This document describes a Microsoft Excel-based analytical tool developed by Mafraha Jahan to assess the energy performance of educational buildings. The tool has two sections: an initial assessment screen for administrative personnel and detailed analysis tabs for facility/engineering personnel. It has 17 tabs for billing information, temperature profiles, HVAC details, and analyzing 12 potential energy performance measures. The tool helps prioritize energy usage sectors, propose measures, and calculate annual energy/cost savings and paybacks to identify the most economical measures.
Design and Implementation of High Resolution Data Acquisition Systemijsrd.com
Fuel cell stacks containing hundreds of individual cells are capable of generating high voltage and current values needed for transportation, commercial, residential, portable and industrial power applications. Although majority of hydrogen produced today comes from reformulated natural gas generated through a process that creates a significant amount of carbon dioxide, fuel cell is still a viable energy source for the future electrical power applications. One of the hard cases of the fuel-cell power systems is proper monitoring, instrumentation and data acquisition of system parameters such as fuel flow into the system, AC and DC voltage values, load current, humidity, power, pressure, temperature, fuel utilization, overall system efficiency, noise, etc. Fuel cell test systems must precisely monitor and control the aforementioned hundreds of measurements in real-time. It is necessary to have an instrumentation system which is able to monitor and control fuel cell operation under varying conditions and accurately get information relating to real-time performance and operational characteristics to calculate fuel cell efficiency correctly. Instrumentation and interface systems must also provide flexible data acquisition, monitoring, and control capability to precisely control fuel cell operation. Therefore, a typical fuel cell test system requires high-resolution, high-voltage input, isolation, and waveform acquisition capability. The objective of this applied research project is design and implementation of a high-resolution data acquisition and interface module for a 500 W Hydrogen fuel cell power station using LabVIEW ™ PDS v8.20 software and field point based data acquisition modules.
As the only provider that delivers True Optimization™, Optimum Energy reduces operational expenses by as much as 50%. Optimum achieves this by reducing energy and maintenance costs, while increasing the productivity of corporate facility support personnel. Optimum's patented solutions enable Real-Time Dynamic Commissioning™, which fights performance drift and enables automated, continuous commissioning through dynamic adaptation of the entire cooling system.
Parallel distribution compensation PID based on Takagi-Sugeno fuzzy model app...IJECEIAES
This paper presents a new technique for a Takagi-Sugeno (TS) fuzzy parallels distribution compensation-PID'S (TSF-PDC-PID'S) to improve the performance of egyptian load frequency control (ELFC). In this technique, the inputs to a TS fuzzy model are the parameters of the change of operating points. The TS fuzzy model can definite the suitable PID control for a certain operating point. The parameters of PID'S controllers are obtained by ant colony optimization (ACO) technique in each operating point based on an effective cost function. The system controlled by the proposed TSF-PDCPID’S is investigated under different types of disturbances, uncertainty and parameters variations. The simulation results ensure that the TSF-PDC-PID'S can update the suitable PID controller at several operating points so, it has a good dynamic response under many types of disturbances compared to fixed optimal PID controller.
Design and Implementation of High Resolution Data Acquisition Systemijsrd.com
Fuel cell stacks containing hundreds of individual cells are capable of generating high voltage and current values needed for transportation, commercial, residential, portable and industrial power applications. Although majority of hydrogen produced today comes from reformulated natural gas generated through a process that creates a significant amount of carbon dioxide, fuel cell is still a viable energy source for the future electrical power applications. One of the hard cases of the fuel-cell power systems is proper monitoring, instrumentation and data acquisition of system parameters such as fuel flow into the system, AC and DC voltage values, load current, humidity, power, pressure, temperature, fuel utilization, overall system efficiency, noise, etc. Fuel cell test systems must precisely monitor and control the aforementioned hundreds of measurements in real-time. It is necessary to have an instrumentation system which is able to monitor and control fuel cell operation under varying conditions and accurately get information relating to real-time performance and operational characteristics to calculate fuel cell efficiency correctly. Instrumentation and interface systems must also provide flexible data acquisition, monitoring, and control capability to precisely control fuel cell operation. Therefore, a typical fuel cell test system requires high-resolution, high-voltage input, isolation, and waveform acquisition capability. The objective of this applied research project is design and implementation of a high-resolution data acquisition and interface module for a 500 W Hydrogen fuel cell power station using LabVIEW ™ PDS v8.20 software and field point based data acquisition modules.
