Estimating Space-Cooling Energy Consumption and Indoor PM2.5 Exposure across Hong Kong Using a City-Representative Housing Stock Model

نویسندگان

چکیده

High-quality data on building energy use and indoor pollution are critical to supporting government efforts reduce carbon emissions improve the population’s health. This study describes development of a city-representative housing stock model used for estimating space-cooling PM2.5 exposure across Hong Kong stock. Archetypes representative dwellings were developed based geographically-referenced databases. Simulations unique combinations archetype, occupation, environment run using EnergyPlus, annual consumption average concentrations under both non-retrofit retrofit scenarios. Results show that modern village houses top-floor flats in high-rise residential buildings, average, 19% more than other archetypes. Dwellings urban areas had lower outdoor-sourced higher indoor-sourced compared those rural areas. The percentage decrease caused by efficiency retrofits, including external wall insulation, low-e windows, airtightening, varied significantly archetype. implementation insulation led an 3.5% exposure, whilst airtightening windows resulted 7.9% 0.2% increases respectively.

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ژورنال

عنوان ژورنال: Buildings

سال: 2022

ISSN: ['2075-5309']

DOI: https://doi.org/10.3390/buildings12091414