State System Simulator (SIMPRES) to model various chemical engineering equipment processes.
2. The author was responsible for developing the simulation modules for pumps, compressors, heat exchangers, valves, and turbines. He also developed the thermodynamic and physicochemical property algorithms using equations of state.
3. SIMPRES allowed users to simulate different types of heat exchangers by specifying necessary input parameters. It also included a database of 471 compounds to compute mixture properties.
The document describes the development of a Steady State System Simulator (SIMPRES) to model various chemical engineering equipment processes. Key points:
- The author was responsible for developing simulation modules for pumps, compressors, heat exchangers, valves and turbines as part of the project.
- SIMPRES includes a database of 471 compounds and can compute various thermodynamic and physicochemical properties for mixtures of up to 10 compounds.
- The simulator allows modeling of common unit operations including mixers, splitters, reactors, distillation towers, absorption towers and more.
- Input and output streams are defined for each unit operation, and appropriate parameters must be specified to run the simulations.
IRJET- Enhancement of COP of Vapor Compression Refrigeration Cycle using CFDIRJET Journal
This document discusses enhancing the coefficient of performance (COP) of a vapor compression refrigeration cycle using computational fluid dynamics (CFD).
It presents a study that uses a diffuser between the compressor and condenser to reduce the kinetic energy of the refrigerant leaving the compressor. This lowers the power input to the compressor, thereby improving the COP. Experimental results found adding a 15 degree divergence angle diffuser increased the COP from 3.83 to 5.55, a 31% enhancement.
The experimental results are validated using CFD modeling and analysis software. Modeling and meshing is done in ICEMCFD, analysis in CFX, and post-processing in CFD POST to verify the COP improvement
(
ME- 495 Laboratory Exercise
–
Number 1
– Brayton Cycle -
ME Department, SDSU
-
Nourollahi
) (
11
)Brayton Cycle (Gas Turbine Power Cycle)
Objective
The objective of this lab exercise is to gain practical knowledge of the Brayton cycle. The Brayton cycle illustrates the cold-air-standard assumption (constant specific heats at room temperature) model of a gas turbine power cycle. A portable propulsion laboratory[footnoteRef:1] containing a Model SR-30 turbojet is used in this exercise. The student shall apply the basic equations for Brayton cycle analysis by using empirical measurements at different points in the Brayton cycle. [1: Manufactured by Turbine Technologies Ltd. Called TTL Mini-Lab]
Figure 1: TTL Mini-Lab manufactured by Turbine Technologies Ltd. (TTL)Background
A simple gas turbine engine has three main components: a compressor section, a combustion chamber and a turbine section. Basic operation entails drawing atmospheric air into the compressor where it is heated through compression. The compressed and heated air is mixed with fuel in the combustion chamber. The air/fuel mixture burns at constant pressure in the combustion chamber. The resulting hot gas is directed to the turbine section where it expands. As the gas expands it produces a thrust reaction and performs work by turning the turbine. The turbine is connected to the compressor by a shaft. The resulting shaft work is used to drive the compressor and auxiliary power supplies.
The gas turbine has wide spread application. Most notably, it is used to power and propel aircraft and large ships. In some cases only the thrust resulting from the expanding gas exiting the turbine is used for propulsion and the shaft work is used to drive the compressor and power electrical systems. In turbo-fan engines some of the shaft work is used to drive a large fan that aids in propulsion. In other applications, such as helicopters and ships, propulsion is achieved through the shaft work, which is used to drive transmission/gear boxes that are connected to the rotor blades or propeller, respectively. Gas turbines are also commonly used to drive large electrical generators in power plant applications.Theory
The Brayton cycle consists of four basic processes (see Figure3 & 4). Low-pressure air is drawn into the compressor section and undergoes isentropic compression. Next, the heated and compressed air is combined with fuel in the combustion chamber. The air/fuel mixture experiences reversible constant pressure heat addition. The resulting hot gas enters the turbine section where it undergoes isentropic expansion. To complete the cycle (the exhaust and intake in the open cycle) the gas experiences reversible constant pressure heat rejection.
Thermodynamics and the First Law of Thermodynamics determine the overall energy transfer. The following assumptions are used when analyzing the gas turbine cycles:
1. The working fluid (air) is an ideal gas throughout the cycle.
2. The combust ...
IRJET-V9I12214.Comparative Computational analysis of performance parameters f...IRJET Journal
This document presents a computational analysis comparing the performance of a shell and tube heat exchanger using different working fluids and a helical insert. It analyzes heat transfer rate, overall heat transfer coefficient, and effectiveness using water, SiO2 nanofluid at 0.4% volume fraction, and a helically twisted insert. The nanofluid and insert improve performance by increasing turbulence and the heat transfer coefficient compared to water alone. Calculations of nanofluid properties, heat exchanger parameters, and a performance evaluation criterion are presented. CFD analysis in SolidWorks is used to simulate and validate the virtual heat exchanger model against experimental results.
In this paper the finite element analysis of aHeat Exchanger is done. The geometry was
modelled in CATI A V5 R21 and finite element analysis had been performed in ANSYS12 WB. FE analysis
is was used to determine stress analysis at.
This document summarizes an article from the International Journal of Mechanical Engineering and Technology. It describes the development of a mathematical and simulation model to analyze the effects of engine design parameters on the performance and emissions of spark ignition engines. The model can be used to simulate engine operation and assist with engine design. It examines three engine designs (under square, square, and over square) running on gasoline, LPG, and CNG. The model calculates output power, efficiency, fuel consumption, ignition delay, exhaust temperature, heat loss, and exhaust emissions for each design/fuel combination. It found square engines (stroke/diameter ratio of 1) to be the most efficient and suitable design overall.
Development Of GUI Based Programme For Thermal Characterisation And Life Expe...IOSR Journals
This document describes the development of a graphical user interface (GUI) using MATLAB to characterize the thermal performance and estimate the life expectancy of transformers. The GUI allows users to calculate key parameters like top oil temperature, hotspot temperature, efficiency, and loss of life for a transformer, both with and without the effects of harmonics. Inputs like ambient temperature, load losses, and initial top oil temperature are entered into the GUI. When executed, the program behind the GUI uses appropriate equations to determine the outputs, which are displayed. The GUI provides a simple and user-friendly way for transformer designers and others to analyze thermal characteristics without an extensive software background.
A Review on Performance Comparison of VCRs &VARsdbpublications
This document provides a review and comparison of vapour absorption refrigeration systems (VARS) and vapour compression refrigeration systems (VCRS). It discusses the basic operating principles, components, and performance metrics of each system. VARS use a heat source to drive the refrigeration cycle, while VCRS use mechanical work from a compressor. The coefficient of performance (COP) is generally higher for VCRS, but VARS can utilize low-grade waste heat, making them more suitable for some large-scale applications. The document also examines various methods for improving the performance of both VCRS and VARS.
Performance improvement by reducing compressor work of r 134 a and r22 used r...IAEME Publication
This document describes a simulation study comparing the performance of a basic vapor compression refrigeration system to one using a two-phase ejector. The study found that using an ejector with R-134a as the working fluid and optimal ejector geometry parameters increased the system COP by 19.7% compared to the basic system. Key findings included that maximum COP occurred at an ejector area ratio of 14 and entrainment ratio of 0.53. The ejector system performance depended mainly on diffuser efficiency, as higher diffuser efficiency increased pressure and decreased compressor work, thereby increasing COP. Nozzle efficiency also impacted performance, but to a lesser degree.
The document is an internship report that includes:
1. Acknowledgments thanking those who helped with the internship and report.
2. Calculations of the ideal and actual efficiencies of a gas turbine (KGT-2501) by analyzing operating parameters.
3. Ways to increase the thermal efficiency of the gas turbine by decreasing inlet temperature or washing the compressor.
4. An evaluation of the heat duties of convection coils in a primary reformer furnace by calculating mass flow rates, specific heats, and temperature differences at different loads.
This document summarizes a method for optimally scheduling gas turbine compressor washing to minimize fuel consumption and emissions. It describes a dynamic model for estimating compressor degradation over time using a Kalman filter. It then presents an economic optimization model that considers fuel and maintenance costs to determine the optimal schedule and types of compressor washes (online, offline, idle) to maximize efficiency. Simulations showed potential fuel and cost savings compared to a fixed maintenance schedule by optimizing the timing and types of washes over a one-year period.
This document summarizes a method for optimally scheduling gas turbine compressor washing to minimize fuel consumption and emissions. It describes a dynamic model for estimating compressor degradation over time using a Kalman filter. It then presents an economic optimization model that considers fuel and maintenance costs to determine the optimal schedule and types of compressor washes (online, offline, idle) to maximize efficiency. Simulations showed potential fuel and cost savings compared to a fixed maintenance schedule by optimizing the timing and types of washes over a one-year period.
This presentation is to show how to design heat exchanger from process simulation data to complete mechanical design by using two software HTRI and COMPRESS in seamless streamline Auto duping data.
Seminar Report on Automobile Air-Conditioning based on VAC using Exhaust HeatBhagvat Wadekar
The theoretical analysis, the feasibility of such a system in a positive frame. It can be summarized that: In the exhaust gases of motor vehicles, there is enough heat energy that can be utilized to power an air-conditioning system. Therefore, if air-conditioning is achieved without using the engine’s mechanical output, there will be a net reduction in fuel consumption and emissions. Once a secondary fluid such as water or glycol is used, the aqua-ammonia combination appears to be a good candidate as a working fluid for an absorption car air-conditioning system. This minimizes any potential hazard to the passengers. The low COP value is an indication that improvements to the cycle are necessary. A high purity refrigerant would give a higher refrigeration effect, while the incorporation of a solution heat exchanger would reduce the input heat to the generator. The present system has both a reflux condenser and a heat exchanger. However, the reflux condenser is proved inadequate to provide high purity of the refrigerant and needs to be re-addressed. The evaluation of the COP, with and without the heat exchanger also proves that unless there is a high purity refrigerant, the effect of the heat exchanger to the generator’s heat is small.
