{"title":"混合需求负荷下电力/绿色制氢系统的最优技术经济规模","authors":"A. Elnozahy, M. Sayed, Alaa. F. M. Ali, M. Nayel","doi":"10.1109/MEPCON55441.2022.10021775","DOIUrl":null,"url":null,"abstract":"In paper studies a system based on renewable energy sources (RES) for supplying hybrid electrical and thermal load demand to an isolated house in Egypt. The proposed electrical/green hydrogen generation (EGHG) system is mainly fed by a photovoltaic (PV) system, batteries, and a hydrogen system unit that includes an electrolyzer, hydrogen tank, and fuel cell (FC). In this study, to assess the efficacy of the hybrid generating system, factors such as the Levelized cost of energy (COE), the net present cost (NPC), and the capability of the hybrid scheme to fulfill the load under diverse climatic circumstances were taken into consideration. The optimal size of the system is determined via the optimization approach, which is based on the particle swarm algorithm (PSO). The results show that the COE for the EGHG system is about 1.2 $/ kWh, which is competitive with conventional energy sources. Moreover, the optimal sizing of the EGHG system shows a satisfaction both the electrical and thermal demands without violating any constraints.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Techno-economic Sizing of Electrical/Green Hydrogen Generation System for Hybrid Demand Load\",\"authors\":\"A. Elnozahy, M. Sayed, Alaa. F. M. Ali, M. Nayel\",\"doi\":\"10.1109/MEPCON55441.2022.10021775\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In paper studies a system based on renewable energy sources (RES) for supplying hybrid electrical and thermal load demand to an isolated house in Egypt. The proposed electrical/green hydrogen generation (EGHG) system is mainly fed by a photovoltaic (PV) system, batteries, and a hydrogen system unit that includes an electrolyzer, hydrogen tank, and fuel cell (FC). In this study, to assess the efficacy of the hybrid generating system, factors such as the Levelized cost of energy (COE), the net present cost (NPC), and the capability of the hybrid scheme to fulfill the load under diverse climatic circumstances were taken into consideration. The optimal size of the system is determined via the optimization approach, which is based on the particle swarm algorithm (PSO). The results show that the COE for the EGHG system is about 1.2 $/ kWh, which is competitive with conventional energy sources. Moreover, the optimal sizing of the EGHG system shows a satisfaction both the electrical and thermal demands without violating any constraints.\",\"PeriodicalId\":174878,\"journal\":{\"name\":\"2022 23rd International Middle East Power Systems Conference (MEPCON)\",\"volume\":\"214 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 23rd International Middle East Power Systems Conference (MEPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEPCON55441.2022.10021775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 23rd International Middle East Power Systems Conference (MEPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEPCON55441.2022.10021775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Techno-economic Sizing of Electrical/Green Hydrogen Generation System for Hybrid Demand Load
In paper studies a system based on renewable energy sources (RES) for supplying hybrid electrical and thermal load demand to an isolated house in Egypt. The proposed electrical/green hydrogen generation (EGHG) system is mainly fed by a photovoltaic (PV) system, batteries, and a hydrogen system unit that includes an electrolyzer, hydrogen tank, and fuel cell (FC). In this study, to assess the efficacy of the hybrid generating system, factors such as the Levelized cost of energy (COE), the net present cost (NPC), and the capability of the hybrid scheme to fulfill the load under diverse climatic circumstances were taken into consideration. The optimal size of the system is determined via the optimization approach, which is based on the particle swarm algorithm (PSO). The results show that the COE for the EGHG system is about 1.2 $/ kWh, which is competitive with conventional energy sources. Moreover, the optimal sizing of the EGHG system shows a satisfaction both the electrical and thermal demands without violating any constraints.