Tsuey-Lan Wang

Doctoral Candidate, Graduate Institute of Business Administration, Fu Jen Catholic 

University, Taiwan, R.O.C.

Corresponding Author: E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 Ben-Chang Shia   

Professor, Executive Master Program of Business Administration in Biotechnology, 

College of Management, Taipei Medical University, Taiwan, R.O.C.

Tian-Shyug Lee

Professor, Graduate Institute of Business Administration, Fu Jen Catholic University, Taiwan, R.O.C.


In response to the global trend of energy saving and the reduction in greenhouse gas emissions and operating costs, heat pumps are widely installed in university student dormitories to supply hot water without time limits. To ensure hot water is always available, the set point of water temperature is usually very conservative and accompanied by additional backwater heating equipment. However, the energy efficiency could be enhanced by using more accurate temperature set-point. To our best knowledge, there is no prior studies using big data analysis for improving energy efficiency. In this study, we use actual operational data to identify the advancedly potential energy-saving factors in the first place, and then outline the system modules of how to set temperature dynamically. 

Using a real case of automatic control modules of heat pump hot water system in 2016 we identify two key factors: outside air temperature and the date of setting temperature point. We demonstrate a significant improvement on energy efficiency: a saving of 1/3 energy waste, 1/5 re-start times, and 30.37% energy costs. Our model of showing a significant improvement on energy efficiency indicates that innovative and sustainable energy business models could be expected.

Keywords: Backwater heating, Energy Service Companies (ESCO), Heat Pump, LOESS

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