Validation of Design Parameters of Radiator using Computational ToolIRJET Journal
This document discusses the validation of design parameters for automobile radiators using computational tools. It presents two case studies where the thermal performance of radiators is analyzed using the log mean temperature difference (LMTD) and number of transfer units (NTU) methods and the results are compared to those from a computational software tool (HXCombine). The results show good agreement between the manual calculations and software outputs, validating the use of computational tools for radiator design. Parameters like heat transfer rate, outlet temperatures, effectiveness and heat transfer area are compared for both case studies. This research demonstrates that computational tools can accurately analyze and design radiator performance.
Use of Hydrogen in Fiat Lancia Petrol engine, Combustion Process and Determin...IOSR Journals
To our path towards green economy, Hydrogen is often regarded to have a potential growth in the
coming future. However, the high cost of operation of fuel cell has often been a setback. If we could make use of
hydrogen gas as a fuel directly, the scope of development broadens. Owing to these aspects, this work primarily
focuses on the simulation technique of an Internal Combustion Spark Ignition Engine powered by Hydrogen gas.
The simulations of various stages have been carried out using the discrete approach, thereby investigating the
pressures and temperatures at various instants in the cycle. For the relative performance discussion we have
simulated the different cycles as ideal cycle, air fuel cycle and actual cycle. The resultant cyclic graph indicates
various discrepancies between ideal, air fuel and actual cycle. This analysis serves as a tool for a better
understanding of the variables involved and helps in optimizing engine design and fixing of various parameters,
including the determination of valve timings. Besides this, backfire, is the commonly faced problem with the
hydrogen engines. To reduce this effect, a fuel injectoris used for adding the gaseous fuel to the combustion
chamber.
IRJET- Thermodynamic Performance Comparison between Ethylene and Ethane in Tr...IRJET Journal
The document compares the thermodynamic performance of ethane and ethylene as refrigerants in transcritical refrigeration cycles with and without an internal heat exchanger. Equations for energy and exergy analysis are presented. Results show that when using ethane, both the basic transcritical cycle and cycle with an internal heat exchanger have higher COP, lower optimum discharge pressure, and higher second law efficiency compared to ethylene. Therefore, the study finds that using ethane in a basic transcritical cycle with an internal heat exchanger is preferable.
MULTIPHASE SIMULATION OF AUTOMOTIVE HVAC EVAPORATOR USING R134A AND R1234YF R...IAEME Publication
This paper presents a multiphase simulation of evaporator in automotive air conditioningsystem was done by using R134a and R1234yf as working fluid (refrigerants) to know the
performance parameters. A CFD model was built to simulate the multiphase flow and the Thermalanalysis is carried out for the evaporator by using R134a and R1234yf refrigerants with constantmass flow rate. The results obtained after the simulation areexpressed in the figures of volumes
fraction, temperature, velocity of refrigerants. The CFD simulation was compared with both therefrigerants. And it was also thus conforming that the CFD model was successful in reproducingthe heat and mass transfer process in HVACevaporator using R134a and R1234yf refrigerants
This document provides information about the Thermal Engineering course ME6404 for 4th semester mechanical engineering students at RMK College of Engineering and Technology. It was compiled by Assistant Professor Bibin C. The course covers gas power cycles, internal combustion engines, steam nozzles and turbines, air compressors, and refrigeration and air conditioning systems. It lists the course objectives, units of study, textbooks, and references. The document also provides definitions and explanations of key concepts in thermal engineering such as work, heat, entropy, and processes like isothermal, adiabatic, throttling and free expansion.
IRJET- Comparative Analysis of the Performance of R22 with its Alternative ...IRJET Journal
This document compares the performance of three refrigerants: R22, R134A, and R407C. It analyzes their thermodynamic properties and performance in a vapor compression refrigeration system. The analysis finds that R407C has performance closest to R22, with COP and refrigerating effect between R22 and R134A. It concludes that R407C is a potential replacement for R22 in new and existing systems with minimal changes required.
Thermodynamic Analysis of a Cascade Refrigeration System Based On Carbon Diox...IJERA Editor
Thermodynamic analysis of a cascade refrigeration system that uses carbon dioxide-ammonia (R744-R717) as refrigerant is presented in this paper to determine the optimum condensing temperature of the cascade condenser at given design parameters, to maximize the COP of the system. The design and operating parameters considered in this study include (1) condensing, sub cooling, evaporating and super heating temperatures in the ammonia (R717) high-temperature circuit, (2) temperature difference in the cascade heat exchanger, and (3) evaporating, superheating, condensing and sub cooling in the carbon dioxide (R744) low-temperature circuit. A multilinear regression analysis was employed in order to develop two useful correlations for maximum COP, and optimum condensing temperature.
CFD Simulation of Solar Air Heater having Inclined Discrete Rib Roughness wit...IRJET Journal
This document presents a computational fluid dynamics (CFD) simulation of a solar air heater duct with inclined discrete rib roughness and a staggered convex element. The study aims to develop a 3D CFD model to analyze heat transfer and fluid flow performance. Boundary conditions and material properties are defined. A mesh is generated and the RNG k-epsilon turbulence model is used. Results for velocity, temperature, and turbulent kinetic energy contours are presented along with charts showing variations in Nusselt number with Reynolds number and roughness pitch. Inclined discrete ribs with a staggered convex element are found to improve heat transfer in the solar air heater duct.
This document discusses the thermodynamic analysis of a nitrogen liquefaction system based on the Kapitza cycle, which is a modified Claude cycle. Some key points:
- The Kapitza cycle was modified from the Claude cycle by eliminating the third heat exchanger and using a rotary expander instead of a reciprocating one.
- A mathematical model of the Kapitza cycle was developed using EES to evaluate parameters like expander flow fraction, isentropic efficiency, and the figure of merit (FOM) of the cycle.
- The FOM is defined as the ratio of theoretical minimum work to actual work and provides a measure of how close the real system comes to ideal performance.
The Articles of Confederation promoted liberty but sacrificed stability and security, leading to its downfall. It established a loose confederation that gave too much power to states at the expense of the central government. However, it did promote the general welfare through laws like the Northwest Ordinance, which established public schools and a path to statehood for new territories. Overall, the Articles of Confederation effectively balanced liberty and unity at first but became too decentralized over time.
Hand Writing In Notebook Made From Recycled Paper Stock Photo - ImageAmy Roman
The essay describes the author's 5 years of experience riding horses at different barns, focusing on their current horse Stormy who they have competed with in pole bending and other events at the Waupaca County Fair. Over the course of the fair, which lasts 5 days, the author details preparing Stormy, practicing jumping, and having fun with friends in activities like the corn pit despite the challenges of juggling work, family, and horse responsibilities.
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This document presents a computational analysis comparing the performance of a shell and tube heat exchanger using different working fluids and a helical insert. It analyzes heat transfer rate, overall heat transfer coefficient, and effectiveness using water, SiO2 nanofluid at 0.4% volume fraction, and a helically twisted insert. The nanofluid and insert improve performance by increasing turbulence and the heat transfer coefficient compared to water alone. Calculations of nanofluid properties, heat exchanger parameters, and a performance evaluation criterion are presented. CFD analysis in SolidWorks is used to simulate and validate the virtual heat exchanger model against experimental results.
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This document describes the development of a graphical user interface (GUI) using MATLAB to characterize the thermal performance and estimate the life expectancy of transformers. The GUI allows users to calculate key parameters like top oil temperature, hotspot temperature, efficiency, and loss of life for a transformer, both with and without the effects of harmonics. Inputs like ambient temperature, load losses, and initial top oil temperature are entered into the GUI. When executed, the program behind the GUI uses appropriate equations to determine the outputs, which are displayed. The GUI provides a simple and user-friendly way for transformer designers and others to analyze thermal characteristics without an extensive software background.
A Review on Performance Comparison of VCRs &VARsdbpublications
This document provides a review and comparison of vapour absorption refrigeration systems (VARS) and vapour compression refrigeration systems (VCRS). It discusses the basic operating principles, components, and performance metrics of each system. VARS use a heat source to drive the refrigeration cycle, while VCRS use mechanical work from a compressor. The coefficient of performance (COP) is generally higher for VCRS, but VARS can utilize low-grade waste heat, making them more suitable for some large-scale applications. The document also examines various methods for improving the performance of both VCRS and VARS.
Performance improvement by reducing compressor work of r 134 a and r22 used r...IAEME Publication
This document describes a simulation study comparing the performance of a basic vapor compression refrigeration system to one using a two-phase ejector. The study found that using an ejector with R-134a as the working fluid and optimal ejector geometry parameters increased the system COP by 19.7% compared to the basic system. Key findings included that maximum COP occurred at an ejector area ratio of 14 and entrainment ratio of 0.53. The ejector system performance depended mainly on diffuser efficiency, as higher diffuser efficiency increased pressure and decreased compressor work, thereby increasing COP. Nozzle efficiency also impacted performance, but to a lesser degree.
The document is an internship report that includes:
1. Acknowledgments thanking those who helped with the internship and report.
2. Calculations of the ideal and actual efficiencies of a gas turbine (KGT-2501) by analyzing operating parameters.
3. Ways to increase the thermal efficiency of the gas turbine by decreasing inlet temperature or washing the compressor.
4. An evaluation of the heat duties of convection coils in a primary reformer furnace by calculating mass flow rates, specific heats, and temperature differences at different loads.
This document summarizes a method for optimally scheduling gas turbine compressor washing to minimize fuel consumption and emissions. It describes a dynamic model for estimating compressor degradation over time using a Kalman filter. It then presents an economic optimization model that considers fuel and maintenance costs to determine the optimal schedule and types of compressor washes (online, offline, idle) to maximize efficiency. Simulations showed potential fuel and cost savings compared to a fixed maintenance schedule by optimizing the timing and types of washes over a one-year period.
