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Building heating and cooling load under different neighbourhood forms: Assessing the effect of external convective heat transfer

  • Pengyuan Shen*
  • , Mingkun Dai
  • , Peng Xu
  • , Wei Dong
  • *Corresponding author for this work
  • School of Architecture, Harbin Institute of Technology Shenzhen
  • Harbin Institute of Technology Shenzhen
  • Tongji University
  • Harbin institute of technology

Research output: Contribution to journalArticlepeer-review

Abstract

Neighbourhood form imposes complex effects on the local microclimate. The overlook of neighbourhood microclimate will lead to miscalculation of building energy performance. In this paper, a neighbourhood-scale building simulation coupled between building energy simulation and CFD is proposed to assess the impact of external convective heat transfer coefficient (CHTC) to the building thermal performance. The co-simulation is run for different types of buildings inside the neighbourhood with different combinations of neighbourhood form parameters. The developed simulation scheme allows the iterations of neighbourhood design parameters and simulation model generation in CFD and EnergyPlus. Five empirical methods are used to predict CHTC, and the results of CHTC values, heating and cooling load intensity are compared in detail with the proposed CFD coupled method. The results suggest that the orientation and multiplier are crucial to the building load intensity in Chicago and the neighbourhood form can affect the thermal load of residential building up to about +27.1% and −18.6%, and +17.2% and −7.7% for office buildings. The proposed method and framework in this paper is capable of generating design guidelines for the optimal energy performance of the buildings in the neighbourhood.

Original languageEnglish
Pages (from-to)75-91
Number of pages17
JournalEnergy
Volume173
DOIs
StatePublished - 15 Apr 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Building simulation
  • Computational fluid dynamics
  • Decision tree
  • Heat transfer
  • Heating and cooling load
  • Neighbourhood design

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