A data-driven approach for establishing a CO2 emission benchmark for a multi-family housing complex using data mining techniques. (March 2021)

• Record Type: Journal Article
• Authors: Jeong, Kwangbok; Hong, Taehoon; Kim, Jimin; Lee, Jaewook
• Is Part Of: Renewable & sustainable energy reviews. Volume 138(2021)
• Publication Date: 2021-03
• Subjects: CO2 emissions benchmark -- Operational rating system -- Data mining techniques -- Decision tree -- Multi-family housing complex; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2020.110497
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: To reduce CO2 emissions in the building sector, South Korea uses an operational rating system, an indicator for evaluating CO2 emission performance. To conduct a reasonable operational rating, it is necessary to develop a rational and reliable CO2 emission (CE) benchmark for buildings. The conventional CE benchmarks, however, have limitations accounting for regional differences of multi-family housing complexes (MFHCs). Thus, a separate CE benchmark is required for each region for improving the rationale and reliability of the conventional CE benchmarks. To solve this problem, a data-driven approach for establishing a CE benchmark using data mining techniques was applied in this study. Data on a total of 1, 212 MFHCs were established, and a total of 11 CE benchmarks (central region: 7; southern region: 4) for MFHCs were established based on the decision tree. The developed CE benchmarks were then validated using statistical methods (Mann-Whitney test, Kruskal-Wallis test, etc.). Compared to the average operational rating based on conventional CE benchmarks, the average operational rating based on the newly developed CE benchmarks decreased by 1.85% in the central region, and increased by 5.19% in the southern region, respectively. This means that the unreliability and irrationality of the conventional operational rating system (ORS) can be solved by the established ORS. The established ORS, based on the newly developed CE benchmarks, can help policymakers select and manage MFHCs with poor CE performance. Highlights: The CO2 emissions benchmarks were developed considering regional differences. A total of 1, 212 buildings were classified into 11 groups using a decision tree. The CO2 emission benchmarks were validated using statistical methods. New operational rating system solved the irrationality and unreliability problems. This study can help policymakers manage the building with poor CO2 emissions.