Tag Archives: Energy Systems

UKRI Future Leaders Fellowship Award

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Xin Zhang works as a Senior Lecturer in Electronic and Electrical Engineering at Brunel University London and was recently awarded a UKRI Future Leaders Fellowship.

Transition from Industry to Academia

I worked at National Grid ESO for eight years before I returned to academia as a senior lecturer. My industry work involved in the real-time operation of the UK Electricity Transmission Systems, where I worked on shift patterns with five other shift teams and over a hundred engineers. We worked together to ensure the electricity supply met demand on a second-by-second basis, a core function of a GB Electricity System Operator.

“I am proud to tell my neighbours and friends that I was one of the power system engineers to keep the lights on”

My motivation to move to academic research initiated from a night shift when I was on the energy desk, there was so much wind on the system and the whole system was reaching security limits. I started to think about future technologies and solutions to solve real-time engineering problems. One day, I felt the power systems needed fundamental changes to accommodate more renewables, which has evolved so fast from 5% to almost 50% in the past ten years. Such fundamental change could be the combination of “3D – decarbonisation, decentralisation and digitalisation”, where I was so looking forward to participating in such energy system transitions.

I decided to take up a senior lecturer position in energy systems (future grid) at Cranfield University in April 2019. I remember the last day when I worked in the Electricity National Control Centre, I had finished my night shift at 7:00am and handed over my company budget. I told myself that I have now become a full-time academic researcher.

Research Funding

Changing career from industry to academia is never easy, particularly to establish myself in an academic research environment, where I need to set up my own research team and agenda. Research funding is a key factor to grow and sustain my research activities. In the first six months of my research career, I was lucky enough to receive my first research grant from the Flexible Fund Call from the Supergen Energy Networks Hub.

I went through a competitive funding selection process from project outlines to full proposal development. I was firmly supported by the Supergen Flexible Fund as my start-up grant to recruit my first research assistant, as well as to set up my first PhD student. With this initial support, I managed to publish two important journal papers to establish myself in the field, as well as to successfully secure future research funding including two T-TRIG grants from the Department for Transport, as well as an EPSRC Doctoral Training Partnership award.

I worked closely with the Supergen Energy Networks Hub in most of my funding applications as well as research activities. Through the Supergen Energy Networks Hub, I connected with several relevant industrial partners to strengthen my research, I was mentored by several senior Hub members. As an Early Career Researcher (ECR), I particularly valued the networking support from the Supergen Energy Networks Hub through the various hybrid events, including the Industrial Advisory Committee meetings, research webinars and regular Hub meetings in Manchester, Birmingham and London.

“Transiting career from industry to academia is never easy, that’s why I am so glad to receive a prestigious £1.8m UKRI Future Leaders Fellowship to make it happen.”

Future Leaders Fellowship

I recently applied for a Future Leaders Fellowship, during the  application process, I was supported by the Hub’s internal proposal review and mock interview, which ensured that I receive the best possible support from the Energy Networks community.

In my project: “Digitalisation of Electrical Power and Energy Systems Operation”,  I will lead the application and development of advanced digital technologies for the energy sector in order to improve the interoperability and whole system reliability of real-time power system operation with up to 100% low-carbon and renewable energy. This will support the digital transformation across electrical power and energy systems in order to achieve the UK’s net-zero emissions target.

The research project associated with my Fellowship will pioneer the development of cyber-physical energy systems modelling methods and co-simulation platform-as-a-service approaches to enhance real-time power system operation. The novel techniques will be deployed with regard to energy management systems in order to enhance the reliability and interoperability at the whole system level across electricity system operators (transmission, distribution and renewables).

Next Steps

I am confident in achieving future leadership in power and energy system digitalisation and leading an internationally-recognised research team supported by 11 industrial partners and research societies including Supergen Energy Networks Hub as a key project partner.

“Future Leaders Fellowships support talented people in universities, businesses, and other research and innovation environments. The aim of the scheme is to develop the next wave of world-class research and innovation leaders in academia and business.”

My Future Leaders Fellowship project will closely link with the Supergen Energy Networks Hub, with a consortium of Universities. Supported by Supergen, I will expand my academic networks with other key stakeholders in the UKRI Energy Programme including the Supergen Programme. This is important to further develop my international influence and new relationships, a key strategy to develop as a future leader in research and innovation.

Combined capacity and operation optimisation for multi-vector local energy systems

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Academics and researchers involved in the EPSRC Supergen Energy Networks Hub, based in the School of Engineering at University of Warwick, Dr Dacheng Li, Mr Songshan Guo, Dr Wei He, Mr Markus King and Prof Jihong Wang recently published the paper “Combined capacity and operation optimisation of lithium-ion battery energy storage working with a combined heat and power system” in Elsevier’s journal Renewable and Sustainable Energy Reviews.

