Using MATLAB & Simulink to Develop Renewable Energy Technologies. Craig Wale Marcus Hill

Transcription

1 Using MATLAB & Simulink to Develop Renewable Energy Technologies Craig Wale Marcus Hill

2 DISCLAIMER The information contained herein has been prepared solely for informational purposes and is not an offer to buy or sell or a solicitation of any offer to buy or sell any security or to participate in any trading strategy or to enter into any transaction. If any offer of securities is made, it shall be made pursuant to a definitive offering memorandum prepared by or on behalf of any fund or other issuer which would contain material information not contained herein and which would supersede this information in its entirety. Commercial in Confidence and Copyright Carnegie Clean Energy Limited 2

3 Carnegie Clean Energy ASX listed Developer of utility scale renewable energy projects Global leader in the delivery of solar, battery, wave and hybrid energy solutions Team of over 100 across engineering, analysis, corporate, commercial, offshore, operations, maintenance, electrical, mechanical Business model across the full value chain of design, development, finance, construction, operation and maintenance 3

4 Ocean Energy There are two basic sources of energy in our oceans. Tidal Energy Wave Energy 4

5 Wave Energy Particles in the ocean move elliptically. Motion decreases as you get closer to the sea floor. Capturing this motion the kinetic energy and transforming it into electrical energy is the purpose of a Wave Energy Converter (WEC). CETO works here Source: Wikipedia 5

6 Global Wave Resource (Gunn, K & Stock-Williams, C 2012, Quantifying the global wave power resource, Renewable Energy, vol. 44, pp ) 6

7 Wave Energy Converters 200+ wave energy converter (WEC) developers world-wide. ( Seven main methods of capturing energy: 1. Attenuator 2. Overtopping 3. Rotating Mass 4. Oscillating Wave Surge Converter (OSWC) metamorphosisproject.org openei.org 6. Oscillating Water Column (OWC) 2. Submerged Pressure Differential 7. Point Absorber 7

8 CETO Development Pathway 1999 Scale models & wave tank testing at Fremantle 2003 Proof of Concept prototype at Fremantle x 1kW CETO2 prototypes at Fremantle kW CETO3 prototype at Fremantle 2011 Perth Wave Energy Project: 3x 240kW CETO5 Units at Garden Island, Power and water production 2016 Albany Wave Energy Project: 1.5MW CETO6 Unit demonstration project 2020 Commercial Rollout CCE invested $118m on the CETO technology over 6 generations. CETO advantages: - Consistent and predictable power output - Scalable and suitable for large arrays - Submerged: reduced exposure to corrosion and breaking waves - Environmentally friendly, attracts marine life & minimal visual impact Only device operated in an array of 3 Units, grid connected over 4 seasons. 8

9 CETO 6 9

10 MathWorks Tools Physical modelling using Simulink with Simscape toolboxes Simscape Fluids Simscape Power Systems Simscape Multibody MATLAB for post-processing data 3rd party modelling tools such as WEC-Sim Moving towards Real-time with Hardware-in-the-Loop (HiL) 10

11 Simulink with Simscape Power Take-Off (PTO) converts mechanical energy into electrical energy ready for export to the power grid PTO controls the motions and forces Requires a multi-domain physical Simscape model Parallel simulations Virtual prototyping saves time and cost, allowing concepts to be tested and quickly iterated. Simulation Manager makes it easy to interrogate parallel simulation workers 11

12 Levels of Complexity Open-loop simulations are quick, inputs can be: Sinusoidal Recorded signals from previous projects From CFD simulations Recorded signals from wave tank testing etc. PTO can also be placed inside a Linear Time Domain (LTD) hydrodynamic MATLAB and Simulink package known as WEC-Sim Variant sub-systems allow complexity to be changed as required, shortening computation time 12

13 Closing the loop with Simscape Multibody and WEC-Sim WEC-Sim is an open-source project developed by the National Renewable Energy Laboratory and Sandia National Laboratories. Uses Simulink to combine physical and multibody simulations. Quick estimation of unit behaviour with visualisations. 13

14 Closing the loop with Simscape Multibody and WEC-Sim 14

15 Data processing with MATLAB Tank testing campaign recently at the COAST Wave Tank at Plymouth University tests conducted over 3 weeks. Time series post-processed in MATLAB at the end of each day by Perth team. Findings relayed back to UK team to ensure testing was as efficient as possible. 15

16 Hardware-in-the-Loop Simulation with Simulink Real-Time Rapid control prototyping Integration of physical hardware into Simulink modelling. Successfully implementing HiL into our design process will help us: o Reduce cost o Identify issues earlier o Test controllers in extreme scenarios 16

17 HiL: Trial One Aim: Develop dynamic system model Communicate with physical hardware Simulate in real-time Reasoning: Validate PLC code early Reduce commissioning costs Results: Implemented dynamic model Communicated with PLC hardware Real-time capability not achieved due to power electronics 17

18 HiL: Trial Two Aim: Run PTO plant model on a real-time Speedgoat machine. Run PTO controller model on a Bachmann MX220 Communication using Modbus TCP/IP. Run simulation in Real-Time Reasoning: Test feasibility of getting PTO model running in real-time. Trial real-time Speedgoat machine Trial Bachmann PLC Measures of Success: Real-time simulation Accurate results 18

19 HiL: Trial Two The PTO model was separated into distinct Plant and Controller sub-models. Modbus TCP/IP communication between Plant and Controller Code generation for both the Speedgoat and the Bachmann MX220 was simple and intuitive. 19

20 HiL: Trial Two 20

21 HiL: Trial Two Ideal torque matched simulated torque. TET: Min at t = 6.9, Max at t= Average TET is Model base sample rate 0.01 seconds Simulation did NOT occur in real-time 21

22 HiL: Next Steps Trial was a success. However, Real-time simulation not achieved. Speedgoat and the Bachmann MX220 worked very well together. Carnegie is working with MathWorks to integrate HIL into our development cycle. 22

23 Albany Wave Energy Project Currently in design phases Install in the 2019/2020 summer 23

24 Albany Wave Energy Project Design, fabrication and operation of one 1.5MW CETO 6 Unit Operation for 1 year at Albany Transfer of common user infrastructure to WA state AWEP Enable pre-commercial CETO array Stimulate growth in MRE sector Improve economy and provide employment Albany/State 24

25 AWEP Support Support from the WA State Government through Department of Primary Industries and Regional Development: $15.75m. Support from Australian Government through ARENA (Australian Renewable Energy Agency): $11.7m of a $13m grant. 25

26 Wave Energy Research Centre - WERC CCE is driving national and international R&D projects: Collaborations with 11 research institutions and 23 companies Portfolio of R&D project >$11m CCE s R&D focuses on reducing long term LCOE of CETO, while increasing energy conversion efficiency UWA was granted $3.75m from WA state to establish WERC in Albany and support CCE in the development of AWEP. WERC will draw together UWA s world class research capabilities and CCE's world leading CETO technology and existing Australian and international research relationships. 26

27 Thank You Craig Wale Mechanical Engineer Marcus Hill Electrical Engineer