This document summarizes a method for optimally scheduling gas turbine compressor washing to minimize fuel consumption and emissions. It describes a dynamic model for estimating compressor degradation over time using a Kalman filter. It then presents an economic optimization model that considers fuel and maintenance costs to determine the optimal schedule and types of compressor washes (online, offline, idle) to maximize efficiency. Simulations showed potential fuel and cost savings compared to a fixed maintenance schedule by optimizing the timing and types of washes over a one-year period.
This presentation is to show how to design heat exchanger from process simulation data to complete mechanical design by using two software HTRI and COMPRESS in seamless streamline Auto duping data.
Seminar Report on Automobile Air-Conditioning based on VAC using Exhaust HeatBhagvat Wadekar
The theoretical analysis, the feasibility of such a system in a positive frame. It can be summarized that: In the exhaust gases of motor vehicles, there is enough heat energy that can be utilized to power an air-conditioning system. Therefore, if air-conditioning is achieved without using the engine’s mechanical output, there will be a net reduction in fuel consumption and emissions. Once a secondary fluid such as water or glycol is used, the aqua-ammonia combination appears to be a good candidate as a working fluid for an absorption car air-conditioning system. This minimizes any potential hazard to the passengers. The low COP value is an indication that improvements to the cycle are necessary. A high purity refrigerant would give a higher refrigeration effect, while the incorporation of a solution heat exchanger would reduce the input heat to the generator. The present system has both a reflux condenser and a heat exchanger. However, the reflux condenser is proved inadequate to provide high purity of the refrigerant and needs to be re-addressed. The evaluation of the COP, with and without the heat exchanger also proves that unless there is a high purity refrigerant, the effect of the heat exchanger to the generator’s heat is small.
Validation of Design Parameters of Radiator using Computational ToolIRJET Journal
This document discusses the validation of design parameters for automobile radiators using computational tools. It presents two case studies where the thermal performance of radiators is analyzed using the log mean temperature difference (LMTD) and number of transfer units (NTU) methods and the results are compared to those from a computational software tool (HXCombine). The results show good agreement between the manual calculations and software outputs, validating the use of computational tools for radiator design. Parameters like heat transfer rate, outlet temperatures, effectiveness and heat transfer area are compared for both case studies. This research demonstrates that computational tools can accurately analyze and design radiator performance.
Use of Hydrogen in Fiat Lancia Petrol engine, Combustion Process and Determin...IOSR Journals
To our path towards green economy, Hydrogen is often regarded to have a potential growth in the
coming future. However, the high cost of operation of fuel cell has often been a setback. If we could make use of
hydrogen gas as a fuel directly, the scope of development broadens. Owing to these aspects, this work primarily
focuses on the simulation technique of an Internal Combustion Spark Ignition Engine powered by Hydrogen gas.
The simulations of various stages have been carried out using the discrete approach, thereby investigating the
pressures and temperatures at various instants in the cycle. For the relative performance discussion we have
simulated the different cycles as ideal cycle, air fuel cycle and actual cycle. The resultant cyclic graph indicates
various discrepancies between ideal, air fuel and actual cycle. This analysis serves as a tool for a better
understanding of the variables involved and helps in optimizing engine design and fixing of various parameters,
including the determination of valve timings. Besides this, backfire, is the commonly faced problem with the
hydrogen engines. To reduce this effect, a fuel injectoris used for adding the gaseous fuel to the combustion
chamber.
IRJET- Thermodynamic Performance Comparison between Ethylene and Ethane in Tr...IRJET Journal
The document compares the thermodynamic performance of ethane and ethylene as refrigerants in transcritical refrigeration cycles with and without an internal heat exchanger. Equations for energy and exergy analysis are presented. Results show that when using ethane, both the basic transcritical cycle and cycle with an internal heat exchanger have higher COP, lower optimum discharge pressure, and higher second law efficiency compared to ethylene. Therefore, the study finds that using ethane in a basic transcritical cycle with an internal heat exchanger is preferable.
MULTIPHASE SIMULATION OF AUTOMOTIVE HVAC EVAPORATOR USING R134A AND R1234YF R...IAEME Publication
This paper presents a multiphase simulation of evaporator in automotive air conditioningsystem was done by using R134a and R1234yf as working fluid (refrigerants) to know the
performance parameters. A CFD model was built to simulate the multiphase flow and the Thermalanalysis is carried out for the evaporator by using R134a and R1234yf refrigerants with constantmass flow rate. The results obtained after the simulation areexpressed in the figures of volumes
fraction, temperature, velocity of refrigerants. The CFD simulation was compared with both therefrigerants. And it was also thus conforming that the CFD model was successful in reproducingthe heat and mass transfer process in HVACevaporator using R134a and R1234yf refrigerants
This document provides information about the Thermal Engineering course ME6404 for 4th semester mechanical engineering students at RMK College of Engineering and Technology. It was compiled by Assistant Professor Bibin C. The course covers gas power cycles, internal combustion engines, steam nozzles and turbines, air compressors, and refrigeration and air conditioning systems. It lists the course objectives, units of study, textbooks, and references. The document also provides definitions and explanations of key concepts in thermal engineering such as work, heat, entropy, and processes like isothermal, adiabatic, throttling and free expansion.
IRJET- Comparative Analysis of the Performance of R22 with its Alternative ...IRJET Journal
This document compares the performance of three refrigerants: R22, R134A, and R407C. It analyzes their thermodynamic properties and performance in a vapor compression refrigeration system. The analysis finds that R407C has performance closest to R22, with COP and refrigerating effect between R22 and R134A. It concludes that R407C is a potential replacement for R22 in new and existing systems with minimal changes required.
Thermodynamic Analysis of a Cascade Refrigeration System Based On Carbon Diox...IJERA Editor
Thermodynamic analysis of a cascade refrigeration system that uses carbon dioxide-ammonia (R744-R717) as refrigerant is presented in this paper to determine the optimum condensing temperature of the cascade condenser at given design parameters, to maximize the COP of the system. The design and operating parameters considered in this study include (1) condensing, sub cooling, evaporating and super heating temperatures in the ammonia (R717) high-temperature circuit, (2) temperature difference in the cascade heat exchanger, and (3) evaporating, superheating, condensing and sub cooling in the carbon dioxide (R744) low-temperature circuit. A multilinear regression analysis was employed in order to develop two useful correlations for maximum COP, and optimum condensing temperature.
CFD Simulation of Solar Air Heater having Inclined Discrete Rib Roughness wit...IRJET Journal
This document presents a computational fluid dynamics (CFD) simulation of a solar air heater duct with inclined discrete rib roughness and a staggered convex element. The study aims to develop a 3D CFD model to analyze heat transfer and fluid flow performance. Boundary conditions and material properties are defined. A mesh is generated and the RNG k-epsilon turbulence model is used. Results for velocity, temperature, and turbulent kinetic energy contours are presented along with charts showing variations in Nusselt number with Reynolds number and roughness pitch. Inclined discrete ribs with a staggered convex element are found to improve heat transfer in the solar air heater duct.
This document discusses the thermodynamic analysis of a nitrogen liquefaction system based on the Kapitza cycle, which is a modified Claude cycle. Some key points:
- The Kapitza cycle was modified from the Claude cycle by eliminating the third heat exchanger and using a rotary expander instead of a reciprocating one.
- A mathematical model of the Kapitza cycle was developed using EES to evaluate parameters like expander flow fraction, isentropic efficiency, and the figure of merit (FOM) of the cycle.
- The FOM is defined as the ratio of theoretical minimum work to actual work and provides a measure of how close the real system comes to ideal performance.
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Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
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1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
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4. BCP, Surveying volume 1
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4. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
4
CONTENTS
4
CONTENTS
Dedication Part I
Preface Part I
About the Author Part I
About the Software used Part I
To the Student Part I
How to use this Book? Part I
1 Gas Power Cycles Part I
1.1 Definitions, Statements and Formulas used[1-6]: Part I
1.2 Problems on Otto cycle (or, constant volume cycle): Part I
1.3 Problems on Diesel cycle (or, constant pressure cycle): Part I
1.4 Problems on Dual cycle (or, limited pressure cycle): Part I
1.5 Problems on Stirling cycle: Part I
1.6 References: Part I
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5. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
5
CONTENTS
2 Cycles for Gas Turbines and Jet propulsion Part II
2.1 Definitions, Statements and Formulas used[1-7]: Part II
2.2 Problems solved with Mathcad: Part II
2.3 Problems solved with EES: Part II
2.4 Problems solved with TEST: Part II
2.5 References: Part II
3 Vapour Power Cycles Part II
3.1 Definitions, Statements and Formulas used[1-7]: Part II
3.2 Problems solved with Mathcad: Part II
3.3 Problems solved with EES Part II
3.4 Problems solved with TEST: Part II
3.5 References: Part II
4 Refrigeration Cycles 7
4.1 Definitions, Statements and Formulas used [1–7]: 7
4.2 Problems solved with Mathcad: 11
4.3 Problems solved with DUPREX (free software from DUPONT) [8]: 62
4.4 Problems solved with EES: 79
4.5 Problems solved with TEST: 106
4.6 References: 178
5 Air compressors 179
5.1 Definitions, Statements and Formulas used[1-6]: 179
5.2 Problems solved with Mathcad: 187
5.3 Problems solved with EES: 214
5.4 References: 241
6 Thermodynamic relations 242
6.1 Summary of Thermodynamic relations [1–6]: 242
6.2 Problems solved with Mathcad: 256
6.3 Problems solved with EES: 268
6.4 Problems solved with TEST [Ref: 8]: 279
6.5 References: 296
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6. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
6
CONTENTS
7 Psychrometrics Part IV
7.1 Definitions, Statements and Formulas used Part IV
7.2 Problems solved with Mathcad, EES and TEST Part IV
7.3 References Part IV
8 Reactive systems Part IV
8.1 Definitions, Statements and Formulas used Part IV
8.2 Problems solved with Mathcad, EES and TEST Part IV
8.3 References Part IV
9 Compressible fluid flow Part V
9.1 Definitions, Statements and Formulas used Part V
9.2 Problems solved with Mathcad, EES and TEST Part V
9.3 References Part V
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7. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
7
REFRIgERATION CYCLES
4 REFRIGERATION CYCLES
Learning objectives:
1. In this chapter, ‘Refrigeration cycles’ are analyzed.
2. Cycles dealt with are: Ideal and actual vapour compression cycle, Ideal and actual
reversed Brayton cycle (or, Bell Coleman cycle).
