{"title":"基于模糊进化混合算法的多锅炉系统优化设计与控制","authors":"A. Perera, P. Kumarage, K. Perera","doi":"10.1109/ICIINFS.2011.6038097","DOIUrl":null,"url":null,"abstract":"Optimal load management of energy system is been widely discussed due to the higher depletion rate of fossil fuel resources and ever increasing energy demands. In such circumstances, optimal design and control of boiler systems play a major role. New algorithm based on fuzzy-evolutionary hybrid techniques is being introduced in this study to carry out this work. Detailed energy flow and lifecycle cost model was introduced in order to support the optimization. Finally, optimization algorithm was tested for two different load curves and obtained results were discussed.","PeriodicalId":353966,"journal":{"name":"2011 6th International Conference on Industrial and Information Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal design and control of multiple boiler systems using fuzzy-evolutionary hybrid algorithm\",\"authors\":\"A. Perera, P. Kumarage, K. Perera\",\"doi\":\"10.1109/ICIINFS.2011.6038097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimal load management of energy system is been widely discussed due to the higher depletion rate of fossil fuel resources and ever increasing energy demands. In such circumstances, optimal design and control of boiler systems play a major role. New algorithm based on fuzzy-evolutionary hybrid techniques is being introduced in this study to carry out this work. Detailed energy flow and lifecycle cost model was introduced in order to support the optimization. Finally, optimization algorithm was tested for two different load curves and obtained results were discussed.\",\"PeriodicalId\":353966,\"journal\":{\"name\":\"2011 6th International Conference on Industrial and Information Systems\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th International Conference on Industrial and Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIINFS.2011.6038097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th International Conference on Industrial and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIINFS.2011.6038097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal design and control of multiple boiler systems using fuzzy-evolutionary hybrid algorithm
Optimal load management of energy system is been widely discussed due to the higher depletion rate of fossil fuel resources and ever increasing energy demands. In such circumstances, optimal design and control of boiler systems play a major role. New algorithm based on fuzzy-evolutionary hybrid techniques is being introduced in this study to carry out this work. Detailed energy flow and lifecycle cost model was introduced in order to support the optimization. Finally, optimization algorithm was tested for two different load curves and obtained results were discussed.