Developing and assessing rapid energy decarbonisation scenarios considering technical constraints

为了实现日益具有挑战性的脱碳目标，考虑到技术网络限制，实施相关干预措施至关重要。无论如何，在剩余的碳预算中，仍然没有充分考虑到减少碳的干预措施的导入时间、交付速度和技术限制。该博士学位旨在解决时间，碳预算和能源系统变化的问题，以直接应用于城市规模规划。具体目标包括：㈠模拟技术限制，例如，电力网络加固和相关的施工准备时间，以在建筑和运输部门实施地方当局规模的干预措施。(ii)确定需求模式和财务流程的必要变化，以达到技术和经济上可行的最高碳减排率。(iii)确定可以采取关键脱碳干预措施以实现气候变化目标的最新时间点。(iv)开发新的方法来预测城市一级的净碳节约-包括支持改进能源需求和排放的近期预测的技术。

In order to meet the increasingly challenging decarbonisation targets, the delivery of relevant interventions considering technical network constraints is critical. Regardless, lead-in time, speed of delivery and technical constraints for interventions to reduce carbon are still not fully considered in the context of the remaining carbon budget. This PhD aims to address these issues of time, carbon budgets and energy system change for direct application in city scale planning. Specific objectives include:(i) Model technical constraints, e.g., electricity network reinforcements and relevant construction lead-in times, to implement interventions at local authority scale across buildings and transport sectors.(ii) Identify needed change in demand patterns and financial processes to reach the highest technically and economically feasible carbon reduction rate.(iii) Identify the latest points in time when key decarbonisation interventions can be made to meet climate change targets.(iv) Develop new methods for projecting the net carbon saving at a city level - including techniques to support improved near-term forecasting of energy demand and emissions.