可再生能源
温室气体
能量(信号处理)
碳捕获和储存(时间表)
工作(物理)
能源供应
整数规划
储能
环境经济学
零排放
环境科学
固碳
功率(物理)
化学
工程类
废物管理
计算机科学
物理
经济
气候变化
算法
量子力学
数学
二氧化碳
生态学
生物
机械工程
统计
有机化学
电气工程
作者
Mohammad Lameh,Patrick Linke,Dhabia M. Al‐Mohannadi
摘要
Abstract Reducing emissions requires transitioning towards decarbonized systems through avoiding, processing, or offsetting. Decisions on system design are associated with high costs which can be reduced at the planning stage through optimization. The temporal variations in power demand and renewable energy supply significantly impact the design of a low‐emissions energy system. Effective decision‐making must consider such impact in a comprehensive framework that accounts for the potential synergies between different options. This work presents a mixed integer linear programming model that considers the impacts of energy supply and demand dynamics to optimize the design and operation of an integrated energy system while adhering to a set emissions limit. The model integrates renewable power with CO 2 capture, utilization, and sequestration by considering H 2 production and storage. The case study showed including negative emissions technologies and CO 2 capture and processing with renewable energy allows achieving net zero emissions power.
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