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Energies 2017, 10(8), 1102; https://doi.org/10.3390/en10081102

A New Methodology for Assessing the Energy Consumption of Building Stocks

Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
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Received: 23 June 2017 / Revised: 18 July 2017 / Accepted: 24 July 2017 / Published: 27 July 2017
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Abstract

The refurbishment of the existing building stocks represents a great potential for energy savings. To make the refurbishment effective, proper modeling of the current energy performance is needed. In most European countries, few and low quality data on the energy performance and on the refurbishment of building stocks are revealed, which increases the risk of not getting representative results. The article presents a new methodology for an effective bottom-up energy modeling, aimed at evaluating the current energy performance of housing stocks. The model is set up according to the IEE-EPISCOPE Project (Energy Performance Indicator Tracking Schemes for the Continuous Optimisation of Refurbishment Processes in European Housing Stocks, 2013–2016), which developed a framework of reliable data and clearly stated model assumptions, as to overcome the lack of data while guaranteeing transparency. The model, applied to an Italian region, is based on statistical data and uses the building typology approach. The energy performance is calculated by means of a quasi-steady state method. A correlation between the estimated and the real energy consumption is obtained. The model allows disaggregating the residential building stock in subsets to identify the main potential for energy savings in specific contexts. Improvements of the current data availability are strongly advisable to keep the model updated. View Full-Text
Keywords: residential building stock; building energy performance; energy consumption; energy refurbishment; building typology; building stock model; model calibration; energy signature residential building stock; building energy performance; energy consumption; energy refurbishment; building typology; building stock model; model calibration; energy signature
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Ballarini, I.; Corrado, V. A New Methodology for Assessing the Energy Consumption of Building Stocks. Energies 2017, 10, 1102.

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