Experimental and Co-Simulation Performance Evaluation of an Earth-to-Air Heat Exchanger System Integrated into a Smart Building

Abdelhak Kharbouch, Soukayna Berrabah, Mohamed Bakhouya, Jaafar Gaber, Driss El Ouadghiri and Samir Idrissi Kaitouni
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Abdelhak Kharbouch: LERMA Lab, College of Engineering, The International University of Rabat, Technopolis Rabat-Shore Rocade Rabat-Salé, Sala El Jadida 11100, Morocco
Soukayna Berrabah: LERMA Lab, College of Engineering, The International University of Rabat, Technopolis Rabat-Shore Rocade Rabat-Salé, Sala El Jadida 11100, Morocco
Mohamed Bakhouya: LERMA Lab, College of Engineering, The International University of Rabat, Technopolis Rabat-Shore Rocade Rabat-Salé, Sala El Jadida 11100, Morocco
Jaafar Gaber: Univ. Bourgogne Franche-Comté, UTBM, FEMTO-ST UMR CNRS 6174, 25000 Belfort, France
Driss El Ouadghiri: I&A Laboratory, Department of Computer Science, Faculty of Science, Moulay Ismail University of Meknès, 11201 Zitoune, Meknès 50070, Morocco
Samir Idrissi Kaitouni: Faculté Des Sciences et Techniques, Abdelmalek Essaadi University, B.P. 416 Tangier, Tétouan 93000, Morocco

Energies, 2022, vol. 15, issue 15, 1-22

Abstract: Building models and their connected subsystems are often simulated as standalone entities. However, in order to monitor a system′s reactions to changing parameters and to assess its energy efficiency, it must be exposed to the actual dynamic context of the building under study. Hence, frameworks assessing co-operative simulation of buildings and their subsystems should be used. In this study, the Building Control Virtual Test Bed (BCVTB) framework was used for co-simulation of a small-scale building (EEBLab) connected to an Earth-to-air heat exchanger (EAHE). The EnergyPlus tool was used to simulate the indoor air temperature variations within the EEBLab, and MATLAB was used to model the EAHE system and to calculate its performance based on various parameters. The HOLSYS internet of things platform was deployed to monitor and collect the experimental data from the sensors to validate the simulations. A favorable agreement between the experimental and simulation results was obtained, showing the contribution of the small-scale EAHE system in maintaining a comfortable indoor temperature range inside EEBLab. Moreover, it demonstrated the effectiveness and accuracy of the proposed approach for integrated building co-simulation and performance evaluation.

Keywords: co-simulation; BCVTB; energy efficiency; EAHE; internet of things; economic analysis; system optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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