2008
DOI: 10.1016/j.energy.2007.10.002
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Seasonal variations in residential and commercial sector electricity consumption in Hong Kong

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Cited by 96 publications
(34 citation statements)
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“…DBT), or do not adequately remove the bias in the weather variables during the multiple linear regression analysis [26]. Our earlier work on existing air-conditioned office buildings and sector-wide electricity consumption in subtropical climates had shown that regressions models based on principal component analysis (PCA) of key monthly climatic variables could give a good indication of the corresponding monthly and annual electricity use [27], and it was also found that annual building energy use from PCA and regression models was very close to that from detailed multi-year hour-by-hour simulation; the difference was within 2% [28,29]. This study thus adopted PCA and regression technique to estimate future trends of energy use in fully air-conditioned office buildings in subtropical Hong Kong and assess the mitigation potentials of energy-efficient measures.…”
Section: Methodsmentioning
confidence: 99%
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“…DBT), or do not adequately remove the bias in the weather variables during the multiple linear regression analysis [26]. Our earlier work on existing air-conditioned office buildings and sector-wide electricity consumption in subtropical climates had shown that regressions models based on principal component analysis (PCA) of key monthly climatic variables could give a good indication of the corresponding monthly and annual electricity use [27], and it was also found that annual building energy use from PCA and regression models was very close to that from detailed multi-year hour-by-hour simulation; the difference was within 2% [28,29]. This study thus adopted PCA and regression technique to estimate future trends of energy use in fully air-conditioned office buildings in subtropical Hong Kong and assess the mitigation potentials of energy-efficient measures.…”
Section: Methodsmentioning
confidence: 99%
“…Most of the PER (coal, natural gas and oil products) was used for electricity generation, which accounted for about two-third of the total PER in 2009, and the commercial sector was the single largest component, accounting for 66.2% of the total electricity used locally. Annual electricity consumption in the commercial sector rose from 3823 GWh (13,763 TJ) in 1979 to 27,460 GWh (98,856 TJ) in 2009, representing an average rate of increase of 6.8% per year, a few percents higher than the PER growth rate. Rising demands for electricity in this sector continued unabated, even during the economic downturn (the Asian financial crisis) in the late 1990s and early 2000s.…”
Section: Introductionmentioning
confidence: 97%
“…In warm climate countries, these sectors tend to be the main drivers behind demand peaks during hot months. For instance, Tang et al (2008) find that the substantial growth of energy use in Hong-Kong (subtropical climate) is due to higher electricity consumption for airconditioning in residential and commercial sectors. Bessec and Fouquau (2008) explain a higher sensitivity of electricity consumption in summer months by an increase in the trend temperature over the last two decades.…”
Section: Introductionmentioning
confidence: 99%
“…Lam et al analysed [6] the impact of different seasons on the electricity consumption in the residential sector in Hong Kong. In addition, Ranjan and Jain [7] modelled the electricity consumption in Delhi as a function of different seasons (winter, summer and post-monsoon).…”
Section: Introductionmentioning
confidence: 99%