Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis

Copyright (c) 2024 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE) Creative Commons License. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Detalhes bibliográficos
Autores: Ali, S.S.S., Kasavan, S., Razman, M.R., Zarco Periñán, Pedro Javier
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/161967
Acesso em linha:https://hdl.handle.net/11441/161967
https://doi.org/10.61435/ijred.2024.60267
Access Level:acceso abierto
Palavra-chave:Electricity Consumption Breakdowns
Key Performance Indicators (KPIs)
Potential Electricity Saving
Cost Saving
Emissions Reduction
5-Star Energy Efficiency
id ES_f5aed777bef4e69330f17a803bf743b2
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network_name_str España
repository_id_str
spelling Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysisAli, S.S.S.Kasavan, S.Razman, M.R.Zarco Periñán, Pedro JavierElectricity Consumption BreakdownsKey Performance Indicators (KPIs)Potential Electricity SavingCost SavingEmissions Reduction5-Star Energy EfficiencyCopyright (c) 2024 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE) Creative Commons License. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.Despite growing public, academic, and government awareness of the energy consumption issue, there is still little research on the scales and patterns of Household Electricity Consumption (HEC), particularly in developing countries such as Malaysia. Therefore, the present study examines the status of HEC using electricity consumption breakdowns, key performance indicators (KPIs) for electricity consumption and Material Flow Analysis (MFA) by showing potential electricity savings, cost savings, and emission reductions using 5-star energy efficiency appliances. This study used a face-to-face survey of 400 participants in Seremban, the capital city of Negeri Sembilan. The study found that the majority of respondents (49%) consumed about 300-600 kWh/month of electricity with an estimated cost of MYR231.80 per month. Additionally, the study found that households in flats recorded lower average electricity consumption (460.16 kWh/unit) than bungalow households (885.92 kWh/unit) due to respondents’ socio-economic status, the physical size of the houses and the number of appliances owned. The study also revealed that the average energy consumption was higher for refrigerators (9.6 kWh/day) and air conditioners (4.5 kWh/day) due to the use of large amounts of energy to maintain a steady temperature. The material flow analysis shows that energy savings were approximately 22.53%, potential cost savings were MYR12,676.15 per month, and the potential reduction emissions were about 100,759.92 kgCO2e for one month with using EEA compared to non-EEA. The present study empirically discussed the significance of HEC quantification and the opportunity for energy efficiency is critical as a solution for sustainable urban metabolism in a developing countryManagement and Science University (MSU) MPCG-010-022023-FBMPMinistry of Higher Education (MoHE) of Malaysia FRGS/1/2022/SS07/UUM/02/6Center of Biomass and Renewable Energy (CBIORE)Ingeniería Eléctrica2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/11441/161967https://doi.org/10.61435/ijred.2024.60267reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésInternational Journal of Renewable Energy Development, 13 (5), 960-973.https://ijred.cbiore.id/index.php/ijred/article/view/60267info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1619672026-06-17T12:51:07Z
dc.title.none.fl_str_mv Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
title Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
spellingShingle Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
Ali, S.S.S.
Electricity Consumption Breakdowns
Key Performance Indicators (KPIs)
Potential Electricity Saving
Cost Saving
Emissions Reduction
5-Star Energy Efficiency
title_short Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
title_full Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
title_fullStr Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
title_full_unstemmed Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
title_sort Quantification of household electricity consumption for supporting energy efficiency of urban metabolism: Material flow analysis
dc.creator.none.fl_str_mv Ali, S.S.S.
Kasavan, S.
Razman, M.R.
Zarco Periñán, Pedro Javier
author Ali, S.S.S.
author_facet Ali, S.S.S.
Kasavan, S.
Razman, M.R.
Zarco Periñán, Pedro Javier
author_role author
author2 Kasavan, S.
Razman, M.R.
Zarco Periñán, Pedro Javier
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería Eléctrica
dc.subject.none.fl_str_mv Electricity Consumption Breakdowns
Key Performance Indicators (KPIs)
Potential Electricity Saving
Cost Saving
Emissions Reduction
5-Star Energy Efficiency
topic Electricity Consumption Breakdowns
Key Performance Indicators (KPIs)
Potential Electricity Saving
Cost Saving
Emissions Reduction
5-Star Energy Efficiency
description Copyright (c) 2024 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE) Creative Commons License. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/161967
https://doi.org/10.61435/ijred.2024.60267
url https://hdl.handle.net/11441/161967
https://doi.org/10.61435/ijred.2024.60267
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Renewable Energy Development, 13 (5), 960-973.
https://ijred.cbiore.id/index.php/ijred/article/view/60267
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Center of Biomass and Renewable Energy (CBIORE)
publisher.none.fl_str_mv Center of Biomass and Renewable Energy (CBIORE)
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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