论文标题

电气系统的电气基础设施计划深度脱碳

Electric-Gas Infrastructure Planning for Deep Decarbonization of Energy Systems

论文作者

Khorramfar, Rahman, Mallapragada, Dharik, Amin, Saurabh

论文摘要

向深度脱碳的能源系统的过渡需要协调对基础设施投资和运营的计划,这些投资和运营为多种最终效率提供服务,同时考虑了跨部门的技术和政策互动。电力和天然气(NG)是当今能源系统的重要向量,将来可能会以不同的方式耦合,这是由于电气化的增加,在电力部门采用可变可再生能源(VRE)的产生以及诸如跨部门发射贸易等政策因素。本文为电力和NG基础架构的联合计划开发了一种至少成本的投资模型,该模型考虑了两个向量的各种可用技术和新兴技术选项,包括碳捕获和存储(CCS)配备的发电,低碳水化合物倒入燃料燃料(LCDF)以及长期储能(LDES(LDES))。该模型结合了两个系统的主要操作约束,并允许每个系统以与典型的调度时间尺度一致的不同时间分辨率进行操作。我们将建模框架应用于不同技术,脱碳目标和需求方案,评估美国新英格兰地区的Power-NG系统成果。在全球排放限制下,与1990年水平相比,在80-95%的排放量之间介于降低范围之间,最低成本的解决方案不成比例地依赖于使用可用的排放预算来满足非动力NG需求,并仅使用15-43 \%的发射预算来帮助电力部门。

The transition to a deeply decarbonized energy system requires coordinated planning of infrastructure investments and operations serving multiple end-uses while considering technology and policy-enabled interactions across sectors. Electricity and natural gas (NG), which are vital vectors of today's energy system, are likely to be coupled in different ways in the future, resulting from increasing electrification, adoption of variable renewable energy (VRE) generation in the power sector and policy factors such as cross-sectoral emissions trading. This paper develops a least-cost investment and operations model for joint planning of electricity and NG infrastructures that considers a wide range of available and emerging technology options across the two vectors, including carbon capture and storage (CCS) equipped power generation, low-carbon drop-in fuels (LCDF) as well as long-duration energy storage (LDES). The model incorporates the main operational constraints of both systems and allows each system to operate under different temporal resolutions consistent with their typical scheduling timescales. We apply the modeling framework to evaluate power-NG system outcomes for the U.S. New England region under different technology, decarbonization goals, and demand scenarios. Under a global emissions constraint, ranging between 80-95\% emissions reduction compared to 1990 levels, the least-cost solution disproportionately relies on using the available emissions budget to serve non-power NG demand and results in the power sector using only 15-43\% of the emissions budget.

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