Optimisation of buildings’ solar irradiation availability

Kämpf, Jérôme Henri; Montavon, Marylène; Bunyesc, Josep; Bolliger, Raffaele; Robinson, Darren

doi:10.1016/j.solener.2009.07.013

Cited by 104 publications

(42 citation statements)

References 4 publications

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“…Generally speaking, most papers investigating energy issues at the neighbourhood/community scale focus on either the impact of urban form on energy consumption in buildings [e.g., [24][25][26] or the potential of solar energy utilisation for active and passive solar heating as well as photovoltaic electricity production, lighting and related energy supply and demand [e.g., [27][28][29][30]. Hachem et al [31] studied and compared the electricity generation potential of neighbourhoods and their energy performance in terms of heating and cooling and found out that a significant increase in total electricity generation can be achieved by the building integrated photovoltaic systems of housing units of certain shape-site configurations, as compared to their reference case.…”

Section: Zero Energy At the Neighbourhood/community Scalementioning

confidence: 99%

A simplified framework to assess the feasibility of zero-energy at the neighbourhood/community scale

Marique

Reiter

2014

Energy and Buildings

134

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a b s t r a c t Zero-energy buildings (ZEBs) are attracting increasing interest internationally in policies aiming at a more sustainably built environment, the scientific literature and practical applications. Although "zero energy" can be considered at different scales (e.g., community, city), the most common approach adopts only the perspective of the individual building. Moreover, the feasibility of this objective is not really addressed, especially as far as the retrofitting of the existing building stock is concerned. Therefore, this paper aims first to investigate the opportunity to extend the "zero-energy building" concept to the neighbourhood scale by taking into account two main challenges: (1) the impact of urban form on energy needs and the on-site production of renewable energy and (2) the impact of location on transportation energy consumption. It proposes a simplified framework and a calculation method that is then applied to two representative case studies (one urban neighbourhood and one rural neighbourhood) to investigate the feasibility of zero-energy in existing neighbourhoods. The main parameters that act upon the energy balance are identified. The potential of "energy mutualisation" at the neighbourhood scale is highlighted. This paper thereby shows the potentialities of an integrated approach linking transportation and building energy consumptions.

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Section: Zero Energy At the Neighbourhood/community Scalementioning

confidence: 99%

A simplified framework to assess the feasibility of zero-energy at the neighbourhood/community scale

Marique

Reiter

2014

Energy and Buildings

134

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“…In Kämpf et al (2010), it is coupled with an evolutionary algorithm to optimize the design of a set of about 32 buildings with different, predefined block layouts in terms of their volume for their received annual irradiation offset by their thermal losses. Taking into account also the surroundings of the buildings their spatial scales span the buildings up to the district.…”

Section: State-of-the-artmentioning

confidence: 99%

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

Schüler

Cajot

Peter

et al. 2018

Front. Built Environ.

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This article presents the development and application of a methodology that employs optimization not to seek the single or few optimal plan(s) but to provide planners with a systematic overview of their decision space. As urban development projects are not only subject to decisions of planners but also to those of many actors, the insight about how different actors would decide based on the decisions of the planners should enable planners to already adapt their decisions to ensure that final project targets are reached. The existence of different decision makers is considered via a multiparametric mixedinteger linear programming (mpMILP) approach. Along with the methodology a model was developed, which incorporates multiple domains and scales. Those domains include social, environmental, form, energy, and economic aspects. The considered scales range from single floors up to a neighborhood. Model and methodology were applied to a greenfield development project. Two practical questions are answered, which address the impact of planning decisions about (a) the building density and the sustainability of the energy supply on costs of different actors and (b) the building density and the share of parks on the view on a landmark. The capturing of the decision space revealed trade-offs in terms of chosen energy supply system and urban form, respectively. The presented computational method forms part of the decision support tool URB io , which shall assist urban planning.

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“…Land use [5,6] Environment, climate, thermal comfort [7,8,9,10,11,12,13,14,15] Daylight availability and solar potential [7,15,16,17,18,19,20,21] Energy consumption in: mobility [16,22,23,24,25,26,27] buildings [15,27,28,29,30] In these analyses usually the city is dived into building blocks/textures with group of private/public buildings, open spaces and streets. The division allows defining the urban metric [31] which is extremely useful to define parameters for measuring physical quantities related to environmental monitoring [12] and for energy efficiency analysis [32].…”

Section: Application Field Main Referencesmentioning

confidence: 99%

The Role of Urban Form and Socio-Economic Variables for Extimating the Building Energy Savings Potential at the Urban Scale

Delmastro¹,

Mutani²,

Schranz³

et al. 2015

IJHT

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In the past, to make the city liveable, the urban morphology has always be considered taking into account the climate, the buildings' density and characteristics, the type of inhabitants and their social condition. On the contrary, recently in the urban planning process the morphological aspects are no more included even if they influence the energy consumption, the thermal comfort of the urban spaces and the district air quality. Moreover, the socio-economic conditions of inhabitants might strongly affect the lifestyle choice and behavior of building occupants and thus, the probability of success of urban planning measures for energy conservation. The present study aims to: 1) identify the correlation between thermal energy consumption for space heating and urban variables and 2) investigate the role of socio-economic variables in energy savings potential. The city of Turin is suitable for these analyses because it is characterized by different urban forms and urban spaces and by various characteristics of the population. By using a GIS tool, the district 3, chosen as a case study, has been divided into different urban textures considering their urban and socio-economic characteristics. The results of this study show that the measured energy consumption of single building depends on the physical building features (f.i. thermal insulation level, the compactness, the energy system efficiency etc.) but also on the urban form and the streets' orientation. Another important result is that the social and economic situation of inhabitants has a relevant role in the success of sustainable policies. These conclusions may support urban planners in the definition of new urban areas with some "preliminary" energy savings measures at no cost and in formulating tailored policies according to socio-economic conditions from district to district.

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Optimisation of buildings’ solar irradiation availability

Cited by 104 publications

References 4 publications

A simplified framework to assess the feasibility of zero-energy at the neighbourhood/community scale

A simplified framework to assess the feasibility of zero-energy at the neighbourhood/community scale

The Optimum Is Not the Goal: Capturing the Decision Space for the Planning of New Neighborhoods

The Role of Urban Form and Socio-Economic Variables for Extimating the Building Energy Savings Potential at the Urban Scale

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