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OPTIMAL DESIGN OF HYBRID ENERGY SYSTEM DRIVES SMALL-SCALE REVERSE OSMOSIS DESALINATION PLANT
Faculty
Engineering
Year:
2019
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Abdelfattah Mohamed Farahat
Staff Zu Site
Abstract In Staff Site
Journal:
zagazig veterinary journal Conscientia Beam
Volume:
Keywords :
OPTIMAL DESIGN , HYBRID ENERGY SYSTEM DRIVES
Abstract:
Different configurations for a hybrid energy system are presented. This study aims to produce 100 m3/day of freshwater for 120,000 people at Nakhl city, North Sinai, Egypt. This simulation selects the optimal design of the hybrid energy system according to the net present cost (NPC), the cost of energy (COE), the gases emissions (carbon dioxide, sulfur dioxide) and the excess system electricity. The hybrid system consists of photovoltaic panels, wind turbines, storage batteries, and a diesel generator. The operation of five different systems is studied to supply the load at an average rate of 557.22 kWh/day with 35.67 kW peak load. In order to minimize the system total cycle cost, both of the photovoltaic modules sizing, the wind turbine production, the number of battery strings and the diesel generator fuel consumption are studied. Homer Pro software is used to select the optimal system configuration. The results illustrate that the hybrid PV/diesel/RO desalination plant system with storage batteries is sustainable and socially accepted system. It consists of 83.5 kW PV panels, a 36.4 kW converter, seven strings of lead-acid batteries and a 50 kW fixed capacity generator. Also, the system achieves the lowest cost of energy and net present cost.
Author Related Publications
Mohammed Abdelfattah Mohamed Farahat, "A New Approach for Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", IEEE, 2010
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Mohammed Abdelfattah Mohamed Farahat, "Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", SAP journals, 2012
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Mohammed Abdelfattah Mohamed Farahat, "The Using of Curve Fitting Prediction Optimized by Genetic Algorithms for Short-Term Load Forecasting", Praise Worthy Prize, 2012
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Mohammed Abdelfattah Mohamed Farahat, "A New Artificial Neural Network Approach with Selected Inputs for Short Term Electric Load Forecasting", Praise Worthy Prize, 2008
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Mohammed Abdelfattah Mohamed Farahat, "Factors Affecting the Life Time of the Electric Joints", Cairo University, 2010
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Raef Seam Sayed Ahmed, "Model predictive control algorithm for fault ride-through of stand-alone microgrid inverter", Elsevier Ltd., 2021
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Enas Ahmed Mohamed Abdelhay, "Recent Maximum Power Point Tracking Methods for Wind Energy Conversion System", Elsevier, 2024
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Raef Seam Sayed Ahmed, "Optimal design and analysis of DC–DC converter with maximum power controller for stand-alone PV system", Elsevier Ltd., 2021
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Raef Seam Sayed Ahmed, "Parameters identification and optimization of photovoltaic panels under real conditions using Lambert W-function", Elsevier Ltd., 2021
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Mohammed Abdelhamied Abdelnaeem , "Artificial ecosystem-based optimiser to electrically characterise PV generating systems under various operating conditions reinforced by experimental validations", Wiley, 2021
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