Energy economic modeling and technology innovation towards carbon neutrality
摘要截稿:
全文截稿: 2024-12-31
影响因子: 5.203
期刊难度:
CCF分类: 无
Overview
This special issue aims to explore the scientific issues related to energy economic modeling and policy design in consideration of new technology innovation that supports the national carbon neutrality strategy. It seeks to offer new insights into enhancing the modeling capacity to effectively manage energy transition and climate change.
Guest editors:
Peng Zhou, Professor, Institute for Energy Economics and Policy, China University of Petroleum (East China)
Yi-Ming Wei, Professor, Centre for Energy and Environmental Policy, Beijing Institute of Technology
Gang Wu, Professor, Department of Management Science, National Natural Science Foundation of China
Special issue information:
Many countries have already proposed various action plans to achieve carbon neutrality. The pursuit of carbon neutrality presents new challenges for economic and social systems, including significant investments and external costs, carbon inequality and welfare loss, and financial and political risks associated with climate transition (Sovacool et al., 2022; Vermeulen et al., 2021; Zhuo et al., 2022). This complex transformation requires the effective utilization of policy models and the implementation of more efficient and systematic management approaches.
Building the integrated policy modeling system provides the scientific basis for effectively addressing global climate challenges. For example, integrated assessment models (IAMs) help to systematically simulate the interactions between energy and environmental, economic and social systems, becoming one of the mainstream analytical tools for climate research (Dowlatabadi and Morgan, 1993). As a result of continuous research inputs and refinements, a variety of global and regional models such have been developed and applied for supporting policy analysis and making. Optimization models, evolutionary game modeling and new policy evaluation and simulation techniques have also played a key role in examining global climate change issues.
When modeling carbon-neutral policies and management systems, it is important to consider the emerging trends and challenges. For example, breakthrough or disruptive innovation in clean energy and low-carbon technologies offer high transformative potential for climate change mitigation, while they may face strong incumbent resistance and increasing transitional cost (Wilson, 2018). The social cost of carbon is found to be increasing, which highlights the need for higher carbon prices and intensified climate policies (Tol, 2023). It also places greater demands on the design of rational carbon pricing and carbon market mechanisms. The intermittent nature of renewable power generation imposes stresses on power systems and calls for coordination of energy resources and new control strategies (Smith et al., 2022). Additionally, ensuring energy security under carbon neutrality targets has become a key focus in recent studies. Energy system transition risks under transitional uncertainties, such as stranded assets risks, risks of large-scale renewable energy access and supply chain risk caused by disruptions have gained more attention (Goodell et al., 2023; Jin et al., 2021; Zhou et al., 2023).
The quest for solutions to achieve carbon neutrality involves striking a balance between diverse design options and competing interests (Pickering et al., 2022). The opportunities and challenges of energy transformation also vary across different technologies, industries and regions (Xu et al., 2021). It necessitates considering the uncertainties in technology innovation, heterogeneous characteristics and multi-objectives when developing energy models for derive practical emission reduction pathways under different scenarios.
In light of these complexities, a multidimensional policy framework is needed to promote inter-industry, inter-regional, inter-sectoral, and other forms of multi-system coordination during this transformation (Rogge et al., 2022). A breakthrough is also needed in the development of energy economy models that address the coupling of micro-uncertainty with macro-integrated models.
Special issue information:
This special issue aims to explore the scientific issues related to energy economic modeling and policy design in consideration of new technology innovation that supports the national carbon neutrality strategy. It seeks to offer new insights into enhancing the modeling capacity to effectively manage energy transition and climate change.
Topics covered in this special issue are (not limited to):
Energy models considering multi-regional heterogeneities under the carbon neutrality goal
Incentive mechanism design for low-carbon technologies in typical regions and key industries
Potential for disruptive energy technological innovation to accelerate decarbonization
Techno-economic analysis for the low carbon transition in power systems
Modeling and dynamic optimization of emission reduction mechanisms considering social justice
Risk transmission mechanism and modelling of the energy system transition
Scenario analysis considering uncertainties in multidimensional socioeconomic factor