{"title":"基于模糊逻辑的空调可再生能源分配","authors":"K. Ravindra, M. Rao, V. Chaitanya","doi":"10.1109/I2C2.2017.8321813","DOIUrl":null,"url":null,"abstract":"The per capita consumption of power in India is insufficient compared to other developed countries in the world. Hence, the only way is the optimal utilization of available energy sources. But the difference between production and consumption of electrical energy, during summer is very high, due to large utilization of cooling machines like Air Conditioner, Air Coolers. In such case a Software industry, like BPO call center or any office with large server and many systems need to have a 24 hour working Air Conditioner. This leads to huge power consumption. Conservative measures need to be initiated and implement to decrease this gap. To restrain this situation the concept of DSM has begun in power system planning and management. Therefore this paper included Fuzzy logic applied to AC which results to calculate the actual hourly turn off period and reduction in energy consumption. By the optimal consumption of electrical power results increase saving by reducing the electricity bill and reduce the over load on live grid during peak hours and also calculate the cost of savings and payback period for the return of investment. In this paper, solar energy is used to run air conditioner. The cost of saving and payback period is calculated by considering only Photo Voltaic (PV) and Photo Voltaic with fuzzy controller. Results proved that usage of PV with fuzzy controller has better annual saving and lower pay back period compared with only considering PV.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Renewable energy source allocation of air-conditioner using fuzzy logic\",\"authors\":\"K. Ravindra, M. Rao, V. Chaitanya\",\"doi\":\"10.1109/I2C2.2017.8321813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The per capita consumption of power in India is insufficient compared to other developed countries in the world. Hence, the only way is the optimal utilization of available energy sources. But the difference between production and consumption of electrical energy, during summer is very high, due to large utilization of cooling machines like Air Conditioner, Air Coolers. In such case a Software industry, like BPO call center or any office with large server and many systems need to have a 24 hour working Air Conditioner. This leads to huge power consumption. Conservative measures need to be initiated and implement to decrease this gap. To restrain this situation the concept of DSM has begun in power system planning and management. Therefore this paper included Fuzzy logic applied to AC which results to calculate the actual hourly turn off period and reduction in energy consumption. By the optimal consumption of electrical power results increase saving by reducing the electricity bill and reduce the over load on live grid during peak hours and also calculate the cost of savings and payback period for the return of investment. In this paper, solar energy is used to run air conditioner. The cost of saving and payback period is calculated by considering only Photo Voltaic (PV) and Photo Voltaic with fuzzy controller. Results proved that usage of PV with fuzzy controller has better annual saving and lower pay back period compared with only considering PV.\",\"PeriodicalId\":288351,\"journal\":{\"name\":\"2017 International Conference on Intelligent Computing and Control (I2C2)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Intelligent Computing and Control (I2C2)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2C2.2017.8321813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Intelligent Computing and Control (I2C2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2C2.2017.8321813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Renewable energy source allocation of air-conditioner using fuzzy logic
The per capita consumption of power in India is insufficient compared to other developed countries in the world. Hence, the only way is the optimal utilization of available energy sources. But the difference between production and consumption of electrical energy, during summer is very high, due to large utilization of cooling machines like Air Conditioner, Air Coolers. In such case a Software industry, like BPO call center or any office with large server and many systems need to have a 24 hour working Air Conditioner. This leads to huge power consumption. Conservative measures need to be initiated and implement to decrease this gap. To restrain this situation the concept of DSM has begun in power system planning and management. Therefore this paper included Fuzzy logic applied to AC which results to calculate the actual hourly turn off period and reduction in energy consumption. By the optimal consumption of electrical power results increase saving by reducing the electricity bill and reduce the over load on live grid during peak hours and also calculate the cost of savings and payback period for the return of investment. In this paper, solar energy is used to run air conditioner. The cost of saving and payback period is calculated by considering only Photo Voltaic (PV) and Photo Voltaic with fuzzy controller. Results proved that usage of PV with fuzzy controller has better annual saving and lower pay back period compared with only considering PV.