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Pregled bibliografske jedinice broj: 1016959

PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning


Sismanidis, Panagiotis; Keramitsoglou, Iphigenia; Barberis, Stefano; Dorotić, Hrvoje; Bechtel, Benjamin; Kiranoudis, Chris T.
PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning // Remote Sensing, 11 (2019), 17; 2048, 17 doi:10.3390/rs11172048 (međunarodna recenzija, pismo, ostalo)


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Naslov
PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning

Autori
Sismanidis, Panagiotis ; Keramitsoglou, Iphigenia ; Barberis, Stefano ; Dorotić, Hrvoje ; Bechtel, Benjamin ; Kiranoudis, Chris T.

Izvornik
Remote Sensing (2072-4292) 11 (2019), 17; 2048, 17

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pismo, ostalo

Ključne riječi
urban heat island ; building energy demand ; heating degrees ; cooling degrees ; thermal remote sensing ; SEVIRI ; annual cycle parameters ; urban areas ; PLANHEAT

Sažetak
The urban heat island (UHI) effect influences the heating and cooling (H&C) energy demand of buildings and should be taken into account in H&C energy demand simulations. To provide information about this effect, the PLANHEAT integrated tool—which is a GIS-based, open- source software tool for selecting, simulating and comparing alternative low-carbon and economically sustainable H&C scenarios—includes a dataset of 1 × 1 km hourly heating and cooling degrees (HD and CD, respectively). HD and CD are energy demand proxies that are defined as the deviation of the outdoor surface air temperature from a base temperature, above or below which a building is assumed to need heating or cooling, respectively. PLANHEAT’s HD and CD are calculated from a dataset of gridded surface air temperatures that have been derived using satellite thermal data from Meteosat-10 Spinning Enhanced Visible and Near-Infrared Imager (SEVIRI). This article describes the method for producing this dataset and presents the results for Antwerp (Belgium), which is one of the three validation cities of PLANHEAT. The results demonstrate the spatial and temporal information of PLANHEAT’s HD and CD dataset, while the accuracy assessment reveals that they agree well with reference values retrieved from in situ surface air temperatures. This dataset is an example of application-oriented research that provides location-specific results with practical utility.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Hrvoje Dorotić (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Sismanidis, Panagiotis; Keramitsoglou, Iphigenia; Barberis, Stefano; Dorotić, Hrvoje; Bechtel, Benjamin; Kiranoudis, Chris T.
PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning // Remote Sensing, 11 (2019), 17; 2048, 17 doi:10.3390/rs11172048 (međunarodna recenzija, pismo, ostalo)
Sismanidis, P., Keramitsoglou, I., Barberis, S., Dorotić, H., Bechtel, B. & Kiranoudis, C. (2019) PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning. Remote Sensing, 11 (17), 2048, 17 doi:10.3390/rs11172048.
@article{article, author = {Sismanidis, Panagiotis and Keramitsoglou, Iphigenia and Barberis, Stefano and Doroti\'{c}, Hrvoje and Bechtel, Benjamin and Kiranoudis, Chris T.}, year = {2019}, pages = {17}, DOI = {10.3390/rs11172048}, chapter = {2048}, keywords = {urban heat island, building energy demand, heating degrees, cooling degrees, thermal remote sensing, SEVIRI, annual cycle parameters, urban areas, PLANHEAT}, journal = {Remote Sensing}, doi = {10.3390/rs11172048}, volume = {11}, number = {17}, issn = {2072-4292}, title = {PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning}, keyword = {urban heat island, building energy demand, heating degrees, cooling degrees, thermal remote sensing, SEVIRI, annual cycle parameters, urban areas, PLANHEAT}, chapternumber = {2048} }
@article{article, author = {Sismanidis, Panagiotis and Keramitsoglou, Iphigenia and Barberis, Stefano and Doroti\'{c}, Hrvoje and Bechtel, Benjamin and Kiranoudis, Chris T.}, year = {2019}, pages = {17}, DOI = {10.3390/rs11172048}, chapter = {2048}, keywords = {urban heat island, building energy demand, heating degrees, cooling degrees, thermal remote sensing, SEVIRI, annual cycle parameters, urban areas, PLANHEAT}, journal = {Remote Sensing}, doi = {10.3390/rs11172048}, volume = {11}, number = {17}, issn = {2072-4292}, title = {PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning}, keyword = {urban heat island, building energy demand, heating degrees, cooling degrees, thermal remote sensing, SEVIRI, annual cycle parameters, urban areas, PLANHEAT}, chapternumber = {2048} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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