A Holistic Review of Building Energy Efficiency and Reduction Based on Big Data

Author:

Lim Jeeyoung,Kim Joseph J.ORCID,Kim SunkukORCID

Abstract

The construction industry is recognized as a major cause of environmental pollution, and it is important to quantify and evaluate building energy. As interest in big data has increased over the past 20 years, research using big data is active. However, the links and contents of much literature have not been summarized, and systematic literature studies are insufficient. The objective of this study was a holistic review of building energy efficiency/reduction based on big data. This review study used a holistic analysis approach method framework. As a result of the analysis, China, the Republic of Korea, and the USA had the most published papers, and the simulation and optimization area occupied the highest percentage with 33.33%. Most of the researched literature was papers after 2015, and it was analyzed because many countries introduced environmental policies after the 2015 UN Conference on Climate Change. This study can be helpful in understanding the current research progress to understand the latest trends and to set the direction for further research related to big data.

Funder

National Research Foundation of Korea

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference96 articles.

1. Perception of Teachers about Implementation of Oral Health Education in Primary School Curriculum

2. Working Group I Contribution to the IPCC Fifth Assessment Report Climate Change 2013,2013

3. The pollution and economic growth based on the multi-country comparative analysis;Jung;J. Ind. Econ. Bus.,2004

4. Energy use in the life cycle of conventional and low-energy buildings: A review article

5. Dynamic Optimization Model for Estimating In-Situ Production Quantity of PC Members to Minimize Environmental Loads

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