D. Pamungkas, M. Pipattanasomporn, S. Rahman, N. Hariyanto, Suwarno
{"title":"太阳能光伏、电池储能和暖通空调设定值调整对建筑节能和减峰潜力的影响","authors":"D. Pamungkas, M. Pipattanasomporn, S. Rahman, N. Hariyanto, Suwarno","doi":"10.23919/ICUE-GESD.2018.8635736","DOIUrl":null,"url":null,"abstract":"This paper discusses and compares three alternatives to reduce electrical energy consumption (kWh) and peak demand (kW) in buildings, namely deployment of rooftop solar PV, battery energy storage and HVAC set point adjustments. The building model of a warehouse located in Alexandria, VA, was developed in eQUEST, and its electrical consumption was validated with metered data. To perform the overall analysis, adjustment of HVAC set points was conducted in eQUEST, while Solar PV and battery models were developed and deployed on top of the developed eQUEST building model. Overall, the method presented here can serve as a guideline for building owners to analyze energy savings/peak demand reduction alternatives, of which benefits are varied from buildings to buildings based on building sizes, electricity tariffs, climate zones and building operation.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"65 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Impacts of Solar PV, Battery Storage and HVAC Set Point Adjustments on Energy Savings and Peak Demand Reduction Potentials in Buildings\",\"authors\":\"D. Pamungkas, M. Pipattanasomporn, S. Rahman, N. Hariyanto, Suwarno\",\"doi\":\"10.23919/ICUE-GESD.2018.8635736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses and compares three alternatives to reduce electrical energy consumption (kWh) and peak demand (kW) in buildings, namely deployment of rooftop solar PV, battery energy storage and HVAC set point adjustments. The building model of a warehouse located in Alexandria, VA, was developed in eQUEST, and its electrical consumption was validated with metered data. To perform the overall analysis, adjustment of HVAC set points was conducted in eQUEST, while Solar PV and battery models were developed and deployed on top of the developed eQUEST building model. Overall, the method presented here can serve as a guideline for building owners to analyze energy savings/peak demand reduction alternatives, of which benefits are varied from buildings to buildings based on building sizes, electricity tariffs, climate zones and building operation.\",\"PeriodicalId\":6584,\"journal\":{\"name\":\"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)\",\"volume\":\"65 1\",\"pages\":\"1-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICUE-GESD.2018.8635736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICUE-GESD.2018.8635736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impacts of Solar PV, Battery Storage and HVAC Set Point Adjustments on Energy Savings and Peak Demand Reduction Potentials in Buildings
This paper discusses and compares three alternatives to reduce electrical energy consumption (kWh) and peak demand (kW) in buildings, namely deployment of rooftop solar PV, battery energy storage and HVAC set point adjustments. The building model of a warehouse located in Alexandria, VA, was developed in eQUEST, and its electrical consumption was validated with metered data. To perform the overall analysis, adjustment of HVAC set points was conducted in eQUEST, while Solar PV and battery models were developed and deployed on top of the developed eQUEST building model. Overall, the method presented here can serve as a guideline for building owners to analyze energy savings/peak demand reduction alternatives, of which benefits are varied from buildings to buildings based on building sizes, electricity tariffs, climate zones and building operation.