Next Article in Journal
Experimental Investigation of Methane Hydrate Induction Time in the Presence of Cassava Peel as a Hydrate Inhibitor
Next Article in Special Issue
Thermal Assessment of a Novel Drywall System Insulated with VIPs
Previous Article in Journal
Exploring Economic Criteria for Energy Storage System Sizing
Previous Article in Special Issue
Optimal Operation of Building Microgrids with Rooftop Greenhouse Under Component Outages in Islanded Mode
Open AccessArticle

Energy Demand Forecast Models for Commercial Buildings in South Korea

by 1, 2,* and 3,*
1
Architectural Engineering, Hanyang University, 55 Hanyangdaehak-ro, Sangrok-gu, Ansan 15588, Korea
2
Department of Architecture & Architectural Engineering, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan 15588, Korea
3
Sustainable Building Research Center, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan 15588, Korea
*
Authors to whom correspondence should be addressed.
Energies 2019, 12(12), 2313; https://doi.org/10.3390/en12122313
Received: 23 April 2019 / Revised: 23 May 2019 / Accepted: 12 June 2019 / Published: 17 June 2019
(This article belongs to the Special Issue Sustainable Use of Energy in Buildings)
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. View Full-Text
Keywords: commercial building energy; energy model; demand forecast commercial building energy; energy model; demand forecast
Show Figures

Figure 1

MDPI and ACS Style

Ha, S.; Tae, S.; Kim, R. Energy Demand Forecast Models for Commercial Buildings in South Korea. Energies 2019, 12, 2313.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop