100% Renewable Energy Transition: Pathways and Implementation

• Main Author: Breyer, Christian (auth)
• Other Authors: Oei, Pao-Yu (auth), Kemfert, Claudia (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering & technology; Demand Response; Energiewende; energy system modeling; market value; interconnector capacities; energy sector integration; sector-coupling; aviation; renewables; net metering; 100% RE pathways; variable renewable energy sources; energy transformation; renewable energy; blackout prevention; vehicle-to-grid; energy market; energy storage; road; electric vehicle; electrostatic-driven inertia; RE integration; carbon dioxide reduction; Orkney; energy system optimisation; transport sector; island energy system transition; pumped hydro storage; storage solutions; climate policies; rail; power-to-gas; electricity market modeling; greenhouse gas emissions; renewable transition; community; India; delayed grid expansion; wind power; blockchain; smart grid technologies; Åland; Germany; solar energy; renewable integration; energy system modelling; Solid State Transformer; decarbonization; immunity; system-friendly renewables; marine; transportation demand; numeric modelling; microgeneration; flexibility; prosumer; microgrid; maritime transportation; European electricity system; Samsø; resilience; smart energy system; microgrid by design; global energy system model (GENeSYS-MOD); electricity markets; energy community; sector coupling; final energy demand; energy transition; energy policy; electrification; agent-based modelling; levelized cost of mobility; dynamic positioning; gamification; ship's electrical power system; regulation; Madeira; GENeSYS-MOD; open energy modelling; Mexico; 100% renewable energy
• Online Access: DOAB: download the publication; DOAB: description of the publication

Energy markets are already undergoing considerable transitions to accommodate new (renewable) energy forms, new (decentral) energy players, and new system requirements, e.g. flexibility and resilience. Traditional energy markets for fossil fuels are therefore under pressure, while not-yet-mature (renewable) energy markets are emerging. As a consequence, investments in large-scale and capital intensive (traditional) energy production projects are surrounded by high uncertainty, and are difficult to hedge by private entities. Traditional energy production companies are transforming into energy service suppliers and companies aggregating numerous potential market players are emerging, while regulation and system management are playing an increasing role. To address these increasing uncertainties and complexities, economic analysis, forecasting, modeling and investment assessment require fresh approaches and views. Novel research is thus required to simulate multiple actor interplays and idiosyncratic behavior. The required approaches cannot deal only with energy supply, but need to include active demand and cover systemic aspects. Energy market transitions challenge policy-making. Market coordination failure, the removal of barriers hindering restructuring and the combination of market signals with command-and-control policy measures are some of the new aims of policies.The aim of this Special Issue is to collect research papers that address the above issues using novel methods from any adequate perspective, including economic analysis, modeling of systems, behavioral forecasting, and policy assessment.The issue will include, but is not be limited to: Local control schemes and algorithms for distributed generation systems; Centralized and decentralized sustainable energy management strategies; Communication architectures, protocols and properties of practical applications; Topologies of distributed generation systems improving flexibility, efficiency and power quality; Practical issues in the control design and implementation of distributed generation systems; Energy transition studies for optimized pathway options aiming for high levels of sustainability