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The methodology and the proof-of-concept tool enable stakeholders assess the baseline energy performance of dwellings on a neighbourhood level through use of visualisation techniques and databases.
Airtightness testing is widely undertaken to assess the as-built performance of dwellings, in support of achieving energy and ventilation strategies.
SAP is underpinned by BREDEM and is the recommended tool by the Department of Energy and Climate Change (DECC) for assessing and comparing the energy and environmental performance of dwellings.
More reliable data on energy consumption could help in determining the actual energy performance of dwellings and in the search for the most adequate design for housing and home amenities.
All these models have the same energy calculation engine which is BREDEM Building Research Establishment Domestic Energy Modell) and the Standard Assessment Procedure SAPP) which is recommended by the Department Of Business Energy And Industrial Strategy (BEIS) in the UK as the main tool to underpin BREDEM for assessing and comparing energy performance of dwellings.
Using the results of studies conducted by the authors and from elsewhere, qualified commentary is provided relating to what this form of energy assessment should be used for, and whether improvements can be made in the future as areas of policy look to reflect the recorded energy performance of dwellings through a range of policy vehicles.
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These scenarios were set considering different constructive elements with influence on the thermal performance of the dwellings.
Therefore, the energy performance of the dwellings estimated by the approach of the present research can be compared with the energy performance calculated from actual survey of the property.
The validation study compared the energy performance of the dwellings estimated by the proposed methodology with the energy performance calculated from actual survey and confirmed that the results are consistent.
This paper incorporates and extends on the methodology already established in Mhalas et al. (2014), where a framework that integrates visual systems, databases and a decision support system to rapidly evaluate energy performance of the dwellings is described.
The aim of the present work was to assess the energy performance of 17 dwellings to be constructed in a neighbourhood in the south of Portugal (town of Loulé).
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