Advanced Modelling and Optimization Techniques for Net-Zero Energy Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 361
Special Issue Editors
Interests: solar energy; hydrogen; CFD; energy storage; heat transfer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to a Special Issue of Processes (MDPI), titled “Advanced Modelling and Optimization Techniques for Net-Zero Energy Systems.”
The global pursuit of net-zero emissions is driving rapid transformation across the energy sector. Achieving this goal demands not only the integration of renewable sources, such as solar, wind, hydro, fuel cells, and bioenergy but also the deployment of advanced modelling and optimisation frameworks to ensure efficiency, reliability, and sustainability.
This Special Issue aims to showcase recent progress in modelling, optimisation, simulation, and performance enhancement methodologies that enable the design and operation of net-zero energy systems at various scales. We welcome original research articles, reviews, and case studies that emphasise computational modelling, process integration, control, and intelligent optimisation approaches across renewable and hybrid energy applications.
Topics of interest include, but are not limited to, the following:
- Multi-objective optimisation for net-zero and renewable energy systems;
- Hybrid energy system design, integration, and process optimisation;
- Process modelling and simulation of advanced energy conversion technologies;
- Energy storage optimisation and smart management strategies;
- Artificial intelligence and machine learning for energy system optimisation;
- Exergy, environmental, and techno-economic assessment methods;
- Smart grids, energy scheduling, and load balancing strategies;
- Waste-to-energy modelling and integration;
- Life cycle optimisation and sustainability evaluation.
By emphasizing advanced modelling and optimisation techniques, this Special Issue seeks to promote innovative research that supports the development of efficient, resilient, and low-carbon energy systems worldwide. We encourage submissions by researchers, practitioners, and policymakers committed to accelerating the transition toward sustainable, net-zero energy infrastructures.
Dr. Mahmoud Eltaweel
Dr. Noha Mostafa
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.
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 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 2400 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
- renewable energy systems
- solar energy
- hydrogen production
- optimisation
- multi-objective optimisation
- hybrid systems
- simulation and modelling
- energy management
- storage optimisation
- artificial intelligence
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