J. Asmar, R. Kouta, S. Laghrouche, J. E. Assad, M. Wack
{"title":"工业部门热电联产系统:一种最优功率","authors":"J. Asmar, R. Kouta, S. Laghrouche, J. E. Assad, M. Wack","doi":"10.1109/CCA.2014.6981415","DOIUrl":null,"url":null,"abstract":"Today's industrial sector depends more and more upon cogeneration systems due to their global efficiency and reduced pollution. These systems may operate from conventional fuel sources as well as from renewable energy sources (biomass, solar, fuel cell). Cogeneration is installed as a distributed generation and on-site generation source to profit from the produced heat. The utility can motivate factories to install such systems by permitting them to link their residual production capacity to the electrical grid. This work presents a study concerning the optimized cogeneration capacity to be installed in a factory. Genetic algorithm (GA) optimization method is then used with a sensitivity analysis to find a compromise between the economic and the environmental issues.","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Cogeneration systems for industrial sector: An optimal power\",\"authors\":\"J. Asmar, R. Kouta, S. Laghrouche, J. E. Assad, M. Wack\",\"doi\":\"10.1109/CCA.2014.6981415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today's industrial sector depends more and more upon cogeneration systems due to their global efficiency and reduced pollution. These systems may operate from conventional fuel sources as well as from renewable energy sources (biomass, solar, fuel cell). Cogeneration is installed as a distributed generation and on-site generation source to profit from the produced heat. The utility can motivate factories to install such systems by permitting them to link their residual production capacity to the electrical grid. This work presents a study concerning the optimized cogeneration capacity to be installed in a factory. Genetic algorithm (GA) optimization method is then used with a sensitivity analysis to find a compromise between the economic and the environmental issues.\",\"PeriodicalId\":205599,\"journal\":{\"name\":\"2014 IEEE Conference on Control Applications (CCA)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Conference on Control Applications (CCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.2014.6981415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Control Applications (CCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.2014.6981415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cogeneration systems for industrial sector: An optimal power
Today's industrial sector depends more and more upon cogeneration systems due to their global efficiency and reduced pollution. These systems may operate from conventional fuel sources as well as from renewable energy sources (biomass, solar, fuel cell). Cogeneration is installed as a distributed generation and on-site generation source to profit from the produced heat. The utility can motivate factories to install such systems by permitting them to link their residual production capacity to the electrical grid. This work presents a study concerning the optimized cogeneration capacity to be installed in a factory. Genetic algorithm (GA) optimization method is then used with a sensitivity analysis to find a compromise between the economic and the environmental issues.