Residential Energy Consumption-A Computational Bibliometric Analysis
Author(s): |
Daniela I. Quintana
José M. Cansino |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 23 May 2023, n. 6, v. 13 |
Page(s): | 1525 |
DOI: | 10.3390/buildings13061525 |
Abstract: |
This paper conducted a systematic literature review (SLR) of peer-review documents focused on residential energy consumption. The main finding of this SLR derived from its computational implementation, filling a gap in the available literature. The paper had two main objectives: (i) the SLR itself; and (ii) to systematically identify the main policy measures oriented at reducing energy consumption recommended by the available literature and its related greenhouses gas emissions. A significant lack of a connection between scientific fields was identified. The fields of energy, engineering and environmental science are those that have addressed these topics the most. The sub-field with the largest presence is energy, with 29.5%, followed by engineering (23.9%) and the environment (21.3%). It is recommended that this gap be bridged because many of the main political measures in force to reduce residential energy consumption come from economics and need to be explored from a social science perspective to choose those measures that are more cost-effective. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10732853 - Published on:
04/08/2023 - Last updated on:
07/08/2023