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Analysis of energy efficiency retrofit scheme for hotel buildings using eQuest software: A case study from Tianjin, China
Highlights A calibrated eQuest model accurately predicts the effects of a BEER scheme. Actual energy consumption declined 77.3%, compared with the predicted of 76.7%. Appropriate default parameters for hotel would simplify model development. The schedules of internal loads influence most in the accuracy of hotel model. Design standards poorly predicted internal loads, so equipment was surveyed.
Abstract Hotel buildings generally consume more energy than other types of public buildings, so measures should be adopted to reduce their energy demands. Energy retrofit measures (ERMs) were explored by eQuest software, using the example of an existing four-star hotel in Tianjin, China. The study investigates predictive accuracy for the major factors in the energy consumption of hotel buildings. The results indicate that the schedules of internal loads have the most significant impact on the accuracy of the model for hotel buildings, followed by occupancy rate and coefficient of performance (COP) of the chillers. A retrofit scheme was formulated and its energy-saving potential was evaluated by the calibrated model. Post-implementation monitoring was carried out, and the similarity between model predictions and the actual outcomes of the retrofits confirms that the calibrated model provides a highly accurate forecast of the energy-saving effects of the building energy efficiency retrofit (BEER) scheme.
Analysis of energy efficiency retrofit scheme for hotel buildings using eQuest software: A case study from Tianjin, China
Highlights A calibrated eQuest model accurately predicts the effects of a BEER scheme. Actual energy consumption declined 77.3%, compared with the predicted of 76.7%. Appropriate default parameters for hotel would simplify model development. The schedules of internal loads influence most in the accuracy of hotel model. Design standards poorly predicted internal loads, so equipment was surveyed.
Abstract Hotel buildings generally consume more energy than other types of public buildings, so measures should be adopted to reduce their energy demands. Energy retrofit measures (ERMs) were explored by eQuest software, using the example of an existing four-star hotel in Tianjin, China. The study investigates predictive accuracy for the major factors in the energy consumption of hotel buildings. The results indicate that the schedules of internal loads have the most significant impact on the accuracy of the model for hotel buildings, followed by occupancy rate and coefficient of performance (COP) of the chillers. A retrofit scheme was formulated and its energy-saving potential was evaluated by the calibrated model. Post-implementation monitoring was carried out, and the similarity between model predictions and the actual outcomes of the retrofits confirms that the calibrated model provides a highly accurate forecast of the energy-saving effects of the building energy efficiency retrofit (BEER) scheme.
Analysis of energy efficiency retrofit scheme for hotel buildings using eQuest software: A case study from Tianjin, China
Xing, Jincheng (author) / Ren, Peng (author) / Ling, Jihong (author)
Energy and Buildings ; 87 ; 14-24
2014-10-21
11 pages
Article (Journal)
Electronic Resource
English
ERMs , energy retrofit measures , COP , coefficient of performance , BEER , building energy efficiency retrofit , DHW , domestic hot water , MBE , mean bias error , RMSE , root mean square error , ECMs , energy conservation measures , HVAC , heating, ventilation, and air-conditioning , MEP , mechanical, electrical and plumbing , <italic>C</italic> <inf><italic>V</italic></inf> (RMSE) , coefficient of variation of the root-mean-squared error , CON , conference room , EIFS , exterior insulating finishing system , WSHP , water-source heat pump , CSWD , Chinese standard weather data , TMY , typical meteorological year , EER , energy efficiency ratio , Building energy efficiency retrofit , Energy conservation analysis , eQuest , Hotel buildings , Two-stage utilization of geothermal water
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