Robust Lifecycle Design and Health Monitoring for Fuel-Cell Extended Performance (RESILIENCE)
Lead Research Organisation:
Loughborough University
Department Name: Aeronautical and Automotive Engineering
Abstract
The UK has a commitment to reduce green house gas emissions by 80% by 2050. To achieve this the UK energy sector has to migrate towards supplying innovative, high quality, highly reliable, low or zero emission energy generation sources. Hydrogen and fuel cells have emerged as potential initiatives that could serve as alternative energy sources. They are currently being engineered for a range of applications including automotive, stationary power, aerospace and consumer electronics. Each application presents its own set of requirements for the fuel cell system including performance, operating range and cost. With the introduction of a new technology into markets, where existing products are highly reliable, requires that this aspect of the system performance must match customer expectations which are demanded for a new product. The area of focus of this research aims to improve the durability and reliability of this new energy source by better system integration and design optimisation, coupled with effective health management to maximise the life of the power source. The outcome is a real time dynamic and adaptive intelligent lifecycle infrastructure with leading edge research in system design for reliability, prognostics and diagnostics, and semantically modeling relationships been the product and the environment for fuel cells, achieved through a multidisciplinary approach, including the areas of mathematics, information science and engineering. The dividends both in design efficiencies and lifecycle management can be achieved placing hydrogen and fuel cell power sources at the forefront of future UK energy provision.
Planned Impact
The field of interest for reliable zero-emission power sources is considerable. As such there are a broad and diverse collection of beneficiaries including the companies involved in such power generation technologies (including: automotive, aerospace, stationary power and consumer electronics), academics conducting research in this field and importantly, the general public.
To develop the system design and asset management methodology proposed would provide scientific and knowledge advances in the areas of: fuel cell reliability assessment, fuel cell diagnostic and prognostic capability, maintenance modelling, optimisation techniques, and data management and integration for large amounts of data. Advances would also be established in producing a unique decision support framework which would enable decision support for prolonged system life. The successful implementation of a 'living' structure to update the outcomes as new information was received would require advances in the software techniques used to support data handling and manipulation.
Academic beneficiaries include those working in the disciplines of reliability assessment; data collection, analysis, and handling; and fuel cell technologies. The approach advocated in this proposal will represent the most imaginative and innovative step forward in integrated system level reliability assessment and health monitoring for effective asset management for fuel cell technologies.
The benefits resulting to society come from the application of the research in an industrial context. Intelligent Energy, through their reference models related to their current systems, will demonstrate the applicability of the methods. Longer term many other sectors would gain from the devolution of the research outputs. Three main societal benefits would result these being:
(1) The models and decision support tools would enable objective decision making to control the longevity of the power generation system such that they can be operated and maintained to maximise the system life. It is better to be proactive and predict and prevent service disruption failures than reactive by responding and correcting them. The tools would enable a good quality of service provision to be maintained.
(2) The effective use of the limited funds and resources available such that adequate service reliability performance is achieved. This will drive down the operating costs and therefore the costs to the customers.
(3) Enabling the management of a zero-emission power generation source to meet performance requirements that are demanded will allow mass utilisation of such sources, reducing emissions, and significantly enhancing the health of the biosphere in which society lives.
Given the relative infancy of these new zero emission power sources, understanding and managing them throughout the lifecycle is critical. If industries can operate to produce a reliable service, with acceptable performance, at minimum costs, this will impact on the costs of these services. The net result will be to make UK businesses more competitive and give a boost to the UK economy.
The skill and knowledge of all of those involved in the project would be developed with the beneficiaries being the three Research Associates. They would enhance their research capability, modelling and computational skills. A deeper understanding of the application areas would also develop along with the organisational and communication capabilities. Through dissemination activities, teaching of the methods developed in the research to undergraduates and postgraduates would enhance the skill set of future engineers in this area.
To develop the system design and asset management methodology proposed would provide scientific and knowledge advances in the areas of: fuel cell reliability assessment, fuel cell diagnostic and prognostic capability, maintenance modelling, optimisation techniques, and data management and integration for large amounts of data. Advances would also be established in producing a unique decision support framework which would enable decision support for prolonged system life. The successful implementation of a 'living' structure to update the outcomes as new information was received would require advances in the software techniques used to support data handling and manipulation.
Academic beneficiaries include those working in the disciplines of reliability assessment; data collection, analysis, and handling; and fuel cell technologies. The approach advocated in this proposal will represent the most imaginative and innovative step forward in integrated system level reliability assessment and health monitoring for effective asset management for fuel cell technologies.
The benefits resulting to society come from the application of the research in an industrial context. Intelligent Energy, through their reference models related to their current systems, will demonstrate the applicability of the methods. Longer term many other sectors would gain from the devolution of the research outputs. Three main societal benefits would result these being:
(1) The models and decision support tools would enable objective decision making to control the longevity of the power generation system such that they can be operated and maintained to maximise the system life. It is better to be proactive and predict and prevent service disruption failures than reactive by responding and correcting them. The tools would enable a good quality of service provision to be maintained.
(2) The effective use of the limited funds and resources available such that adequate service reliability performance is achieved. This will drive down the operating costs and therefore the costs to the customers.
(3) Enabling the management of a zero-emission power generation source to meet performance requirements that are demanded will allow mass utilisation of such sources, reducing emissions, and significantly enhancing the health of the biosphere in which society lives.
Given the relative infancy of these new zero emission power sources, understanding and managing them throughout the lifecycle is critical. If industries can operate to produce a reliable service, with acceptable performance, at minimum costs, this will impact on the costs of these services. The net result will be to make UK businesses more competitive and give a boost to the UK economy.
The skill and knowledge of all of those involved in the project would be developed with the beneficiaries being the three Research Associates. They would enhance their research capability, modelling and computational skills. A deeper understanding of the application areas would also develop along with the organisational and communication capabilities. Through dissemination activities, teaching of the methods developed in the research to undergraduates and postgraduates would enhance the skill set of future engineers in this area.
Publications

