Optimal Control Strategies of a Heat Recovery System for a Building

Hyeong-Gon Jo¹, Young-Sub Kim¹, Jin-Hong Kim¹, Cheol-Soo Park¹, Eiji Urabe², Junghyon Mun², Yukung Shin², Yongsung Park²

1. Seoul National University
2. Samsung C&T

Published in Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024), edited by Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini, Farzad Rahimian and Mahesh Babu Purushothaman. Springer Nature, Lecture Notes in Civil Engineering, volume 591, 2025, pages 1225 to 1231. DOI 10.1007/978-981-96-4051-5_117.

Abstract

This paper presents a case study to develop optimal control strategies of a heat recovery system (HRS) of an existing large factory building. The target building operates multiple chillers even in winter to handle heat generated from manufacturing facilities, while simultaneously providing heated air for occupants. The HRS utilizes cooling water (35–40 ℃) from the chillers’ condensers to increase the water temperature (30–35 ℃) entering the heating coils. In order to develop optimal control strategies of the HRS, a physics-based simulation model was introduced to address the interwoven dynamic relationships between chillers, cooling towers, steam boilers, heat exchangers, and pumps. In other words, the simulation model was constructed in a federated fashion where all relevant inputs and outputs are interconnected to one another. Subsequently, two control strategies of the HRS were derived, optimal vs. simplified rule-based controls. It was found that the optimal control could save energy by 90.3% in the month of January (existing control: 1,378.0 MWh, optimal control: 134.6 MWh, simplified control: 138.4 MWh), while the difference between optimal vs. simplified controls exhibits marginal.

Keywords

Session

Presented in Track F, Friday 8 November 2024, 16:30 to 18:30, room WA 224 B, Auckland University of Technology. Session chair Dr Mani Poshdar.

How to Cite

Jo, H.-G., Kim, Y.-S., Kim, J.-H., Park, C.-S., Urabe, E., Mun, J., Shin, Y., & Park, Y. (2025). Optimal Control Strategies of a Heat Recovery System for a Building. In A. GhaffarianHoseini, A. GhaffarianHoseini, F. Rahimian, & M. B. Purushothaman (Eds.), Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024) (Lecture Notes in Civil Engineering, Vol. 591, pp. 1225–1231). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-4051-5_117

About the Conference

Presented at SASBE 2024, the International Conference on Smart and Sustainable Built Environment, held in Auckland from 7 to 9 November 2024 and chaired by Professors Ali and Amirhosein GhaffarianHoseini, founders of GDI Academy. The version of record is published by Springer Nature; this page is the conference archive record kept by GDI Academy.