Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 태성호 | - |
dc.date.accessioned | 2020-01-15T06:49:24Z | - |
dc.date.available | 2020-01-15T06:49:24Z | - |
dc.date.issued | 2019-06 | - |
dc.identifier.citation | ENERGIES, v. 12, No. 12, Article no. 2313 | en_US |
dc.identifier.issn | 1996-1073 | - |
dc.identifier.uri | https://www.mdpi.com/1996-1073/12/12/2313 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/121874 | - |
dc.description.abstract | With the Paris Agreement entering into full force, South Korea must submit its target greenhouse gas emissions for commercial buildings by 2030 to the United Nations Framework Convention on Climate Change. To determine this target, the annual energy demands must be forecasted through appropriate models; the development of these models is the focus of our study. We developed a system to calculate energy demand forecasts by searching for suitable methods. We built distinct energy forecast models for petroleum, city gas, electricity, heat, and renewable energies. The results show that the most appropriate variable for the petroleum energy model is energy trend. Moreover, the annual increase rate of petroleum energy demand from 2019 to 2030 was forecasted to be -1.7%. The appropriate variable for city gas energy model was the floor area of commercial buildings, which was forecasted to increase at an annual average growth rate of 0.4% from 2019 to 2030. According to the forecast results of energy demand from 2019 to 2030, the annual average growth rates of electricity, heat, and renewable energy demands were 2.1%, -0.2%, and 1.3%, respectively. | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2015R1A5A1037548). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI | en_US |
dc.subject | commercial building energy | en_US |
dc.subject | energy model | en_US |
dc.subject | demand forecast | en_US |
dc.title | Energy Demand Forecast Models for Commercial Buildings in South Korea | en_US |
dc.type | Article | en_US |
dc.relation.no | 12 | - |
dc.relation.volume | 12 | - |
dc.identifier.doi | 10.3390/en12122313 | - |
dc.relation.page | 2313-2331 | - |
dc.relation.journal | ENERGIES | - |
dc.contributor.googleauthor | Ha, Sungkyun | - |
dc.contributor.googleauthor | Tae, Sungho | - |
dc.contributor.googleauthor | Kim, Rakhyun | - |
dc.relation.code | 2019037058 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DIVISION OF ARCHITECTURE | - |
dc.identifier.pid | jnb55 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.