Energy performance simulation for planning a low carbon neighborhood urban district: A case study in the city of Macau

被引:53
作者
Li, Zhengwei [2 ,3 ]
Quan, Steven J. [1 ,2 ]
Yang, Perry Pei-Ju [1 ,2 ]
机构
[1] Georgia Inst Technol, Coll Architecture, Sino US Eco Urban Lab, Atlanta, GA 30332 USA
[2] Tongji Univ, Coll Architecture & Urban Planning, Sino US Eco Urban Lab, Shanghai 200092, Peoples R China
[3] Tongji Univ, Coll Mech Engn, Shanghai 200092, Peoples R China
关键词
Building typology; Energy performance; Low carbon; GIS; Macau; THERMAL COMFORT; BUILDINGS; CONSUMPTION; DENSITY; DESIGN; IMPACT; SHAPE; FORM;
D O I
10.1016/j.habitatint.2015.11.010
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
The concept of a low carbon city has been widely discussed. The research in low carbon city simulation at the community level, however, is still underexplored. A GIS-based simulation model was proposed for testing how urban form and building typology affect energy performance and carbon emissions. Two urban districts in the City of Macau were chosen as sample test cases based on two approaches of carbon emissions analysis, land use-based and building simulation methods. The result shows that the building simulation method is 20% more accurate than the land use based-method in comparison to the actual measurement by including the factor of building shape in the simulations. The analytical results of energy performance, carbon emissions and solar availability were then used to derive urban design guidelines to move the city development toward a low carbon future. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:206 / 214
页数:9
相关论文
共 50 条
  • [31] A Study on the Innovation of Urban Planning Paradigm Based on Low-Carbon Concept
    Rui, Yang
    Jiao, Linxi
    ADVANCES IN CIVIL ENGINEERING AND ARCHITECTURE INNOVATION, PTS 1-6, 2012, 368-373 : 3427 - +
  • [32] Case study of the upgrade of an existing office building for low energy consumption and low carbon emissions
    Charles, Alexandra
    Maref, Wahid
    Ouellet-Plamondon, Claudiane M.
    ENERGY AND BUILDINGS, 2019, 183 : 151 - 160
  • [33] Does Administrative Division Adjustment promote low-carbon city development? Empirical evidence from the "Revoke County to Urban District" in China
    Li, Xiangyang
    Wang, Lei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (05) : 11542 - 11561
  • [34] Neighborhood-scale urban form, travel behavior, and CO2 emissions in Beijing: implications for low-carbon urban planning
    Liu, Zhilin
    Ma, Jing
    Chai, Yanwei
    URBAN GEOGRAPHY, 2017, 38 (03) : 381 - 400
  • [35] Effect of urban form on microclimate and energy loads: Case study of generic residential district prototypes in Nanjing, China
    Zhang, Mingjie
    Gao, Zhi
    SUSTAINABLE CITIES AND SOCIETY, 2021, 70 (70)
  • [36] Energy performance of the photovoltaic system in urban area - case study
    Zoladek, M.
    Filipowicz, M.
    Sornek, K.
    Figaj, R. D.
    INTERNATIONAL CONFERENCE ON THE SUSTAINABLE ENERGY AND ENVIRONMENTAL DEVELOPMENT, 2019, 214
  • [37] District-scale energy demand modeling and urban microclimate: A case study in The Netherlands
    Mosteiro-Romero, Martin
    Maiullari, Daniela
    Collins, Fiona
    Schlueter, Arno
    Van Timmeren, Arjan
    CLIMATE RESILIENT CITIES - ENERGY EFFICIENCY & RENEWABLES IN THE DIGITAL ERA (CISBAT 2019), 2019, 1343
  • [38] Optimization based planning of urban energy systems: Retrofitting a Chinese industrial park as a case-study
    Zheng, Xuyue
    Qiu, Yuwei
    Zhan, Xiangyan
    Zhu, Xingyi
    Keirstead, James
    Shah, Nilay
    Zhao, Yingru
    ENERGY, 2017, 139 : 31 - 41
  • [39] Utilization of District Morphology for Optimal Energy Performance: A Case Study in Ankara, Turkey
    Kocoglu, Ayse Ozlem Dal
    Ashrafian, Touraj
    MULTIPHYSICS AND MULTISCALE BUILDING PHYSICS, IBPC 2024, VOL 2, 2025, 553 : 397 - 405
  • [40] Evaluation of Land Suitability for Urban Land-Use Planning: Case Study Dhaka City
    Ullah, Kazi Masel
    Mansourian, Ali
    TRANSACTIONS IN GIS, 2016, 20 (01) : 20 - 37