Open Access

ARTICLE

Energy Efficient Thermal Comfort Control for Residential Building Based on Nonlinear EMPC

by Xucheng Chang^1,*, Bing Kong², Yong Li¹, Gaofeng Ren¹, Chao Zhang¹, Zhenghe Wang¹

1 Zhengzhou University of Aeronautics, Zhengzhou, 450046, China
2 Zhengzhou Technical College, Zhengzhou, 450010, China

* Corresponding Author: Xucheng Chang. Email:

Energy Engineering 2022, 119(5), 1941-1966. https://doi.org/10.32604/ee.2022.020698

Received 17 November 2021; Accepted 28 January 2022; Issue published 21 July 2022

Abstract

For purpose of achieving the desired thermal comfort level and reducing the economic cost of maintaining the thermal comfort of green residential building, an energy efficient thermal comfort control strategy based on economic model predictive control (EMPC) for green residential buildings which adopts household heat metering is presented. Firstly, the nonlinear thermal comfort model of heating room is analyzed and obtained. A practical nonlinear thermal comfort prediction model is obtained by using an approximation method. Then, the economic cost function and optimization problem of energy-saving under the necessary thermal comfort requirements are constructed to realize the optimal economic performance of the dynamic process. The energy efficient thermal comfort MPC (EETCMPC) is designed. Finally, the comparison and analysis between EETCMPC and Double-layer Model Predictive Control (DMPC) is simulated. The simulation results reveal that when the clothing insulation is typical, the energy efficiency of EETCMPC is 8.9% and 11.6%, respectively, in the two simulation scenarios. When the clothing insulation varies with temperature, the energy efficiency of EETCMPC is 7.29% and 9.15%, respectively, and the total energy consumption is reduced by about 1.65% and 14.6%, respectively, compared with the typical clothing insulation. The economic performance is improved in the thermal comfort dynamic process of heating room.

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Keywords

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