UKERC EDC: Publications

DE_DE2002_15.pdf

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Abstract:

This project quantified the opportunity for Macro level Distributed Energy (DE) across the UK and accelerate the development of appropriate technology by 2020 for the purposes of significant implementation by 2030. The project studied energy demand such as residential accommodation, local services, hospitals, business parks and equipment, and is developing a software methodology to analyse local combinations of sites and technologies. This enabled the design of optimised distributed energy delivery solutions for these areas.

This deliverable is number 1 of 3 in Work Package 2. Its objective is to develop a methodology for forecasting energy demand profiles across residential and tertiary (light industry) properties in a given geographical area. In addition the report estimates the level of confidence in the methodology. The demand profiles generated form the basis for demandaggregation modelling in Work Package 4.

We believe that the methodology for the residential therrmal demand is sound and there is sufficient data such that a 10% uncertainty is reflective of the potential propagating error for the UK. While the tertiary sector data methodology is sound, there are two key issues with the datasets that may cause the larger error:

The registered company information databases used in the tertiary sector demand calculations contain many records that are missing the number of employee data;
Conversions between employee numbers and building floor area can only currently be performed at large tertiary sector groupings. The contribution of demand uncertainty from the tertiary component could be projected and tracked in the resulting demand calculations.
The temporal resolution of the demand is good and the method, based on energy transporter load prediction techniques, seems able to predict the main trend and features of residential thermal demand

Publication Year:

2010

Publisher:

ETI

DOI:

https://doi.org/10.5286/ukerc.edc.000277

Author(s):

McKoen, K., Koch, A., Murshed, S.M., Meidl, P., Nichersu, A., Jumel, S. and Limani, B.

Energy Categories

Class Name:

Subclass Name:

Category Name:

Other Cross-Cutting Technologies or Research

Energy system analysis

Energy Models

Language:

English

File Type:

application/pdf

File Size:

2711332 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:

Technology

Theme(s):

Distributed Energy

Related Dataset(s):

No related datasets