This paper introduces models estimating adjusted energy baseline, which are used in actual Energy Service Company (ESCO) projects, and analyzes estimation accuracy of the models. First, the accuracy of the ESCO models that include several independent variables, for example outdoor air temperature, number of occupancies or operating equipments, and the accuracy of simple regression models whose independent variable is only outdoor air temperature, which are newly made by the authors, are compared in order to reveal how the independent variables except for outdoor air temperature affect the estimation accuracy. The results show that the accuracy can be improved about 4.3% by considering the independent variables besides outdoor air temperature Next, the accuracy of the ESCO models and the accuracy of the models made by the authors using equations proposed by ASHRAE, which can estimate the energy consumption in moderate season, are compared. The results show that some ASHRAE models can estimate energy consumption more accurately than ESCO models. Finally, the accuracy of a model whose coefficients are determined using daily energy consumption data and the accuracy of a model whose coefficients are determined using monthly energy consumption data are compared. The result shows for the purpose of estimating monthly energy consumption, the two models gave same estimation accuracy. Therefore for estimating the monthly energy consumption, it is enough to fit the coefficients using monthly data other than daily data.
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