3. Several useful Mathcad Functions are written for properties of Refrigerant-R134a in
superheated and two-phase regions, since Mathcad does not have built-in Functions
for R134a, and are used in solving problems. Also, useful Mathcad Functions are
written to facilitate easy calculations for all these cycles.
4. And, many useful Functions/Procedures are written in EES for different variations
of ideal vapour compression refrigeration cycle.
5. Problems from University question papers and standard Text books are solved with
Mathcad, EES and TEST.
=======================================================================
4.1 DEFINITIONS, STATEMENTS AND FORMULAS USED [1–7]:
Note: Figures used in this section are from TEST Software [Ref: 7].
4.1.1 IDEAL VAPOUR COMPRESSION REFRIGERATION CYCLE:
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8. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
8
REFRIgERATION CYCLES
Schematic diagram and the T-s diagram of the ideal vapour compression cycle are shown above.
1-2: Isentropic compression of sat. refrigerant vapour from the evaporator in compressor
2-3: Cooling and condensing in condenser
3-4: expansion in the expansion valve; this occurs at constant enthalpy.
4-1: supply of refrigeration in evaporator
Note the following:
4.1.2 ACTUAL VAPOUR COMPRESSION REFRIGERATION CYCLE:
This takes in to account the isentropic efficiency of the compressor.
Schematic diagram of the system and the T-s diagram are shown below:
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9. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
9
REFRIgERATION CYCLES
4.1.3 REVERSED BRAYTON CYCLE REFRIGERATION (OR, AIR CYCLE
REFRIGERATION OR BELL COLEMAN CYCLE):
This is used in aircraft cabin cooling. Schematic diagram of the system and the T-s diagram
for an actual reversed Brayton cycle refrigeration cycle are shown below:
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10. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
10
REFRIgERATION CYCLES
1-2: Isentropic compression of air from the cold region in compressor
1-3: actual compression
3-4: cooling of compressed air at constant pressure
4-5: isentropic expansion of air in the turbine
4-6: actual expansion in turbine
Note that the following calculations are done assuming constant sp. heat for air:
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11. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
11
REFRIgERATION CYCLES
4.2 PROBLEMS SOLVED WITH MATHCAD:
Note:
Mathcad does not have built-in functions for Refrigerants. So, generally, while
solving problems on vapour compression refrigeration cycles which use refrigerants
such as R-12, R-22, R-134a, as working substance, we have to refer to tables often to get
properties of refrigerant at various state points.
So, we shall first develop few simple Mathcad Functions for refrigerant R134a, based
on published Tables (Ref: TEST software, www.thermofluids.net), and then use them in
solving problems. These Functions use the built-in linear interpolation function ‘linterp’ in
Mathcad to get properties from the Tables.
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12. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
12
REFRIgERATION CYCLES
12
Prob.4.2.1. Write Mathcad programs/Functions for properties of refrigerant R134a:
Mathcad Solution:
Our Mathcad Functions are based on published R134a Tables (Ref:[7]: TEST Software,
www.thermofluids.net).
There are separate Tables for Superheated and Saturated R134a
First, for Superheated R134a:
For each pressure, the Table is copied as a matrix in Mathcad, each column is extracted as
a vector, and linear interpolation is done for intermediate values.
Functions are written for the following pressures: 0.6, 1.0, 1.4, 1.8, 2, 2.4, 2.8, 3.2, 4, 5,
6, 7, 8, 9, 10, 12, 14, 16 bar.
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13. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
13
REFRIgERATION CYCLES
A sample set of Functions written for a pressure of 5 bar are shown below:
Then, all the Functions written for the different pressures are combined into a single program
with linear interpolation applied for any desired pressure:
This Function returns enthalpy (h, kJ/kg) and entropy (s, kJ/kg.C) when pressure (P, in bar)
and temp (T, in C) are input.
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16. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
16
REFRIgERATION CYCLES
16
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17. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
17
REFRIgERATION CYCLES
Further, for convenience and uniformity, we write the following programs to get enthalpy
and entropy of R134a when P and T are given in bar and deg.C respectively:
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18. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
18
REFRIgERATION CYCLES
18
Next, we write Functions for properties of R134a in the two-phase region:
Here, the Sat. pressure Table is used.
To write the Functions, we extract each column from the Table as a vector and use them to
get interpolated values, in conjunction with the interpolation function ‘linterp’ in Mathcad.
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19. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
19
REFRIgERATION CYCLES
The different vectors extracted from the Table are shown below:
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20. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
20
REFRIgERATION CYCLES
Following very useful Functions are written to find out enthalpy, entropy, sp. volume of
both the sat. liquid and sat. vapor conditions, as functions of sat. temp and sat. pressures.
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21. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
21
REFRIgERATION CYCLES
21
Note that pressure is in bar in these Functions:
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22. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
22
REFRIgERATION CYCLES
Further, following additional functions for finding out the quality in the two-phase region
are written. They are very useful in calculations related to vapour compression refrigeration
cycle, using R134a.
In the following program: psat = sat. pr.(bar), tsat = sat. temp (C), s = entropy (kJ/kg.C),
h = enthalpy (kJ/kg), x = quality:
Prob.4.2.2. In an ideal vapour compression refrigeration system, R134a is the refrigerant.
Cold space is at -10 C. Condenser pressure is 9 bar. Find, for a flow rate of 1 kg/s:
(i) the compressor power in kW, (ii) refrigeration capacity in tons, and (iii) the coeff. of
performance (COP).
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23. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
23
REFRIgERATION CYCLES
(b) Plot COP and refrigeration capacity vs evaporator temp (T1) as evaporator temp varies
from -30 C to -10 C:
Mathcad Solution:
Essentially, we have to find the enthalpies at various state points.
And, this is done very easily with the Mathcad Functions written above:
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26. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
26
REFRIgERATION CYCLES
(b) Plot COP and refrigeration capacity vs evaporator temp (T1) as evaporator temp
varies from -30 C to -10 C:
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27. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
27
REFRIgERATION CYCLES
27
=======================================================================
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28. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
28
REFRIgERATION CYCLES
Prob.4.2.3. In prob. 4.2.2, if the isentropic efficiency of compressor is 80%, determine the
values for compressor work, refrigeration capacity, heat exchange in condenser and the COP.
(b) Plot compressor work, heat transfer in condenser and the COP as compressor efficiency
varies from 60% to 100%.
(c) Also, plot the variation of these quantities as condenser pressure varies from 4 bar to
13 bar, for compressor efficiencies of 0.8, 0.9 and 1, other parameters remaining constant.
Fig.Prob. 4.2.3 T-s diagram for actual vapour compression cycle
Mathcad Solution:
As in the previous case, we have to find the enthalpies at various state points.
And, this is done very easily with the Mathcad Functions written above.
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30. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
30
REFRIgERATION CYCLES
30
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31. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
31
REFRIgERATION CYCLES
Compare these results with those for the previous problem, where compressor efffcy.
was 100%.
(b) Plot compressor work, heat tr. in condenser, and the COP as compressor efficiency
varies from 60% to 100%.
Note that the Mathcad Functions defined in this problem for qL
, qH
, wcomp
, COP etc are
very versatile, and we can plot graphs for variation of any one or more of them together.
This is illustrated below:
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33. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
33
REFRIgERATION CYCLES
33
(c) Also, plot the variation of these quantities as condenser pressure varies from 4 bar to
13 bar, for compressor efficiencies of 0.8, 0.9 and 1, other parameters remaining constant.
Now:
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36. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
36
REFRIgERATION CYCLES
36
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37. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
37
REFRIgERATION CYCLES
=======================================================================
Prob.4.2.4. Arefrigerator uses R134a as working fluid and operates on the ideal vapour
compression refrigeration cycle except for the compression process. The refrigerant enters
the evaporator at 129 kPa with a quality of 30% and leaves the compressor at 60 C. If
the compressor consumes 450 W of power, determine: (i) mass flow rate of refrigerant,
(ii) condenser pressure, and (iii) the COP. [Ref: 1]
Fig.Prob. 4.2.4 T-s diagram for actual vapour compression cycle
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38. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
38
REFRIgERATION CYCLES
Mathcad Solution:
Essentially, we have to find the enthalpies at various state points.
And, this is done very easily with the Mathcad Functions written above:
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39. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
39
REFRIgERATION CYCLES
39
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40. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
40
REFRIgERATION CYCLES
=======================================================================
Prob.4.2.5. In a vapour compression cycle using R134a as refrigerant, evaporator pressure is
1.2 bar, condenser pressure is 8 bar,and compressor isentropic effcy. is 65%. If there is 5 C
superheating at entry to compressor and 5 C subcooling before entry to expansion valve,
calculate the values for refrig. effect (kJ/kg), compressor work (kJ/kg) and COP.
