Place-based Atlas for Energy Communities using Energy Performance Certificates Database

Mutani, Guglielmina; Beltramino, Simone; Schiavone, Matteopaolo

doi:10.1109/cando-epe51100.2020.9337766

Cited by 2 publications

(5 citation statements)

References 5 publications

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“…Analysis of the EPC database. The EPC database of residential buildings in the Piedmont Region has been processed and elaborated to support energy retrofitting strategies and to assess the EP of buildings (Mutani et al, 2020a). After the acquisition and analysis of the EPC, homogenous groups were identified.…”

Section: Methodsmentioning

confidence: 99%

“…The use of RES should be supported in favourable areas, by introducing appropriate policies and strategies, and using smart green technologies. Since EPC is a useful tool to obtain information on energy consumption and, consequently, to find solutions that can improve the EP of buildings (Mutani et al, 2020a), the presented work investigates some EE scenarios for low-carbon cities using the EPC database of the Piedmont Region.…”

Section: Research Objectivesmentioning

confidence: 99%

“…The data were processed using a statistical analysis to discard any anomalous data, and the certificates of residential building were grouped into clusters to identify EE measures according to the type of retrofitting interventions and to the installation of renewable energy technologies. Starting from previous research (Mutani & Todeschi, 2020;Mutani et al, 2020a), the EPC database was used to improve the accuracy simulation of two monthly USEMs (the 'H + DWH' model and 'H' model) and to update an existing urban energy atlas of the city.…”

Section: Energy Performance Certificate Databasementioning

confidence: 99%

“…Coordinates and addresses were used to georeference the database in the GIS; the type of users, the geometrical characteristics and the construction period were the main energy-related variables used to identify the building clusters, while the motivation for the release of an EPC was considered to assess each cluster; EP and the energy label were used to analyse the EP of the buildings of each cluster. The procedure used to process the database and discard the anomalous data, which had already been tested in a previous work (Mutani et al, 2020a), is based on median values of EP intensity (kWh/ m 2 /year) for each type of building and homogeneous group of EPCs. In addition, the normal distributions of the EP values, U op , U g , ɳ H and ɳ DHW , were produced in order to implement the statistical analysis.…”

Section: Energy Performance Certificate Databasementioning

confidence: 99%

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GIS-based urban energy modelling and energy efficiency scenarios using the energy performance certificate database

Mutani

Todeschi

2021

Energy Efficiency

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The EU building stock is 97% not energy efficient and the promotion of energy retrofitting strategies is a key way of reducing energy consumptions and greenhouse gas emission. In order to improve the energy performance of buildings, the European Union released the Energy Performance of Buildings and the Energy Efficiency Directives. The certification of the energy performance of a building is a central element of these Directives to monitor and promote energy performance improvements in buildings, with the aim of increasing their energy efficiency level, thereby reducing greenhouse gas emissions. This work evaluates the energy performance of existing residential buildings using the energy performance certificate database and identifies the more effective retrofitting interventions by applying an urban-scale energy model. The novelty of this study is that a new retrofitting database is created to improve the results of a building energy model at urban scale taking into account the real characteristics of the built environment. The here presented GIS-based monthly engineering model is flexible and easily applicable to different contexts, and was used to investigate energy efficiency scenarios by evaluating their effects of city scale. An urban energy atlas was designed for an Italian city, Turin, as a decision-making platform for policy makers and citizens. This energy platform can give information on energy consumption, production and productivity potential, but also on energy retrofitting scenarios. The results of this work show that it is possible to obtain energy savings for space heating of 79,064 MWh/year for the residential buildings connected to the district heating network in the city of Turin; these interventions refer mainly to thermal insulation of buildings envelope with windows replacement and allow a reduction in greenhouse gas emissions of 12,097 tonCO2eq/year.

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Section: Methodsmentioning

confidence: 99%

Section: Research Objectivesmentioning

confidence: 99%

Section: Energy Performance Certificate Databasementioning

confidence: 99%

Section: Energy Performance Certificate Databasementioning

confidence: 99%

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GIS-based urban energy modelling and energy efficiency scenarios using the energy performance certificate database

Mutani

Todeschi

2021

Energy Efficiency

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“…The annual energy performance indicator EPgl,nren is also used to classify the buildings with an energy performance certification [4,5] and the EPgl,nren is therefore calculated through methodologies codified by technical standards and national legislation, in transposition of European directives.…”

Section: Introductionmentioning

confidence: 99%

The Role of the Internal Heat Gains for Artificial Lighting on the Energy Performance of Buildings

Mutani¹,

Nicolo²,

Blaso³

et al. 2021

IJHT

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This paper aims to propose a procedure for calculating the energy performance indexes of buildings considering the seasonality of internal gains due to artificial lighting with a monthly quasi-steady-state energy balance. The proposed methodology evaluates the heat gains due to the integrated natural-artificial lighting system with the Lighting Energy Numerical Indicator (LENI). For the evaluation of buildings’ global energy performance and for some energy services, this contribution cannot be considered constant annually as depend strongly by climate conditions. The effect of daylighting, type of light sources-luminaires, building orientation and shading devices could influence lighting contribution of the internal heat gains. Then, the proposed methodology evaluates the internal heat gains with monthly energy balances. This methodology was applied to the case study of the "Brancaccio" retirement home in Matera (IT) for which the values of the energy performance indexes were compared with the standard normative approach using constant internal heat gains. The results of this work underline the importance of performing a detailed analysis that considers the availability of natural light in the different months of the year, the efficiency of the different lighting systems and their power installed per unit of area as a function of the lighting comfort requirements in the different types of environments.

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Place-based Atlas for Energy Communities using Energy Performance Certificates Database

Cited by 2 publications

References 5 publications

GIS-based urban energy modelling and energy efficiency scenarios using the energy performance certificate database

GIS-based urban energy modelling and energy efficiency scenarios using the energy performance certificate database

The Role of the Internal Heat Gains for Artificial Lighting on the Energy Performance of Buildings

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