An integrated simulation method for building energy performance assessment in urban environments

Yang, Xiaoshan; Zhao, Lihua; Bruse, Michael; Meng, Qinglin

doi:10.1016/j.enbuild.2012.07.042

Cited by 210 publications

(111 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Online link: http://dx.doi.org/10.1016/j.scitotenv.2014.03.032 that vegetation can lower the temperature of the air and can increase the humidity of the air during hot summer. These observations are consistent with previous studies (Spangenberg et al, 2008;Yang et al, 2012), suggesting the cooling effects of urban vegetation. However, the reported trends are based on pure modelling exercise, which is subjected to numerous uncertainties -both during evaluation of the individual parameters and from their application in the model formulations.…”

Section: Fig 4 Spatial Plot Of Regeneration Scenarios For Wind Speesupporting

confidence: 83%

“…Such warming, instead of cooling in sub-zero temperatures with low sunlight (hence reduced or negligible evapotranspirative cooling), is owing to the fact that shading and evaporative cooling effect of the vegetation is hugely reduced in winter, which is beneficial for buildings. This has also been observed in another study for winter air temperature simulations (Yang et al, 2012) and attributable mainly to the inactive evaporation from vegetation in low sunlight regime, augmented by the discounted contributions of lost foliage from deciduous trees in winter.…”

Section: Fig 4 Spatial Plot Of Regeneration Scenarios For Wind Speementioning

confidence: 54%

“…The majority of vegetation studies on buildings have focussed mainly on the assessment of thermal comfort (Ali-Toudert and Mayer, 2007;Berkovic et al, 2012;Berry et al, 2013;Santamouris, 2012;Yu and Hien, 2006) and reduced building energy demands (Akbari et al, 2001;Bouyer et al, 2011;Yang et al, 2012). A more recent study evaluated the role of urban green commons -comprising mainly of collectively managed parks, community gardens and allotment areas -in developing resilience and environmental stewardship in cities (Colding and Barthel, 2013).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Impact evaluation of green–grey infrastructure interaction on built-space integrity: An emerging perspective to urban ecosystem service

Tiwary

Kumar

2014

Science of The Total Environment

View full text Add to dashboard Cite

Citation details: Tiwary, A., Kumar, P., 2014. Impact evaluation of green-grey infrastructure interaction on built-space integrity: an emerging perspective to urban ecosystem service. Material loss for steel is estimated to be over 5 times higher than for limestone. GI species selection and seasonal variation influence integrated ecosystem service. AbstractThis paper evaluates the role of urban green infrastructure (GI) in maintaining integrity of built-space. The latter is considered as a lateral ecosystem function, worth including in future assessments of integrated ecosystem services. The basic tenet is that integrated green-grey infrastructures (GGIs) would have three influences on built-spaces: (i) reduced wind withering from flow deviation; (ii) reduced material corrosion/degeneration from pollution removal; and (iii) act as a biophysical buffer in altering the micro-climate. A case study is presented, combining the features of computational fluid dynamics (CFD) in micro environmental modelling with the emerging science on interactions of GGIs. The coupled seasonal dynamics of the above three effects are assessed for two building materials (limestone and steel) using the following three scenarios: (i) business as usual (BAU), (ii) summer (REGEN-S), and (iii) winter (REGEN-W).Apparently, integrated ecosystem service from green-grey interaction, as scoped in this paper, has strong seasonal dependence. Compared to BAU our results suggest that REGEN-S leads to slight increment in limestone recession (<10%), mainly from exacerbation in ozone damage, while large reduction in steel recession (up to 37%) is observed. The selection of vegetation species, especially their bVOC emissions potential and seasonal foliage profile, appear to play vital role in determining the impact GI has on the integrity of the neighbouring built-up environment.

show abstract

Section: Fig 4 Spatial Plot Of Regeneration Scenarios For Wind Speesupporting

confidence: 83%

Section: Fig 4 Spatial Plot Of Regeneration Scenarios For Wind Speementioning

confidence: 54%

mentioning

confidence: 99%

See 1 more Smart Citation

Impact evaluation of green–grey infrastructure interaction on built-space integrity: An emerging perspective to urban ecosystem service