Fig.Prob. 4.2.5 T-s diagram for actual vapour compression cycle,
with superheating and subcooling
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41. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
41
REFRIgERATION CYCLES
Mathcad Solution:
Finding out the enthalpies at various points is done very easily with the Mathcad Functions
written above:
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42. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
42
REFRIgERATION CYCLES
42
=======================================================================
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43. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
43
REFRIgERATION CYCLES
Prob.4.2.6. Write Mathcad Functions for reversed Brayton cycle refrigeration cycle (i.e. Air
cycle refrigeration or Bell – Coleman cycle) to find out COP etc:
Fig.Prob. 4.2.6 Reversed Brayton cycle refirigeration cycle and its T-s diagram
Mathcad Solution:
We write Mathcad Function for air as working substance with constant sp. heats,
including the isentropic efficiencies of compressor and turbine:
The Mathcad Program is shown below:
In this program the LHS gives the name of the Function, and the inputs inside brackets; (here,
it is shown as the first line, and rest of the program is shown below it, to conserve space).
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44. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
44
REFRIgERATION CYCLES
Inputs are:
P1, P2…compressor inlet and exit pressures, in bar
T1, T4…compressor and turbine inlet temps, in K
ηcomp
, ηturb
…compressor and turbine isentropic efficiencies
γ, cp…ratio of sp. heats (cp/cv) and sp. heat at const. pressure (kJ/kg.K), for air
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45. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
45
REFRIgERATION CYCLES
45
Outputs are:
T3 (K) … exit temp of compressor after actual compression
T6 (K) … exit temp of turbine after actual expansion
w_comp … compressor work in kJ/kg
w_turb …, turbine work in kJ/kg
w_net … net work requirement for refrigerator = (w_comp – w_turb), kJ/kg
q_in … refrigeration effect, kJ/kg
COP … coeff. of performance = (q_in / w_net)
spvol1 … specific volume of air at compressor inlet, m^3/kg. (This is given since many times,
while solving problems, volume of air handled by compressor is required to be calculated.)
Now, let us solve a problem to illustrate the use of this Function:
=======================================================================
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46. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
46
REFRIgERATION CYCLES
Prob.4.2.7. Air enters the compressor of an ideal Brayton cycle refrigerator at 100 kPa, 270 K.
Compressor exit pressure is 300 kPa. Temp at turbine inlet is 310 K. Determine: (i) net
work input in kJ/kg (ii) refrigeration capacity in kJ/kg, and (iii) the COP
(b) Plot the above quantities as compressor exit pressure varies from 2 to 6.
Fig.Prob. 4.2.7 Brayton cycle refrigeration – T-s diagram
Mathcad Solution:
The problem is solved easily by using the Mathcad Function written above.
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48. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
48
REFRIgERATION CYCLES
48
Then, we have:
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50. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
50
REFRIgERATION CYCLES
=======================================================================
Prob.4.2.8. In Prob.4.2.7, if the compressor and turbine isentropic efficiencies are 80%
and 90% respectively, determine the new values for net work, refrigeration effect and COP.
(b) Plot the variation of these quantities for equal compressor and turbine efficiencies of
80%, 90% and 95%.
Mathcad Solution:
Now, use the Function written above:
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51. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
51
REFRIgERATION CYCLES
51
To plot wnet
, qin
and COP against P2 for different values of compressor and turbine
efficiencies:
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52. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
52
REFRIgERATION CYCLES
Also, define the above quantities as functions of P2, ηcomp
and ηturb
, so that we can easily
generate the plots:
Then, for net work, we get:
And:
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54. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
54
REFRIgERATION CYCLES
54
And, for COP, we get:
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55. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
55
REFRIgERATION CYCLES
=======================================================================
Prob.4.2.9. A dense air refrigeration machine operating on Bell-Coleman cycle operates
between 3.4 bar and 17 bar. Temp. of air after the cooler is 15 C and after the refrigerator
is 6 C. For a refrigeration capacity of 6 Tons, find: (i) Temp after compression and
expansion, (ii) Air circulation requied per sec., (iii) Work of compression and expansion, and
(iv) COP … [M.U.]
(b) Plot the variation of mass of air, compressor work and COP for a refrign. capacity of
6 tons, as compressor and turbine efficiencies vary together from 70% to 100%
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57. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
57
REFRIgERATION CYCLES
57
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59. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
59
REFRIgERATION CYCLES
(b) Plot the variation of mass of air, compressor work and COP for a refrign. capacity of
6 tons, as compressor and turbine efficiencies vary together from 70% to 100%:
Then:
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60. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
60
REFRIgERATION CYCLES
60
Now, plot the graphs:
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62. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
62
REFRIgERATION CYCLES
4.3 PROBLEMS SOLVED WITH DUPREX (FREE SOFTWARE FROM
DUPONT) [8]:
About the software:
‘DUPONT Refrigeration Expert’ or DUPREX is a free software supplied by M/s DUPONT.
(Ref:http://www2.dupont.com/Refrigerants/en_US/products/DUPREX/DUPREX_registration.
html)
It is a very versatile software, extremely useful to solve many practical problems. It handles
a large number of refrigerants produced by DUPONT.
It has a choice of four cycles: (i) single stage vapour compression cycle (ii) single stage
vapour compression cycle with internal heat exchanger, (iii) Two stage compression cycle
with a cascade, and (iv) Single stage Heat pump cycle.
It can also give properties of refrigerants at a single point, and can also give in tabular
form for a given range and increment. You can copy and paste the results to MS Word or
EXCEL.
There is also a window giving detailed information on Ozone depletion potential, Global
warming potential, Safety classification etc of various refrigerants produced by DUPONT.
See the manual of the software for more information.
Following are the steps:
1. After installing DUPREX, as you click o the DuPont emblem, an opening welcome
screen appears, click OK, then a disclaimer appears, and click OK on it too, and
following screen appears for choice of cycles:
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63. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
63
REFRIgERATION CYCLES
63
In the above:
Cycle 1: Single stage compression cycle
Cycle 2: Single stage compression cycle, with internal heat exchanger
Cycle 3: Two stage compression cycle with a cascade, and
Cycle 4: Single stage Heat pump cycle.
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64. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
64
REFRIgERATION CYCLES
2. Click on Cycle 1. We get:
3. In the above screen, numbers shown bold are the ones which we can change,
depending on the data of our problem. Numbers shown in light are the results.
Refrigerant R134a is chosen by default (see the top right hand corner).
4. Here, by default, calculations are made for a refrigeration effect of 100 kW.
For the given condenser and evaporator temps, and given superheating,
subcooling, compressor isentropic and volumetric efficiencies, and pressure
drops in different components and lines,following quantities are calculated:
the mass flow rate (kg/s) and theoretical compressor displacement (m^3/h),
Volumetric capacity (kJ/m^3), Refrig. capacity (100 kW), compressor power
(kW), condenser heat (kW), COP, pressure ratio (P2/P1) and pressure difference
(P2 – P1, bar).
5. Clicking on ‘Properties’ on the right hand bottom corner, gives a table of properties
at salient points, a shown below:
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65. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
65
REFRIgERATION CYCLES
In the above, remember that reference values for enthalpy and entropy are as per IIR:
h = 200 kJ/kg and s = 1 kJ/kg.C for sat. liquid at 0 C.
6. Clicking on ‘Line sizing’, gives another window a shown below:
Here, we can use the tube material and Standard on the left, top corner.
On the top horizontal line, there are tabs for Suction line, Liquid line and Discharge line
and we can change the required line parameters in the respective windows.
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66. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
66
REFRIgERATION CYCLES
66
Thus, it is a very useful software to make calculations for practical cycles, with a choice of
very large number of refrigerants.
Now, let us solve a few problems with DUPREX:
Prob. 4.3.1. Arefrigerator uses R134a as working fluid and operates on the ideal vapour
compression refrigeration cycle. Evaporator temp is 0 C and condenser temp is 30 C. For
a refrigerant flow rate of 0.08 kg/s, calculate: (i) compressor power in kW, (ii) refrigeration
capacity in tons, (iii) condenser heat transfer, and (iii) the COP.
Solution: Let us use DUPREX software.
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67. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
67
REFRIgERATION CYCLES
Following are the steps:
1. After installing DUPREX, as you click o the DuPont emblem, an opening welcome
screen appears, click OK, then a disclaimer appears, and click OK on it too, and
following screen appears for choice of cycles:
2. Click on Cycle 1. We get the screen with default values; change the numbers in
the bold to required ones for this problem:
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68. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
68
REFRIgERATION CYCLES
3. Note in the above screen that: presuure loses are set to zero, compressor effcy =
100%, condenser temp = 30 C, evaporator temp = 0 C, subcooling and superheatings
are zero.
4. Results (shown in light font)are for a refrign. Capacity of 100 kW. We see that
the mass flow rate of refrigerant is 0.6374 kg/s. Therefore, the refrign. Capacity
for a mass flow rate of 1 kg/s can easily be calculated. To convert refrign. Capacity
to tons, remember that 1 ton = 211 kJ/min. Similarly for compressor power etc.
5. Then, final results for a refrigerant flow rate of 0.08 kg/s are:
Prob.4.3.2. Now, if in the actual cycle, the compressor isentropic effcy is 80%, what will
be the new values of compressor work, condenser heat loss and the COP?
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69. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
69
REFRIgERATION CYCLES
69
Solution:
In the previous problem, on the same screen, change the compressor isentropic effcy
to 0.8, and hit Return. We get following results:
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70. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
70
REFRIgERATION CYCLES
Note that now refrigerator mass flow rate remains the same, but compressor power, condenser
heat and COP change.
Again, for a refrigerant mass flow rate of 0.08 kg/s, we have:
Clicking on ‘Properties’ in the above screen gives properties at various state points:
=======================================================================
Prob.4.3.3.A vapour compression refrigerator of 10 tons capacity using Freon-12 as
refrigerant has an evaporator temp of -10 C and a condenser temp of 30 C. Assuming simple
refrigeration cycle, determine: (i) mass flow rate of refrigerant, (ii) Power input, (iii) COP.
