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  • 1
    UID:
    edochu_18452_26846
    Format: 1 Online-Ressource (33 Seiten)
    Content: We report the ability of an urban canopy model, coupled with a regional climate model, to simulate energy fluxes, the intra-urban variability of air temperature, urban-heat-island characteristics, indoor temperature variation, as well as anthropogenic heat emissions, in Berlin, Germany. A building energy model is implemented into the Double Canyon Effect Parametrization, which is coupled with the mesoscale climate model COSMO-CLM (COnsortium for Small-scale MOdelling in CLimate Mode) and takes into account heat generation within buildings and calculates the heat transfer between buildings and the urban atmosphere. The enhanced coupled urban model is applied in two simulations of 24-day duration for a winter and a summer period in 2018 in Berlin, using downscaled reanalysis data to a final grid spacing of 1 km. Model results are evaluated with observations of radiative and turbulent energy fluxes, 2-m air temperature, and indoor air temperature. The evaluation indicates that the improved model reproduces the diurnal characteristics of the observed turbulent heat fluxes, and considerably improves the simulated 2-m air temperature and urban heat island in winter, compared with the simulation without the building energy model. Our set-up also estimates the spatio–temporal variation of wintertime energy consumption due to heating with canyon geometry. The potential to save energy due to the urban heat island only becomes evident when comparing a suburban site with an urban site after applying the same grid-cell values for building and street widths. In summer, the model realistically reproduces the indoor air temperature and its temporal variation.
    Content: Peer Reviewed
    In: Dordrecht [u.a.] : Springer Science + Business Media B.V, 2021, 178, Seiten 249-281
    Language: English
    URL: Volltext  (kostenfrei)
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  • 2
    UID:
    edochu_18452_25375
    Format: 1 Online-Ressource (9 Seiten)
    Content: On top of their well known positive impact on air quality and CO2 emissions, electric vehicles generate less exhaust heat compared to traditional vehicles thanks to their high engine efficiency. As such, electric vehicles have the potential to mitigate the excessive heat in urban areas—a problem which has been exacerbated due to urbanisation and climate change. Still, the heat mitigation potential of electric vehicles has not been fully understood. Here, we combine high-resolution traffic heat emission inventories with an urban climate model to simulate the impact of the fleet electrification to the near-surface air temperature in the tropical city of Singapore. We show that a full replacement of traditional internal combustion engine vehicles with electric vehicles reduces the near-surface air temperature by up to 0.6°C. The heat mitigation potential is highest during the morning traffic peak and over areas with the largest traffic density. Interestingly, the reduction in exhaust heat emissions due to the fleet electrification during the evening traffic peak hardly leads to a reduction of near-surface air-temperatures, which is attributed to the different atmospheric conditions during morning and evening. This study presents a new quantification of the city-wide impact of electric vehicles on the air temperature in a tropical urban area. The results may support policy-makers toward designing holistic solutions to address the challenge of climate change adaptation and mitigation in cities.
    Content: Peer Reviewed
    In: Lausanne : Frontiers Media, 10
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    UID:
    edochu_18452_22317
    Format: 1 Online-Ressource (21 Seiten)
    Content: This study investigates the effect of anthropogenic heat emissions from air conditioning systems (AC) on air temperature and AC energy consumption in Berlin, Germany. We conduct simulations applying the model system CCLM/DCEP-BEM, a coupled system of the mesoscale climate model COSMO-CLM (CCLM) and the urban Double Canyon Effect Parameterization scheme with a building energy model (DCEP-BEM), for a summer period of 2018. The DCEP-BEM model is designed to explicitly compute the anthropogenic heat emissions from urban buildings and the heat flux transfer between buildings and the atmosphere. We investigate two locations where the AC outdoor units are installed: either on the wall of a building (VerAC) or on the rooftop of a building (HorAC). AC waste heat emissions considerably increase the near-surface air temperature. Compared to a reference scenario without AC systems, the VerAC scenario with a target indoor temperature of 22 °C results in a temperature increase of up to 0.6 K . The increase is more pronounced during the night and for urban areas. The effect of HorAC on air temperature is overall smaller than in VerAC. With the target indoor temperature of 22 °C , an urban site’s daily average AC energy consumption per floor area of a room is 9.1 W m2 , which is 35% more than that of a suburban site. This energy-saving results from the urban heat island effect and different building parameters between both sits. The maximum AC energy consumption occurs in the afternoon. When the target indoor temperature rises, the AC energy consumption decreases at a rate of about 16% per 2 K change in indoor temperature. The nighttime near-surface temperature in VerAC scenarios shows a declining trend ( 0.06 K per 2 K change) with increasing target indoor temperature. This feature is not obvious in HorAC scenarios which further confirms that HorAC has a smaller impact on near-surface air temperature.
