Surface temperatures in New York City

Geospatial data enables the accurate prediction of radiative heat transfer

Masoud Ghandehari, Thorsten Emig, Milad Aghamohamadnia

Research output: Contribution to journalArticle

Abstract

Despite decades of research seeking to derive the urban energy budget, the dynamics of thermal exchange in the densely constructed environment is not yet well understood. Using New York City as a study site, we present a novel hybrid experimental-computational approach for a better understanding of the radiative heat transfer in complex urban environments. The aim of this work is to contribute to the calculation of the urban energy budget, particularly the stored energy. We will focus our attention on surface thermal radiation. Improved understanding of urban thermodynamics incorporating the interaction of various bodies, particularly in high rise cities, will have implications on energy conservation at the building scale, and for human health and comfort at the urban scale. The platform presented is based on longwave hyperspectral imaging of nearly 100 blocks of Manhattan, in addition to a geospatial radiosity model that describes the collective radiative heat exchange between multiple buildings. Despite assumptions in surface emissivity and thermal conductivity of buildings walls, the close comparison of temperatures derived from measurements and computations is promising. Results imply that the presented geospatial thermodynamic model of urban structures can enable accurate and high resolution analysis of instantaneous urban surface temperatures.

Original languageEnglish (US)
Article number2224
JournalScientific Reports
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2018

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energy budget
heat transfer
surface temperature
thermodynamics
energy conservation
prediction
emissivity
thermal conductivity
energy
temperature
city
calculation
urban structure
human health
radiation
comparison
analysis

ASJC Scopus subject areas

  • General

Cite this

Surface temperatures in New York City : Geospatial data enables the accurate prediction of radiative heat transfer. / Ghandehari, Masoud; Emig, Thorsten; Aghamohamadnia, Milad.

In: Scientific Reports, Vol. 8, No. 1, 2224, 01.12.2018.

Research output: Contribution to journalArticle

Ghandehari, Masoud ; Emig, Thorsten ; Aghamohamadnia, Milad. / Surface temperatures in New York City : Geospatial data enables the accurate prediction of radiative heat transfer. In: Scientific Reports. 2018 ; Vol. 8, No. 1.
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