Linking the urban-scale building energy demands with city breathability and urban form characteristics

被引:13
|
作者
Mouzourides, Petros [1 ]
Kyprianou, Andreas [2 ]
Neophyto, Marina K-A [1 ]
Ching, Jason [3 ]
Choudhary, Ruchi [4 ]
机构
[1] Univ Cyprus, Dept Civil & Environm Engn, Environm Fluid Mech Lab, Nicosia, Cyprus
[2] Univ Cyprus, Dept Mech & Mfg Engn, Nicosia, Cyprus
[3] Univ N Carolina, Inst Environm, Chapel Hill, NC 27515 USA
[4] Univ Cambridge, Engn Dept, Cambridge, England
基金
英国工程与自然科学研究理事会;
关键词
Spatio-temporal analysis; City breathability; Heating and cooling; London Westminster; Multi-resolution analysis; Urban energy demands analysis; CONSUMPTION; SOLAR; LONDON; MODELS; LOAD; NEIGHBORHOODS; AVAILABILITY; OPTIMIZATION; OCCUPANTS; CLIMATE;
D O I
10.1016/j.scs.2019.101460
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper we examine the energy demands required for building heating and cooling over a real urban area and how these relate to urban microclimatic parameters; as a result we furthermore show how urban planning can benefit from such relevant considerations for the benefit and prospect of energetically sustainable societies and cities. Specifically, we conduct a multiscale analysis on a validated dataset of the urban energy demands of the Westminster Borough building stock over different seasons as well as on relevant urban information data obtained for the same borough. The aim of this analysis is to investigate the link between urban form characteristics (such as the emerging urban dynamic parameter of the city breathability along with the building height and building packing density) - with the associated urban energy demands for heating and cooling. By using a rigorous scale-adaptive approach, we unveil the intensity of this link between urban energy demands and the urban features and we furthermore deduce how sensitive such links are to the size of the district considered. This new knowledge enables end-users to decipher the degree of impact of proposed actions attributed to technical insights, based on the size of the region over which a decided action is to be implemented in the context of an energy management policy.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] THE ROLE OF URBAN FORM AND SOCIO-ECONOMIC VARIABLES FOR EXTIMATING THE BUILDING ENERGY SAVINGS POTENTIAL AT THE URBAN SCALE
    Delmastro, Chiara
    Mutani, Guglielmina
    Schranz, Laura
    Vicentini, Giovanni
    INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY, 2015, 33 (04) : 91 - 100
  • [32] Determining the most appropriate form of Urban Building Energy Simulation Model for the city of Ahmedabad
    Fennell, Pamela Jane
    Ruyssevelt, Paul Anthony
    Rawal, Rajan
    Poola, Veeren
    PROCEEDINGS OF BUILDING SIMULATION 2019: 16TH CONFERENCE OF IBPSA, 2020, : 3476 - 3483
  • [33] A Bayesian approach with urban-scale energy model to calibrate building energy consumption for space heating: A case study of application in Beijing
    Na, Wei
    Wang, Mingming
    ENERGY, 2022, 247
  • [34] Context Dissemination for Dynamic Urban-Scale Applications
    Morris, Alistair
    Patsakis, Constantinos
    Bouroche, Melanie
    Cahill, Vinny
    MOBILE NETWORKS & APPLICATIONS, 2017, 22 (02): : 305 - 317
  • [35] Context Dissemination for Dynamic Urban-Scale Applications
    Alistair Morris
    Constantinos Patsakis
    Mélanie Bouroche
    Vinny Cahill
    Mobile Networks and Applications, 2017, 22 : 305 - 317
  • [36] URBAN-SCALE VARIATIONS OF TURBULENCE PARAMETERS AND FLUXES
    CHING, JKS
    BOUNDARY-LAYER METEOROLOGY, 1985, 33 (04) : 335 - 361
  • [37] Designing an urban-scale auditory alert system
    Avanzini, F
    Rocchesso, D
    Belussi, A
    Dal Palú, A
    Dovier, A
    COMPUTER, 2004, 37 (09) : 55 - +
  • [38] Large Uncertainties in Urban-Scale Carbon Emissions
    Gately, C. K.
    Hutyra, L. R.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (20) : 11242 - 11260
  • [39] An urban-scale method for building roofs available wind resource evaluation based on aerodynamic parameters of urban sublayer surfaces
    Lv, Guoquan
    Zhao, Kang
    Qin, Yulin
    Ge, Jian
    SUSTAINABLE CITIES AND SOCIETY, 2022, 80
  • [40] Urban building energy prediction at neighborhood scale
    Wang, Wei
    Lin, Qi
    Chen, Jiayu
    Li, Xiangfeng
    Sun, Yiqiao
    Xu, Xiaodong
    ENERGY AND BUILDINGS, 2021, 251