Thermal performance evaluation of low-income buildings based on indoor temperature performance. (1st July 2018)

• Record Type: Journal Article
• Authors: Lee, Junghun; Kim, Seohoon; Kim, Jonghun; Song, Doosam; Jeong, Hakgeun
• Is Part Of: Applied energy. Volume 221(2018)
• Page Start: 425
• Page End: 436
• Publication Date: 2018-07-01
• Subjects: Indoor temperature -- Performance-based method -- Building thermal performance diagnostics -- Envelope remodeling -- Low-income households; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2018.03.083
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Indoor temperature pattern can be similar even building conditions are different. If similar indoor temperature patterns occur, energy demand is also similar. Changes in energy demand are similar when window thermal performance is changed. Overall thermal performance of low-income buildings can be diagnosed. Databases can store remodeling plans using indoor temperature for future use. Abstract: In South Korea, about 40, 000 buildings of low-income households have been diagnosed and remodeled annually by the Energy Welfare Program, using the normative method. The normative method is based on the heat gain elements of a building. In contrast, the performance-based method is based on the output derived from the thermal performance of each building part. In the normative method, there is no other building in which the input conditions of a building are perfectly matched. Further, cost-effective energy remodeling strategies vary according to the capacity of the diagnosis engineer. In this paper, we analyze the thermal performance of buildings by the performance-based method using indoor temperature, and examine the possibility of a database for the optimal remodeling method. For this, we analyzed more than 2500 simulation cases by combining thermal performance of each building part. The indoor temperature pattern can be similar even when the thermal performance of each building part is different. In buildings with similar indoor temperature patterns, the coefficient of variation of the root mean squared error of energy demand falls within the acceptable error range. Furthermore, changes in energy demand and predicted mean vote are similar when window thermal performance is changed.