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A novel cyber-physical system for the optimal heating-cooling of buildings

Barzegar, M ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1109/TASE.2023.3335090
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2023
  4. Abstract:
  5. This paper presents a novel Cyber-Physical System (CPS) equipped with an advanced Distributed Model Predictive Control (DMPC) method with reduced order computational complexity, zero steady-state error, reduced start-up energy consumption and improved transient response for the optimal heating-cooling of buildings. The satisfactory application of this method for the optimal heating-cooling of a large-scale (6-story) building with 40 rooms is illustrated. Smart Industrial Internet of Things (IIoT) -based thermostats, a gateway and a general Quadratic Programming (QP) solver are developed. Using this hardware set-up, the simulation results for the 6-story building are verified in a small scale by practical implementation. Note to Practitioners—This paper proposes a novel cyber-physical system for the optimal heating-cooling of large-scale buildings. The proposed system is practical, in particular, for large-scale buildings because for its realization, we do not need mighty and therefore expensive computer servers to execute required optimization problems in real-time. It also has high reliability and resilience due to its distributed computation nature and can be realized using available and cost-effective On-Off electric valves. To implement this system, a general QP solver, smart IIoT-based thermostats and a gateway are designed, developed and implemented in a building for the optimal heating and cooling. The satisfactory performance and superiority of the proposed system in terms of zero steady-state error, transient response, applicability for both heating and cooling systems and limited start-up energy consumption over the traditional as well as more advanced systems are illustrated by simulation and practical implementation. IEEE
  6. Keywords:
  7. Building automation and control ; Buildings ; Cyber-physical system ; Distributed model predictive control ; Energy consumption ; Heating systems ; HVAC ; Industrial Internet of Things ; Steady-state ; Weather forecasting
  8. Source: IEEE Transactions on Automation Science and Engineering ; 2023 , Pages 1-12 ; 15455955 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/10329334