Modelling household energy consumption using climatic and demographic variables in Hong Lok Yuen and Fairview Park, Hong Kong

Kwok Pan Chun, Pingyu Rita Fan, Tek Sheng Kevin Lo, Daphne Ngar-Yin Mah

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    Household energy consumption management promotes the resilience of cities. For managing household energy demand, quantifying how climate variations and demographic variables affect energy pattern is useful. By establishing energy and climate relationships, adaptive energy-saving solutions based on climatic conditions and household environments can be developed. In this study, a pilot study was undertaken in 58 households from Hong Lok Yuen and Fairview Park. Electric bills from the households were collected for providing energy consumption pattern information. A nonparametric regression approach was used to explore nonlinear relationships between climate variables and energy consumption patterns. Based on results of these households, the general energy consumption patterns related to climate variables was found to be likely driven by thermal comfort. Therefore, we propose nature-based solutions to use a setting of nature for increasing indoor thermal comfort and reducing energy demand at home. Moreover, different households respond to climate variables change differently, and we suggest options of household specific solutions based on demographic variables. Using these pilot study results, we design an energy demand management framework for integrating communication systems and utility supply systems. We also discuss the potential applications of this framework for building energy resilience in smart cities.

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