Land surface temperature and households’ energy consumption: Who is affected and where?

Bardia Mashhoodi*, Dominic Stead, Arjan van Timmeren

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

23 Citations (Scopus)
54 Downloads (Pure)

Abstract

It is widely accepted that land surface temperature (LST) affects household energy consumption (HEC). There is, however, no previous study available that clarifies whether LST's impact is similar in each and every area, or if it varies from one location to another. Analysing the impact of LST on HEC of 2612 residential zones of the Netherlands in 2014, this study concludes that HEC of 50% of the zones is affected by LST, accounting for 0.8% of overall consumption on average. It is obtained that energy-intensive, high-income and large-size households are more likely to be affected by LST. The results show that the effect is likely to be significant in the zones with relatively milder air temperature, and higher levels of humidity and wind. It is obtained that the effect intensifies when the buildings are less compact and the zones are less urbanised. Ultimately, this study urges for a shift in the approach of the existing studies on the impact of LST by putting forward a proposition: the impact of LST on HEC could not be spatially generalised, and one cannot enhance the associations unless location-specific circumstances of the areas in question are taken into consideration.

Original languageEnglish
Article number102125
Number of pages8
JournalApplied Geography
Volume114
DOIs
Publication statusPublished - 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Geographically weighted regression
  • Household energy consumption
  • Land surface temperature
  • Netherlands
  • Remote sensing
  • Urban heat island

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