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 September 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 and Blockchain distributed ledger technology.

Dr Chao Long 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). 

Dr Chao Long 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 1550 (by Aug/2020), with H-index of 19.

Dr Chao Long 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 opportunity

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

1) Vehicle-to-grid applications

2) Blockchain smart contract based platform for peer to peer energy trading in a residential community

3) Digitalisation and optimisation of energy use in commercial buildings for smart energy procurement

4) Building to Building (B2B) energy trading using mobility of electric vehicles

5) Peer to peer energy trading of electric vehicles at public parking

Self-funded PhD students are very welcome. Tuition fees for a PhD student is ~ £18,000 /year for 3 years.

Current activities

Research Grants: 

Jan 2021 - Mar 2021, Innovate UK project ''Smart home EV charger based on Entrust Smart Home Management", 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.


PhD Students (1st Supervisor):

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

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

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


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


Articles In Journals