UKERC EDC: Publications

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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

Publication Year:

2017

Publisher:

ETI

DOI:

https://doi.org/10.5286/ukerc.edc.000677

Author(s):

ETI

Energy Categories

Class Name:

Subclass Name:

Category Name:

Energy Efficiency

Residential and commercial

Other Cross-Cutting Technologies or Research

Other Supporting Data

Language:

English

File Type:

application/pdf

File Size:

716363 B

Rights:

Energy Technologies Institute Open Licence for Materials

Rights Overview:

The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.

Further information:

N/A

Region:

United Kingdom

Publication Type:

Technical Report

Subject:

Social Factors

Theme(s):

Smart Systems and Heat

Related Dataset(s):

No related datasets