Manuscript Topics

Solar, wind, geothermal, biomass and hydroelectric power are renewable energy technologies that can be used to generate green energy. Green energy sources are sustainable compared to fossil fuels. Use of fossil fuels often cause contamination; mining and drilling operations for fossil fuels also sabotaging ecosystems. Green energy conversion modelling and simulation is important to the better harvesting and utilization of solar, wind, geothermal, and hydropower systems in the twenty-first century, forming the topics of futuristic green energy conversion systems. To effectively address the patterns of green energy conversions, models dealing with high spatial and temporal resolutions are required. Despite advances in energy-system modeling and analysis, accurate and fast computing modelling tools are desirable to meet the need of the future growth for better energy conversion systems.

All contributions concerning numerical sensitivity analysis, as well as statistical scattering or stochastic phenomena in various forms of energy exchanges, are welcome. Numerical analytic abilities or a computer program are used to develop and solve mathematical models representing the most critical aspects of a physical system in a typical modelling and simulation task in green energy systems. Modelling tools may be used to analyze enormous amounts of data in the design of sustainable energy systems, while simulations may be used to graphically portray how things would emerge and be perceived in such scenarios.

Modeling and simulation of Battery Expanded Energy Storage (BESS) systems for grid applications has recently gained worldwide attention due to its reliability and provide ancillary support and services for non-programmable renewable energy sources. Interconnected power systems can safely and reliably integrate high levels of renewable energy from variable renewable energy sources, according to studies and real-world experience. The use of energy models to scrutinize the behavior of green energy conversion systems in wind energy involves costly and time-consuming experimental trials determining the behavior of these systems. Important modelling parameters for modelling an efficient hydroelectric system (HES) include the hydraulic impedance of the pipeline, the water start time, the buffer tank storage constant, the flow relationship, the water velocity in the duct and the relationship between the standard flow rate and the standard water velocity in the vent. Reservoir models are models for developing the analysis of geothermal systems as they produce much more accurate results.

The main problems associated with the modelling and simulation of energy systems are temporal and random uncertainty. Uncertainties in weather and climate prediction, intricacy, variable inconsistency, and instability are critical problems for modelling and simulation in green energy systems. Making a compact model assumption, evaluating, and validating with different data sources can help overcome these challenges.

The topics of interest for the special issue include but not limited to the following:
• Weather and climate variation and effect to the robustness of Global energy systems;
• Thermodynamics for renewable energy systems, Simulation, and Future Tendency Predictions;
• Use temperature and precipitation fields to assess the hydropower potentials;
• Validation of Empirical and mechanistic modelling in mathematical analysis for Green Energy Conversion Systems;
• Technologies to reduce emissions from fossil fuels, and combination of renewable energy with traditional fossil fuel energy for low emission global energy systems;
• Analysis of knowledge-based, agent-based and network-based modelling in computational modelling of green energy conversion systems;
• How to better use green energy to alleviate the harmful consequences of fossil fuels with more environmentally friendly substitutes;
• Future enhancement of model for geothermal systems and fine-tune PV system models for green energy conversion systems;
• Intelligent power plant planning and regulation for future grids in green energy system conversions;
• Future progressions in neural network modelling for Photovoltaic systems;
• Advanced  Control and optimization methods in potential power system models.

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