As the only provider that delivers True Optimization™, Optimum Energy reduces operational expenses by as much as 50%. Optimum achieves this by reducing energy and maintenance costs, while increasing the productivity of corporate facility support personnel. Optimum's patented solutions enable Real-Time Dynamic Commissioning™, which fights performance drift and enables automated, continuous commissioning through dynamic adaptation of the entire cooling system.
Parallel distribution compensation PID based on Takagi-Sugeno fuzzy model app...IJECEIAES
This paper presents a new technique for a Takagi-Sugeno (TS) fuzzy parallels distribution compensation-PID'S (TSF-PDC-PID'S) to improve the performance of egyptian load frequency control (ELFC). In this technique, the inputs to a TS fuzzy model are the parameters of the change of operating points. The TS fuzzy model can definite the suitable PID control for a certain operating point. The parameters of PID'S controllers are obtained by ant colony optimization (ACO) technique in each operating point based on an effective cost function. The system controlled by the proposed TSF-PDCPID’S is investigated under different types of disturbances, uncertainty and parameters variations. The simulation results ensure that the TSF-PDC-PID'S can update the suitable PID controller at several operating points so, it has a good dynamic response under many types of disturbances compared to fixed optimal PID controller.
A transition from manual to Intelligent Automated power system operation -A I...IJECEIAES
This paper reviews the transition of the power system operation from the traditional manual mode of power system operations to the level where automation using Internet of Things (IOT) and intelligence using Artificial Intelligence (AI) is implemented. To make the review paper brief only indicative papers are chosen to cover multiple power system operation based implementation. Care is taken there is lesser repeatation of similar technology or application be reviewed. The indicative review is to take only a representative literature to bypass scrutinizing multiple literatures with similar objectives and methods. A brief review of the slow transition from the traditional to the intelligent automated way of carrying out power system operations like the energy audit, load forecasting, fault detection, power quality control, smart grid technology, islanding detection, energy management etc is discussed .The Mechanical Engineering Perspective on the basis of applications would be noticed in the paper although the energy management and power delivery concepts are electrical.
Hybrid fuzzy-PID like optimal control to reduce energy consumptionTELKOMNIKA JOURNAL
The electric motor is one of the appliances that consume considerable energy. Therefore, the control method which can reduce energy consumption with better performance is needed. The purpose of this research is to minimize the energy consumption of the DC motor with maintaining the performance using Hybrid Fuzzy-PID. The input of the Fuzzy system is the error and power of the system. Where error is correlated with matric Q and power is correlated with matric R. Therefore, adjusting the fuzzy rule on error and power is like adjust matrices Q and R in LQR method. The proposed algorithm can reduce energy consumption. However, system response is slightly decrease shown from ISE (Integral Square Error). The energy reduction average is up to 5.58% while the average of ISE increment is up to 1.89%. The more speed variation in the system, the more energy can be saved by the proposed algorithm. While in terms of settling time, the proposed algorithm has the longest time due to higher computation time in the fuzzy system. This performance can be increased by tuning fuzzy rules. This algorithm offers a solution for a complex system which difficult to be modeled.
PI and LQR controllers for Frequency Regulation including Wind GenerationIJECEIAES
The increasing use of renewable technologies such as wind turbines in power systems may require the contribution of these new sources into grid ancillary services, such as Load Frequency Control. Hence, this work dealt with the performance comparison of two traditional control structures, PI and LQR, for secondary regulation of Load Frequency Control with the participation of variable-speed wind turbines. For this purpose, the doubly-fed induction generator wind turbine was modeled with additional control loops for emulation of the inertial response of conventional machines for frequency regulation tasks. Performance of proposed strategies was verified through simulation in a benchmark adapted from the WSCC 3 machines 9-bus test system. Results showed overall superior performance for LQR controller, although requiring more strenuous control effort from conventional units than PI control.
