ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Dynamic Temporal Analysis and Modeling of Residential Lighting Consumption for Energy Efficiency and Sustainability
Cited 0 time in scopus Download 40 time Share share facebook twitter linkedin kakaostory
Authors
Anam Nawaz Khan, Qazi Waqas Khan, Junhee Lee, Rashid Ahmad, Misbah Bibi, Dae Ho Kim, Jung-Sik Sung, Do-Hyeun Kim
Issue Date
2024-10
Citation
IEEE Access, v.12, pp.154365-154380
ISSN
2169-3536
Publisher
Institute of Electrical and Electronics Engineers Inc.
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/ACCESS.2024.3467337
Abstract
Buildings constitute a significant portion of global energy demand, accounting for approximately 30% of final energy consumption and over 50% of global electricity usage. As per the International Energy Agency, this sector is responsible for 26% of energy-related emissions, with demand projected to increase by 4% in 2024, as per the International Energy Agency. Lighting is a critical component of this consumption and continues to be a major contributor to electricity use. A marked increase in residential lighting energy consumption in South Korea underscores these global trends. Traditional building energy models must address human behavior's complexity, often relying on static schedules. This study leverages statistical and machine learning techniques to analyze lighting energy consumption across varying temporal scales, using real empirical data from South Korean residential buildings. The analysis reveals insights into behavior-driven energy consumption, highlighting the necessity for dynamic energy modeling that integrates occupant behavioral variability for energy use, their intrinsic routines, and temporal patterns. The findings have profound implications for enhancing energy efficiency and optimizing conservation strategies in escalating global energy demands.
KSP Keywords
Behavioral variability, Building Energy, Conservation strategies, Critical component, Dynamic Energy Modeling, Electricity use, Energy demand, Energy efficiency, Energy use, Global Energy, International Energy Agency
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC ND)
CC BY NC ND