How building energy models take the local climate into account in an urban context – A review

Lauzet, Nicolas; Rodler, Auline; Musy, Marjorie; Azam, Marie-Hélène; Guernouti, Sihem; Mauree, Dasaraden; Colinart, Thibaut

doi:10.1016/j.rser.2019.109390

Cited by 77 publications

(28 citation statements)

References 95 publications

(146 reference statements)

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“…However, these energy models only consider a few of the variables that actually influence the energy consumption of buildings at the urban scale [10], such as the presence of greenery [11], the albedo [12], the canyon effect [13], or the local climate conditions [14]. Indeed, designing these models at an urban scale is a complex task, since the available data usually lack some building-scale details; there is the need to make the right trade-off between model precision and the management of large amounts of data at different scales [15].…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Models at Urban Scale to Measure Energy Resilience

2020

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Energy resilience can be reached with a secure, sustainable, competitive, and affordable system. In order to achieve energy resilience in the urban environment, urban-scale energy models play a key role in supporting the promotion and identification of effective energy-efficient and low-carbon policies pertaining to buildings. In this work, a dynamic urban-scale energy model, based on an energy balance, has been designed to take into account the local climate conditions and morphological urban-scale parameters. The aim is to present an engineering methodology, applied to clusters of buildings, using the available urban databases. This methodology has been calibrated and optimized through an iterative procedure on 102 residential buildings in a district of the city of Turin (Italy). The results of this work show how a place-based dynamic energy balance methodology can also be sufficiently accurate at an urban scale with an average seasonal relative error of 14%. In particular, to achieve this accuracy, the model has been optimized by correcting the typological and geometrical characteristics of the buildings and the typologies of ventilation and heating system; in addition, the indoor temperatures of the buildings—that were initially estimated as constant—have been correlated to the climatic variables. The proposed model can be applied to other cities utilizing the existing databases or, being an engineering model, can be used to assess the impact of climate change or other scenarios.

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Section: Introductionmentioning

confidence: 99%

Energy Consumption Models at Urban Scale to Measure Energy Resilience

2020

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“…Local weather conditions determine the heat and mass flow between buildings and their environment through (1) conductive and convective heat flux at the urban surfaces, (2) solar and long-wave radiation exchange, and (3) sensible and latent heat transfer through ventilation and infiltration [11]. Hence, urban climate and microclimate can strongly influence building energy use, demand, and building thermal resilience.…”

Section: Introductionmentioning

confidence: 99%

Urban microclimate and its impact on building performance: A case study of San Francisco

Hong

Sun

et al. 2021

Urban Climate

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Urban microclimate exerts an increasing influence on urban buildings, energy, and sustainability. This study uses 10-year measured hourly weather data at 27 sites in San Francisco, California, to (1) analyze and visualize the urban microclimate patterns and urban heat island effect;(2) simulate annual energy use and peak electricity demand of typical large office buildings and large hotels to investigate the influence of urban microclimate on building performance; (3) simulate indoor air temperature of a single-family house without air-conditioning during the record threeday heatwave of 2017, to quantify the divergence of climate resilience due to urban microclimate effect. Results show significant microclimate effects in San Francisco with up to 11℃ outdoor air temperature difference between the coastal and downtown areas on September 1, 2017, during the record three-day heatwave. The simulated energy results of the prototype large office and large hotel buildings using the 2017 weather data show over 100% difference in annual heating energy use and 65% difference in annual cooling energy use across different stations; as well as up to 30% difference in peak cooling electricity demand. The impacts on annual site or source energy use are minimal (less than 5%) as cooling and heating in a mild climate are a relatively small portion of overall building energy use in San Francisco. Results also show the microclimate effects influence indoor air temperature of unconditioned homes by up to 5℃. Newer buildings and homes are much less affected by microclimate effects due to more stringent performance requirements of the building envelope and energy systems. These findings inform that San Francisco microclimate variations should be considered in urban energy planning, building energy codes and standards, as well as heat resilience policymaking.

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“…In this case, the sky view factor decreases, which limits the radiation cooling of the sky. In addition, solar and infrared interflections are increasing with the surfaces of neighboring buildings [2]. The surrounding buildings significantly alter the airflow and redirect it.…”

Section: Introductionmentioning

confidence: 99%

Factors affecting microclimatic conditions in urban environment

Giyasova

2021

E3S Web Conf.

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Urbanization leads to dramatic changes in urban microclimate, and becomes a serious problem in terms of ensuring comfortable and healthy living of city dwellers. The main factors affecting the microclimate of urban environment are not only the geographical features of cities, but also the density of buildings, the environmental concerns, the thermal response of buildings, the influence of plants and water bodies. The problem of the urban microclimate optimization is multifaceted since various factors affect changes in the urban environment. Thus an integrated multilevel systematic approach to studying the problems of the formation of the urban microclimate is required. Integrating the accumulated knowledge and practices in the research domain with design work is important.

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How building energy models take the local climate into account in an urban context – A review

Cited by 77 publications

References 95 publications

Energy Consumption Models at Urban Scale to Measure Energy Resilience

Energy Consumption Models at Urban Scale to Measure Energy Resilience

Urban microclimate and its impact on building performance: A case study of San Francisco

Factors affecting microclimatic conditions in urban environment

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