Air Conditioning Load Forecasting and Optimal Operation of Water Systems
نویسندگان
چکیده
In order to conduct a data-driven load forecasting modeling and its application in optimal control of air-conditioning system, this study used hotel’s central air conditioning system as the research object. Based on data hotel energy management load-forecasting model based support vector regression (SVR) was established by MATLAB. working principle chiller, chilled water pump, cooling tower, consumption models were established, respectively. Finally, results equipment model, optimization objective function solved optimize operating parameters at different rates, operation strategy for each piece obtained, energy-saving analysis carried out. The show that range rate 25~90%, has an effect, system’s is highest when 25.4%. average 12.4%.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su14094867