Modeling of Anthropogenic Heat Fluxes during the Heating Period in Major Russian Cities

Estimates of the anthropogenic heat flux (AHF) generated by megacities of the Russian Federation during the heating period are obtained. To calculate the AHF value, two-dimensional models were created taking into account the height, number of floors and the type of buildings for sixteen cities with a population of at least one million people. The source data is obtained from the OpenStreetMap open web mapping platform and the Yandex Maps website. Two algorithms for calculating AHF using building codes, thermophysical properties of enclosing structures and the difference between internal and external air temperatures are considered. The first algorithm uses the basic value of the required heat transfer resistance of the enclosing structure, the second – the calculated value of the specific characteristic of the consumption of thermal energy for heating and ventilation of the building. The AHF is assessed from the territory of the city within the administrative boundaries and from the urbanized territory, which is defined by multi-store buildings. Maps of the spatial distribution of AHF density are provided for the four largest megacities: Moscow, St. Petersburg, Novosibirsk and Yekaterinburg.

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Publication Details

Journal
Известия Российской академии наук Физика атмосферы и океана
Published
2024-12-23
DOI
https://doi.org/10.31857/s0002351524040051
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
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article

Modeling of Anthropogenic Heat Fluxes during the Heating Period in Major Russian Cities

V. A. Frolkis, I. A. Evsikov, А. С. Гинзбург
Известия Российской академии наук Физика атмосферы и океана
Urban Heat Island Mitigation
article

Modeling of Anthropogenic Heat Fluxes during the Heating Period in Major Russian Cities

V. A. Frolkis, I. A. Evsikov, А. С. Гинзбург
article en

Abstract

Estimates of the anthropogenic heat flux (AHF) generated by megacities of the Russian Federation during the heating period are obtained. To calculate the AHF value, two-dimensional models were created taking into account the height, number of floors and the type of buildings for sixteen cities with a population of at least one million people. The source data is obtained from the OpenStreetMap open web mapping platform and the Yandex Maps website. Two algorithms for calculating AHF using building codes, thermophysical properties of enclosing structures and the difference between internal and external air temperatures are considered. The first algorithm uses the basic value of the required heat transfer resistance of the enclosing structure, the second – the calculated value of the specific characteristic of the consumption of thermal energy for heating and ventilation of the building. The AHF is assessed from the territory of the city within the administrative boundaries and from the urbanized territory, which is defined by multi-store buildings. Maps of the spatial distribution of AHF density are provided for the four largest megacities: Moscow, St. Petersburg, Novosibirsk and Yekaterinburg.

Известия Российской академии наук Физика атмосферы и океанаVol. 60(4)
St Petersburg University (RU), Saint Petersburg State University of Architecture and Civil Engineering (RU), Saint-Petersburg Institute of Economy and Management (RU), Voeikov Main Geophysical Observatory (RU), A.M. Obukhov Institute of Atmospheric Physics (RU)
Sustainable cities and communities
Openalex Percentile: Top 79%
Urban Heat Island Mitigation
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