Microclimatic coupling as a solution to improve building energy simulation in an urban context

Bouyer, Julien; Inard, Christian; Musy, Marjorie

doi:10.1016/j.enbuild.2011.02.010

Cited by 192 publications

(81 citation statements)

References 18 publications

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“…Urban morphology can be utilized as a tool to understand the existing settlements via decomposing the city components (Oliveira, 2015;Oliveira, 2013) and classifying the existing patterns (Berghauser Pont and Haupt 2010; Urhahn and Bobic, 1994;Gil et al, 2012;Bernabé et al, 2013;Araldi and Fusco, 2017;Fusco and Araldi, 2017), investigating the historical evolution (Giannopoulou et al, 2014;Pinho and Oliveira, 2009). Such studies serve to understand or aim to find a relationship between urban form and urban policies as well as social life (Conzen, 2001) and between urban form and microclimate, thermal comfort, urban cool/heat island and energy consumption (Chatzidimitriou and Yannas, 2016;Bouyer et al 2011).…”

Section: Potential Implications Of Urban Morphology In Urban Designmentioning

confidence: 99%

Quantitative Methods of Urban Morphology in Urban Design and Environmental Psychology

Erin

Araldi

Fusco

et al. 2017

Proceedings 24th ISUF 2017 - City and Territory in the Globalization Age

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Irem Erin¹, Alessandro Araldi², Giovanni Fusco2, Ebru Cubukcu1, ¹City and Regional Planning Department. Dokuz Eylul University. Dokuz Eylül Üniversitesi-Mimarlık Fakültesi Tınaztepe Kampüsü, Doğuş Caddesi No:209, 35160 Buca- IZMIR, Turkey ²Université Côte d’Azur, CNRS, UMR ESPACE. 98 Bd Edouard Herriot, BP 3209 06204 NICE cedex 3, France E-mail: irem.erin@deu.edu.tr, alessandro.araldi@unice.fr, giovanni.fusco@unice.fr, ebru.cubukcu@deu.edu.trTelephone number: +905363341475 Keywords (3-5): Morphological analysis, quantitative methods, urban design, environmental psychology Urban morphology investigates “how cities are built and why, how cities should be built, what should be built and what has actually been built?” (Moudon 1997). Together with the qualitative analysis, the founding fathers of urban morphology also proposed quantitative measures of urban fabrics. Allain's methodological work (2004) presents an overview of these quantitative analyses of topological, dimensional and geometrical relations among form elements in urban fabrics. However, urban morphologists have traditionally resisted computer-based geoprocessing of urban form and their calculations were mainly carried out manually. Thanks to technological developments, the number of quantitative studies in urban morphology has increased and fully integrated geoprocessing. More sophisticated computer-aided analyses have increased the potential applications in urban design and in environmental psychology research. Space Syntax (Hillier 1998) and Multiple Centrality Assessment (Porta et al. 2006) are configurational, multi-scale approaches to the analysis of the urban street network, but miss the interplay between streets, building and parcels composing urban fabric. Space Matrix (Berghauser Pont and Haupt 2010) and, more recently, Multiple Fabric Assessment (Araldi and Fusco 2017) are geoprocessing quantitative approaches to the analysis of urban fabric morphology. This study has two aims; (1) classify quantitative urban morphology methods and (2) discuss how these methods could be applied in urban design and environmental psychology. First, the evolution of these methods along with the theories in urban morphology from qualitative to quantitative approaches will be discussed. Methods will be classified by combining their goals, as well as the morphological objects and the scales on which the analyses will focus. Finally, we will discuss how these methods could be combined and used in two different research perspectives: urban design and environmental psychology. References Allain, R (2004) Morphologie urbaine: géographie, aménagement et architecture de la ville, Paris, Armand Collin Araldi A., Fusco G. (2017) Decomposing and Recomposing Urban Fabric: the City from the Pedestrian Point of View, ICCSA 2017 Proceedings (in press) Berghauser Pont, M., Haupt, P. (2010). SPACEMATRIX, Space, Density and Urban Form. Rotterdam, NAi Publishers. Hillier, B. (1998) Space is the machine: A configurational Theory of Architecture, Cambridge University Press. Moudon, A. V. (1997). Urban morphology as an emerging. Urban morphology,1, 3-10. Porta S., Crucitti P., and Latora V. (2006) The network analysis of urban streets: a primal approach. Environment and Planning B: Planning and Design 33(5):705-725.

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Section: Potential Implications Of Urban Morphology In Urban Designmentioning

confidence: 99%

Quantitative Methods of Urban Morphology in Urban Design and Environmental Psychology

Erin

Araldi

Fusco

et al. 2017

Proceedings 24th ISUF 2017 - City and Territory in the Globalization Age

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“…Although district cooling loads can be acquired with building models, a mountain of work will be done with detailed information of each building including shape, size, function, envelope thermal factors, and so on. On the preliminary stage of planning, these conditions can't be fully afforded because construction solutions of single buildings in the district have not been proposed [8,9]. So how to determine building parameter values of simulation models is the critical problem.…”

Section: Introductionmentioning

confidence: 99%

Virtual Building Medol to Predict Hourly Cooling Load for District Buildings in Urban Planning

Xiang¹,

Long²

2017

Proceedings of the 2nd 2016 International Conference on Sustainable Development (ICSD 2016)

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Abstract-Load prediction is the basis work of district energy planning. Establishing simulation models is a valid method for hourly cooling load. Considering regulatory indexes of buildings play a bridge role between single buildings and the district in urban regulatory planning, the paper discusses relationships of hourly cooling loads between single buildings and the district. The paper builds a virtual building model whose distribution of hourly cooling loads per unit volume is the same as that of superposition of all single buildings in the district. Parameter values of simulation model for the virtual building can been determined by buildings in the district with specific regulations. In the stage of urban regulatory planning, virtual building parameter values can deduced from regulatory indexes. At last, the process of establishing the method with regulatory indexes is proposed in the paper.

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“…Julien Bouyer et al 13 performed studies using energy simulation software, but did not consider sufficient amount of application data. This study presents a new PLM information model to analyze various environmental regulations and green indicators for green manufacturing using the Unified Modeling Language (UML) methodology.…”

Section: Introductionmentioning

confidence: 99%

Energy simulation framework integrated with green manufacturing-enabled PLM information model

Zhao

Jeong

Noh

et al. 2015

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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Manufacturing industry has been facing tremendous pressure on environmental regulations like the reduction of pollutants, e.g., carbon dioxide. Limited natural resources have driven manufacturing companies to seek ways to reduce energy consumption for daily production. Manufacturing industry needs to consider sustainability for green manufacturing during the entire product life cycle. Conventional product life cycle management has not considered energy consumption with respect to product manufacturing. This paper proposes a new product life cycle management information model by considering the sustainability aspects. And a framework is presented to conduct energy simulation for analyzing the impact of sustainability on manufacturing. Analysis results show that the energy simulation using the sustainability-enabled product life cycle management information model could assist the manufacturing industry to save energy.

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Microclimatic coupling as a solution to improve building energy simulation in an urban context

Cited by 192 publications

References 18 publications

Quantitative Methods of Urban Morphology in Urban Design and Environmental Psychology

Quantitative Methods of Urban Morphology in Urban Design and Environmental Psychology

Virtual Building Medol to Predict Hourly Cooling Load for District Buildings in Urban Planning

Energy simulation framework integrated with green manufacturing-enabled PLM information model

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