Tiwary

Kumar

2014

Science of The Total Environment

View full text Add to dashboard Cite

show abstract

“…The chosen area shows good presence of vegetation around the main square, while the old town center (on the right) has a typical urban canyon layout: narrow roads and tall buildings. The resolution is an average within the suggested values (minimum 0.5 m -maximum 10 m) [12][13][14][15][16][17] and is a reasonable compromise between accuracy and calculation time. A more accurate resolution would imply a larger model, taking into account that the maximum dimensions allowed by the software are 250 × 250 × 30 cells.…”

Section: Basis Of Applied Methodsmentioning

confidence: 99%

“…A typical time-space resolution of the model is 10 s/0.5-10 m [12][13][14][15][16][17]. Possible employment includes several fields, as urban climatology, architecture, building design, energetic and environmental planning.…”

Section: Basis Of Applied Methodsmentioning

confidence: 99%

Evaluating Mitigation Effects of Urban Heat Islands in a Historical Small Center with the ENVI-Met® Climate Model

et al. 2014

View full text Add to dashboard Cite

Urban morphology and increasing building density play a key role in the overall use of energy and promotion of environmental sustainability. The urban environment causes a local increase of temperature, a phenomenon known as Urban Heat Island (UHI). The purpose of this work is the study of the possible formation of an UHI and the evaluation of its magnitude, in the context of a small city, carried out with the ENVI-met ® software. For this purpose, a simulation was needed, and this simulation is preparatory for a monitoring campaign on site, which will be held in the immediate future. ENVI-met areas and open zones with plenty of vegetation. These gradients arise in a really tiny space (few hundreds of meters), showing that the influence of urban geometry can be decisive in the characterization of local microclimate. Simulations, carried out considering the application of green or cool roofs, showed small relevant effects as they become evident only in large areas heavily built up (metropolis) subject to more intense climate conditions.

show abstract

Engineering Modelling of Building Energy Consumption in Cities: Identifying Key Variables and Their Interactions with the Built Environment

Urquizo

Calderón

James

2019

Computational Science and Its Applications – ICCSA 2019

View full text Add to dashboard Cite

This paper focuses on a spatial domestic energy framework of sub-city areas in the United Kingdom using Newcastle upon Tyne as a case study. The framework estimates the energy end-use at the single dwelling level on three aggregate scales: district, neighbourhood and community. The framework uses two aggregation approaches, one using an approximated prototype-cluster of similar dwellings at the district scale and the other using a novel, sub-city DEM modelling of building and its micro-cohesive energy structures in neighbourhoods and communities. The validation strategy compare the modelled gas and electricity values in three representative districts against the DECC values in two aggregate hierarchical areas for electricity and gas: the DECC Medium Layer Super Output Area (ML-SOA), and the Lower Layer Super Output Area (LLSOA). Our work discusses this framework in key areas: the availability of data, the number of surveyed variables and data processing methods for filling blanks in order to have an individual dwelling's complete energy Standard Assessment Procedure (SAP) profile, methods to provide evidence for finding patterns residing in the data set, methods for estimating the annual composite (gas and electricity) energy consumption for individual and aggregated dwellings, the validation strategy, the uncertainties associated in the data and model, and scaling and replication in other cities.

show abstract

An integrated simulation method for building energy performance assessment in urban environments

Cited by 210 publications

References 11 publications

Impact evaluation of green–grey infrastructure interaction on built-space integrity: An emerging perspective to urban ecosystem service

Impact evaluation of green–grey infrastructure interaction on built-space integrity: An emerging perspective to urban ecosystem service

Evaluating Mitigation Effects of Urban Heat Islands in a Historical Small Center with the ENVI-Met® Climate Model

Engineering Modelling of Building Energy Consumption in Cities: Identifying Key Variables and Their Interactions with the Built Environment

Contact Info

Product

Resources

About