[VTU-ATD-Jan./Feb. 2006 Dec. 2009–Jan. 2010]
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71. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
71
REFRIgERATION CYCLES
Solution with DUPREX:
Following are the steps:
1. After installing DUPREX, as you click o the DuPont emblem, an opening welcome
screen appears, click OK, then a disclaimer appears, and click OK on it too, and
following screen appears for choice of cycles:
2. Click on Cycle 1. We get the screen with default values; change the Refrigerant to
R-12, and the numbers in the bold to required ones for this problem. Note that we
have changed the Refrign. Capacity Q0 to 35.17 since 10 tons of refrigeration =
10 * 211 / 60 = 35.167 kJ/s (=kW). We get:
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72. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
72
REFRIgERATION CYCLES
72
Thus, we get:
Refrigerant flow rate = 0.2949 kg/s = 1.7694 kg/min. … Ans.
Power input to compressor = 6.39 kW … Ans.
COP = 5.5 … Ans.
Condenser heat transfer = 41.56 kW … Ans.
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73. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
73
REFRIgERATION CYCLES
Clicking on ‘Properties’ gives following screen:
=======================================================================
Prob.4.3.4.What will be the changes in the above quantities if the liquid leaving the
condenser is subcooled by 5 deg. C? [VTU-ATD-Jan.–Feb. 2006]
Solution:
In the above calculation screen, just make this change to show subcooling by 5 C, and click
‘Calculations’ (or, hit Enter). We get:
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74. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
74
REFRIgERATION CYCLES
We note that:
Refrigerant flow rate = 0.2831 kg/s = 1.6986 kg/min. … Ans.
Power input to compressor = 6.14 kW … Ans.
COP = 5.73 … Ans.
Condenser heat transfer = 41.31 kW … Ans.
And, Clicking on ‘Properties’ gives following screen:
=======================================================================
Prob.4.3.5. A vapour compression refrigerator of 5 tons capacity using Freon-12 as
refrigerant has an evaporator temp of -10 C and a condenser temp of 40 C. Assuming
simple refrigeration cycle, determine: (i) mass flow rate of refrigerant in kg/s, (ii) volume
flow rate handled by the compressor, in m^3/s, (iii) compressor discharge temp., (iv) the
pressure ratio, (v) heat rejected to the condenser in kW, (vi) COP, and (vii) Power inputto
compressor. [VTU-ATD-July2007]
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75. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
75
REFRIgERATION CYCLES
75
Solution with DUPREX:
Following are the steps:
1. After installing DUPREX, as you click o the DuPont emblem, an opening welcome
screen appears, click OK, then a disclaimer appears, and click OK on it too, and
following screen appears for choice of cycles:
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76. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
76
REFRIgERATION CYCLES
2. Click on Cycle 1. We get the screen with default values; change the Refrigerant to
R-12, and the numbers in the bold to required ones for this problem. Note that
we have changed the Refrign. Capacity Q0 to 17.583 since 5 tons of refrigeration
= 5 * 211 / 60 = 17.583 kJ/s (=kW). We get:
Thus:
1. mass flow rate of refrigerant in kg/s = 0.1612 kg/s … Ans.
2. volume flow rate handled by the compressor = 44.9 m^3/h = 0.0125 m^3/s
… Ans.
3. compressor discharge temp.= T2 = 47.58 C (from Properties tab) … Ans.
4. the pressure ratio = P2/P1 = 4.383… Ans.
5. heat rejected to the condenser in kW = 21.83 kW … Ans.
6. COP = 4.14 …Ans.
7. Power input to compressor = 4.25 kW … Ans.
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77. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
77
REFRIgERATION CYCLES
Clicking on Properties tab gives:
=======================================================================
Prob.4.3.6. A A food storage chamber requires a refrign. System of 10 T capacity with
evaporator temp of -10 C and condenser temp of 30 C. The refrigerant F-12 is subcooled by
5 C before entering the throttle valve and the vapour is superheated by 6 C before entering
the compressor. Determine: (i) refrig. capacity per kg (ii) mass of refrigerant circulated in
kg/s, and (iii) COP. [VTU-ATD-Jan.–Feb. 2003]
Solution with DUPREX:
Following are the steps:
1. After installing DUPREX, as you click o the DuPont emblem, an opening welcome
screen appears, click OK, then a disclaimer appears, and click OK on it too, and
following screen appears for choice of cycles:
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79. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
79
REFRIgERATION CYCLES
Thus:
1. mass flow rate of refrigerant in kg/s = 0.2831 kg/s … Ans.
2. Refrign. capacity per kg = 35.17/0.2831= 124.232 kJ/kg … Ans.
3. COP = 5.57 …Ans.
4. Power input to compressor = 6.32 kW … Ans.
Clicking on Properties tab gives:
=======================================================================
4.4 PROBLEMS SOLVED WITH EES:
Prob.4.4.1 Write an EES Procedure to calculate COP etc of an actual vapour compression
refrigeration cycle i.e. including the subcooling before entry to expansion valve and superheating
before entry to compressor and the isentropic efficiency of the compressor.
EES Solution:
We shall write an EES Procedure which can be used for any refrigerant for which
properties are available as built-in functions in EES.
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80. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
80
REFRIgERATION CYCLES
Fig.Prob. 4.4.1. T-s diagram for actual vapour compression refrig. cycle
$UnitSystem bar C kJ
{Vap_Comp_Refrign_cycle_actual … finds COP etc for an actual, vap. comprn. refrign. cycle.
Pressures in bar, Temps in C, Work in kJ/kg
Inputs: T[1] … evaporator temp (C), T[4] … condenser temp (C), eta_comp … isentr.
effcy of compressor, ,DELTAT_subcool (C),DELTAT_superheat (C)
Outputs: w_comp_isentr,w_comp_act, q_L, q_cond, P[1], P[2], x[5], COP
w_comp_isentr … compressor isentropic work, kJ/kg
w_comp_act … compressor actual work, kJ/kg
q_L , q_cond…. refrign. effect and heat tr in condenser, kJ/kg
P[1], P[2]] … evaporator pressure, and condenser pressure, bar
x[5] … quality after expn in expansion valve
T[3] …temp at exit of compressor after actual compression, C
COP…coefff. of performance = q_L / w_comp_act
}
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81. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
81
REFRIgERATION CYCLES
81
x[1] = 1 “…quality at entry to compressor”
x[4]:=0 “…quality at entry to expn. valve”
P[1] :=P_sat(Fluid$,T=T[1]) “…sat.pressure in evaporator”
P[4]:=P_sat(Fluid$,T=T[4])“…sat.pressure in condenser”
P[2]:= P[4]
P[3]:= P[4]
IF (DELTAT_superheat 0) THEN
s[1]:= Entropy(Fluid$,T=T[1] + DELTAT_superheat,P=P[1])
h[1]:= Enthalpy(Fluid$,P=P[1],s=s[1])
s[2]:=s[1]
h[2]:=Enthalpy(Fluid$,P=P[2],s=s[2])
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82. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
82
REFRIgERATION CYCLES
ELSE
s[1]:=Entropy(Fluid$,T=T[1],x =x[1])“…entropy at entry to compressor”
h[1]:= Enthalpy(Fluid$,T=T[1],x =x[1])“…enthalpy at entry to compressor”
s[2]:= s[1] “…for isentropic compression”
h[2]:=Enthalpy(Fluid$,P=P[2],s=s[2])“…enthalpy after isentropic comprn.”
ENDIF
h[3]:= h[1] + (h[2] – h[1])/eta_comp“…enthalpy after actual comprn.”
T[2] := Temperature(Fluid$,P=P[2],s=s[2])“…temp after isentropic comprn.”
T[3]:= Temperature(Fluid$,P=P[3],h=h[3]) “…temp after actual comprn.”
P[5]:=P[1]
IF (DELTAT_subcool 0) THEN
h[4]:=Enthalpy(Fluid$,x=x[4],T=T[4] – DELTAT_subcool)
ELSE
h[4]:=Enthalpy(Fluid$,P=P[4],x=x[4])
ENDIF
h[5]:=h[4]
T[5] := T[1]
x[5]=Quality(Fluid$,T=T[5],h=h[5])“…quality after expn. in expansion valve”
w_comp_isentr := h[2] – h[1] “kJ/kg … isentr. compressor work”
w_comp_act := h[3] – h[1] “kJ/kg … actual compressor work”
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83. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
83
REFRIgERATION CYCLES
q_L := h[1] – h[5] “kJ/kg … refrig. effect”
q_cond := h[3] – h[4]“kJ/kg ….condenser heat transfer”
COP = q_L / w_comp_act “…coeff. of performance”
END
“=====================================================================”
Now, use the above EES Procedure to solve the following problem:
Prob.4.4.2. A 10 ton Ammonia Ice plant operates between an evaporator temp of -15 C
and a condenser temp of 35 C. Ammonia enters the compressor as dry saturated liquid.
Assuming isentropic compression, determine: (i) mass flow rate of ammonia, (ii) COP, and
(iii) compressor power input in kW. [VTU – ATD – July 2006]
Fig.Prob. 4.4.2 T-s diagram for ideal vap. compression cycle
EES Solution:
We will first write the data required as inputs for the above EES Procedure, and then
call that Procedure:
Data:
Fluid$ = ‘Ammonia’
T[1] = -15 “C…. evap. Temp.”
T[4] = 35 “C … condenser temp.”
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84. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
84
REFRIgERATION CYCLES
84
DELTAT_subcool = 0“C … subcooling”
DELTAT_superheat = 0 “C … superheat”
eta_comp = 1“…isentr. Effcy. of compressor”
CALL Vap_Comp_Refrign_cycle_actual(Fluid$,T[1],T[4],eta_comp,DELTAT_
subcool,DELTAT_superheat:w_comp_isentr,w_comp_act,q_L,q_cond,P[1],P[2],x[5],T[3],COP)
“Now, 1 ton is equivalent to 211 kJ/min. of refrigeration.