Davies B
(2017)
Expert diagnosis of polymer electrolyte fuel cells
in International Journal of Hydrogen Energy

Fecarotti C
(2016)
A Petri net approach for performance modelling of polymer electrolyte membrane fuel cell systems
in International Journal of Hydrogen Energy

Fecarotti C
(2014)
Open report - Petri net modelling approach for Fuel Cell systems

Fecarotti C
(2014)
Open report - Fuel cell system boundary conditions

Fecarotti, C
(2016)
Performance modelling of fuel cell systems through Petri nets

Mao L
(2016)
Selection of optimal sensors for predicting performance of polymer electrolyte membrane fuel cell
in Journal of Power Sources


Mao L
(2018)
Investigation of PEMFC fault diagnosis with consideration of sensor reliability
in International Journal of Hydrogen Energy
Description | The research has looked into three main areas - reliability modelling, diagnosis and prognosis. Initial research established a fuel cell reference model which was used for the development stages of the programme. The first phase of failure modelling has adopted a petri net framework to deal with the strong dynamical aspects and dependencies within the fuel cell design. A Bond graph model has been developed to model the behaviour of the fuel cell and this has been integrated into the failure modelling, giving added accuracy to performance prediction. The health monitoring research has been considering the importance of sensors with regards to diagnostics and prognostics, with model and data driven approaches being applied. Alongside various model and data based approaches that have been development the research has focussed also on using knowledge based methods, typically fuzzy logic expert systems and ontologies. The research findings show that mechanisms for health monitoring via this research are now improved, yet further knowledge of fuel cell degradation mechanisms are still needed. |
Exploitation Route | Publication at conferences and in high impact journals has now materialised from the research, with still more papers planned in the near future. Also various dissemination events have been attended. Continued discussions with the collaborator will aid tailoring the research. Some adjustments in the work package time frames have been made due to using new techniques gleaned from the research but currently all deliverables are on target. Integration across the packages has become more evident in the latter stages of the research and the use to industry will become more clearly evident to industry themselves. |
Sectors | Energy |
Description | During the research programme a number of engagement activities have been undertaken to facilitate the pathways to impact of this research. This has influenced the impact of the research and the use of these findings. The engagement activities can be summarized under three categories - scientific, industrial and public. The scientific engagement has included: i) high quality journal paper publications; ii) international conference presentations with peer reviewed papers; iii) numerous international/national conference presentations and iv) poster presentation and v) invited seminar. The industrial engagement has primarily been with the collaborator, Intelligent Energy, though one researcher has spent some time at the facilities of another Fuel Cell company. The Community / Public engagement has involved talks to prospective university students and demonstrations of the lab equipment. The potential from the research is new mechanisms for reliability assessment, diagnostics and prognostics for fuel cells, with the full impact expected in time. |
First Year Of Impact | 2014 |
Sector | Energy |
Title | Comparison of Polarization curves from the model and test data at different temperatures |
Description | Figure 2 of Selection of optimal sensors for predicting performance of polymer electrolyte membrane fuel cell, which is published in Journal of Power Sources |
Type Of Material | Database/Collection of data |
Year Produced | 2016 |
Provided To Others? | Yes |
URL | https://repository.lboro.ac.uk/articles/dataset/Comparison_of_Polarization_curves_from_the_model_and... |
Title | Data for 'fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data-driven approaches' |
Description | These data files are used in the work which has been published with title of fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data-driven approaches in Fuel Cells. DOI: https://doi.org/10.1002/fuce.201600139. |
Type Of Material | Database/Collection of data |
Year Produced | 2016 |
Provided To Others? | Yes |
URL | https://repository.lboro.ac.uk/articles/dataset/Data_for_fault_diagnosis_of_practical_polymer_electr... |
