Analysis of the Energy Performance of a Retrofitted Low-Rise Residential Building after an Energy Audit

Abdulhameed Babatunde Owolabi, Abdullahi Yahaya, Hong Xian Li and Dongjun Suh ()
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Abdulhameed Babatunde Owolabi: Regional Leading Research Center for Smart Energy System, Kyungpook National University, Sangju 37224, Republic of Korea
Abdullahi Yahaya: Department of Convergence & Fusion System Engineering, Kyungpook National University, Sangju 37224, Republic of Korea
Hong Xian Li: School of Architecture and Built Environment, Deakin University, Geelong Waterfront Campus, Geelong 3220, Australia
Dongjun Suh: Department of Convergence & Fusion System Engineering, Kyungpook National University, Sangju 37224, Republic of Korea

Sustainability, 2023, vol. 15, issue 16, 1-19

Abstract: The main reason for this research is to support the Korean government building retrofitting program initiated to evaluate energy usage trends, propose energy-saving technologies, and focus on reducing the energy demand in residential buildings through energy efficiency improvement. This is achieved by assessing the energy saved after introducing a simple retrofitting measure to an existing residential building. The energy savings in the building were realized after collecting relevant data from the house occupants, analyzing electricity bills, and introducing energy conservation measures (ECMS), leading to an improvement in the energy performance of the building. The building envelope saved 2098 kWh and 6307 kWh of energy via the heating and cooling equipment with an initial incremental cost of USD 500, fuel cost savings of USD 306, and a simple payback of 1.6 years. The analysis takes the occupants 2.6 years to recoup the initial cost of USD 2400 invested with an electricity savings of 2144 kWh. Also, 3.3 tons of CO 2 emissions per year were reduced, equivalent to 3.3 people reducing energy use by 20%. Finally, the actual and simulated data are almost the same for the consumption period, with only a slight difference in October and December, given 0.92 as the Pearson Correlation coefficients.

Keywords: energy audit; energy saved; regression analysis; building performance; RETScreen Expert software (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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