What drove electricity consumption in the residential sector during the SARS-CoV-2 confinement? A special focus on university students in southern Spain

Muñoz-Repiso, José Manuel Cansino; Dugo, Víctor; Ruiz, David Gálvez; Collado, Rocío Román

doi:10.1016/j.energy.2022.125467

Cited by 5 publications

(5 citation statements)

References 63 publications

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“…Table 13 represents the main determinant of EC in HEIs according to the documents studied. The results obtained do not differ from those found in the literature for buildings serving other sectors [50][51][52]. These factors are often interrelated and will be discussed in Section 4.3.…”

Section: Factors Driving Ec In Universitiessupporting

confidence: 59%

Energy Consumption in Higher Education Institutions: A Bibliometric Analysis Focused on Scientific Trends

Laporte,

Cansino

2024

Buildings

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While universities are expected to exemplify sustainable practices, they often encounter high energy demands. This dichotomy highlights the necessity for research into their energy consumption. Through a Systematic Literature Review, we examined international research trends in this field and explored factors influencing energy consumption. The importance of this article stems from its novel approach to energy consumption in universities, addressed from a global and comprehensive perspective, offering generalizable insights. Additionally, it pioneers in the use of a market concentration indicator (Herfindahl–Hirschman index) to measure the level of diversity in various bibliometric aspects. The extended perspective of our approach helps to close knowledge gaps about scientific trends and common energy consumption factors. Our results show that this topic has been investigated with limited involvement of social sciences. Building function, research intensity, and disciplinary orientation are distinctive factors in energy consumption in this field. Most influential authors, countries, and journals in this area were identified. This analysis contributes academically, by mapping research trends and providing guidance for future studies; practically, by offering insights for educational administrators on common factors affecting energy consumption; and in terms of policy, by advocating for the promotion of social sciences-based investigations on the topic.

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Section: Factors Driving Ec In Universitiessupporting

confidence: 59%

Energy Consumption in Higher Education Institutions: A Bibliometric Analysis Focused on Scientific Trends

Laporte,

Cansino

2024

Buildings

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Section: Factors Driving Ec In Universitiessupporting

confidence: 50%

“…Table 5 displays the leading countries (three or more articles) among the papers selected, and their percentage contribution to the set of selected articles. These values are compared with countries' percentage contribution to all articles (26,345,327) indexed in the WOS Database (2008-2022) and all documents (45,339,374) in the Scopus Database (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021)(2022) in the same time span as that for the selected publications. Table 5 is ordered by the number of articles selected from the Scopus database, since it contains 174 of the 175 documents selected, with this value being a proxy for the total contribution of each country 5 .…”

Section: Leading Countries Universities and Authorsmentioning

confidence: 99%

Energy Consumption in Higher Education Institutions. A Computational Bibliometric Analysis Focused on Scientific Trends and Common Drivers

Laporte,

Cansino

2023

Preprint

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“…Table 1 shows the keywords used for the SLR. These keywords were chosen based on [5]. These authors show that the specialised literature considers four main groups of factors to explain household energy consumption.…”

Section: Methodsmentioning

confidence: 99%

“…Column 1 of Table 1 details the search criteria. A keyword added to those proposed by [5] is economics. In this sense, for example, [6] approach energy poverty by cross-referencing data on economic vulnerability and household disposable income.…”

Section: Methodsmentioning

confidence: 99%

Residential Energy Consumption-A Computational Bibliometric Analysis

Quintana

Muñoz-Repiso

2023

Buildings

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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.

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What drove electricity consumption in the residential sector during the SARS-CoV-2 confinement? A special focus on university students in southern Spain

Cited by 5 publications

References 63 publications

Energy Consumption in Higher Education Institutions: A Bibliometric Analysis Focused on Scientific Trends

Energy Consumption in Higher Education Institutions: A Bibliometric Analysis Focused on Scientific Trends

Energy Consumption in Higher Education Institutions. A Computational Bibliometric Analysis Focused on Scientific Trends and Common Drivers

Residential Energy Consumption-A Computational Bibliometric Analysis

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