Spatialec | Developing methods to model local area temporal domestic electricity demand

Summary
The objective of this proposal is to implement a programme of research and impact activities intended to provide a step change in the level of understanding of, and modelling capacity for, spatially disaggregated temporal domestic electricity demand in a smart grid and demand response context. This programme will be developed in partnership with internationally recognised experts led by the University of Otago (host) who are pioneering in this field. It will be exploited via an applied research programme at the University of Southampton (beneficiary) which intends to integrate census, social science time use and detailed consumption data to develop local area level demand response models to support the analysis of a range of demand response scenarios. In so doing the fellowship will provide the applicant with a foundation from which to build a new career pathway by applying his substantial existing social scientific data analysis and spatial microsimulation expertise to the development and leadership of a substantial new European research capacity in an area of emerging commercial, societal and political significance.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/700386
Start date: 01-12-2017
End date: 31-10-2020
Total budget - Public funding: 257 017,35 Euro - 257 017,00 Euro
Cordis data

Original description

The objective of this proposal is to implement a programme of research and impact activities intended to provide a step change in the level of understanding of, and modelling capacity for, spatially disaggregated temporal domestic electricity demand in a smart grid and demand response context. This programme will be developed in partnership with internationally recognised experts led by the University of Otago (host) who are pioneering in this field. It will be exploited via an applied research programme at the University of Southampton (beneficiary) which intends to integrate census, social science time use and detailed consumption data to develop local area level demand response models to support the analysis of a range of demand response scenarios. In so doing the fellowship will provide the applicant with a foundation from which to build a new career pathway by applying his substantial existing social scientific data analysis and spatial microsimulation expertise to the development and leadership of a substantial new European research capacity in an area of emerging commercial, societal and political significance.

Status

CLOSED

Call topic

MSCA-IF-2015-GF

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2015
MSCA-IF-2015-GF Marie Skłodowska-Curie Individual Fellowships (IF-GF)