Minimising whole life carbon emissions in a multi-site utility

该项目的总体目标是制定一种方法，用于测量和报告来自运营、资本项目和供应链的所有温室气体排放量，该方法嵌入（或可以嵌入）新威尔士的企业系统/流程。该项目需要考虑和规划水基础设施的复杂性，包括投资周期和弹性基础设施系统，使用整体系统思维，因此它涵盖了广泛的学术主题，包括土木工程，工艺工程和环境经济学。PhD的计划产出是：* 符合/超过现行标准IS 014064/PAS 2080等的操作和隐含排放的全寿命模型。* 基于新的测量或学术信息，改进/验证了NWL站点过程排放的排放因子。* * 根据新的商业/学术信息，确定更好地代表独特来源/供应商的运营消耗品（如化学品）的排放系数。* NWL资本计划产生的隐含碳的改进/验证排放系数。* 至少2篇在高影响力期刊上发表的研究论文，如《工业生态学》，水资源或整体环境科学 * 数据收集和测量系统，以实现对运营排放的短间隔控制最终，NWL希望将此全生命周期模型纳入其决策过程，以确保弹性运营和长期运营。通过正确考虑其运营和投资的气候变化缓解和适应影响，进行长期规划，这项博士研究将支持这一目标。

The overarching aim of the project is to develop a methodology for measuring and reporting all GHG emissions from operations, capital projects and the supply chain which is (or can be) embedded within NWL's corporate systems/processes. The project needs to consider and map out the complexity of water infrastructure, including investments cycles and resilient infrastructure systems, using whole systems thinking and therefore it covers a breadth of academic topics, including civil engineering, process engineering and environmental economics. The planned outputs of the PhD are: * A whole life model for operational and embodied emissions which meets/exceeds current standards IS014064/PAS2080 etc. * Improved/validated emissions factors for process emissions from NWL sites, based on new measurements or academic information. * Develop risk matrix for capital programme and the resilient infrastructure systems * Determine emissions factors for operational consumables (such as chemicals) which better represent unique sources/suppliers based on new commercial/academic information. * Improved/validated emissions factors for embodied carbon attributable to NWL's capital programme. * At least 2 research papers in high impact journals e.g. Industrial Ecology, Water Resources or Science of the Total Environment * Data collection and measurement systems to allow short interval control of operational emissions Ultimately NWL wishes to incorporate this whole life model into its decision-making processes in order to ensure resilient operations and long-term planning by correctly considering the climate change mitigation and adaptation impacts of its operations and investments and this PhD study will support this ambition.