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Smart Systems and Heat - Developing Knowledge from Data - Review of Mass Surveying Techniques for Houses


Citation ETI Smart Systems and Heat - Developing Knowledge from Data - Review of Mass Surveying Techniques for Houses, ETI, 2017. https://doi.org/10.5286/UKERC.EDC.000677.
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Author(s) ETI
Project partner(s) ETI
Publisher ETI
DOI https://doi.org/10.5286/UKERC.EDC.000677
Download SSH_SS1018_2.pdf document type
Associated Project(s) ETI-SS1203A: Smart Systems and Heat (SSH) Programme - EnergyPath Economics
Associated Dataset(s) No associated datasets
Abstract As part of its Smart Systems and Heat programme the ETI is developing EnergyPath Networks which is a software tool that will be used to develop future local area energy system designs to meet 2050 carbon emission reduction targets. The tool requires data in order to estimate current and future energy demands, and to assess the relative costs and merits of technologies

The document was produced for internal decision making processes and not written with the intention of publishing.
  • As part of the design process the current and future energy use of buildings together with the options for building retrofit must be known.
  • Improved knowledge of local housing stock will help to improve estimates of energy demand in local areas and the appropriate retrofit measures.
  • Knowledge of housing types and ages is an essential first step.
  • Additional informationon the size of individual properties, the level of insulation (or other retrofit measures), the glazing and the heating and hot water system can help to improve estimates beyond those possible when only a simple property archetype has been identified.
  • It will also enable better estimates of the opportunities for retrofit with the potential benefits and associated costs.
  • Cost effective methods will be required to collect and collate this data across large areas.
This document reports the results of research into the methods available to establish information about buildings that is relevant to energy use over wide areas. The intention was to identify currently used methods, their benefits and limitations, and their suitability to providing input data to EnergyPath. Options for improvement of the current surveying techniques were also considered