Model predictive control for a university heat prosumer with data centre waste heat and thermal energy storage

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

8 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number126579
Journal / PublicationEnergy
Volume267
Online published2 Jan 2023
Publication statusPublished - 15 Mar 2023

Abstract

Data centres (DCs) are energy-intensive facilities that convert most of their energy use into waste heat. Given the rapidly increasing energy and environmental impacts of DCs, and the need to optimize regional energy structures, there is an increasing effort to recover DC waste heat for district heating (DH) systems. However, previous research mainly focused on exploring the possibilities and proposing technical solutions for capturing DC waste heat for DH systems. They rarely investigated solutions on optimal control of the DH system after recovering DC waste heat, particularly for a DC waste heat-based heat prosumer with thermal energy storage (TES). Therefore, this study applied a model predictive control (MPC) scheme for a university heat prosumer with DC waste heat and water tank TES by simulation. In the framework, the objective function minimized the overall energy cost considering the dynamic heating and electricity prices simultaneously, and the incorporated model described system dynamics including DC waste heat recovery units, TES, and campus DH system. The MPC framework was demonstrated to be more effective than a traditional rule-based control approach in terms of 1) providing more stable chilled water for the DC cooling system and 2) cutting monthly energy costs by up to 3.2%.

Research Area(s)

  • Distributed heat source, District heating system, Economic boundary, Energy cost, Optimal control

Citation Format(s)

Model predictive control for a university heat prosumer with data centre waste heat and thermal energy storage. / Hou, Juan; Li, Haoran; Nord, Natasa et al.
In: Energy, Vol. 267, 126579, 15.03.2023.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review