Modelling and Simulation of Renewable Energy Sources Based on Multi-Agent System
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 3208
Special Issue Editors
Interests: energy and environment; process control; system analysis; design optimization; mechanical and gas turbine engineering; aerospace; defense
Special Issues, Collections and Topics in MDPI journals
Interests: energy and aerospace systems; electrification; renewables; artificial intelligence; multi-agent systems; model-based and data-driven control; multi-objective optimization; aerodynamics; aeroacoustics; experimental fluid mechanics
Interests: district heating networks; multi-energy systems; smart control; sector integration; renewables; energy systems optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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
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Keywords
- modelling
- simulation
- multiagent systems
- control
- optimisation
- artificial intelligence
- renewable energy
- real-time systems
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