Efficiency of bond graph and external model integration for alarm processing ...IJAAS Team
The design of a supervision system based on the external model by structuring the industrial process according to several modes of operation (degraded and normal). The disadvantage of this model is that it describes the industrial process components as functions regardless of their dynamics without going into detail. Hence the interest of the bond graph model to fill the external model limits. The performance of the proposed supervisory system using both models lies in the detection and location of faults for each mode of operation. The bond graph model enriched by the concept of causality and thanks to these structural properties can clearly display the elements of the physical system taking into account their dynamics in normal and abnormal operation. The results of our research have been applied to central air conditioning system; the development of the proposed project has proceeded from the modeling stage to the reconfiguration stage of the system.
We are a young company promoted by IIT Alumni. We provide services which helps individuals and organizations to take the "Green Route" for cleaner future. Our services includes Energy Audit, EPCM for Renewable energy (Solar & Bio-mass) Projects, Technology Evaluation (Research & Analysis) and carbon management services(footprint, mitigation and branding)
A transition from manual to Intelligent Automated power system operation -A I...IJECEIAES
This paper reviews the transition of the power system operation from the traditional manual mode of power system operations to the level where automation using Internet of Things (IOT) and intelligence using Artificial Intelligence (AI) is implemented. To make the review paper brief only indicative papers are chosen to cover multiple power system operation based implementation. Care is taken there is lesser repeatation of similar technology or application be reviewed. The indicative review is to take only a representative literature to bypass scrutinizing multiple literatures with similar objectives and methods. A brief review of the slow transition from the traditional to the intelligent automated way of carrying out power system operations like the energy audit, load forecasting, fault detection, power quality control, smart grid technology, islanding detection, energy management etc is discussed .The Mechanical Engineering Perspective on the basis of applications would be noticed in the paper although the energy management and power delivery concepts are electrical.
Hybrid fuzzy-PID like optimal control to reduce energy consumptionTELKOMNIKA JOURNAL
The electric motor is one of the appliances that consume considerable energy. Therefore, the control method which can reduce energy consumption with better performance is needed. The purpose of this research is to minimize the energy consumption of the DC motor with maintaining the performance using Hybrid Fuzzy-PID. The input of the Fuzzy system is the error and power of the system. Where error is correlated with matric Q and power is correlated with matric R. Therefore, adjusting the fuzzy rule on error and power is like adjust matrices Q and R in LQR method. The proposed algorithm can reduce energy consumption. However, system response is slightly decrease shown from ISE (Integral Square Error). The energy reduction average is up to 5.58% while the average of ISE increment is up to 1.89%. The more speed variation in the system, the more energy can be saved by the proposed algorithm. While in terms of settling time, the proposed algorithm has the longest time due to higher computation time in the fuzzy system. This performance can be increased by tuning fuzzy rules. This algorithm offers a solution for a complex system which difficult to be modeled.
PI and LQR controllers for Frequency Regulation including Wind GenerationIJECEIAES
The increasing use of renewable technologies such as wind turbines in power systems may require the contribution of these new sources into grid ancillary services, such as Load Frequency Control. Hence, this work dealt with the performance comparison of two traditional control structures, PI and LQR, for secondary regulation of Load Frequency Control with the participation of variable-speed wind turbines. For this purpose, the doubly-fed induction generator wind turbine was modeled with additional control loops for emulation of the inertial response of conventional machines for frequency regulation tasks. Performance of proposed strategies was verified through simulation in a benchmark adapted from the WSCC 3 machines 9-bus test system. Results showed overall superior performance for LQR controller, although requiring more strenuous control effort from conventional units than PI control.
Efficiency of bond graph and external model integration for alarm processing ...IJAAS Team
The design of a supervision system based on the external model by structuring the industrial process according to several modes of operation (degraded and normal). The disadvantage of this model is that it describes the industrial process components as functions regardless of their dynamics without going into detail. Hence the interest of the bond graph model to fill the external model limits. The performance of the proposed supervisory system using both models lies in the detection and location of faults for each mode of operation. The bond graph model enriched by the concept of causality and thanks to these structural properties can clearly display the elements of the physical system taking into account their dynamics in normal and abnormal operation. The results of our research have been applied to central air conditioning system; the development of the proposed project has proceeded from the modeling stage to the reconfiguration stage of the system.
