The demand side management and storage research projects will be presented as a group in one single session. You can download a PDF of the combined presentations after the conference.


Cost-effective electricity storage: which technology will be the winner?

Student: Sylvain Melchior
Supervisor(s): Dr Iain Staffell (Centre for Environmental Policy), Mr Oliver Schmidt (Centre for Environmental Policy)

The purpose of the project is to determine which technology is likely to be the most competitive within the following years for a range of specific services (frequency response, arbitrage...). The levelised cost of storage (in $/MWh) will be used as the comparative metric.

Degradation of Lithium-ion Batteries

Student: Jean Morille
Supervisor(s): Professor Nigel Brandon (Department of Earth Science & Engineering), Dr Samuel  Cooper (Dyson School of Design Engineering), Mr Adrien Lebrun (Green Hedge)

This thesis was conducted in partnership with Green Hedge, a London-based company doing project development of lithium-ion battery storage. As batteries are expensive to replace, estimating battery degradation is essential in order to perform a precise techno-economic analysis. To do so, an advanced degradation model was implemented on Python and validated with several sets of experimental data.

Demand side management with supply constraints: Game theoretic approach

Student: Sana Noor
Supervisor(s): Dr Xiaonan Wang (Department of Chemical Engineering), Professor Nilay Shah (Department of Chemical Engineering)

Demand side management (DSM) is becoming a potential game changer in the energy sector as the sector sees a transition towards a sustainable and green future. This project aims to develop a DSM model using game theoretic approach for developing countries where the energy sector is characterised by supply shortfalls and scheduled load-shedding. It will evaluate DSM’s role in eliminating load-shedding, smoothing out the peaks in demand and its potential co-benefits for consumers and the governments.

Assessment of the value of different frequency response times in power systems

Student: Yifu Ding
Supervisor(s): Dr Roberto Moreira (Department of Electrical and Electronic Engineering), Dr Salvador Acha (Department of Chemical Engineering), Mr Dagoberto Cedillos (Open Energi) 
Poster number: #10 Download PDF AVAILABLE AFTER CONFERENCE

The UK government renewable strategy stated that 30% of the UK electricity demand will be met by renewable generation by 2020. In order to fulfill this target, large-scale renewable generation has been deployed along with the closure of thermal power plants. As a consequence, the demand for both system flexibility and balancing services has increased. In this context, the research carried out in this MSc project outlines the current and future status of balancing services and assesses the value of different response/reaction times, especially for frequency response services. The project scope is to quantify the current and future value of a new service, sub-second frequency response.

Equivalent circuit modelling of all-vanadium redox flow battery for online battery state and parameter estimations based on extended Kalman filter

Student: Meng Zhang
Supervisor(s): Professor Nigel Brandon (Department of Earth Science & Engineering), Dr Samuel Cooper (Dyson School of Design Engineering)
Poster number: #11 Download PDF AVAILABLE AFTER CONFERENCE

My project focuses on the equivalent circuit modelling of the all-vanadium redox flow battery (VRFB). Equivalent circuits offer excellent adaptability and simplicity over other electromechanical modelling methods for analysing the VRFB system. Building an equivalent circuit model that reflects the time-dependence process of VRFB is a crucial step for incorporating these systems into the grid.