Reprint

Sustainable Development of Electrical Energy Storage Technologies in Energy Production

Edited by
April 2021
288 pages
  • ISBN978-3-0365-0928-0 (Hardback)
  • ISBN978-3-0365-0929-7 (PDF)

This book is a reprint of the Special Issue Sustainable Development of Electrical Energy Storage Technologies in Energy Production that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts and Humanities
Summary
Nowadays, energy production increase has been proven a globally contentious issue, as it counts variable stakeholders of competitive interests. Such indicative competitive interests are land use for energy crops against maximizing agricultural production yields, as well as the gradually localized trend of energy production from renewables, compared to the central overexploitation of fossil-fuelled energy sources in mainland grids of energy production. In response to this multi-parametric contradiction on traditional and novel approaches of energy production, this Special Issue aims at attracting researchers whose scientific interest resides in the electrical energy storage (EES) systems in a wide range of applicability: Technological advancements, environmental impacts, economies of scale achievement, active involvement of renewables in EES technologies, socio-economic impacts upon EES diffusion in regional and globalized contexts of analysis. The main limitations and the challenges derived from these scientific approaches will formulate a fresher scientific viewpoint of novel insights upon EES applicability in developed and developing economies, accordingly. Papers selected for this Special Issue are subject to a rigorous peer review procedure, enabling an integrated manner of dissemination upon research advancements and multi-disciplinary dynamics, accordingly.
Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
fuzzy logic; AHP; biomass; Greece; land suitability; energy storage; power system planning; wind power generation; stochastic processes; renewable energy sources; social acceptance; WTP; CVM; logit regression; irrational energy management; environmental education; energy education programs; active participation of students; data centers; waste heat re-use; thermal energy flexibility; thermal profile adaptation; neural networks; computation fluid dynamics; renewable energy sources; energy mix; smart grid integration; energy balance; soybean; corn; crude oil; energy markets; sustainable development; renewable energy sources; life quality; RES public acceptance; logit regression; environmental education; renewable energy sources; cluster analysis; factor analysis; survey; variable renewable energy sources; hybrid energy sources; scheduling; non-dispatchability; reliability; high voltage direct current (HVDC); power transmission; DC/DC converter; high voltage gain; modular; multi-port; renewable energy; energy consumption; Gross Domestic Product; economic growth; battery grade carbon; waste tires; lithium-ion batteries; pouch cells; disordered carbon microstructure; surface coating; carbon emission allowance allocation; emission mitigation; coal-fired power generation; cap and tax mechanism; municipal waste; energy; New Zealand; incineration; anaerobic digestion; pyrolysis; gasification