We are a young company promoted by IIT Alumni. We provide services which helps individuals and organizations to take the "Green Route" for cleaner future. Our services includes Energy Audit, EPCM for Renewable energy (Solar & Bio-mass) Projects, Technology Evaluation (Research & Analysis) and carbon management services(footprint, mitigation and branding)
life cycle cost analysis of a solar energy based hybrid power systemINFOGAIN PUBLICATION
The importance of life-cycle cost analysis of an integrated solar power system is explained in this paper. To analyze the energy power and cash flow computations, there exist many commercial types of energy audit softwares like Emat, Optimizer, Homer, Energy gauge, Treat and so on. Among the aforementioned audit softwares, homer software is selected since it consists of several built-in options to perform audit studies. Homer software basically utilizes the concept of finding the total net present cost to represent the life-cycle cost of the total system. This software is vividly used for obtaining the optimized energy audit solutions to integrate several equipments embedding into a single workable system.
DYNAMIC TASK SCHEDULING ON MULTICORE AUTOMOTIVE ECUSVLSICS Design
Automobile manufacturers are controlled by stringent govt. regulations for safety and fuel emissions and
motivated towards adding more advanced features and sophisticated applications to the existing electronic
system. Ever increasing customer’s demands for high level of comfort also necessitate providing even more
sophistication in vehicle electronics system. All these, directly make the vehicle software system more
complex and computationally more intensive. In turn, this demands very high computational capability of
the microprocessor used in electronic control unit (ECU). In this regard, multicore processors have
already been implemented in some of the task rigorous ECUs like, power train, image processing and
infotainment. To achieve greater performance from these multicore processors, parallelized ECU software
needs to be efficiently scheduled by the underlaying operating system for execution to utilize all the
computational cores to the maximum extent possible and meet the real time constraint. In this paper, we
propose a dynamic task scheduler for multicore engine control ECU that provides maximum CPU
utilization, minimized preemption overhead, minimum average waiting time and all the tasks meet their
real time deadlines while compared to the static priority scheduling suggested by Automotive Open Systems
Architecture (AUTOSAR).
Dynamic task scheduling on multicore automotive ec usVLSICS Design
Automobile manufacturers are controlled by stringent govt. regulations for safety and fuel emissions and
motivated towards adding more advanced features and sophisticated applications to the existing electronic
system. Ever increasing customer’s demands for high level of comfort also necessitate providing even more
sophistication in vehicle electronics system. All these, directly make the vehicle software system more
complex and computationally more intensive. In turn, this demands very high computational capability of
the microprocessor used in electronic control unit (ECU). In this regard, multicore processors have
already been implemented in some of the task rigorous ECUs like, power train, image processing and
infotainment. To achieve greater performance from these multicore processors, parallelized ECU software
needs to be efficiently scheduled by the underlaying operating system for execution to utilize all the
computational cores to the maximum extent possible and meet the real time constraint. In this paper, we
propose a dynamic task scheduler for multicore engine control ECU that provides maximum CPU
utilization, minimized preemption overhead, minimum average waiting time and all the tasks meet their
real time deadlines while compared to the static priority scheduling suggested by Automotive Open Systems
Architecture (AUTOSAR).
DYNAMIC TASK SCHEDULING ON MULTICORE AUTOMOTIVE ECUSVLSICS Design
Automobile manufacturers are controlled by stringent govt. regulations for safety and fuel emissions and motivated towards adding more advanced features and sophisticated applications to the existing electronic system. Ever increasing customer’s demands for high level of comfort also necessitate providing even more
sophistication in vehicle electronics system. All these, directly make the vehicle software system more complex and computationally more intensive. In turn, this demands very high computational capability of the microprocessor used in electronic control unit (ECU). In this regard, multicore processors have already been implemented in some of the task rigorous ECUs like, power train, image processing and infotainment. To achieve greater performance from these multicore processors, parallelized ECU software needs to be efficiently scheduled by the underlaying operating system for execution to utilize all the computational cores to the maximum extent possible and meet the real time constraint. In this paper, we propose a dynamic task scheduler for multicore engine control ECU that provides maximum CPU
utilization, minimized preemption overhead, minimum average waiting time and all the tasks meet their real time deadlines while compared to the static priority scheduling suggested by Automotive Open Systems Architecture (AUTOSAR).
