Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul

The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building en...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Adilkhanova, Indira [verfasserIn] Santamouris, Mat [verfasserIn] Yun, Geun Young [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption

Übergeordnetes Werk:	Enthalten in: Energy and buildings - Amsterdam [u.a.] : Elsevier Science, 1977, 290
Übergeordnetes Werk:	volume:290

DOI / URN:	10.1016/j.enbuild.2023.113092

Katalog-ID:	ELV060176482

Internformat


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520			\|a The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings.
650		4	\|a Urban climate modeling
650		4	\|a Urban building energy modeling
650		4	\|a Surface albedo
650		4	\|a Urban overheating
650		4	\|a Energy consumption
700	1		\|a Santamouris, Mat \|e verfasserin \|4 aut
700	1		\|a Yun, Geun Young \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Energy and buildings \|d Amsterdam [u.a.] : Elsevier Science, 1977 \|g 290 \|h Online-Ressource \|w (DE-627)308448030 \|w (DE-600)1502295-X \|w (DE-576)094752532 \|7 nnns
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Indexfelder

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publishDate	2023
allfields	10.1016/j.enbuild.2023.113092 doi (DE-627)ELV060176482 (ELSEVIER)S0378-7788(23)00322-5 DE-627 ger DE-627 rda eng 690 VZ 52.42 bkl 56.50 bkl 56.55 bkl 56.65 bkl Adilkhanova, Indira verfasserin aut Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings. Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption Santamouris, Mat verfasserin aut Yun, Geun Young verfasserin aut Enthalten in Energy and buildings Amsterdam [u.a.] : Elsevier Science, 1977 290 Online-Ressource (DE-627)308448030 (DE-600)1502295-X (DE-576)094752532 nnns volume:290 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2116 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 56.50 Technischer Ausbau VZ 56.55 Bauphysik Bautenschutz VZ 56.65 Bauökologie Baubiologie VZ AR 290
spelling	10.1016/j.enbuild.2023.113092 doi (DE-627)ELV060176482 (ELSEVIER)S0378-7788(23)00322-5 DE-627 ger DE-627 rda eng 690 VZ 52.42 bkl 56.50 bkl 56.55 bkl 56.65 bkl Adilkhanova, Indira verfasserin aut Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings. Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption Santamouris, Mat verfasserin aut Yun, Geun Young verfasserin aut Enthalten in Energy and buildings Amsterdam [u.a.] : Elsevier Science, 1977 290 Online-Ressource (DE-627)308448030 (DE-600)1502295-X (DE-576)094752532 nnns volume:290 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2116 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 56.50 Technischer Ausbau VZ 56.55 Bauphysik Bautenschutz VZ 56.65 Bauökologie Baubiologie VZ AR 290
allfields_unstemmed	10.1016/j.enbuild.2023.113092 doi (DE-627)ELV060176482 (ELSEVIER)S0378-7788(23)00322-5 DE-627 ger DE-627 rda eng 690 VZ 52.42 bkl 56.50 bkl 56.55 bkl 56.65 bkl Adilkhanova, Indira verfasserin aut Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings. Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption Santamouris, Mat verfasserin aut Yun, Geun Young verfasserin aut Enthalten in Energy and buildings Amsterdam [u.a.] : Elsevier Science, 1977 290 Online-Ressource (DE-627)308448030 (DE-600)1502295-X (DE-576)094752532 nnns volume:290 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2116 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 56.50 Technischer Ausbau VZ 56.55 Bauphysik Bautenschutz VZ 56.65 Bauökologie Baubiologie VZ AR 290
allfieldsGer	10.1016/j.enbuild.2023.113092 doi (DE-627)ELV060176482 (ELSEVIER)S0378-7788(23)00322-5 DE-627 ger DE-627 rda eng 690 VZ 52.42 bkl 56.50 bkl 56.55 bkl 56.65 bkl Adilkhanova, Indira verfasserin aut Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings. Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption Santamouris, Mat verfasserin aut Yun, Geun Young verfasserin aut Enthalten in Energy and buildings Amsterdam [u.a.] : Elsevier Science, 1977 290 Online-Ressource (DE-627)308448030 (DE-600)1502295-X (DE-576)094752532 nnns volume:290 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2116 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 56.50 Technischer Ausbau VZ 56.55 Bauphysik Bautenschutz VZ 56.65 Bauökologie Baubiologie VZ AR 290
allfieldsSound	10.1016/j.enbuild.2023.113092 doi (DE-627)ELV060176482 (ELSEVIER)S0378-7788(23)00322-5 DE-627 ger DE-627 rda eng 690 VZ 52.42 bkl 56.50 bkl 56.55 bkl 56.65 bkl Adilkhanova, Indira verfasserin aut Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings. Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption Santamouris, Mat verfasserin aut Yun, Geun Young verfasserin aut Enthalten in Energy and buildings Amsterdam [u.a.] : Elsevier Science, 1977 290 Online-Ressource (DE-627)308448030 (DE-600)1502295-X (DE-576)094752532 nnns volume:290 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2116 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 56.50 Technischer Ausbau VZ 56.55 Bauphysik Bautenschutz VZ 56.65 Bauökologie Baubiologie VZ AR 290
