Conventional energy infrastructures that heavily relied on fossil fuels are considered as the primary cause of the energy crisis and climate change. Particularly, the influence of global warming may be catastrophic: e.g., the heat waves, rising sea levels, more frequent and severe droughts, storms and hurricanes. The decarbonization of energy sectors is very urgent. Various technical efforts, e.g., renewable energy (RE) generation, hydrogen-based clean energy storage and transmission, and demand response (DR) programs, are committed. Also, the development of the Energy Internet promotes the synergy and interaction of different energy-carrier systems (e.g., electrical power grids, heating networks, and gas supply systems), which offers more abundant measures for reducing carbon dioxide emissions. To achieve the full strengths of emerging technologies and pave the pathway towards a carbon-neutral future society, the new structure of RE-based multi-energy systems needs to be analytically studied and optimally designed.
This Research Topic seeks original thoughts and novel methodology to address the timely issues in achieving synergetic multi-energy decarbonization. The carbon-free and sustainable objectives should be fully considered in the energy systems planning, scheduling, control, and market design. Also, they should be properly coordinated with specific constraints on economics, reliability, resilience and cyber-physical security. Hence, it may demand multidisciplinary expertise and strong analytical tools from different fields, e.g., energy & power systems research, computer and information science, automation science and mathematics. In addition, we encourage empirical analysis and engineering practice for effective emission controls and carbon mitigation.
The main topics of interest include but are not limited to:
• Modeling, analysis and simulation of multi-energy systems under a carbon-neutral perspective.
• Analytical tools of carbon footprint track and calculation for multi-energy systems.
• Low-carbon planning and operational scheduling of multi-energy systems.
• Carbon-free distributed energy systems with synergetic power, hydrogen, natural gas, heat and cooling supply.
• Clean energy and carbon markets.
• Application of AI and Big-Data techniques for developing carbon-neutral energy systems.
• RE generation system evaluation and parameter estimation of RE models.
• Economic, environmental and social benefits analysis of energy system decarbonization.
Conventional energy infrastructures that heavily relied on fossil fuels are considered as the primary cause of the energy crisis and climate change. Particularly, the influence of global warming may be catastrophic: e.g., the heat waves, rising sea levels, more frequent and severe droughts, storms and hurricanes. The decarbonization of energy sectors is very urgent. Various technical efforts, e.g., renewable energy (RE) generation, hydrogen-based clean energy storage and transmission, and demand response (DR) programs, are committed. Also, the development of the Energy Internet promotes the synergy and interaction of different energy-carrier systems (e.g., electrical power grids, heating networks, and gas supply systems), which offers more abundant measures for reducing carbon dioxide emissions. To achieve the full strengths of emerging technologies and pave the pathway towards a carbon-neutral future society, the new structure of RE-based multi-energy systems needs to be analytically studied and optimally designed.
This Research Topic seeks original thoughts and novel methodology to address the timely issues in achieving synergetic multi-energy decarbonization. The carbon-free and sustainable objectives should be fully considered in the energy systems planning, scheduling, control, and market design. Also, they should be properly coordinated with specific constraints on economics, reliability, resilience and cyber-physical security. Hence, it may demand multidisciplinary expertise and strong analytical tools from different fields, e.g., energy & power systems research, computer and information science, automation science and mathematics. In addition, we encourage empirical analysis and engineering practice for effective emission controls and carbon mitigation.
The main topics of interest include but are not limited to:
• Modeling, analysis and simulation of multi-energy systems under a carbon-neutral perspective.
• Analytical tools of carbon footprint track and calculation for multi-energy systems.
• Low-carbon planning and operational scheduling of multi-energy systems.
• Carbon-free distributed energy systems with synergetic power, hydrogen, natural gas, heat and cooling supply.
• Clean energy and carbon markets.
• Application of AI and Big-Data techniques for developing carbon-neutral energy systems.
• RE generation system evaluation and parameter estimation of RE models.
• Economic, environmental and social benefits analysis of energy system decarbonization.