A METHODOLOGY FOR IMPROVEMENT OF ROBA MULTIPLIER FOR ELECTRONIC APPLICATIONSVLSICS Design
In this paper, propose an approximate multiplier that is high speed yet energy efficient. The approach is to
around the operands to the closest exponent of 2. This way the machine intensive a part of the
multiplication is omitted up speed and energy consumption. The potency of the planned multiplier factor is
evaluated by comparing its performance with those of some approximate and correct multipliers using
different design parameters. In this proposed approach combined the conventional RoBA multiplier with
Kogge-stone parallel prefix adder. The results revealed that, in most (all) cases, the newly designed RoBA
multiplier architectures outperformed the corresponding approximate (exact) multipliers. Thus improved
the parameters of RoBA multiplier which can be used in the voice or image smoothing applications in the
DSP.
A METHODOLOGY FOR IMPROVEMENT OF ROBA MULTIPLIER FOR ELECTRONIC APPLICATIONSVLSICS Design
In this paper, propose an approximate multiplier that is high speed yet energy efficient. The approach is to around the operands to the closest exponent of 2. This way the machine intensive a part of the multiplication is omitted up speed and energy consumption. The potency of the planned multiplier factor is evaluated by comparing its performance with those of some approximate and correct multipliers using different design parameters. In this proposed approach combined the conventional RoBA multiplier with Kogge-stone parallel prefix adder. The results revealed that, in most (all) cases, the newly designed RoBA multiplier architectures outperformed the corresponding approximate (exact) multipliers. Thus improved the parameters of RoBA multiplier which can be used in the voice or image smoothing applications in the DSP.
2. Fig 1: Analytic Sequence
PROBLEM STATEMENT
The analysis of Energy Performance Measures (EPMs) performed by
the facility or engineering personnel of an educational building can be
complex and requires significant time and detailed effort. The
assessment performed by them when compared with the other options
in an educational organization, may often reach to bottom priority
level. To get passed over this situation a Microsoft Excel based quick
and easy to use analytical tool is developed which is initially intended
for the assessment of administrative personnel and then again it is
extended into detail analysis for the facility or engineering personnel.
SUMMERY
Microsoft Excel based Analytical Tool is divided into two
sections as follows: i) Initial assessment screen for
administrative personnel and ii) Detail analysis tabs for facility
or engineering personnel. This tool has 17 different tabs: initial
assessment screen, billing information tab, monthly
temperature profile tab, Heating, Ventilation and Air
Conditioning (HVAC) information tab, Energy Performance
Measures tabs (EPMs): EPM-1, EPM-2, EPM-3, EPM-4,
EPM-5, EPM-6, EPM-7, EPM-8, EPM-9, EPM-10, EPM-11,
EPM-12, and economical analysis tab.
THE OUTCOME
1. Energy usage sectors are prioritized and ranked based
upon potential savings and building existing condition.
2. Energy performance Measures (EPMs) are proposed for 7
energy usage sectors: heating, cooling, ventilation, water
heating, lighting, office equipment and miscellaneous.
Master’s Thesis
Options to Improve Energy Efficiency for Educational Building
Fig 3: Cost comparison Between different IEC System
Fig 2: Initial Assessment Screen
Fig 3: Final Priority Ranking
3. THE OUTCOME
3. Again possible primary recommendations are given for each
proposed Energy Performance Measures (EPMs).
4. Annual energy savings, cost savings and payback periods are
calculated from each proposed EPMs.
5. A complete economical analysis is done by the tool comparing the
annual energy savings, cost savings and payback period among the
proposed EPMs.
