Comparative Analysis of Energy Use and Human Comfort by an Intelligent Control Model at the Change of Season

Sung Hoon Yoon and Jonghoon Ahn
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Sung Hoon Yoon: Department of Architecture, Cheongju University, Cheongju 28503, Korea
Jonghoon Ahn: School of Architecture and Design Convergence, Hankyong National University, Anseong 17579, Korea

Energies, 2020, vol. 13, issue 22, 1-15

Abstract: For improving control methods in the thermal environment, various algorithms have been studied to satisfy the specific conditions required by the characteristics of building spaces and to reduce the energy consumed in operation. In this research, a network-based learning control equipped with an adaptive controller is proposed to investigate the control performance for supply air conditions with maintaining the levels of indoor thermal comfort. In order to examine its performance, the proposed model is compared to two different models in terms of the patterns of heating and cooling energy use and the characteristics of operational signals and overshoots. As a result, the energy efficiency of the proposed control has been slightly decreased due to the energy consumption increased by precise controls, but the thermal comfort has improved by about 10.7% more than a conventional thermostat and by about 19.8% more than a deterministic control, respectively. This result can contribute to the reduction of actual installation and maintenance costs by reducing the operating time of dampers and the energy use of heating coils without compromising indoor thermal comfort.

Keywords: energy transfer; thermal comfort; artificial neural network; adaptive controller; changing season (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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