Impact of neighbourhood-scale climate characteristics on building heating demand and night ventilation cooling potential

Xie, Xiaoxiong; Şahin, Özge; Luo, Zhiwen; Yao, Runming

doi:10.1016/j.renene.2019.11.148

Cited by 32 publications

(9 citation statements)

References 52 publications

(64 reference statements)

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“…Relevant research was done mainly through field measurement and simulation of different types of street canyons to study the impact of street canyon design parameters on thermal comfort, and mitigation strategies were proposed [77,78]. By analyzing the impact of different layouts during the nights on the block scale, Xie found that the courtyard area shows better performance for reducing heating demand and enhancing ventilation, while the street canyon area shows relatively poor environmental conditions [79]. Cluster #10, building characteristics, was active in 2006-2012.…”

Section: Group 2: Elements Of Urban Formmentioning

confidence: 99%

Knowledge Map of Urban Morphology and Thermal Comfort: A Bibliometric Analysis Based on CiteSpace

2021

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In the context of global climate change, urban morphology is closely related to thermal comfort and contributes to sustainable urban development. Academics started to pay attention to related topics and carried out many studies during the last decades. This paper aims to summarize the research achievements and the development track for future studies. The Web of Science database and CiteSpace were used in this paper to conduct a bibliometric analysis of 556 studies in related fields from 1993 to 2020. Using a three-level co-occurrence analysis of 446 keywords, 1187 cocited literature clusters, and 15 landmark studies, the research topics and mainstream research frameworks were identified. The results show that with the increasing participation of disciplines such as computer science, ecology, and chemistry, the purpose of future research will shift to a focus on anthropogenic heat emissions, energy consumption, air pollution, and other aspects, and new research tools will be needed. In addition to building-scale and block-scale morphology, urban-scale morphology and green infrastructure will become the focus in the future. This study provides a systematic review of research about urban morphology and thermal comfort, which can inspire other researchers and policy makers.

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Section: Group 2: Elements Of Urban Formmentioning

confidence: 99%

Knowledge Map of Urban Morphology and Thermal Comfort: A Bibliometric Analysis Based on CiteSpace

2021

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“…e spatial morphology of the university campus influences the microclimate of the campus [7,8], and architectural clusters have the greatest influence on the duration of direct solar radiation and the mean radiation temperature [9]. Unlike outdoor spaces on campuses, enclosed areas have good performance for reducing the heating energy consumption and enhancing natural ventilation and cooling [10]. Moreover, the structures on campuses have a significant impact on outdoor solar radiation and wind [11].…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Design Strategy Based on Building Morphology to Improve the Microclimate of University Campuses in Cold Regions of China Using an Optimization Algorithm

Chen

Cui

Mei

2021

Mathematical Problems in Engineering

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The microclimate affects the quality and efficiency of outdoor spaces of campuses, especially in the cold regions of China. In this paper, we propose a multiobjective optimization method to improve the thermal comfort of the outdoor environment of university campuses in severe cold regions. We used morphology data from 41 universities in the cold region of China to create a layout prototype of a campus cluster. Multiobjective optimization was used, and the effects of sunlight, solar radiation, and wind on the outdoor thermal comfort in winter were considered. A parameterized platform was established for the multiobjective optimization of the microclimate of the simplified model of the campus. A multiobjective optimization based on an evolutionary algorithm was used to obtain 108 groups of nondominated solutions. The optimum outdoor microclimate of the campus was obtained at a building density of 0.21–0.23, a plot ratio of 1.51–1.88, and a road width of 11–14 m. We recommend that buildings are designed based on the wind direction in winter and that the space between buildings is increased.

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“…Kolokotroni et al [6] discovered that, in addition to distance from the city centre, energy demand is Energies 2021, 14, 5208 2 of 25 dependent on several site-specific parameters, especially parameters related to vegetation cover and building density surrounding that site. For example, the variation in annual heating demand of different built forms could be between 1.1 and 7.3%, the lowest heat demand is the courtyard in UK [7]. The impacts of the UHI on building energy can lead to both economic savings from the reduced need to warm buildings [8] but also can incur vast economic costs due to the additional requirement to cool buildings.…”

Section: Introductionmentioning

confidence: 99%

Crowdsourcing Urban Air Temperature Data for Estimating Urban Heat Island and Building Heating/Cooling Load in London

2021

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Urban heat island (UHI) effects significantly impact building energy. Traditional UHI investigation methods are often incapable of providing the high spatial density of observations required to distinguish small-scale temperature differences in the UHI. Crowdsourcing offers a solution. Building cooling/heating load in 2018 has been estimated in London, UK, using crowdsourced data from over 1300 Netatmo personal weather stations. The local climate zone (LCZ) scheme was used to classify the different urban environments of London (UK). Inter-LCZ temperature differences are found to be generally consistent with LCZ temperature definitions. Analysis of cooling degree hours in July shows LCZ 2 (the densest urban LCZ in London) had the highest cooling demand, with a total of 1550 cooling degree hours. The suburban related LCZs 5 and 6 and rural LCZs B and D all had about 80% of the demand of LCZ 2. In December, the rural LCZs A, B and D had the greatest heating demand, with all recording around 5750 heating degree hours. Urban LCZs 2, 5 and 6 had 91%, 86% and 95% of the heating demand of LCZ D, respectively. This study has highlighted both advantages and issues with using crowdsourced data for urban climate and building energy research.

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Impact of neighbourhood-scale climate characteristics on building heating demand and night ventilation cooling potential

Cited by 32 publications

References 52 publications

Knowledge Map of Urban Morphology and Thermal Comfort: A Bibliometric Analysis Based on CiteSpace

Knowledge Map of Urban Morphology and Thermal Comfort: A Bibliometric Analysis Based on CiteSpace

A Sustainable Design Strategy Based on Building Morphology to Improve the Microclimate of University Campuses in Cold Regions of China Using an Optimization Algorithm

Crowdsourcing Urban Air Temperature Data for Estimating Urban Heat Island and Building Heating/Cooling Load in London

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