THE ACHIEVEMENTS
1. Excel Programming and Excel spreadsheet development
2. Energy audits, identification of potential energy
savings opportunities
3. Lifecycle analysis energy conservation projects.
4. Inspection and analysis of HVAC systems.
5. Understanding of mechanical and electrical plans
and specifications to evaluate energy efficiency
measures
.
MS Thesis Software: Excel Based Analytical Tool
Analyti;a
Fig 5: Methodology
Figure 6: Economical Analysis Tab
Figure 4: Economical Analysis Tab
4. PROBLEM STATEMENT
Automatic controls play an ever increasing role in a human life.
The distinct characteristic of automatic control is that it reduces the
human operator. One such gadget is the fan. Fans are generally
available with speed control; depending on the requirement the
speed is set. Usually, when the temperature is low/high the fan is
operated with lower/higher speed. This is done manually using
human. In this project an automatic control solution is suggested to
control the fan speed based upon the surrounding temperature.
THE PROJECT
1. A temperature sensor (LM35) senses the room
temperature and gives the analog input. 2.
2. The analog input is converted through the ADC to
digital output by PIC16F8777A. This digital value
displayed on LCD.
3. PWM module generates the pulse in which the pulse
width varies according to the AD converter output.
4. The generated pulse acts as the input to transistor
BD135. Finally the variable output voltage is used to
operate the fan.
THE OUTCOME
1. Developed an automatic fan system that can change the
speed level due to the environmental temperature change.
2. Generated feedback with the help of LED indicator in
order to display the change of the speed of the fan.
3. 3. Additionally, this automatic fan system was able to
preview the status of the temperature level by using
(LCD)
Temperature Sensor Driven Automatic DC Motor Based Fan
Speed Controlling System by Microcontroller
Fig 1: Methodology
Fig 2: Breadboard set up
Fig 3: Simulation in Proteus 7.7
5. Programming a SCARA Robot for a Manufacturing Cell to
Assemble & Produce Medical Devices
PROBLEM STATEMENT
A single cell manufacturing machine setup using TMB 100 SCARA
Robot can be programmed according to requirements to perform
certain processing functions. How a robot operation for making a
single manufacturing cell can be made faster using an efficient
algorithm is described. The Primary target of this project is to glue
three parts together to produce a small medical device with limited
human intervention.
THE PROJECT
There is three different trajectory actions required.
1. First operation is to glue two parts second operation is
the glue drying time of the first two parts.
2. Third operation is to glue the third part with the dried
two parts. A buffer part is created and get ready for the
third operation by utilizing glue drying time.
3. Then again it performs 1st and third operation
sequentially.
In this way the process is maximizing its throughput and
minimizing the production cycle time.
THE OUTCOME
For multiple part-type operation in this single-machine cell,
an efficient algorithm was provided that simultaneously
optimizes the robot movement and part sequencing
operation. The proposed enhanced sequence is three time
faster than the traditional sequence.
Fig 1: Three different parts and First Operation
Fig 2: 2nd
and 3rd
Operation
Fig 3: Output Result
6. ENERGY AUDIT & RECOMMENDTION of ENERGY
CONSERVASION OPPORTUNITIES FOR A CAMPUS BUILDING
PROBLEM STATEMENT
To assess how much energy is consumed by a typical Campus
Office building and to propose potential energy conservation
measures that can be implemented to save energy to make the
building more energy efficient, reduce utility bill and carbon di
oxide emission. Energy audit was performed for an office
building of the university campus.
THE PROJECT
1. Analysis performed on building’s envelop,
architecture, orientation, HVAC, lighting, office
equipment.
2. Indentified potential Energy Conservation
Opportunities building and performed energy
cost savings calculation from each
recommendation.
3. A software known as MathCAD (Building Thermal
Analysis) was used to model the building to obtain the
heating load and cooling load of the building and
eQUEST was also used to compare both result.
