# 다단계 최적화 수법을 이용한 열원 설비 설계법에 관한 연구

• Accepted : 2016.07.05
• Published : 2016.07.10
• 40 8

#### Abstract

In recent years, heat source systems which have a principal effect on the performance of buildings are difficult to design optimally as a great number of design factors and constraints in large and complicated buildings need to be considered. On the other hand, it is necessary to design an optimum system combination and operation planning for energy efficiency considering Life Cycle Cost (LCC). This study suggests a multi-level and multi-objective optimization method to minimize both LCC and investment cost using a genetic algorithm targeting an office building which requires a large cooling load. The optimum method uses a two stage process to derive the system combination and the operation schedule by utilizing the input data of cooling and heating load profile and system performance characteristics calculated by dynamic energy simulation. The results were assessed by Pareto analysis and a number of Pareto optimal solutions were determined. Moreover, it was confirmed that the derived operation schedule was useful for operating the heat source systems efficiently against the building energy requirements. Consequently, the proposed optimization method is determined by a valid way if the design process is difficult to optimize.

#### Keywords

Optimization;Genetic algorithm;Life cycle cost;Pareto analysis

#### References

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#### Cited by

1. Study on the Optimum Design Method of Heat Source Systems with Heat Storage Using a Genetic Algorithm vol.9, pp.10, 2016, https://doi.org/10.3390/en9100849

#### Acknowledgement

Supported by : 한국에너지기술평가원(KETEP)