Reference buildings for cost optimal analysis: Method of definition and application

Corgnati, Stefano Paolo; Fabrizio, Enrico; Filippi, Marco; Monetti, Valentina

doi:10.1016/j.apenergy.2012.06.001

Cited by 190 publications

(126 citation statements)

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“…The recast of the Directive on the Energy Performance of Building (EPBD) [2] imposes the adoption of measures to improve energy efficiency in buildings in order that all new buildings will be nearly Zero Energy Building (nZEB) by 2020. This practice could lead to greenhouse gas emission reduction in the building sector.…”

Section: Introductionmentioning

confidence: 99%

Modelling Zero Energy Buildings: Parametric Study for the Technical Optimization

et al. 2014

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This study was born in the context of new challenges imposed by the recast of the EU Energy Performance of Buildings Directive. The aim of this work is to develop strategies to identify and investigate the relationship between decisional variables within a nZEB design concept, providing a useful method to deal with a huge number of simulations corresponding to a large number of building configurations in order to find one optimized constructive solution. The method combines the use of the TRNSYS® with GenOpt®, in an iterative input-output process. The case study is an existing low-consumption single-family house located in Amberieu-en-Bugey, Rhône-Alpes, France. After a description of the case-study and of its TRNSYS model, the definition and the settings of the parameters are illustrated and a parametric study is performed in order to evaluate the impact of the variation of various envelope features on the annual energy consumptions. The resulted optimal design solution reduces by 20% the current annual energy performance, validating the used optimization method and providing general principles for a good nZEB design.

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Section: Introductionmentioning

confidence: 99%

Modelling Zero Energy Buildings: Parametric Study for the Technical Optimization

et al. 2014

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“…Related to buildings energy consumption at individual building level, many studies have been concentrated on the quality and quantity of the urban building, extremely important for space heating and cooling energy demand [33,34,35]. These analyses do not consider the shape of urban built environment and the different aggregation and configuration of building types, but anyway have been a basis for further correlation to urban form and building energy consumption.…”

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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“…To establish models representative of the national building stocks and, at the same time, to allow a direct cross comparison between countries, it was decided to fix the envelope geometries and the internal gains. Taking into account the data collected by previous studies (Tabula: Ballarini et al 2014;Corgnati et al 2013; Odyssee-Mure: Lapillonne et al 2012) and asking the advice of national experts participating to the research project ENTRANZE, these reference cases were obtained: Additional details about these types are provided in Table 6. Under the ground floors of all the reference buildings, there is an unconditioned basement.…”

Section: Defining the Reference Building Typesmentioning

confidence: 99%

Identification of cost-optimal and NZEB refurbishment levels for representative climates and building typologies across Europe

et al. 2017

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The energy consumptions of the building stock are playing a central role in the energy policy of the European Union. While the Member States are applying the Directives in force, the European Commission is working to update the regulatory framework. Specifically, it is necessary to achieve the great unrealized potential for energy savings in existing buildings. With this aim, the nearly zero-energy building (NZEB) target was introduced, and a comparative methodology framework to calculate cost-optimal levels of minimum energy performance requirements was proposed. This study focuses on the issue of building renovation, and it presents the results obtained with the application of a cost-optimal calculation method for identifying proper retrofit measures to reach costoptimal levels and NZEB levels. The assessment takes into account an exhaustive set of passive and active renovation options and it was extended to various building types of 60s-70s (residential and non-residential) in a wide range of representative European climatic conditions. A very relevant energy-saving potential was found for all cost-optimal benchmarks, and in many cases, the obtained NZEB refurbishments have resulted interesting also from an economic point of view.

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Reference buildings for cost optimal analysis: Method of definition and application

Cited by 190 publications

References 10 publications

Modelling Zero Energy Buildings: Parametric Study for the Technical Optimization

Modelling Zero Energy Buildings: Parametric Study for the Technical Optimization

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

Identification of cost-optimal and NZEB refurbishment levels for representative climates and building typologies across Europe

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