Therefore, 10 tons of refrigeration is equiv. to (10 * 211 / 60) kJ/s. And q_L i the refrig.
effect for a flow rate of 1 kg/s.
So, we have, for mass flow rate of refrigerant required:”
mass_flow = (10 * 211/60)/q_L “kg/s”
Power_input = mass_flow * w_comp_act “kW”
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85. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
85
REFRIgERATION CYCLES
Results:
Thus:
Mass flow rate of Ammonia = 0.03263 kg/s … Ans.
Compressor power = 8.373 kW … Ans.
COP = 4.2 … Ans.
Other results of Procedure:
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86. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
86
REFRIgERATION CYCLES
(b) Plot the variation of compressor work (kJ/kg), condenser heat transfer (kJ/kg)
and COP as the isentropic effcy. of compressor varies from 0.6 to 1:
First, compute the Parametric Table:
Now, plot the results:
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87. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
87
REFRIgERATION CYCLES
87
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88. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
88
REFRIgERATION CYCLES
=======================================================================
Prob. 4.4.3.A food storage chamber requires a refrigeration system of 10 T capacity with an
evaporator temp. of -10 C and condenser temp. of 30 C. The refrigerant R-12 is subcooled
by 5 deg. C before entering the throttle valve and the vapour is superheated by 6 deg.
C before entering the compressor. The specific heats of liquid and vapour are 1.235 and
0.7327 kJ/kg.K respectively. Determine: (i) The refrigerating capacity per kg (ii) Mass of
refrigerant circulated per minute, and (iii) COP. [VTU-ATD-Jan. 2003]
Fig.Prob. 4.4.3 T-s diagram for actual vap. compression cycle,
with subcooling and superheat
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90. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
90
REFRIgERATION CYCLES
90
Thus:
Mass flow rate of R-12 = 0.2764 kg/s … Ans.
Refrig. capacity = 127.2 kJ/kg … Ans.
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91. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
91
REFRIgERATION CYCLES
Compressor power = 6.134 kW .. Ans.
COP = 5.733 … Ans.
(b) Plot the variation of compressor work (kJ/kg), condenser heat transfer (kJ/kg)
and COP as the isentropic effcy. of compressor varies from 0.6 to 1:
First, compute the Parametric Table:
Now, plot the results:
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93. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
93
REFRIgERATION CYCLES
93
“Prob.4.4.4. A food storage chamber requires a refrigeration system of 5 kW capacity
with an evaporator temp. of -15 C and condenser temp. of 20 C. The refrigerant used is
R-12. Determine: (i) The refrigerating capacity per kg (ii) Mass of refrigerant circulated per
minute, and (iii) COP. [Ref:2]”
EES Solution:
The EES Procedure written above is quite versatile and powerful and useful, since we
can analyse an actual vapour compression cycle by varying various parameters such
as compressor efficiency, subcooling and superheat, and evaporator and condenser
temperatures, and the refrigerant.
In this problem, let us use the EES facility to input the variables from the Diagram Window:
First, write the EES program as usual, but later, after making entries in the Diagram window,
comment out the inlet parameters in the equation window, since we are going to input
them from the Diagram window. See below:
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94. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
94
REFRIgERATION CYCLES
“Data:”
{
T[1] = -15 [C]
T[4] = 20 [C]
DELTAT_subcool = 0“C”
DELTAT_superheat = 0“C”
eta_comp = 1
}
“Calculations:”
CALL Vap_Comp_Refrign_cycle_actual
(Fluid$,T[1],T[4],eta_comp,DELTAT_subcool,DELTAT_superheat:
w_comp_isentr,w_comp_act,q_L,q_cond,P[1],P[2],x[5],T[3],COP)
mass_flow = 5/q_L “kg/s … Mass flow rate for a refrign. capacity of 5 kW”
Power_input = mass_flow * w_comp_act “kW”
The procedure of having the input and calculations done from the diagram window
was explained in detail in Prob. 3.3.3.
In the diagram window, the the refrigerant desired (Fluid$) can also be changed with a
‘drop down’ menu. We have given the following options of refrigerants: Ammonia, R134a,
R12, R22, R13, R502, since they are commonly used. However, we can easily add more
from the list of refrigerants handled by EES, if required.
For the above case, after entering the inputs and clicking on ‘Calculate’ button, the results are:
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95. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
95
REFRIgERATION CYCLES
See the OUTPUTS above for results.
Also, from Results tab:
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96. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
96
REFRIgERATION CYCLES
96
And:
Thus:
Refrig. capacity per kg = 126.1 kJ/kg … Ans.
Mass flow rate of refrigerant = 0.03965 kg/s … Ans.
COP = 6.378 … Ans.
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97. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
97
REFRIgERATION CYCLES
(b) Plot the variation of compressor work, condenser heat transfer, COP and temp(T3)
at the exit of compressor after actual compression, as the compressor effcy. varies from
0.6 to 1:
First, compute the Parametric Table:
Now, plot the results:
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99. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
99
REFRIgERATION CYCLES
99
=======================================================================
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100. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
100
REFRIgERATION CYCLES
Reversed Brayton cycle refrigerator:
“Prob.4.4.5. Air enters the compressor of a Brayton cycle refrigerator at 7 C and 35 kPa, and
the turbine at 37 C and 160 kPa.Determine, per kg of air, (i) refrign. effect, (ii) net work
input, and (iii) the COP. Take the efficiencies of compressor and turbine as 80% and 85%.
(b) Plot these quantities as the both the efficiencies vary together from 70% to 100%.”
Fig.Prob. 4.4.5 T-s diagram for Brayton cycle refrigeration
EES Solution:
“Refer to the schematic diagram in diagram window:”
“Data:”
gamma = 1.4
cp = 1.005 “kJ/kg-C”
P1 = 35 “kPa”
T1 = 7 + 273 “k”
P2 = 160 “kPa”
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102. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
102
REFRIgERATION CYCLES
102
“Actual turbine work:”
w_turb_act = cp * (T4 – T6) “kJ/kg”
“Net work required:”
w_net = w_comp_act – w_turb_act “kJ/kg”
“Refrign. effect:”
q_in = cp * (T1 – T6) “kJ/kg”
“Coeff. of Performance:”
COP = q_in / w_net
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103. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
103
REFRIgERATION CYCLES
Results:
Thus:
Net work input = w_net = 98 kJ/kg … Ans.
Refrig. effect = q_in = 63.13 kJ/kg … Ans.
COP = 0.6442 …Ans.
(b) Plot these quantities as the both the efficiencies vary together from 70% to 100%:
First, compute the parametric Table:
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105. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
105
REFRIgERATION CYCLES
105
=======================================================================
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106. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
106
REFRIgERATION CYCLES
4.5 PROBLEMS SOLVED WITH TEST:
Prob.4.5.1 Refrigeration capacity of a R-12 vapour compression system is 300 kJ/min. The
refrigerant enters the compressor as sat. vapour at 140 kPa and is compressed to 800 kPa.
Enthalpy of vapour after compression is 215 kJ/kg. Show the cycle on T-s and P-h diagrams.
Determine: (i) quality of refrigerant after throttling, (ii) COP, and (iii) power input to
compressor. [VTU-ATD-Feb.2004]
Fig.Prob. 4.5.1. Vapour compression refrigeration system
Note: Actual T-s and P-h diagrams are shown later in the solution.
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107. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
107
REFRIgERATION CYCLES
TEST Solution:
Note: We shall assume the mass flow rate of refrigerant as 1 kg/s to start with, and calculate
refrig. effect, compressor work etc. Then, for a refrig. effect of 300 kJ/min, the flow rate
required can easily be calculated. Then, find out the compressor work for that flow rate.
Following are the steps:
1. Go to www.thermofluids.net, enter your e-mail ID and pass word, and get the
opening welcome screen. (It is assumed that you have already done the free
registration at this site). Click on the TESTcalc tab at the bottom of the window
to get the ‘TESTcalc Map’, shown below:
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108. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
108
REFRIgERATION CYCLES
108
Hovering the mouse pointer on ‘Vapor Compression and Gas Refrigeration Cycles’ gives
the following explanatory pop-up:
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109. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
109
REFRIgERATION CYCLES
2. Click on ‘Vapor Compression and Gas Refrigeration Cycles’, choose PC model for
‘material model’ as shown below:
3. Choose R-12 as working substance and fill up the known parameters for State 1,
i.e. P1, x1 and mdot1 = 1 kg/s. Hit Enter. We get:
Note that all parameters such as h1, T1, s1 etc are calculated.
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110. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
110
REFRIgERATION CYCLES
4. State 2: Enter P2, h2, and mdot2 = mdot1. Hit Enter. We get:
Here again, T2, s2 etc are calculated.
5. For State 3: Enter p3 = p2, x3 = 0, mdot3 = mdot1. Hit Enter. We get:
Note that h3, s3 etc are calculated.
