{"title":"Optimization of wind off-grid system for remote area: Egyptian application","authors":"A. Berry, M. Ibrahim","doi":"10.1177/0309524x231185325","DOIUrl":null,"url":null,"abstract":"Due unexpected nature of renewable energy systems, the (Wind/Diesel/Battery) (W/D/B) off-grid system has initially been investigated at a South Sinai location in Egypt for home-scale consumption. Eight different systems, each of which consists of a small wind turbine, storage batteries, and diesel generator, are investigated in accordance with the varying needs of the power loads and seasonal weather data. The major goal is to investigate how adding wind power as an energy source will affect the price of electricity generated while taking into account the cost of reducing CO2 emissions as an external benefit of the wind turbine, which emits no pollutants during operation. In order to compare a Taguchi OA design to a two-level full factorial design to evaluate the systems at two separate sites (South Sinai and the Western Desert in Egypt), a design evaluation tool in DOE++ will be used. To pinpoint the crucial variables and analyze the impact of six different factors on eight different sets, Taguchi OA is used. The proportion of power shortfall is a production indicator, while the net present cost (NPC) and cost of energy (COE) are used as economic indicators. The simulation results demonstrate that W/D/B systems are economically viable for the hypothetical community site when using HOMER software, with electricity generated at a cost of about 0.285$/kWh without accounting for external benefits and 0.221$/kWh if CO2 emissions are competitive with diesel-only systems, where COE is 0.432$/kWh. As a new evaluation approach, the Box-Cox transformation calculated the best λ is about −2 at the two locations, indicating similar technique behaviors, and the fitted probability shows, meaning that the significant impact of system components are wind turbines. Regression model of CO2 emission is demonstrated to be successful for estimates at the Western Desert location than the South Sinai region","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"16 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wind Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0309524x231185325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Due unexpected nature of renewable energy systems, the (Wind/Diesel/Battery) (W/D/B) off-grid system has initially been investigated at a South Sinai location in Egypt for home-scale consumption. Eight different systems, each of which consists of a small wind turbine, storage batteries, and diesel generator, are investigated in accordance with the varying needs of the power loads and seasonal weather data. The major goal is to investigate how adding wind power as an energy source will affect the price of electricity generated while taking into account the cost of reducing CO2 emissions as an external benefit of the wind turbine, which emits no pollutants during operation. In order to compare a Taguchi OA design to a two-level full factorial design to evaluate the systems at two separate sites (South Sinai and the Western Desert in Egypt), a design evaluation tool in DOE++ will be used. To pinpoint the crucial variables and analyze the impact of six different factors on eight different sets, Taguchi OA is used. The proportion of power shortfall is a production indicator, while the net present cost (NPC) and cost of energy (COE) are used as economic indicators. The simulation results demonstrate that W/D/B systems are economically viable for the hypothetical community site when using HOMER software, with electricity generated at a cost of about 0.285$/kWh without accounting for external benefits and 0.221$/kWh if CO2 emissions are competitive with diesel-only systems, where COE is 0.432$/kWh. As a new evaluation approach, the Box-Cox transformation calculated the best λ is about −2 at the two locations, indicating similar technique behaviors, and the fitted probability shows, meaning that the significant impact of system components are wind turbines. Regression model of CO2 emission is demonstrated to be successful for estimates at the Western Desert location than the South Sinai region
期刊介绍:
Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.