Title | Data used in 'Investigation of polymer electrolyte membrane fuel cell internal behavior during long term operation and its use in prognostics' |
Description | This data-set has been used in the above paper (Investigation of polymer electrolyte membrane fuel cell internal behavior during long term operation and its use in prognostics) to investigate the variation of fuel cell parameters with the equations in the paper.
The deposit consists of a zip folder which can be extracted using 7-zip. The data files are in .csv format. |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
URL | https://repository.lboro.ac.uk/articles/dataset/Data_used_in_Investigation_of_polymer_electrolyte_me... |
Title | IEEE 2014 Data Challenge Data |
Description | Dataset from IEEE 2014 data challenge, detailed information about the Data Challenge is included. |
Type Of Material | Database/Collection of data |
Year Produced | 2016 |
Provided To Others? | Yes |
URL | https://repository.lboro.ac.uk/articles/dataset/IEEE_2014_Data_Challenge_Data/3518141 |
Title | Prediction results with selected sensors at different loading conditions |
Description | Figure 8 of Selection of optimal sensors for predicting performance of polymer electrolyte membrane fuel cell, which is published in Journal of Power Sources
|
Type Of Material | Database/Collection of data |
Year Produced | 2016 |
Provided To Others? | Yes |
URL | https://repository.lboro.ac.uk/articles/dataset/Prediction_results_with_selected_sensors_at_differen... |
Title | Selection of optimal sensors for predicting performance of polymer electrolyte membrane fuel cell .pdf |
Description | Paper published in Journal of Power Sources |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://repository.lboro.ac.uk/articles/dataset/Selection_of_optimal_sensors_for_predicting_performa... |
Description | Collaboration with Liverpool University Fuel Cell group |
Organisation | University of Liverpool |
Department | Department of Earth, Ocean and Ecological Sciences |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We have initially attended a seminar at Liverpool, on Battery and Fuel Cell Diagnostics - An Interdisciplinary Perspective (13 July 2016), following an invitation. We have had several research discussions and am supporting a first grant application to EPSRC with future collaboration on this grant planned. |
Collaborator Contribution | Exchange of expertise and co-creation of ideas. |
Impact | None as yet. First grant submission with our supporting letter for collaboration. |
Start Year | 2016 |
Description | 2017 H2FC Research Conference & SuperGen Forum 11-13 Dec, University of St Andrews |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation titled: Robust Lifecycle Design and Health Monitoring for Fuel-Cell Extended Performance (RESILIENCE) Summary of the latest developments on the EPSRC project |
Year(s) Of Engagement Activity | 2017 |
Description | 2017 H2FC Research Conference 11-13 Dec, University of St Andrews |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation of research on Bond Graphs at the researcher conference, where attendees were those on other research projects (postgrads), academics and industrialists. Discussions in the breaks followed.Presentation titled: Hybrid Modelling for Dynamic Reliability Assessment of PEM Fuel Cell Systems. |
Year(s) Of Engagement Activity | 2017 |
Description | Fuel cell and hydrogen technical conference (2016, Birmingham) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Presentation to the technical conference, where there were industrialists and academia, on the work of the RESILIENCE project. The presentation was titled: An enhanced health monitoring framework for fuel cell extended performance. The date was 25-26 May, in Birmingham. |
Year(s) Of Engagement Activity | 2016 |
Description | H2FC SUPERGEN Research Conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | This is the SUPERGEN Hub Research conference that was held in Belfast, UK, on the 12-14th Dec 2016. The presentation was titled: Reliability Modelling of PEM Fuel Cells with Petri Nets and Bond Graphs (presented by Andrey Vasilyev). |
Year(s) Of Engagement Activity | 2016 |
Description | H2FC SUPERGEN Research FORUM |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | This was the annual forum to discuss research the research project, RESILIENCE, presentation given of progress. |
Year(s) Of Engagement Activity | 2015 |
Description | H2FC Supergen All Energy Conference, Aberdeen |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Information on the up and coming research was presented, which prompted questions from the audience. The notable impact was dissemination to the fuel cell community. |
