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.
| Original language | English |
|---|---|
| Article number | 2273 |
| Pages (from-to) | 1-18 |
| Number of pages | 18 |
| Journal | Sustainability (Switzerland) |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2 Feb 2021 |
Bibliographical note
Publisher Copyright:© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Big data
- Building energy
- Building energy efficiency
- Building energy reduction
- Holistic review
- Literature review
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