A research on a following day load simulation method based on weather forecast parameters

作者: Nianping Li , Kuan Wang , Jianlin Cheng

DOI: 10.1016/J.ENCONMAN.2015.06.073

关键词: MeteorologyGlobal warmingGlobal Forecast SystemCold storageWeather dataMacroComputer scienceCooling load

摘要: Accurate simulation and forecast of cooling load is vital in the design efficient a cold storage system. In order to be more accurate predictions reduce errors, most previous studies have focused on how improve methodology or correct annual meteorological parameters library face global warming. Although such approaches can accuracy forecast, they still major weaknesses, as their requirement large amount daily hourly historical records failure predict weather data for any given day accounting future change macro climate. To address these problems, following method (FDLS) proposed by authors this research. This simulates based published authorities. The FDLS validated comparing results with actual collected from building. Furthermore, advantages disadvantages are highlighted study.

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