Pdu project-presentation (1)
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1. A group of students proposed an energy saving system using sensors and a microcontroller for university libraries in Khyber Pakhtunkhwa, Pakistan to reduce electrical energy consumption. 2. The proposed energy saving system would detect if a study cabin is occupied and only turn on the lights, fan, and other appliances when someone is present to save energy. 3. Test results found the system could save 29-30% on electricity bills for the libraries by only powering cabins when in use.
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A Reliable Tool Based on the Fuzzy Logic Control Method Applying to the DC/DC...
Solar energy performs an important role in electric energy based on renewable energy generation systems when referring to
clear energy. Systems for harvesting renewable energy frequently use DC/DC converters, especially solar photovoltaic systems. The
DC/DC boost converter has been used for converting the output voltage from the solar PV system to the required voltage rating of the
utility grid under the disturbance in the photovoltaic temperature and irradiation level. Because of that, a new maximum power point
tracking based on the fuzzy logic controller (MPPT-FLC) algorithm applying the DC/DC boost converter is developed. The proposed
approach aims toward improving the PV system's performance and tracking effectiveness. This aim can be achieved by adjusting the
DC/DC boost converter's duty cycle to ensure that the PV system operates close to its MPP under varying environmental conditions. The
effectiveness of the proposed method is verified in the off-grid PV system under conditions of the change of irradiation and temperature,
and the comparison of between the proposed method, the incremental conductance (INC), perturb and observe (P&O), and modified P&O
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Bn044398401
Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Energy Management System in Microgrid with ANFIS Control Scheme using Heurist...
1. Premise: The document discusses an energy management system for a microgrid that uses an adaptive neuro-fuzzy inference system (ANFIS) control scheme.
2. Consequence: It is proposed that ANFIS control can efficiently manage power balancing in a microgrid system with renewable energy sources and an energy storage system. The ANFIS control scheme is simulated in MATLAB/Simulink to validate its effectiveness in mitigating power fluctuations during varying loads.
3. Resolution: The results of the simulation demonstrate that the proposed ANFIS control scheme can function as both an energy management system and battery management system for a microgrid system with renewable energy sources.
A cost-effective and optimized maximum powerpoint tracking system for the pho...
Solar energy is naturally available from sun, and it can be extracted by using a photovoltaic (PV) cell. However, solar energy extraction entirely depends on the climatic conditions and angle of rays falling on PV cells. Hence, maximum powerpoint tracking (MPPT) is considered in most areas under variable climatic conditions, which acts as a controller unit for PV cells. MPPT can enhance the efficiency of PV cells. However, designing an MPPT model is challenging as different uncertainties in the climatic condition may lead to more fluctuations in voltage and current in PV cells. Under the shaded condition, the PV cell may have other MPPT points that lead to the PV cell’s low efficiency in analyzing maximum power. Hence, this paper introduces a cost-effective and optimized system for the PV model that can find optimal power and improve PV cells’ efficiency. The proposed system achieves better computational performance with ~35% and ~42% than existing MPPT techniques. The improved particle swarm optimization (PSO) is smoother due to the enhanced form of MPP tracking. Hence, improved PSO takes 0.038 sec while the existing PSO technique takes 0.045 sec to obtain the MPP tracking.
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This document is a thesis that discusses the design and implementation of a solar charge controller IC using Cadence. It contains 6 chapters that cover an introduction, overview of solar photovoltaics, overview of solar charge controllers, challenges of implementing a solar charge controller in Cadence, Cadence implementation, and conclusions. The objective is to replace microcontrollers in commercial solar charge controllers with an analog design using transistors and MOSFETs implemented on a single IC in Cadence to reduce costs and space. The design is simulated in Proteus initially and then implemented in Cadence Virtuoso for schematic and layout design.
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- 2. ELECTRICAL ENERGY SAVING AND MANAGEMENT INITIATIVES: A CASE STUDY OF UNIVERSITY LIBRARIES IN KPK, PAKISTAN Project Title
- 3. Group Members 1. Qaiser Jawed (uw-14-ee-bsc-001) 2. M. Abu-Bakar (uw-14-ee-bsc-006) 3. Sarmad Iqbal (uw-14-ee-bsc-016) 4. Zunair Ali (uw-14-ee-bsc-027) 5. H. M. Sohaib Saleem (uw-14-ee-bsc-037)
- 4. Abstract Reduce electrical energy consumption in academic institutions.
- 5. Introduction Use of sensors and microcontroller proposed energy saving system (PESS) proper power management system (PMS)
- 6. Proposed Work 1. Chair in the cabin is free 2. Chair in the cabin is not free
- 7. System Hardware Description PMS (Power Management System) proposed energy saving system (PESS) Sensors Microcontroller
- 9. Control System for Lighting and Ceiling Fan For light LDR is used For Ceiling Fan LM-35 used
- 10. Student Detection System The Ultra-Fire remote pressure switch is used as a sensor.
- 11. Results and Discussions UET library’s contains 22 cabins while Hazara University library’s has 32 cabins. when there is no one inside the cabin, the energy consumption per hour in this case is calculated as 22×4=88Wh. When the cabin is occupied, the energy consumption of cabin is 128Wh
- 12. Cost Analysis When electricity price is 32Rs/unit, the bill in UET library is Rs147680, but when using PESS it is Rs87840 UET save 29.34% of total bill. In Hazara University it is Rs247200 and by using PESS it is Rs149760. Hazara save 29.70% of total bill.
- 13. Conclusion The paper presented the energy saving strategy in libraries using the power electronics converters and microcontroller. From the results, it is concluded that the proposed energy saving system is cost effective.