Evaluating passive design measures for residential energy efficiency: A parametric climate-based comparison between London (heating-dominated) and Dubai (cooling-dominated)

This study presents a comparative analysis of the space heating and cooling requirements of representative residential buildings in London (UK) and Dubai (UAE), reflecting heating-dominated (HD) and cooling-dominated (CD) climates, respectively. Using a simplified Excel-based steady-state framework, five key passive design variables, glazing type, glazing area with orientation, airtightness, thermal mass, and building layout were systematically assessed to quantify their relative impact on annual energy demand. In the HD climate, improving glazing performance from the base-case double-glazed low-e unit (U = 1.8 W/m²K) to triple-glazed configurations (U = 0.8 W/m²K) reduced annual heating demand by approximately 11%, while tightening air-change rates from 0.60 h⁻¹ to 0.25 h⁻¹ achieved the largest reduction of about 40%. Increasing thermal mass yielded a further 8% saving. In the CD climate, adopting low-e sputtered silver solar-control glazing (g = 0.34) lowered cooling demand by around 38%, and enhanced airtightness provided an additional 8% reduction. Conversely, expanding south- and west-facing glazing areas increased cooling loads by up to 35%. The results indicate that identical design strategies can yield contrasting outcomes across climates. This study offers architects a transparent and data-driven way to evaluate climate-sensitive passive design alternatives early in the design process.

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Publication Details

Journal
International Journal of Energy Studies
Published
2026-03-17
DOI
https://doi.org/10.58559/ijes.1749556
Primary Topic
Building Energy and Comfort Optimization
Type
article
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article

Evaluating passive design measures for residential energy efficiency: A parametric climate-based comparison between London (heating-dominated) and Dubai (cooling-dominated)

Hakan Baş
International Journal of Energy Studies
Building Energy and Comfort Optimization
article

Evaluating passive design measures for residential energy efficiency: A parametric climate-based comparison between London (heating-dominated) and Dubai (cooling-dominated)

Hakan Baş
article en

Abstract

This study presents a comparative analysis of the space heating and cooling requirements of representative residential buildings in London (UK) and Dubai (UAE), reflecting heating-dominated (HD) and cooling-dominated (CD) climates, respectively. Using a simplified Excel-based steady-state framework, five key passive design variables, glazing type, glazing area with orientation, airtightness, thermal mass, and building layout were systematically assessed to quantify their relative impact on annual energy demand. In the HD climate, improving glazing performance from the base-case double-glazed low-e unit (U = 1.8 W/m²K) to triple-glazed configurations (U = 0.8 W/m²K) reduced annual heating demand by approximately 11%, while tightening air-change rates from 0.60 h⁻¹ to 0.25 h⁻¹ achieved the largest reduction of about 40%. Increasing thermal mass yielded a further 8% saving. In the CD climate, adopting low-e sputtered silver solar-control glazing (g = 0.34) lowered cooling demand by around 38%, and enhanced airtightness provided an additional 8% reduction. Conversely, expanding south- and west-facing glazing areas increased cooling loads by up to 35%. The results indicate that identical design strategies can yield contrasting outcomes across climates. This study offers architects a transparent and data-driven way to evaluate climate-sensitive passive design alternatives early in the design process.

International Journal of Energy StudiesVol. 11(1)
Izmir Kâtip Çelebi University (TR)
Climate action, Affordable and clean energy
Openalex Percentile: Top 19%
Building Energy and Comfort Optimization
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Evaluating passive design measures for residential energy efficiency: A parametric climate-based comparison between London (heating-dominated) and Dubai (cooling-dominated) — Hakan Baş · International Journal of Energy Studies (2026) | TGRS Research Map | TGRS