Advanced SearchSearch Tips
A Study on the Optimal Energy Mix Model in Buildings with OEMGD Algorithm Focusing on Ground Source Heat Pump and District Heating & Cooling System
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study on the Optimal Energy Mix Model in Buildings with OEMGD Algorithm Focusing on Ground Source Heat Pump and District Heating & Cooling System
Lee, Key Chang; Hong, Jun Hee; Lee, Kyu Keon;
  PDF(new window)
This study was conducted to promote consumer interest in Geothermal Heat Pump (Ground Source Heat Pump, GSHP) and district heating and cooling (District Heating & Cooling, DHC) systems, which are competing with each other in the heating and cooling field. Considering not only the required cost data of energy itself, but also external influence factors, the optimal mix ratio of these two energy systems was studied as follows. The quantitative data of the two energy systems was entered into a database and the non-quantitative factors of external influence were applied in the form of coefficients. Considering both of these factors, the optimal mix ratio of GSHP and DHC systems and minimum Life Cycle Cost (LCC) were obtained using an algorithm model design. The Optimal Energy Mix of GSHP & DHC (OEMGD) algorithm was developed using a software program (Octave 4.0). The numerical result was able to reflect the variety of external influence factors through the OEMGD algorithm. The OEMGD model found that the DHC system is more economical than the GSHP system and was able to represent the optimal energy mix ratio and LCC of mixed energy systems according to changes in the external influences. The OEMGD algorithm could be of help to improve the consumers` experience and rationalize their energy usage.
geothermal source heat pump;district heating and cooling system;energy mix;OEMGD algorithm;LCC;
 Cited by
Ahn SH(2008) General Guide for Feasibility 5th ed. Korea Development Institute

Beijia H, Volker M(2015) Life cycle sustain ability assessment of ground source heat pump in Shanghai, China. J Cleaner Production 1-8

Cho HN(2002) Development of an uncertainty treatment module for life cycle cost analysis system of steel bridge. Korea Infrastructure Safety & Technology Corporation

Choi DJ, Park HK(2000) Analysis of Water Privatization Scenarios with Multi-Criteria Decision Techniques. Korean Soc Civil Engineers 20(1) 175-187

Jang YJ, Kim SY, Shin YS, Kim GH(2014) Economic analysis of geothermal energy facilities applied to public buildings. Korean J Inst Build Const 14(5), 423-432 crossref(new window)

Jo YJ, Lee JY, Lim SY, Hong GP(2009) A review on potential effects of installation and operation of ground source heat pumps on soil and ground water environment. Korean J Soil Groundw Environ 14(3), 22-31

Kim YJ(2014) A study of agriculture.rural use condition & policy plan. Korea Rural Economic Institute

Ko MJ, Oh JK, Kim YI, Kim YS(2007) Economic estimation of heat storage type geothermal source heat pump system adopted in government office building by a payback period method. Korean J Solar Energy Soc 27(4), 175-182

Lee DK, Shin SM(2006) A study on uncertainty analyses of monte carlo techniques using sets of double uniform random numbers. Arch Res 8(2), 27-36

Lee KC, Hong JH, Kong HJ(2016) A Study of comparative economic evaluation for the system of ground source heat pump and district heating and cooling. Korean J Air-Conditioning Refrigeration Engineering 28(3), 103-109 crossref(new window)

Ministry of Knowledge Economy(2009) Regulation of progressive tax exemption in geothermal energy use. Available from http// [cited 2016 May]

Ryu HG, Jung WS(2014) A research for application of geothermal cooling-heating system in multi family apartment. Korean Institute of Architectural Sustainable Environment and Building Systems 10 19-31

Yasukawa K, Takasugi S(2003) Present status of underground thermal utilization in Japan. Elsevier 32(4), 609-618 crossref(new window)