References
- 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. https://doi.org/10.1016/j.enbuild.2007.03.007
- DTI, 2010, Energy consumption in the UK, Department of Trade and Industry, London.
- 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. https://doi.org/10.1016/j.enbuild.2013.03.016
- Elovitz, D. M., 2002, Selecting the right HVAC system, ASHARE Journal, Vol. 4, pp. 24-30.
- 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. https://doi.org/10.1016/j.buildenv.2004.11.017
- 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. https://doi.org/10.1016/j.buildenv.2010.01.005
- Youssef, B. and Moncef, K., 2011, Optimization of envelope and HVAC systems selection for residential buildings, Energy and Buildings Vol. 43, pp. 3373-3382. https://doi.org/10.1016/j.enbuild.2011.08.031
- 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.
- 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.
- 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.
- 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. https://doi.org/10.1016/j.enbuild.2012.04.021
- Wemhoff, A. P., 2010, Application of optimization techniques on lumped HVAC models for energy conservation, Energy and Buildings Vol. 42, pp. 2445-2451. https://doi.org/10.1016/j.enbuild.2010.08.024
- 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. https://doi.org/10.6110/KJACR.2014.26.8.357
- 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. https://doi.org/10.1016/j.apenergy.2011.07.003
- ASHRAE fundamentals handbook, 2009, American Society of Heating, Refrigerating and Air Conditioning Engineers.
- 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. https://doi.org/10.6110/KJACR.2013.25.7.363
- 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.
- 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.
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