    Content: Peer Reviewed
    In: Basel : MDPI, 17,13
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    almahu_BV048317967
    Format: 1 Online-Ressource : , Illustrationen, Diagramme.
    Note: Tag der mündlichen Prüfung: 26.04.2022. - Der Text enthält eine Zusammenfassung in deutscher und englischer Sprache. - Veröffentlichung der elektronischen Ressource auf dem edoc-Server der Humboldt-Universität zu Berlin: 2022 , Dissertation Humboldt-Universität zu Berlin 2022
    Additional Edition: Erscheint auch als Druck-Ausgabe Jin, Luxi Development of a building energy model and a mean radiant temperature scheme for mesoscale climate models, and applications in Berlin (Germany)
    Language: English
    Subjects: Engineering , Geography
    RVK:
    RVK:
    Keywords: Stadt ; Building energy management system ; Klimaanlage ; Wetterbeeinflussung ; Energiebewusstes Bauen ; Hochschulschrift
    URL: Volltext  (kostenfrei)
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  • 5
    UID:
    almahu_BV048445884
    Format: xiv, 116, 31 - 52 Seiten : , Illustrationen, Diagramme, Karten (teilweise farbig).
    Note: Tag der mündlichen Prüfung: 26.04.2022. - Der Text enthält eine Zusammenfassung in deutscher und englischer Sprache , Dissertation Humboldt-Universität zu Berlin 2022
    Additional Edition: Erscheint auch als Online-Ausgabe Jin, Luxi Development of a building energy model and a mean radiant temperature scheme for mesoscale climate models, and applications in Berlin (Germany) 10.18452/24660
    Additional Edition: urn:nbn:de:kobv:11-110-18452/25652-2
    Language: English
    Subjects: Engineering , Geography
    RVK:
    RVK:
    Keywords: Stadt ; Building energy management system ; Klimaanlage ; Wetterbeeinflussung ; Energiebewusstes Bauen ; Hochschulschrift
    URL: Volltext  (kostenfrei)
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  • 6
    UID:
    edochu_18452_29896
    Format: 1 Online-Ressource (22 Seiten)
    ISSN: 0941-2948 , 0941-2948
    Content: During daylight hours, the mean radiant temperature Tmrt is one of the most important meteorological parameters to analyse heat stress for humans. This study conducts a spatio-temporal analysis of Tmrt for a summer period in 2018 for the city of Berlin, Germany. To this end, the mesoscale climate model COSMOCLM (CCLM) is coupled with the urban Double Canyon Effect Parameterization scheme with a building energy model (DCEP–BEM) to derive Tmrt. This coupled model system CCLM/DCEP–BEM enables a dynamic calculation of Tmrt for the microscale urban street canyons using a mesoscale model. To bring a more accurate comparison, a two-step approach is applied to assess the radiative fluxes and Tmrt from CCLM/DCEP–BEM. The radiation model SOLWEIG is first validated against measurement and then used to evaluate the DCEP–BEM model. Overall good agreement in Tmrt is found between CCLM/DCEP–BEM and SOLWEIG (R2 = 0.96). Nighttime Tmrt simulated with CCLM/DCEP–BEM is higher than that with SOLWEIG (MBE = 2.9K), yet closer to measurements. Tmrt during the afternoon hours modeled with CCLM/DCEP–BEM is underestimated compared to SOLWEIG (MBE = −3.1K). Further, excluding vegetation, higher values for nighttime Tmrt are found in the densely built-up city center than in the suburbs with more open structures, while the city center has lower values for Tmrt during midday. This study provides a reliable representation of Tmrt in a mesoscale model and would be beneficial for future implementation of human-biometeorological variables such as the Universal Thermal Climate Index or Physiological Equivalent Temperature. These quantities are calculated using Tmrt.
    Content: Peer Reviewed
    In: Stuttgart : E. Schweizerbart Science Publishers, 31,1, Seiten 31-52, 0941-2948
    Language: English
    URL: Volltext  (kostenfrei)
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