A. Shah, Yuki Ishikawa, Suguru Odakura, N. Kakimoto
{"title":"基于PV系统的锂离子电池能量控制数值模型","authors":"A. Shah, Yuki Ishikawa, Suguru Odakura, N. Kakimoto","doi":"10.5013/ijssst.a.15.06.07","DOIUrl":null,"url":null,"abstract":"Renewable energy resources such as photovoltaic (PV) or wind energy are essential to endure an approaching energy crisis in the near future. However, an effective idea of control needs to be well structured in advance so that the accumulated energy generated from these resources can be managed in an appropriate way. In this paper, a numerical model that computes an optimized value of energy consumption based on weekly forecast has been performed in order to provide stable energy that is highly uninfluenced by the fluctuating weather. A smart energy control method for Home Energy Management System (HEMS) that is capable of increasing the energy consumption in sunny days while maintaining a minimum consistent value of energy in bad weather conditions is proposed. The simulated system succeeded in supplying at least 10 Ah of energy to the load in most cases during the rainy/cloudy days. Plus, the number of insufficient day, (NID) were reduced significantly to 0 day in most years from the year 2000 to 2010 when the battery capacity was further expanded from 30 to 35 Ah. Keywords-Power Control, Lithium-ion Battery, Energy Management, Photovoltaic.","PeriodicalId":14286,"journal":{"name":"International journal of simulation: systems, science & technology","volume":"53 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Numerical Model of Energy Control for Lithium-Ion Batteries Based on PV System\",\"authors\":\"A. Shah, Yuki Ishikawa, Suguru Odakura, N. Kakimoto\",\"doi\":\"10.5013/ijssst.a.15.06.07\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Renewable energy resources such as photovoltaic (PV) or wind energy are essential to endure an approaching energy crisis in the near future. However, an effective idea of control needs to be well structured in advance so that the accumulated energy generated from these resources can be managed in an appropriate way. In this paper, a numerical model that computes an optimized value of energy consumption based on weekly forecast has been performed in order to provide stable energy that is highly uninfluenced by the fluctuating weather. A smart energy control method for Home Energy Management System (HEMS) that is capable of increasing the energy consumption in sunny days while maintaining a minimum consistent value of energy in bad weather conditions is proposed. The simulated system succeeded in supplying at least 10 Ah of energy to the load in most cases during the rainy/cloudy days. Plus, the number of insufficient day, (NID) were reduced significantly to 0 day in most years from the year 2000 to 2010 when the battery capacity was further expanded from 30 to 35 Ah. Keywords-Power Control, Lithium-ion Battery, Energy Management, Photovoltaic.\",\"PeriodicalId\":14286,\"journal\":{\"name\":\"International journal of simulation: systems, science & technology\",\"volume\":\"53 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of simulation: systems, science & technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5013/ijssst.a.15.06.07\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of simulation: systems, science & technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5013/ijssst.a.15.06.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Numerical Model of Energy Control for Lithium-Ion Batteries Based on PV System
Renewable energy resources such as photovoltaic (PV) or wind energy are essential to endure an approaching energy crisis in the near future. However, an effective idea of control needs to be well structured in advance so that the accumulated energy generated from these resources can be managed in an appropriate way. In this paper, a numerical model that computes an optimized value of energy consumption based on weekly forecast has been performed in order to provide stable energy that is highly uninfluenced by the fluctuating weather. A smart energy control method for Home Energy Management System (HEMS) that is capable of increasing the energy consumption in sunny days while maintaining a minimum consistent value of energy in bad weather conditions is proposed. The simulated system succeeded in supplying at least 10 Ah of energy to the load in most cases during the rainy/cloudy days. Plus, the number of insufficient day, (NID) were reduced significantly to 0 day in most years from the year 2000 to 2010 when the battery capacity was further expanded from 30 to 35 Ah. Keywords-Power Control, Lithium-ion Battery, Energy Management, Photovoltaic.