Modelling and Simulation of Renewable Energy Sources Based on Multi-Agent System

Dear Colleagues,

The integration of renewables constitutes a priority with regard to decarbonising the energy sector. A higher share of renewables and sectoral integration can help in the transition to coherent energy systems. This shift demonstrates substantial potential in terms of environmental and economic benefits. Renewable energy sources introduce additional flexibility in the operation of integrated systems. This is accompanied by a corresponding increase in complexity. Therefore, more effort is required for alleviating the social barriers, handling the legal implications, and realising the technical implementation at a large scale.

Modelling and simulation are indispensable tools for evaluating present and future renewable energy plants. Concurrently, vast amounts of real-time and historic data are measured in existing systems. The available streams of data, along with established scientific intuition, give rise to physics-based, data-driven or hybrid models for existing and conceptual energy complexes. Multiagent systems comprise intelligent entities able to interact, self-organise and self-direct. A series of challenges is associated with the development, testing and productionisation of multiagent systems. This type of modelling and simulation architecture can be the catalyst for the energy transition and unleash the potential of renewable energy.

This Special Issue is open, but not limited, to contributions in the following focus areas:

• Modelling and simulation of renewable energy plants and systems;
• Physics-based, data-driven, or hybrid modelling approaches;
• Real-time and/or adaptive models;
• Techno-economic and environmental assessment;
• Probabilistic approaches and uncertainty quantification;
• Feedback or feedforward control;
• Machine learning and artificial intelligence applications;
• Single- or multivariable/objective optimisation;
• Multiagent systems;
• Model-in-the-loop and hardware-in-the-loop applications;
• Site demonstrations and experimental approaches

Prof. Dr. Konstantinos Kyprianidis
Dr. Stavros Vouros
Dr. Costanza Saletti
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 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. 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.

• modelling
• simulation
• multiagent systems
• control
• optimisation
• artificial intelligence
• renewable energy
• real-time systems