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Integration of Hydrogen Technologies in Renewable-Energy-Based Microgrids

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A5: Hydrogen Energy".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 6173

Special Issue Editors


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Guest Editor
FEMTO-ST, CNRS, University Bourgogne France Comte, UTBM, 90000 Belfort, France
Interests: microgrids; power systems; energy management; hydrogen; renewable energy

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Guest Editor
Electrical and Electronic Engineering School, University College Dublin, Dublin 4, Ireland
Interests: electricity markets; decision making under uncertainty; robust optimization; smart grid; renewable energy

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Guest Editor
Centre for Propulsion Engineering, School of Aerospace Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
Interests: propulsion engineering; turbomachinery; control systems; thermal management systems; optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Microgrids are increasingly popular for applications such as electrification of remote areas, renewable energy penetration, and energy supply resilience. When equipped with energy storage, they can accommodate large amounts of renewable energy. However, while battery storage is widely used, it is not suitable for storing large amounts of energy over long periods, sometimes spanning entire seasons. Green hydrogen is a solution to this challenge, and can also provide a variety of services while also enabling interactions with other infrastructure (e.g., transportation, natural gas) and forms of energy (e.g., heat, biomass). Multiple challenges should be addressed when considering the integration of hydrogen energy in microgrids. This Special Issue will bring together contributions and updates on current progress in this topic. Original research articles and comprehensive reviews along with well-documented case studies will be considered for publication.

Topics of interest for this Special Issue include the following:

  • Sizing and energy management for both electric and thermal energy
  • Uncertainty and risk quantification
  • Interdependent multi-energy systems
  • Ancillary services and power quality
  • Reliability, diagnostics, and prognostics
  • Modeling and simulation
  • Interactions with transportation
  • Economics, sustainability, and life cycle analysis
  • Policymaking and quantification of the impacts of hydrogen on microgrids

Prof. Dr. Robin Roche
Dr. Alireza Soroudi
Dr. Soheil Jafari
Guest Editors

Manuscript Submission Information

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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. Energies is an international peer-reviewed open access semimonthly 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 2600 CHF (Swiss Francs). 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

  • hydrogen energy
  • microgrid
  • renewable energy
  • energy storage
  • fuel cell
  • electrolyzer

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Published Papers (2 papers)

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Research

16 pages, 3168 KiB  
Article
Analysis of Control-System Strategy and Design of a Small Modular Reactor with Different Working Fluids for Electricity and Hydrogen Production as Part of a Decentralised Mini Grid
by Arnold Gad-Briggs, Emmanuel Osigwe, Soheil Jafari and Theoklis Nikolaidis
Energies 2022, 15(6), 2224; https://doi.org/10.3390/en15062224 - 18 Mar 2022
Cited by 2 | Viewed by 2140
Abstract
Hydrogen is increasingly being viewed as a significant fuel for future industrial processes as it offers pathways to zero emission. The UK sees hydrogen as one of a handful of low-carbon solutions for transition to net zero. Currently, most hydrogen production is from [...] Read more.
Hydrogen is increasingly being viewed as a significant fuel for future industrial processes as it offers pathways to zero emission. The UK sees hydrogen as one of a handful of low-carbon solutions for transition to net zero. Currently, most hydrogen production is from steam reforming of natural gas or coal gasification, both of which involve the release of carbon dioxide. Hydrogen production from mini decentralised grids via a thermochemical process, coupled with electricity production, could offer favourable economics for small modular reactors (SMRs), whereby demand or grid management as a solution would include redirecting the power for hydrogen production when electricity demand is low. It also offers a clean-energy alternative to the aforementioned means. SMRs could offer favourable economics due to their flexible power system as part of the dual-output function. This study objective is to investigate the critical performance parameters associated with the nuclear power plant (NPP), the cycle working fluids, and control-system design for switching between electricity and hydrogen demand to support delivery as part of a mini grid system for a reactor power delivering up to approximately 600 MWth power. The novelty of the work is in the holistic parametric analysis undertaken using a novel in-house tool, which analyses the NPP using different working fluids, with a control function bolt-on at the offtake for hydrogen production. The results indicate that the flow conditions at the offtake can be maintained. The choice of working fluids affects the pressure component. However, the recuperator and heat-exchanger effectiveness are considered as efficiency-limiting factors for hydrogen production and electricity generation. As such, the benefit of high-technology heat exchangers cannot be underestimated. This is also true when deciding on the thermochemical process to bolt onto the plant. The temperature of the gas at the end of the pipeline should also be considered to ensure that the minimum temperature-requirement status for hydrogen production is met. Full article
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22 pages, 3318 KiB  
Article
Model Supported Business Case Scenario Analysis for Decentral Hydrogen Conversion, Storage and Consumption within Energy Hubs
by Richard P. van Leeuwen, Annelies E. Boerman, Edmund W. Schaefer, Gerwin Hoogsteen and Yashar S. Hajimolana
Energies 2022, 15(6), 2065; https://doi.org/10.3390/en15062065 - 11 Mar 2022
Cited by 2 | Viewed by 2668
Abstract
Recently, smart energy hubs with hydrogen conversion and storage have received increased attention in the Netherlands. The hydrogen is to be used for vehicle filling stations, industrial processes and heating. The scientific problem addressed in this paper is the proper sizing of capacities [...] Read more.
Recently, smart energy hubs with hydrogen conversion and storage have received increased attention in the Netherlands. The hydrogen is to be used for vehicle filling stations, industrial processes and heating. The scientific problem addressed in this paper is the proper sizing of capacities for renewable energy generation, hydrogen conversion and storage in relation to a feasible business case for the energy hub while achieving security of supply. Scenario analysis is often used during the early stages of the energy planning process, and for this an easy-to-use analysis model is required. This paper investigates available modelling approaches and develops an algorithmic modelling method which is worked out in Microsoft Excel and offers ease of use for scenario analysis purposes. The model is applied to case study, which leads to important insights such as the expected price of hydrogen and the proper sizing of electrolyser and hydrogen storage for that case. The model is made available open-source. Future work is proposed in the direction of application of the model for other project cases and comparison of results with other available modelling tools. Full article
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