Special Issue "Modelling and Process Control of Fuel Cell Systems"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Systems".

Deadline for manuscript submissions: 15 September 2019.

Special Issue Editors

Guest Editor
Prof. Dr. Mohd Azlan Hussain

Department of Chemical Engineering, Faculty Engineering, University of Malaya, 50603 Kuala Lumpur, MALAYSIA
Website | E-Mail
Interests: Advanced and Non Linear Control of Process Systems; Modelling and Process Control of UF Filtration Systems to Produce Clean Water; Modelling and Process Control of Fuel Cell Systems; Advanced Mathematical Modelling of Gas Olefin Polymerization in Fluidized-Bed Catalytic Reactor; Advanced Control for Semi-Active Car Suspension System; Optimisation of Chemical Process Systems; Development of Software for Online Process Control; Artificial Intelligence for Modelling and Control of Process Systems; Process Control Special Issues and Collections in MDPI journals
Guest Editor
Prof. Dr. Wan Ramli Wan Daud

Department of Chemical & Process Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia,436000 UKM Bangi, Malaysia
Website | E-Mail
Interests: Engineering & Materials Science; Chemical Compounds; Physics & Astronomy; Chemistry and Materials; Engineering; General; Physics

Special Issue Information

Dear Colleagues,

Ever increasing energy consumption, rising public awareness for environmental protection, and higher prices of fossil fuels have motivated many to look for alternative/renewable energy sources. World fossil fluid fuel demand will soon exceed world fossil fluid fuel production, which will be expected to lead to an energy shortage crisis unless a sustainable alternative fuel is available soon. Among the many alternative fuel sources, fuel cells have received the greatest amount of attention, while they can also act as cogeneration systems.

The complicated reaction, heat, and mass transfer mechanisms in the fuel cells introduce extreme nonlinearities in the dynamcis of the fuel cell. The fundamental modeling and control problem in the fuel cells is further complicated by the existence of the strong interaction between the input and output parameters (conventional process modeling and control strategies are incapable of coping with these difficulties). Conventional models do not consider all these the phenomena in their model. Therefore, a comprehensive model is needed to provide a more realistic understanding of the phenomena encountered in fuel cells and improve the quantitative understanding of the actual process.

Since fuel cells are severely nonlinear and typically have several operational constraints, a single linear controller may not provide satisfactory performance over a wide range of operating conditions. Therefore, an efficient advanced process control scheme needs to be implemented due to process dynamic nonlinearities and difficulties involved in the robust control of fuel cells. As such, the modeling and control of fuel cells is a huge challenge for all researchers.

Since the simulation results of modeling are only a prediction and estimation of the real system, an important step in the development of modeling and control is online validation. Unfortunately, there is a lack of experimental validation of the dynamic models of fuel cells in the open literature at present.

Hence, this Special Issue on “Modeling and Control of Fuel Cells” aims to compile together novel advances in the development and application of computational modeling to address these longstanding challenges of these fuel-cell systems. Topics include, but are not limited to, the following:

  • The development of improved modeling methods for fuel cells;
  • The development of advanced systems identification and observers in fuel-cell systems;
  • The development of advanced control strategies for fuel cells;
  • Optimization of the fuel-cell system, especially in cogeneration systems; and
  • Online validation of modeling and control techniques developed for fuel-cell system.

Prof. Dr. Mohd Azlan Hussain
Prof. Dr. Wan Ramli Wan Daud
Guest editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Please note that for papers submitted after 31 December 2019 an APC of 1400 CHF applies. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • model
  • control
  • estimator
  • optimized
  • observers
  • validation
  • fuel cells
  • cogeneration system

Published Papers (2 papers)

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Research

Open AccessArticle
Modeling, Management, and Control of an Autonomous Wind/Fuel Cell Micro-Grid System
Processes 2019, 7(2), 85; https://doi.org/10.3390/pr7020085
Received: 3 January 2019 / Revised: 25 January 2019 / Accepted: 4 February 2019 / Published: 8 February 2019
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Abstract
This paper proposes a microelectric power grid that includes wind and fuel cell power generation units, as well as a water electrolyzer for producing hydrogen gas. The grid is loaded by an induction motor (IM) as a dynamic load and constant impedance load. [...] Read more.
This paper proposes a microelectric power grid that includes wind and fuel cell power generation units, as well as a water electrolyzer for producing hydrogen gas. The grid is loaded by an induction motor (IM) as a dynamic load and constant impedance load. An optimal control algorithm using the Mine Blast Algorithm (MBA) is designed to improve the performance of the proposed renewable energy system. Normally, wind power is adapted to feed the loads at normal circumstances. Nevertheless, the fuel cell compensates extra load power demand. An optimal controller is applied to regulate the load voltage and frequency of the main power inverter. Also, optimal vector control is applied to the IM speed control. The response of the microgrid with the proposed optimal control is obtained under step variation in wind speed, load impedance, IM rotor speed, and motor mechanical load torque. The simulation results indicate that the proposed renewable generation system supplies the system loads perfectly and keeps up the desired load demand. Furthermore, the IM speed performance is acceptable under turbulent wind speed. Full article
(This article belongs to the Special Issue Modelling and Process Control of Fuel Cell Systems)
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Open AccessArticle
Environmental Sustainability Assessment of Typical Cathode Materials of Lithium-Ion Battery Based on Three LCA Approaches
Processes 2019, 7(2), 83; https://doi.org/10.3390/pr7020083
Received: 2 January 2019 / Revised: 22 January 2019 / Accepted: 24 January 2019 / Published: 7 February 2019
PDF Full-text (2906 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
With the rapid increase in production of lithium-ion batteries (LIBs) and environmental issues arising around the world, cathode materials, as the key component of all LIBs, especially need to be environmentally sustainable. However, a variety of life cycle assessment (LCA) methods increase the [...] Read more.
With the rapid increase in production of lithium-ion batteries (LIBs) and environmental issues arising around the world, cathode materials, as the key component of all LIBs, especially need to be environmentally sustainable. However, a variety of life cycle assessment (LCA) methods increase the difficulty of environmental sustainability assessment. Three authoritative LCAs, IMPACT 2002+, Eco-indicator 99(EI-99), and ReCiPe, are used to assess three traditional marketization cathode materials, compared with a new cathode model, FeF3(H2O)3/C. They all show that four cathode models are ranked by a descending sequence of environmental sustainable potential: FeF3(H2O)3/C, LiFe0.98Mn0.02PO4/C, LiFePO4/C, and LiCoO2/C in total values. Human health is a common issue regarding these four cathode materials. Lithium is the main contributor to the environmental impact of the latter three cathode materials. At the midpoint level in different LCAs, the toxicity and land issues for LiCoO2/C, the non-renewable resource consumption for LiFePO4/C, the metal resource consumption for LiFe0.98Mn0.02PO4/C, and the mineral refinement for FeF3(H2O)3/C show relatively low environmental sustainability. Three LCAs have little influence on total endpoint and element contribution values. However, at the midpoint level, the indicator with the lowest environmental sustainability for the same cathode materials is different in different methodologies. Full article
(This article belongs to the Special Issue Modelling and Process Control of Fuel Cell Systems)
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