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

Jeeyoung Lim,Sunkuk Kim,Joseph J Kim

doi:10.3390/su13042273

Jeeyoung Lim, Sunkuk Kim + Show 1 more

Open Access

https://doi.org/10.3390/su13042273

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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.

Highlights

Kardinal Jusuf and Soh Chew BengDue to climate change [1], problems such as heat waves, drought, and sea-level rise are occurring [2]
Building energy plays a key role in the energy sector, as building energy accounts for more than 40% of global energy use and greenhouse gases account for 40–50% of global energy [6]
Park et al (2016) studied correlation analysis between the information that can be extracted in the road planning stage and the environmental load computed through life cycle assessment using the data of national highway construction cases [11]

Summary

Introduction

Kardinal Jusuf and Soh Chew BengDue to climate change [1], problems such as heat waves, drought, and sea-level rise are occurring [2]. For research on building energy reduction and environmental load minimization, Trabucco and Wood (2016) created an energy-efficient design with high sustainability and low energy consumption to address the energy problem of tall buildings at each stage of the building life cycle [9]. Lee et al (2018) developed and validated an environmental load estimating model for the new Austrian tunneling method tunnel based on the standard quantity of major works in the early design phase [7]. These papers applied life cycle cost or environmental valuation methodology to construct a system to reduce building energy and minimize environmental load

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