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Novel Energy Trading Models to encourage the use of Smart and Renewable Energy (SRE) Technologies

Project Description

Aim is to design and validate energy trading models that can be used by households to trade energy they save from the use of SRE Technologies with public and/or private sector. The focus of the study will be England.

The project focuses on three interdisciplinary research themes - engineering, social science and business management, thus, will use a mixed methodology.

Engineering methods:
- Computer Simulations in order to identify potential energy generation technologies and energy savings that can be achieved; household energy usage will be first simulated using computer simulation software incorporating new SRE, energy generation, and energy storage technologies.
- Field testing: to check accuracy and validate the simulation results.
- Mathematical modelling to examine energy usage vs. saving in selected households.

Social Science methods:
- Semi-structured interviews followed by a questionnaire with households: to identify barriers to using SRE technologies, and opportunities and potential pitfalls of energy trading.


Applicants must apply using the online form on the University Alliance website at https://unialliance.ac.uk/dta/cofund/how-to-apply/. Full details of the programme, eligibility details and a list of available research projects can be seen at https://unialliance.ac.uk/dta/cofund/

The final deadline for application is 12 April 2019.

Funding Notes

DTA3/COFUND participants will be employed for 36 months with a minimum salary of (approximately) £20,989 per annum. Tuition fees will waived for DTA3/COFUND participants who will also be able to access an annual DTA elective bursary to enable attendance at DTA training events and interact with colleagues across the Doctoral Training Alliance(s).

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801604.

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