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Article: The growth pattern and fuel life cycle analysis of the electricity consumption of Hong Kong

TitleThe growth pattern and fuel life cycle analysis of the electricity consumption of Hong Kong
Authors
KeywordsElectricity consumption
Fuel life cycle analysis
Growth pattern
Pollutant emissions
Issue Date2012
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envpol
Citation
Environmental Pollution, 2012, v. 165, p. 1-10 How to Cite?
AbstractAs the consumption of electricity increases, air pollutants from power generation increase. In metropolitans such as Hong Kong and other Asian cities, the surge of electricity consumption has been phenomenal over the past decades. This paper presents a historical review about electricity consumption, population, and change in economic structure in Hong Kong. It is hypothesized that the growth of electricity consumption and change in gross domestic product can be modeled by 4-parameter logistic functions. The accuracy of the functions was assessed by Pearson's correlation coefficient, mean absolute percent error, and root mean squared percent error. The paper also applies the life cycle approach to determine carbon dioxide, methane, nitrous oxide, sulfur dioxide, and nitrogen oxide emissions for the electricity consumption of Hong Kong. Monte Carlo simulations were applied to determine the confidence intervals of pollutant emissions. The implications of importing more nuclear power are discussed.
Persistent Identifierhttp://hdl.handle.net/10722/152655
ISSN
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 2.132
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTo, WMen_US
dc.contributor.authorLai, TMen_US
dc.contributor.authorLo, WCen_US
dc.contributor.authorLam, KHen_US
dc.contributor.authorChung, WLen_US
dc.date.accessioned2012-07-16T09:45:50Z-
dc.date.available2012-07-16T09:45:50Z-
dc.date.issued2012en_US
dc.identifier.citationEnvironmental Pollution, 2012, v. 165, p. 1-10en_US
dc.identifier.issn0269-7491-
dc.identifier.urihttp://hdl.handle.net/10722/152655-
dc.description.abstractAs the consumption of electricity increases, air pollutants from power generation increase. In metropolitans such as Hong Kong and other Asian cities, the surge of electricity consumption has been phenomenal over the past decades. This paper presents a historical review about electricity consumption, population, and change in economic structure in Hong Kong. It is hypothesized that the growth of electricity consumption and change in gross domestic product can be modeled by 4-parameter logistic functions. The accuracy of the functions was assessed by Pearson's correlation coefficient, mean absolute percent error, and root mean squared percent error. The paper also applies the life cycle approach to determine carbon dioxide, methane, nitrous oxide, sulfur dioxide, and nitrogen oxide emissions for the electricity consumption of Hong Kong. Monte Carlo simulations were applied to determine the confidence intervals of pollutant emissions. The implications of importing more nuclear power are discussed.-
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envpol-
dc.relation.ispartofEnvironmental Pollutionen_US
dc.subjectElectricity consumption-
dc.subjectFuel life cycle analysis-
dc.subjectGrowth pattern-
dc.subjectPollutant emissions-
dc.subject.meshAir Pollution - statistics and numerical data-
dc.subject.meshElectricity-
dc.subject.meshEnvironmental Monitoring-
dc.subject.meshFossil Fuels - statistics and numerical data-
dc.subject.meshPopulation Growth-
dc.titleThe growth pattern and fuel life cycle analysis of the electricity consumption of Hong Kongen_US
dc.typeArticleen_US
dc.identifier.emailLam, KH: samkhlam@hku.hken_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.envpol.2012.02.007-
dc.identifier.pmid22390975-
dc.identifier.scopuseid_2-s2.0-84857674749-
dc.identifier.hkuros200645en_US
dc.identifier.hkuros247904-
dc.identifier.volume165en_US
dc.identifier.spage1en_US
dc.identifier.epage10en_US
dc.identifier.isiWOS:000303629000001-
dc.publisher.placeUnited Kingdom-
dc.identifier.citeulike10419672-
dc.identifier.issnl0269-7491-

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