Exit Menu

Predictive maintenance for wave energy devices

Completed

Project description

RISKMAN: An online, risk driven condition monitoring, predictive maintenance management and design upscaling tool for wave energy devices

Background

RISKMAN is a maintenance management tool which will be developed as an enabling technology for reducing wave energy convertor (WEC) devices levelised cost of electricity (LCOE) to compete with other energy systems. RISKMAN aims to provide a step reduction in Albertern WaveNet WECs capital and operational expenditure (CAPEX/OPEX) and increase in availability times through:

  • Condition Monitoring of critical components of the WEC arrays by a suite of embedded complementary sensors;
  • Transmitting sensor output (electrical) signals to onshore in real time through electro-optical conversion and fibre optic cables for cloud computing;
  • Assembly of the historic data into a reliability database, essentially a library of structural health signatures and norms; and
  • construction of a risk driven predictive maintenance system (PMS) which combines the database with mathematical models to determine for each component a probability distribution function to give the RISK of failure over any time period.

 

Objectives

Condition monitoring of critical components of wave energy devices. Development of risk driven predictive maintenance system combining mathematical models and big data analysis.

Benefits

Reduction in CAPEX/OPEX through condition monitoring of WECs providing improved security of supply and reduction in levelised cost of electricity to compete with other renewable energy systems.

Project Partners


Meet the Principal Investigator(s) for the project

Professor Tat-Hean Gan - Professional Qualifications - CEng. IntPE (UK), Eur Ing, BEng (Hons) Electrical and Electronics Engg (Uni of Nottingham), MSc in Advanced Mechanical Engineering (University of Warwick), MBA in International Business (University of Birmingham), PhD in Engineering (University of Warwick), Languages - English, Malaysian, Mandarin, Cantonese, Professional Bodies - Fellow of the British Institute of NDT, Fellow of the Institute of Engineering and Technology, Tat-Hean Gan has 10 years of experience in Non-Destructive Testing (NDT), Structural Health Monitoring (SHM) and Condition Monitoring of rotating machineries in various industries namely nuclear, renewable energy (eg Wind, Wave ad Tidal), Oil and Gas, Petrochemical, Construction and Infrastructure, Aerospace and Automotive. He is the Director of BIC, leading activities varying from Research and development to commercialisation in the areas of novel technique development, sensor applications, signal and image processing, numerical modelling and electronics hardware. His experience is also in Collaborative funding (EC FP7 and UK TSB), project management and technology commercialisation.