Browse > Article
http://dx.doi.org/10.6110/KJACR.2015.27.3.113

Interaction Analysis between Cooling-to-Heating Load Ratio and Primary Energy Consumption of HVAC&R System for Building Energy Conservation  

Cho, Jinkyun (Construction Technology Division, Samsung C&T Corporation)
Kim, Jinho (Construction Technology Division, Samsung C&T Corporation)
Lee, Suengjae (Construction Technology Division, Samsung C&T Corporation)
Kang, Hosuk (Construction Technology Division, Samsung C&T Corporation)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.27, no.3, 2015 , pp. 113-122 More about this Journal
Abstract
HVAC&R systems account for more than 50% of the energy consumption of buildings. The purpose of this study is to propose an optimal design method for the HVAC&R system and to examine the possibility for the energy conservation of a selected system. The energy demand for cooling and heating is determined by using TRNSYS and HEET. By an interaction between total system efficiency and cooling-to-heating load ratio, the optimal HVAC&R systems will be decided. The results showed that this proposed method is significantly capable of determining optimal system and building design for saving energy.
Keywords
Thermal load; HVAC&R system; System efficiency; Cooling-to-Heating load ratio; Primary energy;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Perez-lombard, L., Ortiz, J., and Pout, C., 2008, A review on buildings energy consumption information, Energy and Buildings, Vol. 40, No. 3, pp. 394-398.   DOI   ScienceOn
2 DTI, 2010, Energy consumption in the UK, Department of Trade and Industry, London.
3 Shahrestani, M., Yao, R., and Cook, G. K., 2013, Characterising the energy performance of centralised HVAC&R systems in the UK, Energy and Buildings, Vol. 62, pp. 239-247.   DOI
4 Elovitz, D. M., 2002, Selecting the right HVAC system, ASHARE Journal, Vol. 4, pp. 24-30.
5 Wang, W., Zmeureanu, R., and Rivard, H., 2005, Applying multi-objective genetic algorithms in green building design optimization, Building and Environment, Vol. 40, pp. 1512-1525.   DOI
6 Tuhus-Durow and D. Krarti, M., 2010, Genetic algorithm based approach to optimize building envelope design for residential buildings, Building and Environment Vol. 45 No. 7, pp. 1574-1584.   DOI
7 Youssef, B. and Moncef, K., 2011, Optimization of envelope and HVAC systems selection for residential buildings, Energy and Buildings Vol. 43, pp. 3373-3382.   DOI
8 Yang, C., Li, H., Rezgui, Y., Petri, I., Yuce, B., Chen, B., and Jayan, B., 2014, High throughput computing based distributed genetic algorithm for building energy consumption optimization, Energy and Buildings, Vol. 76, pp. 92-101.
9 Cho, J., Shin, S., Kim, J., and Hong, H., 2014, Development of an energy evaluation methodology to make multiple predictions of the HVAC&R system energy demand for office buildings, Energy and Buildings, Vol. 76, pp. 169-183.
10 Hayter, S., Torcellini, P., Hayter, R. B., and Judkoff, R., 2001, The Energy Design Process for Designing and Constructing High-Performance Buildings, Clima 2000/Napoli 2001 World Congress.
11 Pantelic, J., Raphael, B., and Tham, K., 2012, A preference driven multi-criteria optimization tool for HVAC design and operation, Energy and Buildings, Vol. 55, pp. 118-126.   DOI
12 Wemhoff, A. P., 2010, Application of optimization techniques on lumped HVAC models for energy conservation, Energy and Buildings Vol. 42, pp. 2445-2451.   DOI
13 Kong, D., Janng, S., and Huh, J., 2014, A multi-objective Optimization Method for Energy System Design Considering Initial Cost and Primary Energy Consumption, Korean Journal of Air-conditioning and Refrigeration Engineering, Vol. 26, No. 8, pp. 357-365.   DOI
14 Perez-Lombard, L., Ortiz, J., and Maestre, I. R., 2011, The map of energy flow in HVAC systems, Applied Energy, Vol. 88, No. 12, pp. 5020-5031.   DOI
15 ASHRAE fundamentals handbook, 2009, American Society of Heating, Refrigerating and Air Conditioning Engineers.
16 Cho, J., Shin, S., Kim, J., Hwang, D., and Hong, H., 2013, Development of an HVAC&R Systems Energy Evaluation Methodology and Simulation Program for Office Buildings, Korean Journal of Air-conditioning and Refrigeration Engineering, Vol. 25, No. 7, pp. 363-370.   DOI
17 Cho, J., Shin, S., and Kim, J., 2012, System Impact Assessment for Energy Consumption Characteristic of Office Building HVAC&R Systems, Journal of the Architectural Institute of Korea, Vol. 8, No. 11, pp. 393-400.
18 Xu, J., Kim, J., Hong, H., and Koo, J., 2014, Optimization of building HVAC loads considering interactions between building design factors, Proceedings of the SAREK 2014 Summer Annual Conference, pp. 199-202.