Electricity energy trends in Hong Kong residential housing environment

C. T. Cheung; Kwok Wai Mui; Ling Tim Wong; K. C. Yang

doi:10.1177/1420326X13490181

Electricity energy trends in Hong Kong residential housing environment

C. T. Cheung, Kwok Wai Mui, Ling Tim Wong, K. C. Yang

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

10 Citations (Scopus)

Abstract

Energy efficiency in buildings is a key factor for sustainable development. This study examines the electricity consumption in apartments and communal areas for both public and private housing in Hong Kong. A tool based on Monte Carlo sampling has been developed to predict residential electricity consumption in terms of housing type, occupant load per apartment (tenant) and gross floor area per building (communal). The residential electricity demand forecasts for Hong Kong show that substantial energy savings (>670 GWh yr-1) can be achieved over the next decade through adjusting the mix of housing types and reducing communal energy use. The outcome of this study is useful for urban policymaking and future residential development planning.

Original language	English
Pages (from-to)	1021-1028
Number of pages	8
Journal	Indoor and Built Environment
Volume	23
Issue number	7
DOIs	https://doi.org/10.1177/1420326X13490181
Publication status	Published - 1 Jan 2014

Keywords

Communal facilities
Electricity consumption
Housing type
Residential housing
Tenant

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1177/1420326X13490181

Cite this

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AU - Cheung, C. T.

AU - Mui, Kwok Wai

AU - Wong, Ling Tim

AU - Yang, K. C.

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Y1 - 2014/1/1

N2 - Energy efficiency in buildings is a key factor for sustainable development. This study examines the electricity consumption in apartments and communal areas for both public and private housing in Hong Kong. A tool based on Monte Carlo sampling has been developed to predict residential electricity consumption in terms of housing type, occupant load per apartment (tenant) and gross floor area per building (communal). The residential electricity demand forecasts for Hong Kong show that substantial energy savings (>670 GWh yr-1) can be achieved over the next decade through adjusting the mix of housing types and reducing communal energy use. The outcome of this study is useful for urban policymaking and future residential development planning.

AB - Energy efficiency in buildings is a key factor for sustainable development. This study examines the electricity consumption in apartments and communal areas for both public and private housing in Hong Kong. A tool based on Monte Carlo sampling has been developed to predict residential electricity consumption in terms of housing type, occupant load per apartment (tenant) and gross floor area per building (communal). The residential electricity demand forecasts for Hong Kong show that substantial energy savings (>670 GWh yr-1) can be achieved over the next decade through adjusting the mix of housing types and reducing communal energy use. The outcome of this study is useful for urban policymaking and future residential development planning.

KW - Communal facilities

KW - Electricity consumption

KW - Housing type

KW - Residential housing

KW - Tenant

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Electricity energy trends in Hong Kong residential housing environment

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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