Resolving the effects of heterogeneity and technological progress on carbon mitigation costs

解决异质性和技术进步对碳减排成本的影响

• 批准号: 1605319
• 负责人: Eric Williams
• 金额: $ 29.78万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1605319&HistoricalAwards=false
• 关键词: Resolving; effects; heterogeneity; technological; progress

1605319Williams, EricUnderstanding the cost of mitigating carbon emissions is critical in planning societal responses to climate change. Carbon interventions have broad sustainability benefits since energy-related environmental emissions and resource challenges are also mitigated. Market heterogeneity and technological progress are important but poorly understood factors in mitigation cost. In many energy system analyses, all adopters of a technology are considered the same as an average one. However, there is often large heterogeneity in benefits to different adopters. If mitigation efforts are focused on the most effective sub-groups, mitigation costs can be significantly lower. In additional, if technological progress is rapid, adoption by favorable subgroups can stimulate cost reductions, making the technology more attractive to other consumers. In this research, a new Marginal Abatement Cost Curve (MACC) will be developed for the United States that accounts for heterogeneity and technological progress. A Marginal Abatement Cost Curve orders interventions from least to highest mitigation cost combined with the total mitigation potential for each technology assuming wide adoption. Marginal Abatement Costs Curves provide insight into prioritization and relative potential of mitigation options and are widely used in policy discourses at national, state, and city levels. The new MACC curve covers technological interventions from residential and commercial buildings, transportation and renewable energy sectors. Heterogeneities in geography, behavior and technology stock will be are analyzed. Examples of geographical heterogeneity include availability of wind resources and climate-related variability of heating and cooling demand in buildings. Behavioral heterogeneity includes thermostat settings and usage patterns of appliances. Stock heterogeneity refers to variation in the efficiency of current equipment or infrastructure. The complexity of different heterogeneities will be managed through cluster analysis to identify adopter subgroups with similar characteristics. Cost reductions will be predicted with retrospective forecasting approaches, mainly experience curves. Use of modern data analysis techniques such as cluster analysis enables the integration of several federal micro-data sets into technology adopter subgroups with distinct mitigation costs. Accounting for the sequencing of adoption in heterogeneous markets combined with technological progress leads to new insights into potential reductions in mitigation costs. Accounting for heterogeneity and technological progress is important beyond marginal abatement curves, as these factors also affect results of integrated energy-economic models such as the National Energy Modeling System (NEMS). The cost of mitigating carbon is a critical sustainability challenge. Despite the importance of this question, treatment of abatement costs routinely neglect important heterogeneities. Combining heterogeneity with the potential of technological progress to reduce costs for later adopters should reveal significant opportunities to lower mitigation costs, which can directly inform US climate and energy policies. To engage relevant communities, two workshops will be organized. The first workshop will be held adjacent to the annual conference of the U.S. Association for Energy Economics, and will engage academia, consulting firms and utilities. The second workshop will be held in Washington D.C. for policy decision makers. The dataset that describes heterogeneities will be of general interest to the energy modeling community and will be distributed freely via the Internet. A high school cohort from underrepresented groups will be engaged in a summer camp covering energy issues and careers. Broader groups of students and faculty will be reached through development of online modules and dissemination through the Center for Sustainable Engineering.

1605319威廉姆斯，埃里克了解减少碳排放的成本在规划社会应对气候变化方面至关重要。碳干预措施具有广泛的可持续性效益，因为与能源相关的环境排放和资源挑战也得到了缓解。市场异质性和技术进步是缓解成本的重要但知之甚少的因素。在许多能源系统分析中，一项技术的所有采用者都被视为与普通采用者相同。然而，不同采用者的收益往往存在很大的异质性。如果缓解努力集中在最有效的子组上，缓解成本可以显著降低。此外，如果技术进步很快，有利的细分群体的采用可以刺激成本降低，使技术对其他消费者更具吸引力。在这项研究中，将为美国开发一个新的边际减排成本曲线(MACC)，该曲线考虑了异质性和技术进步。边际减排成本曲线将干预措施从最低缓解成本到最高缓解成本与假设广泛采用的每项技术的总缓解潜力排序。边际减排成本曲线提供了对缓解方案的优先顺序和相对潜力的洞察，并在国家、州和城市各级的政策论述中广泛使用。新的MACC曲线涵盖了住宅和商业建筑、交通运输和可再生能源部门的技术干预。分析了地理异质性、行为异质性和技术存量异质性。地理异质性的例子包括风资源的可获得性以及建筑物供暖和制冷需求的与气候有关的可变性。行为异质性包括恒温器设置和电器的使用模式。库存异质性指的是当前设备或基础设施效率的差异。不同异质性的复杂性将通过聚类分析进行管理，以确定具有相似特征的采养者亚群。成本削减将通过回溯性预测方法进行预测，主要是经验曲线。使用现代数据分析技术，如集群分析，可以将若干联邦微观数据集整合到技术采纳者分组中，并承担不同的缓解成本。考虑到在不同市场中采用的顺序，结合技术进步，可以对缓解成本的潜在降低产生新的见解。除了边际减排曲线之外，考虑异质性和技术进步也很重要，因为这些因素也影响国家能源建模系统(NEMS)等综合能源经济模型的结果。缓解碳排放的成本是一个关键的可持续性挑战。尽管这个问题很重要，但对减排成本的处理往往忽略了重要的异质性。将异质性与技术进步降低后采用者成本的潜力结合起来，应该会揭示降低缓解成本的重大机会，这可以直接为美国的气候和能源政策提供信息。为了让相关社区参与进来，将组织两个讲习班。第一个研讨会将在美国能源经济协会年度会议的旁边举行，将有学术界、咨询公司和公用事业公司参加。第二期讲习班将在华盛顿特区为决策者举办。描述异质性的数据集将引起能源模型界的普遍兴趣，并将通过互联网免费分发。来自代表不足的团体的一群高中学生将参加一个夏令营，内容涉及能源问题和职业生涯。通过开发在线模块并通过可持续工程中心传播，将接触到更广泛的学生和教职员工群体。