The deployment of CO2 capture and storage (CCS) and negative emissions technologies (NETs) are crucial to meet the net-zero target by year 2050, as emphasised by the Glasgow Climate Pact. Over the years, several energy planning models have been developed to address the temporal aspects of carbon management. However, limited works have incorporated CCS and NETs for bottom-up energy planning at the individual plant scale, which is considered in this work. The novel formulation is implemented in an open-source energy system software that has been developed in this work for optimal decarbonisation planning. The DECarbonation Options Optimisation (DECO2) software considers multiperiod energy planning with a superstructural model and was developed in Python with an integrated user interface in Microsoft Excel. The software application is demonstrated with two scenarios that differ in terms of the availabilities of mitigation technologies. Results demonstrated the potential of fuel substitutions for low-carbon alternatives in existing coal and natural gas power plants. Additionally, once NETs are mature and are available for commercial deployment, their deployment is crucial in aiding CO2 removal in minimal investment costs scenarios. Overall, the newly developed open-source software demonstrates the importance of determining the optimal deployment of mitigation technologies in meeting climate change targets for each period.
翻译:正如格拉斯哥气候条约所强调,部署二氧化碳捕获和储存(CCS)和负排放技术(NETs)对于在2050年前实现净零目标至关重要,正如《格拉斯哥气候协定》所强调,多年来,已经开发了若干能源规划模型,以解决碳管理的时间方面问题;然而,在这项工作中考虑的单个工厂规模的自下而上能源规划方面,有限的工作包括了CCS和NET,这是自下而上的能源规划,在单个工厂规模的能源规划方面是有限的;在这项工作中开发的开放源能源系统软件中采用了新的配方,用于最佳脱碳规划; DECarbonation 选项优化软件(DECO2)考虑采用超结构模型进行多期能源规划,并在Python开发了多期能源规划,并在微软Excel的综合用户界面下开发了能源规划; 软件应用展示了两种不同的情景,即缓解技术的可用性不同; 结果表明,现有煤炭和天然气电厂的低碳替代燃料具有潜力; 此外,一旦网络已经成熟并可供商业部署,其部署对于在最低投资成本设想中协助CO2清除至关重要。