Contact Dr Chao Long

Areas of expertise

  • Electric and Hybrid Vehicles
  • Electric Power Machines
  • Renewable Energy


Dr Chao Long is a Lecturer in Digital Energy Systems at Cranfield University (since 2019). He is with Centre for Energy Systems and Strategy in School of Water, Energy and Environment (SWEE). His research focuses on modelling, analysis and optimisation of smart power distribution grids and community energy systems. These include management of local energy from solar photovoltaic (PV) systems, batteries and electric vehicles using novel concepts of peer to peer (P2P) energy trading using AI/machine learning and Blockchain distributed ledger technology.

Chao is working closely with industry and academic collaborators at national and international levels. Chao worked on a Horizon 2020 “Peer to Peer SmartTest” project, and EPSRC ENCORE project “Feasibility of applying Blockchain and smart contracts technology to distribution grid management in the GB power system”. He was a post-doc Research Associate at The University of Manchester (2013-2015) and Cardiff University (2015-2019). Chao did his BEng and MEng from Wuhan University, China (2004-2010), and received PhD Degree from Glasgow Caledonian University, UK (2010-2014). 

Chao has published 50 peer-reviewed journal and conference papers, including one journal published in Nature Energy (impact factor 54.000). Chao’s research work has been well received by academia and industry. He has got Google Scholar Citations 2042 (by Jan 2021), with H-index of 20.

Chao is the Course Director of MSc Advanced Digital Energy Systems. Chao is the module leader of 'Data Analytics and Blockchain', 'Artificial Intelligence in Energy Systems' and 'Application of Blockchain Technology'. 

Research opportunities

Dr Chao Long is interested in supervising PhD, MSc students with a research interest in:

1) Machine Learning for smart electric vehicles charging

2) Vehicle-to-grid applications

3) Peer to peer energy trading between electric vehicles (V2V energy trading)

4) Machine learning for community energy management

5) Second life battery of electric vehicles

6) Blockchain smart contract based platform for community energy trading

Current activities

Research Grants: 

Jan 2022 - Nov 2022, NN2NZ, Supporting North Northamptonshire to achieve Net Zero Carbon ahead of 2050 targets, Electric Corby CIC, PI, £59,000   

June 2021 - May 2023, EPSRC "Mobility as a service: MAnaging Cybersecurity Risks across Consumers, Organisations and Sectors (MACRO)", EP/V039164/1, Co-I, £550,218

March 2021 - March 2023, Royal Society Sino-British Fellowship Trust International Exchanges Award "Smart Contract for Distributed Energy Management in Hybrid DC and AC Distribution Networks", with China Agricultural University, IES\R3\203114, PI, £12,000

Jan 2021 - Mar 2021, Innovate UK project ''Smart home EV charger based on Entrust Smart Home Management", with Entrust Smart Home Ltd, Academic PI, £48,000

Oct 2020 - Jun 2021, Innovate UK project "Second life batteries for commercial energy use (SLB4ComEU)", with Brill Power Ltd and AceOn Group Ltd, Academic PI, £100,000

Oct 2020 - Mar 2021, Innovate UK project "Advanced grid services provided by optimised EV community and fleet charging", with SNRG Ltd and Electric Corby CIC, Academic PI, £60,000.

Oct 2020 - Mar 2021, University Grand Challenge (UGC): Smart Living project "Peer-to-peer smart charging for electric autonomous vehicles", Engaging regional policies in MK and Oxbridge Arc on smart charging and green mobility, £7,000

Apr 2020 - Mar 2022, Royal Academy of Engineering, Transforming Systems through Partnership, "South Africa energy infrastructure planning for rural urbanisation based on optimal peer-to-peer energy sharing", Co-I (Cranfield PI), £27,200.

Jan 2020- June 2020, Department for Transport (DfT), Technology Research Innovation Grants (T-TRIG), "App for Peer to Peer energy trading with electric vehicles (APP EV)", PI, £30,000.

2019-2020, UKRI Higher Education Innovation Fund (HEIF), "Application of peer to peer energy trading in a residential community", PI, £16,075.


Chao's team:

Dr Siqi Wang, Post-doctoral Research Fellow in AI for Energy Systems  

Mr Rilwan Usman, PhD student (Feb 2020- ), Research topic: Electricity demand side management in developing countries  

Mr Yiming Xu, PhD student (Sep 2020- ), Research topic: P2P energy trading platform for EVs

Mr Han Cui, PhD student (Sep 2020- ), Research topic: 2nd life batteries of EVs

Mr Jorge Assis, PhD student (Feb 2021- ), Research topic: ML to forecast crude oil market 


Innovate UK
Royal Academy of Engineering - Newton Fund
Department for Transport (DfT)


Articles In Journals