language	English
source	Enthalten in Energy and buildings 290 volume:290
sourceStr	Enthalten in Energy and buildings 290 volume:290
format_phy_str_mv	Article
bklname	Heizungstechnik Lüftungstechnik Klimatechnik Technischer Ausbau Bauphysik Bautenschutz Bauökologie Baubiologie
institution	findex.gbv.de
topic_facet	Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption
dewey-raw	690
isfreeaccess_bool	false
container_title	Energy and buildings
authorswithroles_txt_mv	Adilkhanova, Indira @@aut@@ Santamouris, Mat @@aut@@ Yun, Geun Young @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	308448030
dewey-sort	3690
id	ELV060176482
language_de	englisch
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author	Adilkhanova, Indira
spellingShingle	Adilkhanova, Indira ddc 690 bkl 52.42 bkl 56.50 bkl 56.55 bkl 56.65 misc Urban climate modeling misc Urban building energy modeling misc Surface albedo misc Urban overheating misc Energy consumption Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul
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topic_title	690 VZ 52.42 bkl 56.50 bkl 56.55 bkl 56.65 bkl Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul Urban climate modeling Urban building energy modeling Surface albedo Urban overheating Energy consumption
topic	ddc 690 bkl 52.42 bkl 56.50 bkl 56.55 bkl 56.65 misc Urban climate modeling misc Urban building energy modeling misc Surface albedo misc Urban overheating misc Energy consumption
topic_unstemmed	ddc 690 bkl 52.42 bkl 56.50 bkl 56.55 bkl 56.65 misc Urban climate modeling misc Urban building energy modeling misc Surface albedo misc Urban overheating misc Energy consumption
topic_browse	ddc 690 bkl 52.42 bkl 56.50 bkl 56.55 bkl 56.65 misc Urban climate modeling misc Urban building energy modeling misc Surface albedo misc Urban overheating misc Energy consumption
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title	Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul
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title_full	Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul
author_sort	Adilkhanova, Indira
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author_browse	Adilkhanova, Indira Santamouris, Mat Yun, Geun Young
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author-letter	Adilkhanova, Indira
doi_str_mv	10.1016/j.enbuild.2023.113092
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title_sort	coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: climate and energy implications of high albedo materials in seoul
title_auth	Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul
abstract	The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings.
abstractGer	The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings.
abstract_unstemmed	The present study represents a pioneering effort to evaluate the urban cooling effect from the city-scale application of high albedo materials on urban buildings' energy consumption in Seoul. To address the existing research gap, the study combined urban climate modeling, city-scale building energy simulations, and statistical analysis involving actual energy data. The findings showed that cool materials have a high potential to mitigate urban overheating and its negative consequences on building energy use. The integration of higher albedo materials resulted in monthly temperature drops and energy use reductions of up to 2.08 °C and 2.91 kWh/m2,respectively. Additionally, it was found that the highest temperature and energy use drops of up to 2.99 °C and 7.70 kWh/m2, respectively, were observed during the daytime, while at night, the reductions were comparatively lower, not exceeding the values of 1.59 °C and 3.20 kWh/m2. The urban climate modeling allowed considering the albedo impacts on the microclimate. Meanwhile, the city-level energy simulation tool enabled accounting for urban morphology. Finally, real energy data and statistical analysis were utilized to develop an energy prediction model. The methodology and findings of this study can be used as guidelines for developing urban planning strategies and designing energy-efficient buildings.
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title_short	Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul
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up_date	2024-07-06T23:37:25.383Z
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Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul

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