THE OUTCOME
Energy Audit and Building energy analysis & simulation
Fig 1:
Fig 2:
Fig 1: Lawshe Building, Purdue University Northwest
Fig 2: Interior of the Building
Fig 3: Analysis on eQUEST
7. Fig 1: Scaled Drawing
PROBLEM STATEMENT
A conveyor of certain length needs to move some containers (box)
of specific sizes. They are at a certain distance from each other. And
they have to make a hard stop for labeling. Weight and length of the
conveyor belt and diameter of the sprockets are given. Overall servo
motor system is designed and modeled with accurate positioning for
labeling machine interface and analyzed the overall model using
LabVIEW.
THE PROJECT
1. Derived the transfer function, design calculation and
make the servomotor sizing calculation and overall
servo system.
2. Inertia on the load side is calculated.
3. Inertia, torque and power reflected on the motor side
are calculated.
4. Simulation of the transfer function using formula
node in LABVIEW using ‘control and simulation
loop also in LABVIEW.
5. Step response of the servomotor
.THE OUTCOME
Based upon the size of container and conveyor servomotor
system can be designed and modeled.
High Speed Container Transport System with Accurate
Positioning for Labeling Machine Interface
Analyti;a
Fig 2: Control Loop Using LabVIEW
Fig 3: Simulation Loop Using LabVIEW
8. Fig 1: Program in Studio 5000
PROBLEM STATEMENT
Allen-Bradley HMI Design and Link with Studio 5000 and RSLogix
Emulator in Factory Talk View Design Environment
THE PROJECT
Simulation in RSLogix Emulate 5000 Chassis Monitor
Configured drives with RSLinx
Configuration with FactoryTalk Directory Wizard
Created the Program with Studio 5000 and downloading
the program in emulator.
Making a HMI Screen and Linking with RSLogix
Program Tags
.
THE OUTCOME
Designed a HMI Screen with Factory Talk View
Machine Edition Software.
Programmed HMI buttons in order to perform according
to logic program file through RS linking.
Designed Animation with Factory Talk View Software
Industrial Automation Hands On
HMI Design Using Factory Talkview (ME Edition)
Analyti;a
Fig 2: HMI Screen
9. Designing a Grid-Tie Solar Photovoltaic System with Battery
Backup for Fitness & Recreation Center (FRC)
oPurduUniversity CalumetPROBLEM STATEMENT
To examine the feasibility of Grid Tie Solar Photovoltaic System
with battery backup systems by considering how such a system
might be designed and sized for Fitness and Recreation Center
(FRC) of Purdue University Northwest maintaining the same level of
power reliability and availability. The design approach and
economic analysis of such system is also analyzed in order to
optimize the energy value and reduce the energy bill as well as to
reduce environmental pollution.
THE PROJECT
1. Detailed Inspection to the location of FRC Building
2. Collecting geographical and weather data, on site
situation, load condition and user requirement for FRC
Building.
3. Developed design approach for a grid tie solar PV
system with battery backup for FRC Building
4. Proposed PV Panel and Battery Sizing
5. Determined load calculation, annual savings and
payback period
6. Energy Model, Cost, Emission, Financial, Risk
Analysis with RETScreen
.
THE OUTCOME
It was found that such a system would be viable, but would
be relatively expensive. It would also require a substantial
amount of space. With the continuing decline in solar and
storage prices, it the system will be economically feasible.
However, annual savings and payback period and also Green
house gas emission reduction was calculated using
RETScreen Analysis tool.
Fig 2:
Fig 1: FRC, Purdue University Northwest
Fig 3: Analysis on RETScreen
10. Ladder Logic Programming in RSLogix 5000, 500 &
LogixPro
PROBLEM STATEMENT
Learning PLC Ladder logic programming
THE PROJECT
Performed several Fundamentals of ladder logic
programming in LogixPro 500 Using graphical simulation
process equipment such as conveyors, bottling plants, etc. in
software, the synchronous and interactive nature of real
industrial processes, which has ProSim-II programmable
process simulations with a PLC Editor/Emulator which
mimics Allen-Bradley's (Rockwell) RSLogix 500
THE OUTCOME
1. Simple start/stop ladder logic relay
2. Single push button on/off ladder logic
3. Ladder logic program with timer and counter
Fig 2: Garage door simulation with Logix Pro
Fig 1: Ladder logic with timer
Fig 3: Ladder logic with timer & counter