Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate

被引:29
|
作者
Li, Wenliang [1 ]
Zhou, Yuyu [1 ]
Cetin, Kristen S. [2 ]
Yu, Sha [3 ]
Wang, Yu [4 ]
Liang, Bingqing [5 ]
机构
[1] Iowa State Univ, Dept Geol & Ionospher Sci, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Civil Construct & Environm Engn, Ames, IA 50011 USA
[3] Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA
[4] Iowa State Univ, Dept Polit Sci, Ames, IA 50011 USA
[5] Univ Northern Iowa, Dept Geog, Cedar Falls, IA 50614 USA
关键词
CityBEUM; Urban building energy use; High spatiotemporal resolution; Calibration; CONDITIONAL DEMAND ANALYSIS; RESIDENTIAL SECTOR; BOTTOM-UP; CONSUMPTION; MODELS; METHODOLOGY; APPLIANCE; URBANIZATION; PERFORMANCE; SIMULATION;
D O I
10.1016/j.buildenv.2018.03.036
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Urban buildings account for up to 75% of total energy use in the United States (U.S.). Understanding urban building energy use is important for developing feasible options to mitigate energy use and greenhouse gas emissions. In this study, an improved bottom-up building energy use model, named City Building Energy Use Model (CityBEUM), was developed to estimate building energy use for all buildings in Polk County, Iowa, U.S. First, 28 commercial and 6 residential building prototypes were designed by combining Assessor's parcel data and building footprint data. Then, the EnergyPlus in the CityBEUM was calibrated for all building prototypes using the U.S. Energy Information Administration's survey data, monthly utility meter data, and actual weather data. Finally, spatial and temporal patterns of building energy use in the study area were estimated using the CityBEUM. Results indicate that the spatial variation of building energy use in the study area can be captured using the CityBEUM. With the monthly-calibrated model, the temporal pattern of urban building energy use can be well represented. The comparison of building energy use using the Typical Meteorological Year and actual weather data demonstrates the importance of using actual weather data in building energy modeling for an improved temporal representation.
引用
收藏
页码:107 / 117
页数:11
相关论文
共 13 条
  • [11] Green roofs to reduce building energy use? A review on key structural factors of green roofs and their effects on urban climate
    Susca, Tiziana
    BUILDING AND ENVIRONMENT, 2019, 162
  • [12] Effect of green wall installation on urban heat island and building energy use: A climate-informed systematic literature review
    Susca, T.
    Zanghirella, F.
    Colasuonno, L.
    Del Fatto, V
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 159
  • [13] A novel parametric workflow for simulating urban heat island effects on residential building energy use: Coupling local climate zones with the urban weather generator a case study of seven US cities
    Hashemi, Farzad
    Mills, Gerald
    Poerschke, Ute
    Iulo, Lisa Domenica
    Pavlak, Gregory
    Kalisperis, Loukas
    SUSTAINABLE CITIES AND SOCIETY, 2024, 110