Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system
Autor: | Gregor P. Henze, Man Pun Wan, Shiyu Yang, Krishnamoorthy Baskaran, Wanyu Chen, Swapnil Dubey, Bing Feng Ng |
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Přispěvatelé: | School of Mechanical and Aerospace Engineering, Energy Research Institute @ NTU (ERI@N) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Building management system
Flexibility (engineering) Computer science business.industry 020209 energy Mechanical Engineering Thermal comfort 02 engineering and technology Building and Construction Management Monitoring Policy and Law Dedicated outdoor air system Automotive engineering Model predictive control General Energy 020401 chemical engineering Air conditioning 0202 electrical engineering electronic engineering information engineering Mechanical engineering [Engineering] 0204 chemical engineering Separate Sensible and Latent Cooling business Energy (signal processing) Model Predictive Control Efficient energy use |
Popis: | Using separate cooling coils for sensible and latent loads provide extra control flexibility to optimise the energy efficiency and comfort in air-conditioning and mechanical ventilation (ACMV) systems. A popular implementation of such technology is dedicated outdoor air system (DOAS)-assisted separate sensible and latent cooling (SSLC) systems. However, a sophisticated control technique is needed to coordinate the control of multiple cooling coils in such systems. This paper presents a novel model predictive control (MPC) developed for a DOAS-assisted SSLC system. The MPC adopts a linear state-space model that captures building thermodynamics, thermal comfort and ACMV for building response prediction and optimization. Subsequently, a multi-objective cost function is employed to optimize energy use and thermal comfort while fulfilling constraints of predicted mean vote (PMV) (-0.5, 0.5) and relative humidity (0%, 65%) in buildings. The performance of the MPC for controlling a conventional single-coil air-handling unit (AHU) system and a DOAS-assisted SSLC system is experimentally investigated and compared to a conventional feedback-control-based building management system (BMS). The MPC system achieved 18% and 20% electricity savings for the single-coil AHU and DOAS-assisted SSLC, respectively, as compared to the BMS controlled single-coil AHU. Furthermore, indoor thermal comfort is significantly improved, compared to the BMS. DOAS-assisted SSLC is shown to be advantageous compared to single-coil AHU to achieve better indoor environment in terms of thermal comfort and humidity, when both systems are controlled by MPC. Building and Construction Authority (BCA) National Research Foundation (NRF) Accepted version This research is supported by the National Research Foundation (NRF) of Singapore through the Building and Construction Authority (BCA) under the Green Buildings Innovation Cluster (GBIC) grant no. NRF2015ENC-GBICRD001-020. T |
Databáze: | OpenAIRE |
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