Reprint

Sustainable Energy Systems: Emerging Technologies and Practices in Renewable Energy Storage

Edited by
October 2023
282 pages
  • ISBN978-3-0365-8914-5 (Hardback)
  • ISBN978-3-0365-8915-2 (PDF)

This book is a reprint of the Special Issue Sustainable Energy Systems: Emerging Technologies and Practices in Renewable Energy Storage that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities
Summary

As climate change and environmental degradation worsen, renewable energy alternatives are more needed than ever. Addressing this worldwide issue brings difficulties and opportunities. Renewable technology has a major impact on the environment and climate change, presenting promise for lowering carbon emissions and global warming. Governments and organizations worldwide are creating renewable energy policies to expedite the transition to sustainable energy. This involves promoting a hydrogen economy, carbon accounting, and regional renewable installation laws. Solar, wind, biomass, and geothermal technologies are used to generate clean energy. EVs are helping renewable power systems peak-shave, load-follow, and build swappable storage stations. Advanced power electronic converters optimize renewable energy grid integration. Energy storage technologies including electrochemical, thermoelectric, and electromagnetic devices are improving renewable power system stability and resilience. Smart grids, microgrids, and machine learning are transforming renewable grids into more flexible, dependable, and self-healing ones. Renewable energy optimization, control, and forecasting are crucial for efficient energy generation and delivery. Renewable and distributed system planning, output power smoothing, and energy storage efficiency are crucial for the adoption of renewables. Load forecasting, demand response, and machine learning are changing renewable storage systems to improve power quality, grid stability, and renewable flexibility.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
demand response; demand-side management; energy consumption optimization; energy efficiency; load scheduling; smart grid; smart home; virtual inertia control; renewable energy resources; solar and wind energy; superconducting magnetic energy storage (SMES); fractional-order proportional integral (FOPI); frequency response; photovoltaic; autonomous control; electric vehicles; adaptive control; maximum power point tracking; nonsingular fast terminal sliding mode control; permanent magnet synchronous generator; wind-energy-conversion system; water footprint; agricultural product; energy footprint; carbon dioxide emission; water-energy-food nexus; grid fault restoration; renewable microgrid; power system stabilizer; voltage stability; BELBIC; photovoltaic; wind energy; maximum power point tracking; energy storage system; hybrid microgrid; nonlinear control; power management; solar PV generation; wind power generation; renewable energy sources; power fluctuation; energy storage systems; selection criteria; unit commitment; battery energy storage systems; wind-farm uncertainty; distributionally robust optimization; solar pv uncertainty; distributed generators; energy storage system; droop control; frequency regulation; inertia constant; state of charge; PSCAD/EMTDC; renewable energy sources; fuel cell; photovoltaic; maximum power point; fractional order PID; biohydrogen; gasification; feedstocks; biohydrogen production; dark fermentation