1 |
Ooka, R. and Komamura, K., 2009, Optimal design method for building energy systems using genetic algorithms, Building and Environment, Vol. 44, No. 7, pp. 1538-1544.
DOI
|
2 |
Kayo, G. and Ooka, R., 2010, Building energy system optimizations with utilization of waste heat from cogenerations by means of genetic algorithm, Energy and Buildings, Vol. 42, No. 7, pp. 985-997.
DOI
|
3 |
Seo, J. H., Ooka, R., Kim, J. T., and Nam, Y. J., 2014, Optimization of the HVAC system design to minimize primary energy demand, Energy and Building, Vol. 76, pp. 102-108.
DOI
|
4 |
Kong, D. S., Jang, Y. S., and Huh, J. H., 2014, A multiobjective optimization method for energy system design considering initial cost and primary energy consumption, Korean Journal of Air-Conditioning and Refrigerating Engineering, Vol. 26, No. 8, pp. 357-365.
DOI
|
5 |
Hafez, O. and Bhattacharya, K., 2012, Optimal planning and design of a renewable energy based supply system for microgrids, Renewable Energy, Vol. 45, pp. 7-15.
DOI
|
6 |
Rao, S. S. 2011, Engineering Optimization : theory and practice, 4th ed., pp. 726-737.
|
7 |
Paek, N. S., 2011, Evaluating economy and environmental load of heat pump hot water system with refrigerant by LCC and analyses, MS thesis, Hanyang University, Seoul, Korea.
|
8 |
Yu, M. G., Cho, J. H., and Nam, Y., 2015, Feasibility study of the energy supply system for horticulture facility using dynamic energy simulation, Korean Journal of Ecological Architecture and Environment, Vol. 15, No. 1, pp. 103-109.
|
9 |
Jang, S. H., 2004, Evolutionary Multi-Objective Optimization Algorithms using Pareto Dominance Rank and Density Weighting, The KIPS Transcations : Part B, Vol. 11B, No. 2, pp. 213-220.
DOI
|
10 |
Park, C. B., 2011, A study on the application of low energy cooling systems in office building, the graduate school of chung-ang university, doctor degree.
|