About the Author

Dr Dacheng Li has worked as an Assistant Professor, Associate Professor in Chinese Academy of Sciences since 2012, and joined the Power and Control Systems Research Laboratory, University of Warwick in 2019. His research focuses on the intelligent optimisation of energy storage (i.e., Phase Change Materials, Compressed air, Lithium-ion Battery) based multi-vector energy systems. He has worked as a project leader sponsored by the National Natural Science Foundation of China and the Key deployment project of Chinese Academy of Sciences for optimisation and demonstration of kW, MW-level energy storage systems.  Currently, he is involved in the RCUK’s Energy Programme and works on self-powered active cooling and cleaning technology for solar PV systems to improve the efficiency of renewable energy utilisation. Additionally, he is participating in the investigation on the on-line condition monitoring for biomass power plant mills. He has published more than 20 academic articles in leading journals and conferences, and 6 patents have been applied or authorised.

Contact email: dacheng.li@warwick.ac.uk

About the Paper

The paper reports the work completed in the first stage for the research project of combined capacity and operation optimisation for multi-vector local energy systems. The work is to investigate how energy storage can help improve CHP operation efficiency, reduce operation cost and CO2 emissions based on the campus energy system structure. In supporting future system and infrastructure design and planning, optimisation algorithms are developed which are able to derive the optimal solutions with consideration of the operation optimisation, optimal energy capacity, technical constrains and energy market information. The research is continuing to bring local renewable power generation, electrification of heating and EV to the optimisation process and extend from the campus energy system to the urban local energy system analysis.

Combined Heat and Power (CHP) systems are considered as a transitional solution towards zero carbon emissions in the next couple of decades [1]. The current CHP systems are mainly controlled by thermally led strategy, that is, the electrical power generation depends on the thermal energy demand. The mismatch between the power generation and load demand leads to the deficient energy utilisation and economic loss. In this context, electrical energy storage technologies could open up an opportunity to reduce energy bills by improving power utilisation locally and mitigate otherwise necessary network upgrades. Moreover, electricity storage could also enable the integrated system to gain additional economic benefits using the Time-of-Use (ToU) pricing structures.

Lithium-ion Battery (LIB) is a promising electrical storage technology because of its high energy density and Coulombic efficiency. Integration of a Lithium-ion Battery Storage System (LBSS) with CHP systems can provide operational flexibility and improve the self-sufficiency rate. However, the lifetime cash flow of a battery storage integrated CHP system is inherently complex. An installation of LBSS leads to an increase in system capital expenditure; real-time operation of the battery system under varying user-load patterns and ToU rates determines the system operating expenses (including revenues), and the LBSS system lifetime [2]. All these factors are coupled and interactively affect the economic viability of using LBSS in CHP systems.

An innovative combined planning method is proposed in the paper to improve the economic gains of the CHP systems by integrating the lithium-ion battery storage system. The paper focuses on the simultaneous optimisation of storage capacity design and operation strategy formulation of the LBSS subject to the variations of the load and power generation from CHP with consideration of LBSS degradation and cost, and ToU pricing structures. The new strategy is implemented and tested using the University of Warwick (UoW) campus CHP system combined with the LBSS facilities.

A techno-economic model that describes LBSS-integrated CHP system operation, performance, and economic gains was derived, using the historic and experimental data. Then an integrated optimisation framework with the Biogeography-Based Optimisation (BBO) method that co-optimises battery storage capacity (Capital Expenditure) and temporal operational strategy (Operating Expensed) was proposed, considering control-dependent battery degradation rate at the system planning stage (Figure 1).

Figure 1: Main logic process of the LBSS operation for combined planning. (a) Main logic process of flag 1. (b) Main logic process of flag 2. (c) Main logic process of flag 3.

A real campus-scale CHP system and a 50 kW demonstration LBSS at the UoW was used to verify the effectiveness of our proposed method, which also exhibits the contribution of the LBSS in improving the economic performance of CHP systems (Figure 2).

Figure 2: Combined optimisation results for seasons. (a) Optimal operation cost and capacity of the LBSS. (b) Operation strategy of the LBSS for Spring case. (c) Operation strategy of the LBSS for Autumn case. (d) Operation strategy of the LBSS for Winter case.

Besides, considering that the price of the LBSS would decrease gradually and the profitability from the ToU structure remains uncertainty in the following decades [3], this paper investigates the variation trend of profit gain and the corresponding Number of Battery (NOB) under different LBSS price and ToU rates to predict the future contribution of the LBSS technology in improving the economy of the CHP system (Figure 3).

Figure 3: Combined optimisation results for one year. (a) Optimal operation cost with the change of the LBSS price and ToU structure. (b) Optimal storage capacity with the change of the LBSS price and ToU structure.

Application results demonstrated that a combined management mechanism was established to achieve the optimal balance between the profit gain and capital loss of the LBSS integration. The conducted work for maximising potential profits and optimising number of batteries with the change of LBSS cost and ToU structure would provide competitive guidance for investors to develop a reasonable solution to improve the economy of CHP systems by integrating of LBSS in the next decades.

The full paper is available to view.

Reference:

[1] Department for Business, Energy & industrial strategy. Digest of UK energy statistics (DUKES) [Chapter 7]: Combined heat and power 2019.

[2] Davies DM, Verde MG, Mnyshenko O, Chen YR, Rajeev R, Meng YS, et al. Combined economic and technological evaluation of battery energy storage for grid applications. Nat Energy 2019;4:42–50.

[3] Oliver Schmidt, Sylvain Melchior, Adam Hawkes, Iain Staffell. Projecting the Future Levelized Cost of Electricity Storage Technologies. Joule 2019;3:81-100.