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Open AccessArticle

Estimation of Building Thermal Performance using Simple Sensors and Air Conditioners

1
Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama, Kanagawa 223-8522, Japan
2
Department of System Design Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama, Kanagawa 223-8522, Japan
*
Author to whom correspondence should be addressed.
Energies 2019, 12(15), 2950; https://doi.org/10.3390/en12152950
Received: 9 June 2019 / Revised: 7 July 2019 / Accepted: 29 July 2019 / Published: 31 July 2019
(This article belongs to the Special Issue Sustainable Energy Consumption)
Energy and environmental problems have attracted attention worldwide. Energy consumption in residential sectors accounts for a large percentage of total consumption. Several retrofit schemes, which insulate building envelopes to increase energy efficiency, have been adapted to address residential energy problems. However, these schemes often fail to balance the installment cost with savings from the retrofits. To maximize the benefit, selecting houses with low thermal performance by a cost-effective method is inevitable. Therefore, an accurate, low-cost, and undemanding housing assessment method is required. This paper proposes a thermal performance assessment method for residential housing. The proposed method enables assessments under the existing conditions of residential housings and only requires a simple and affordable monitoring system of power meters for an air conditioner (AC), simple sensors (three thermometers at most), a BLE beacon, and smartphone application. The proposed method is evaluated thoroughly by using both simulation and experimental data. Analysis of estimation errors is also conducted. Our method shows that the accuracy achieved with the proposed three-room model is 9.8% (relative error) for the simulation data. Assessments on the experimental data also show that our proposed method achieved Ua value estimations using a low-cost system, satisfying the requirements of housing assessments for retrofits. View Full-Text
Keywords: building thermal performance assessment; Ua-value; system identification; performance gap; smart home; house energy management system (HEMS) building thermal performance assessment; Ua-value; system identification; performance gap; smart home; house energy management system (HEMS)
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MDPI and ACS Style

Sakuma, Y.; Nishi, H. Estimation of Building Thermal Performance using Simple Sensors and Air Conditioners. Energies 2019, 12, 2950. https://doi.org/10.3390/en12152950

AMA Style

Sakuma Y, Nishi H. Estimation of Building Thermal Performance using Simple Sensors and Air Conditioners. Energies. 2019; 12(15):2950. https://doi.org/10.3390/en12152950

Chicago/Turabian Style

Sakuma, Yuiko; Nishi, Hiroaki. 2019. "Estimation of Building Thermal Performance using Simple Sensors and Air Conditioners" Energies 12, no. 15: 2950. https://doi.org/10.3390/en12152950

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