Special Issue on "Modeling Deep Decarbonization: Robust Energy Policy and Climate Action"
摘要截稿:
全文截稿: 2018-08-31
影响因子: 8.848
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 1区
• 小类 : 能源与燃料 - 1区
• 小类 : 工程:化工 - 1区
Overview
Deep decarbonization of our economy is the only way to limit global mean temperature rise below 1.5 or 2℃. The challenge to achieve this geophysical necessity should be seen in the context of present-day average temperatures that are already around 1℃ higher than pre-industrial levels, global greenhouse gas (GHG) emissions having continued over the past couple of decades, and the lock-in effects of carbon-intensive growth pathways. Achieving deep decarbonization implies a significant mobilization of technical, financial, and policy resources, all of which require careful coordination against a backdrop of major uncertainties. Advances in modeling science have simultaneously expanded the insights available from integrated assessment models (IAMs) and energy system models (ESMs), and increased their relevance for climate and energy decision makers. Actually, there are remarkable differences in model structure, methods, and assumptions, including geographic scales, regional divisions, planning horizons, theoretical bases; and assumptions about population and economic growth, the availability of energy technologies, exogenous technological advancement, and climate policy options. Such differences may lead to notable discrepancies in findings and policy suggestions.
This special issue welcomes original research on deep decarbonizaiton modeling, with particular focuses on multi-model comparisons, including but not limited to the following aspects:
- Deep decarbonization pathways: model findings and effects of model differences on deep decarbonization pathways, including clean energy deployment, energy efficiency enhancement, non-energy emissions abatement, and economic and social restructuring.
- Exploring model differences: why models differ in their findings–what’s really driving the differences, and what are the implications for decision makers trying to interpret modeling results?
- Addressing model uncertainty: uncertainty modeling in top-down or bottom-up frameworks, and potential influences of key variable, parameter and scenario uncertainties on models’ robustness.
- Assessing model limits: the gap between modeled decarbonization pathways and policy and technology implementation, including innovative techniques to address this issue in IAMs, ESMs and other 3E-integrated models.
- Modeling robust mitigation contributions: understanding equitable contributions of mitigation, both at the national and regional scales, given the 2-degree or 1.5-degree warming-limit targets.
- Energy and technology trade implications of Paris Agreement: country’s position as an energy, energy technology, and energy resource producer and trader, given the goals of the Paris Agreement.
- Implications of national leadership for deep decarbonization: effects of main emitters’ policy and technology options on setting the mitigation agenda and transiting to zero-carbon or negative-carbon energy system of the other states.
- Projections of emissions’ pathways across models: carbon and non-carbon forecasting, pathway analysis, and possible interactions with macro economy and energy technology systems, in the context of deep decarbonization.
- Advances in linking modeling and mitigation policy making: innovative techniques for communicating modeling results to decision makers, characterizing model complexity and uncertainty, establishing model legitimacy, and building the capacity of policy-making agencies to interpret and use models.
- Deep decarbonization modeling in developing countries: significant data limitations, deficits in technical capacity, modeling informal economies, changes in economic structure, de facto sub-optimal energy supply.
- Sectoral decarbonization and energy restructuring: modal shift in passenger and freight transportation (electrification of passenger road transportation), robust building energy restructuring, decarbonization of power generation and dispatch.
- Cross-model assessment of affordability for deep decarbonization: portfolio optimization between efficiency improvement and low-carbon transition, costs of supplying and using energy under deep decarbonization, roles of regional policies and international cooperation in cost reduction and saving.
This Special Issue solicits original work on modeling deep decarbonization. All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journals or conferences. Papers must not exceed 25 pages (one-column, at least 11pt fonts) including figures, tables, and references. A detailed submission guideline is available as "Guide to Authors" at: http://www.journals.elsevier.com/applied-energy.