Buffa, Simone and Fouladfar, Mohammad Hossein and Franchini, Giuseppe and Lozano Gabarre, Ismael and Andrés Chicote, Manuel (2021) Advanced Control and Fault Detection Strategies for District Heating and Cooling Systems—A Review. Applied Sciences, 11 (1). p. 455. ISSN 2076-3417
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Abstract
Peak shaving, demand response, fast fault detection, emissions and costs reduction are some of the main objectives to meet in advanced district heating and cooling (DHC) systems. In order to enhance the operation of infrastructures, challenges such as supply temperature reduction and load uncertainty with the development of algorithms and technologies are growing. Therefore, traditional control strategies and diagnosis approaches cannot achieve these goals. Accordingly, to address these shortcomings, researchers have developed plenty of innovative methods based on their applications and features. The main purpose of this paper is to review recent publications that include both hard and soft computing implementations such as model predictive control and machine learning algorithms with applications also on both fourth and fifth generation district heating and cooling networks. After introducing traditional approaches, the innovative techniques, accomplished results and overview of the main strengths and weaknesses have been discussed together with a description of the main capabilities of some commercial platforms.
Item Type: | Article |
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Subjects: | Library Eprints > Engineering |
Depositing User: | Managing Editor |
Date Deposited: | 19 Nov 2022 03:50 |
Last Modified: | 11 Jul 2024 04:50 |
URI: | http://news.pacificarchive.com/id/eprint/288 |