Microclimatic models and their implications on the energy requirements of buildings in warm dry urban areas

被引:1
作者
Alchapar, Noelia [1 ]
Balter, Julieta [1 ]
Mercado, M. Victoria [1 ]
Correa, Erica [1 ]
机构
[1] Consejo Nacl Invest Cient & Tecn, Inst Medio Ambiente Habitat & Energia INAHE, CCT Mendoza, Natl Council Sci & Tech Res, Ave Ruiz Leal s-n Parque Gral, RA-M5500 San Martin, Mendoza, Argentina
关键词
Weather files; Building energy requirements; Microclimatic software; AIR TEMPERATURES; HEAT-ISLAND; SIMULATION; MENDOZA; SYSTEM; IMPACT; CITY;
D O I
10.1016/j.enbuild.2024.114468
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Understanding the parameters that amplify or mitigate temperature increases in the built environment is crucial to reducing the energy demand of buildings and achieving urban resilience. This research examines how microclimate scenarios can affect building energy performance forecasts in cities with temperate and dry climates. The aim is to calculate the variation in building energy requirements resulting from using different weather files and urban parameters using the UBEM tool. To achieve this, UWG and Energy Plus software were used to create urban and building models. The study analysed four microclimatic scenarios in the city of Mendoza, Argentina. The scenarios used as a weather file input the annual format of a specific year (AMY files) or long-term (TMY file), whilst also considering the specific urban parameters of the assessed area. The study found that an incorrect weather file can cause a 36% error in energy usage assessments for cooling buildings during summer months. The contribution of this study is the development of a methodology for obtaining a weather file that accurately reflects the microclimate characteristics of the urban area of interest.
引用
收藏
页数:14
相关论文
共 63 条
[51]   A comparison of two modeling approaches for establishing and implementing energy use reduction targets for a university campus [J].
Nagpal, Shreshth ;
Reinhart, Christoph F. .
ENERGY AND BUILDINGS, 2018, 173 :103-116
[52]  
Nakano A., 2009, Urban Weather Generator. User Interface Development: Towards a Usable Tool for Integrating Urban Heat Island Effect within Urban Desing Process
[53]   From urban climate to energy consumption. Enhancing building performance simulation by including the urban heat island effect [J].
Palme, M. ;
Inostroza, L. ;
Villacreses, G. ;
Lobato-Cordero, Andrea ;
Carrasco, C. .
ENERGY AND BUILDINGS, 2017, 145 :107-120
[54]  
Pezzuto C.C., 2022, Sol. Energy Adv., V2, DOI [10.1016/j.seja.2022.100022, DOI 10.1016/J.SEJA.2022.100022]
[55]   Data analytics for simplifying thermal efficiency planning in cities [J].
Qomi, Mohammad Javad Abdolhosseini ;
Noshadravan, Arash ;
Sobstyl, Jake M. ;
Toole, Jameson ;
Ferreira, Joseph ;
Pellenq, Roland J. -M. ;
Ulm, Franz-Josef ;
Gonzalez, Marta C. .
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2016, 13 (117)
[56]   Urban building energy modeling - A review of a nascent field [J].
Reinhart, Christoph F. ;
Davila, Carlos Cerezo .
BUILDING AND ENVIRONMENT, 2016, 97 :196-202
[57]   Urban forest configurations in an "oasis city" of arid zone: Mendoza (Argentina). Influence on residential energy consumption [J].
Ruiz, Ma A. ;
Correa, E. N. .
INFORMES DE LA CONSTRUCCION, 2018, 70 (549)
[58]   Recent development and research priorities on cool and super cool materials to mitigate urban heat island [J].
Santamouris, M. ;
Yun, Geun Young .
RENEWABLE ENERGY, 2020, 161 :792-807
[59]  
Castro MBS, 2017, REV HABITAT SUSTENTA, V7, P45, DOI 10.22320/07190700.2017.07.01.05
[60]   Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches [J].
Torabi Moghadam, Sara ;
Delmastro, Chiara ;
Corgnati, Stefano Paolo ;
Lombardi, Patrizia .
JOURNAL OF CLEANER PRODUCTION, 2017, 165 :811-827