Abstract
The total floor area and energy consumption of buildings or spaces requiring strict temperature and humidity control have been growing rapidly worldwide. A major challenge for achieving energy-efficient control of air-conditioning systems in such applications is the measurement uncertainties underlying the systems’ online optimal control decisions under ever-changing working conditions. This paper proposes a risk-based online robust optimal control strategy for multi-zone air-conditioning systems considering component performance degradation and measurement uncertainties. A risk-based online control decision scheme, as the core of the strategy, is developed for decision-making by compromising the failure risks and energy benefits of different control modes considering uncertainties in the information used. The proposed strategy is tested and implemented in a simulation platform based on an existing pharmaceutical industrial building. The results show that the proposed strategy made the optimal online control decisions, allowing for the measurement uncertainties. Compared with a commonly used control strategy, the proposed strategy achieved approximately 20% overall energy saving in the test period.
Original language | English |
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Article number | 114451 |
Journal | Applied Energy |
Volume | 261 |
DOIs | |
Publication status | Published - 1 Mar 2020 |
Keywords
- Air-conditioning
- Cleanroom
- Measurement uncertainty
- Online optimal control
- Risk-based control
ASJC Scopus subject areas
- Building and Construction
- General Energy
- Mechanical Engineering
- Management, Monitoring, Policy and Law