Year(s) Of Engagement Activity | 2013 |
Description | H2FC Supergen Research Advisory Board |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other academic audiences (collaborators, peers etc.) |
Results and Impact | Following the presentation, questions were asked by the other researchers at the Board. No notable impacts directly following. |
Year(s) Of Engagement Activity | 2014 |
Description | Invited presentation at SUPERGEN Researcher conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Invited presentation - Selection of optimal sensors for fuel cell prognostics, at the Hydrogen and Fuel Cell SUPERGEN Researcher conference |
Year(s) Of Engagement Activity | 2015 |
Description | Invited seminar presentation - Liverpool University (2016) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Invitation to present at a Battery and Fuel Cell Diagnostics - An interdisciplinary perspective, by Roberto Ferrero, at Liverpool University (13 July 2016). Title of presentation: Fault diagnosis of PEM fuel cells with data driven approaches. |
Year(s) Of Engagement Activity | 2016 |
Description | Invited talk at the SUPERGEN researcher conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | This was the annual Hydrogen and Fuel cell SUPERGEN Researcher conference. Audience of over 100. Presentation given to audience with question session at the end of the presentation |
Year(s) Of Engagement Activity | 2014 |
Description | Laboratory Demonstrations of Fuel Cell for prosepective students (2016-2017) |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | The fuel cell rig, within the fuel cell lab, has been demonstrated with a presentation to prospective students on their student visit day to the AAE department. This has sparked questions and engaged school children into the future of low carbon technologies. Multiple student visit days from Nov 2016 - March 2017. |
Year(s) Of Engagement Activity | 2016,2017 |
Description | Presentation at the 30th Conference on Condition Monitoring and Diagnostic Engineering Management |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Mao, L., Jackson, L.J., Davies, B. (2017). Fault diagnosis of a polymer electrolyte membrane fuel cell using Bayesian network. 30th Conference on Condition Monitoring and Diagnostic Engineering Management. 10-13 July, Preston, UK. Presentation on the research work related to bayesian networks. |
Year(s) Of Engagement Activity | 2017 |
Description | Presentation at the CARISMA conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | An abstract has been accepted for a presentation titled "Hybrid modelling for dynamic reliability assessment of PEM fuel cell systems" at the CARISMA conference to be held on the 9-12th April 2017 in Newcastle. |
Year(s) Of Engagement Activity | 2017 |
Description | Resilience Engineering Research Group presentation (2016) |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Professional Practitioners |
Results and Impact | One of the researchers is based in the Resilience Engineering Research Group at Nottingham University. The group has a number of academics and researchers spanning a broad research domain. A presentation was made on the 9th November to this group explaining the work - title of the presentation was Reliability modelling of PEM fuel cells. |
Year(s) Of Engagement Activity | 2016 |
Description | Second European Conference of the Prognostics and Health Management Society - poster |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Type Of Presentation | poster presentation |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Poster prompted discussion with industialists and researchers. Exchange of contact details with others for potential future collaboration. |
Year(s) Of Engagement Activity | 2014 |
Description | Summer school: Diagnostics and Prognostics of Fuel cell systems |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other academic audiences (collaborators, peers etc.) |
Results and Impact | Knowledge gained on wider fuel cell activities and continued discussions with international researchers, Further discussions ongoing. |
Year(s) Of Engagement Activity | 2014 |
Description | Supergen Hydrogen and Fuel Cell conference, 2013 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Type Of Presentation | poster presentation |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The poster on the project prompted discussion with other industialists and researchers afterwards. No notable impacts immediately following. |
Year(s) Of Engagement Activity | 2013 |