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111. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
111
REFRIgERATION CYCLES
111
6. For State 4: Enter p4 = p1, h4 = h3, mdot4 = mdot1. Hit Enter. We get:
Note that h4, T4, s4, and x4 etc are calculated. Note that x4 = 0.317
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112. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
112
REFRIgERATION CYCLES
7. Now, go to Device panel. For Device A, fill up State 1 and State 2 for i1 state
and e1 state respectively. For i2 state and e2 states, fill up Null State as there is no
second stream of flow. And, Qdot = 0. Hit Enter. We get:
8. For Device B:fill up State 2 and State 3 for i1 state and e1 state respectively. For
i2 state and e2 states, fill up Null State as there is no second stream of flow. Also,
Wdot_ext = 0, since there is no external work in process 2-3. Hit Enter. We get:
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113. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
113
REFRIgERATION CYCLES
9. For Device C: fill up State 3 and State 4 for i1 state and e1 state respectively. For
i2 state and e2 states, fill up Null State as there is no second stream of flow. Also,
Qdot = 0, since there is no heat transfer in process 3-4. Hit Enter. We get:
10.For Device D: fill up State 4 and State 1 for i1 state and e1 state respectively. For
i2 state and e2 states, fill up Null State as there is no second stream of flow. Also,
Wdot_ext = 0, since there is no work transfer in process 4-1. Hit Enter. And click
on SuperCalculate.We get:
11.Now go to Cycle panel. All important cycle parameters are available here:
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114. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
114
REFRIgERATION CYCLES
114
Thus:
Refrign. effect = Qdot_in = h1-h4 = 110.566 kJ/kg, for a refrigerant mass flow rate of 1 kg/s
And, compressor power = Wdot_in = h2- h1 = 37.13 kW, for a refrigerant mass flow rate
of 1 kg/s
Therefore, mass flow rate of R-12 required for a refrign. effect of 300 kJ/min is:
Mass flow rate = (300/60)/(h1-h4) = 0.04522 kg/s … Ans.
And, compressor power = 0.04522*(h2-h1) = 1.679 kW.. Ans.
COP of refrigerator = COP_R = 2.98 … Ans.
Note that quality of refrigerant after throttling, x4 = 0.317 … Ans.
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115. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
115
REFRIgERATION CYCLES
12.From the Plots widget, first get the T-s plot, and then get h-s plot:
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116. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
116
REFRIgERATION CYCLES
13.The I/O panel gives the TEST code etc:
TEST-code: To save the solution, copy the codes generated below into a text file. To reproduce
the solution at a later time, launch the daemon (TESTcalc) (see path name below), paste
the saved TEST-code at the bottom of this I/O panel, and click the Load button.
# Daemon (TESTcalc) Path: SystemsOpenSteadyStateSpecificRefrigCycle
PC-Model; v-10.cd03
#--------------------StartofTEST-code-----------------------------------------------------------------------
States {
State-1: R-12;
Given: { p1= 140.0 kPa; x1= 1.0 fraction; Vel1= 0.0 m/s; z1= 0.0 m; mdot1=
1.0 kg/s; }
State-2: R-12;
Given: { p2= 800.0 kPa; h2= 215.0 kJ/kg; Vel2= 0.0 m/s; z2= 0.0 m; mdot2=
“mdot1” kg/s; }
State-3: R-12;
Given: { p3= “p2” kPa; x3= 0.0 fraction; Vel3= 0.0 m/s; z3= 0.0 m; mdot3= “mdot1”
kg/s; }
State-4: R-12;
Given: { p4= “p1” kPa; h4= “h3” kJ/kg; Vel4= 0.0 m/s; z4= 0.0 m; mdot4= “mdot1”
kg/s; }
}
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117. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
117
REFRIgERATION CYCLES
117
Analysis {
Device-A: i-State = State-1; e-State = State-2; Mixing: true;
Given: { Qdot= 0.0 kW; T_B= 25.0 deg-C; }
Device-B: i-State = State-2; e-State = State-3; Mixing: true;
Given: { Wdot_ext= 0.0 kW; T_B= 25.0 deg-C; }
Device-C: i-State = State-3; e-State = State-4; Mixing: true;
Given: { Qdot= 0.0 kW; T_B= 25.0 deg-C; }
Device-D: i-State = State-4; e-State = State-1; Mixing: true;
Given: { Wdot_ext= 0.0 kW; T_B= 25.0 deg-C; }
}
#----------------------EndofTEST-code----------------------------------------------------------------------
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118. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
118
REFRIgERATION CYCLES
#--------Property spreadsheet starts:
# State p(kPa) T(K) x v(m3/kg) u(kJ/kg) h(kJ/kg) s(kJ/kg.K)
# 01 140.0 251.2 1.0 0.117 161.52 177.87 0.71
# 02 800.0 325.3 0.0243 195.55 215.0 0.73
# 03 800.0 305.9 0.0 8.0E-4 66.68 67.3 0.249
# 04 140.0 251.2 0.3 0.0375 62.06 67.3 0.27
# Cycle Analysis Results:
# Calculated: T_max= 325.34625 K; T_min= 251.22281 K; Qdot_in= 110.56614 kW;
# Qdot_out= 147.69724 kW; Wdot_in= 37.13109 kW; Wdot_out= 0.0 kW;
# Qdot_net= -37.13109 kW; Wdot_net= -37.13109 kW; Sdot_gen,int= 0.12454 kW/K;
# COP_R= 2.97772 fraction; COP_HP= 3.97772 fraction; BWR= Infinity %;
#******CALCULATE VARIABLES: Type in an expression starting with an ‘=’ sign
(‘= mdot1*(h2-h1)’, ‘= sqrt(4*A1/PI)’, etc.) and press the Enter key)*********
##Refrign. effect:
h1-h4 = 110.5661392211914 kJ/kg
#mass flow rate for a refrign. capacity of 300 kJ/min:
(300/60)/(h1-h4) = 0.045221801495639875 kg/s
#compressor power:
0.04522*(h2-h1) = 1.6790678109741215 kW
=======================================================================
Prob.4.5.2. An ammonia vapour compression refrigeration plant operates between evaporator
pressure of 1.907 bar and condenser pressure of 15.57 bar. The vapour has a dryness
fraction of 0.8642 at entry to the compressor. Determine (i) COP, and (ii) refrigeration
effect produced for a work input of 1 kW. [VTU-ATD-July–Aug.2005]
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119. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
119
REFRIgERATION CYCLES
Fig.Prob. 4.5.2. Vapour compression refrigeration system
TEST Solution:
Note: We shall assume the mass flow rate of refrigerant as 1 kg/s to start with, and calculate
refrig. effect, compressor work etc. Then, for a compressor work of 1 kW, the flow rate
required can easily be calculated. Then, find out the refrigeration effect for that flow rate.
Following are the steps:
Steps 1 and 2 are the same as for previous problem. But, now the working fluid is Ammonia
(NH3).
3. Choose NH3 as working substance and fill up the known parameters for State 1,
i.e. P1, x1 and mdot1 = 1 kg/s. Hit Enter. We get:
Note that all parameters such as h1, T1, s1 etc are calculated.
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120. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
120
REFRIgERATION CYCLES
120
4. State 2: Enter P2, s2 = s1, and mdot2 = mdot1. Hit Enter. We get:
Here again, T2, h2 etc are calculated.
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121. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
121
REFRIgERATION CYCLES
5. For State 3: Enter p3 = p2, x3 = 0, mdot3 = mdot1. Hit Enter. We get:
Note that h3, s3 etc are calculated.
6. For State 4: Enter p4 = p1, h4 = h3, mdot4 = mdot1. Hit Enter. We get:
Note that h4, T4, s4, and x4 etc are calculated. Note that x4 = 0.2125
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122. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
122
REFRIgERATION CYCLES
7. Now, go to Device panel. For Device A, fill up State 1 and State 2 for i1 state
and e1 state respectively. For i2 state and e2 states, fill up Null State as there is no
second stream of flow. And, Qdot = 0. Hit Enter. We get:
8. For Device B: fill up State 2 and State 3 for i1 state and e1 state respectively. For
i2 state and e2 states, fill up Null State as there is no second stream of flow. Also,
Wdot_ext = 0, since there is no external work in process 2-3. Hit Enter. We get:
9. For Device C: fill up State 3 and State 4 for i1 state and e1 state respectively. For
i2 state and e2 states, fill up Null State as there is no second stream of flow. Also,
Qdot = 0, since there is no heat transfer in process 3-4. Hit Enter. We get:
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123. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
123
REFRIgERATION CYCLES
123
10.For Device D: fill up State 4 and State 1 for i1 state and e1 state respectively. For
i2 state and e2 states, fill up Null State as there is no second stream of flow. Also,
Wdot_ext = 0, since there is no work transfer in process 4-1. Hit Enter. And click
on SuperCalculate. We get:
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124. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
124
REFRIgERATION CYCLES
11.Now go to Cycle panel. All important cycle parameters are available here:
Thus:
Refrign. effect = Qdot_in = h1-h4 = 865.96 kJ/kg, for a refrigerant mass flow rate of 1 kg/s
And, compressor power = Wdot_in = h2- h1 = 245.34 kW, for a refrigerant mass flow rate
of 1 kg/s
Therefore, mass flow rate of NH3 required for a compressor power of 1 kW is:
Mass flow rate = 1/245.34277 = 0.0040759 kg/s… Ans.
And, actual refrig. effect for this flow rate = 0.0040759*(h1-h4)= 3.53 kW.. Ans.
COP of refrigerator = COP_R = 3.53 … Ans.
Note that quality of refrigerant after throttling, x4 = 0.2125 … Ans.
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125. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
125
REFRIgERATION CYCLES
12.From the Plots widget, first get the T-s plot, and then get h-s plot:
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126. APPLIED THERMODYNAMICS:
SOFTWARE SOLUTIONS: PART-III
126
REFRIgERATION CYCLES
126
13.The I/O panel gives the TEST code etc:
#~~~~~~~~~~~~~~~~~~~~~OUTPUT OF SUPER-CALCULATE
#
# Daemon (TESTcalc) Path: SystemsOpenSteadyStateSpecificRefrigCycle
PC-Model; v-10.cd03
#--------------------StartofTEST-code-----------------------------------------------------------------------
States {
State-1: Ammonia(NH3);
Given: { p1= 190.7 kPa; x1= 0.8642 fraction; Vel1= 0.0 m/s; z1= 0.0 m; mdot1=
1.0 kg/s; }
State-2: Ammonia(NH3);
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