2019
DOI: 10.3390/en12050827
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A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study

Abstract: Large buildings cause more than 20% of the global energy consumption in advanced countries. In buildings such as hospitals, cooling loads represent an important percentage of the overall energy demand (up to 44%) due to the intensive use of heating, ventilation and air conditioning (HVAC) systems among other key factors, so their study should be considered. In this paper, we propose a data-driven analysis for improving the efficiency in multiple-chiller plants. Coefficient of performance (COP) is used as energ… Show more

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Cited by 15 publications
(8 citation statements)
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“…Additionally, the integration and deployment of fault detection and diagnostics (FDD) tools have been proven to significantly enable reliable HVAC system operation and decrease energy consumption (Akindote et al, 2024;Chen et al, 2021). Furthermore, rule-based management strategies, performance monitoring tools, and model-based predictive control have been outlined as outstanding methods for intelligent HVAC control to enhance energy efficiency (Alonso et al, 2019;Ohenhen et al, 2024;Ezeigweneme et al, 2024). These tools decrease the time and skill level required to carry out necessary quality assurance measures, enabling more thorough testing of HVAC systems (Milesi-Ferretti et al, 2016;.…”
Section: Potential Benefits and Challengesmentioning
confidence: 99%
“…Additionally, the integration and deployment of fault detection and diagnostics (FDD) tools have been proven to significantly enable reliable HVAC system operation and decrease energy consumption (Akindote et al, 2024;Chen et al, 2021). Furthermore, rule-based management strategies, performance monitoring tools, and model-based predictive control have been outlined as outstanding methods for intelligent HVAC control to enhance energy efficiency (Alonso et al, 2019;Ohenhen et al, 2024;Ezeigweneme et al, 2024). These tools decrease the time and skill level required to carry out necessary quality assurance measures, enabling more thorough testing of HVAC systems (Milesi-Ferretti et al, 2016;.…”
Section: Potential Benefits and Challengesmentioning
confidence: 99%
“…Multiple linear regression analysis is introduced to analyze factors affecting energy consumption, which leads to the baseline setting analysis of energy consumption of large hospital buildings. Alonso et al [24] proposed a data-driven analysis for improving the efficiency in multiple-chiller plants of a hospital. Data analysis, based on aggregation operations, filtering and data projection, allows obtaining knowledge from chillers and the whole plant, in order to define and tune management rules.…”
Section: Related Workmentioning
confidence: 99%
“…Buildings account for the majority of energy consumption worldwide [3][4][5]. For industrialized countries, energy consumption of buildings could range from 42 up to 45% [6][7][8].…”
Section: Introductionmentioning
confidence: 99%