Smart assessment, management and optimisation of urban geothermal resources (SmartRes)

城市地热资源智能评估、管理和优化（SmartRes）

• 批准号: NE/X005607/1
• 负责人: Matthew Jackson
• 金额: $ 123.08万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FX005607%2F1
• 关键词: Smart; assessment; management; optimisation; urban

The UK uses around 50 GW of energy to heat and cool buildings with only 6% delivered from renewable sources. Heating of buildings represents almost a quarter of UK carbon emissions, while demand for cooling is projected to increase as the climate warms and summers become hotter. The UK Heat and Buildings Strategy is clear that action to reduce emissions is required now to facilitate compliance with legally binding 2050 Net Zero targets. Moreover, the current geopolitical uncertainty has highlighted the risks associated with importing energy. However, heat is challenging to decarbonise due to its extreme seasonality. Daily heat demand ranges from around 15 to 150 GW, so new green technologies for inter-seasonal storage are essential. Geothermal resources offer natural heat energy, very large-scale seasonal energy storage, cooling as well as heating, and steady, low carbon energy supply. Widespread exploitation of urban geothermal resources could deliver a significant component - and in some cases all - of the UK's heating and cooling demand, supporting UK self-sufficiency and energy security. However, barriers remain to uptake of geothermal energy, especially at large-scale in urban areas. There is uncertainty in the size of the underground resource, the long-term sustainability of urban geothermal deployments, and potential environmental impacts. New methods and tools are required to monitor and manage installations to ensure the resource is responsibly used. These knowledge gaps, along with lack of awareness and guidance available for stakeholders and decision makers, result in higher than necessary risks and therefore costs. In this project, we will remove obstacles to uptake by reducing uncertainty about how the ground behaves when used to store and produce heat and cool at a large scale in urban areas. We will focus on relatively shallow (<400m depth) geothermal resources and open-loop systems in which groundwater is pumped into and out of porous, permeable aquifer rocks underground, because these offer large storage capacity and can deliver heat and cool. Shallow, open-loop systems are also deployable in most UK urban areas and have lower investment costs than technologies which require deeper drilling. We will conduct advanced field experiments with state-of-the-art monitoring, supported by laboratory experiments, to determine the response of aquifers to storage and exploitation of heat and use the results to understand how temperature changes over a wide area as groundwater flow transfers heat within the aquifer. We will compare two different aquifers, with contrasting types of underground flow regimes, that can be exploited across much of the UK. We will also determine how temperature changes impact groundwater quality and stress ecological environments and sensitive receptors, as well as understand any risks of ground movement caused by use of the resource. The field data will be used to create calibrated heat flow models, which we can use as a 'numerical laboratory' to simulate and explore the capacity of urban geothermal and how different installations within a city might interact. The results will support planning of future resource use and assess the capacity of geothermal resources to store waste heat from industrial processes and commercial buildings and return it later when needed. We will explore the use of AI-based models that can 'learn' from data provided by geothermal operators to actively manage the resource in a responsible and integrated way. Together, this research will permit regulators to plan and permit installations to ensure fairness and prevent environmental damage, as well as ensuring system designs realistically predict the amount of energy available. Recommendations will be made for resource assessment, safe and sustainable operation and management, to stimulate the widespread development of low carbon, geothermally heated and cooled cities.

英国使用约 50 吉瓦的能源来为建筑物供暖和制冷，其中只有 6% 来自可再生能源。建筑物供暖几乎占英国碳排放量的四分之一，而随着气候变暖和夏季变得更热，预计制冷需求将会增加。英国供热和建筑战略明确表示，现在需要采取行动减少排放，以促进遵守具有法律约束力的 2050 年净零排放目标。此外，当前地缘政治的不确定性凸显了进口能源的风险。然而，由于其极端的季节性，热量很难脱碳。每日热量需求范围约为 15 至 150 吉瓦，因此用于跨季节存储的新绿色技术至关重要。地热资源提供天然热能、超大规模季节性储能、制冷供暖、稳定低碳能源供应。城市地热资源的广泛开发可以满足英国供暖和制冷需求的重要组成部分（在某些情况下是全部），支持英国的自给自足和能源安全。然而，地热能的利用仍然存在障碍，尤其是在城市地区的大规模利用。地下资源的规模、城市地热利用的长期可持续性以及潜在的环境影响都存在不确定性。需要新的方法和工具来监控和管理安装，以确保资源得到负责任的使用。这些知识差距，加上利益相关者和决策者缺乏意识和指导，导致了高于必要的风险和成本。在这个项目中，我们将通过减少城市地区大规模储存和产生热量和冷却时地面表现的不确定性来消除吸收障碍。我们将重点关注相对较浅（<400m深度）的地热资源和开环系统，其中地下水被泵入和泵出地下多孔、渗透性含水层岩石，因为这些系统提供了巨大的存储容量，并且可以提供热量和冷却。浅层开环系统也可在英国大多数城市地区部署，并且比需要更深钻井的技术具有更低的投资成本。我们将在实验室实验的支持下，通过最先进的监测进行先进的现场实验，以确定含水层对热量储存和利用的响应，并利用结果来了解地下水流转移时大范围温度的变化含水层内的热量。我们将比较两个不同的含水层，以及不同类型的地下水流状况，这些含水层可以在英国大部分地区进行开发。我们还将确定温度变化如何影响地下水质量并对生态环境和敏感受体造成压力，并了解因资源使用而引起的地面运动风险。现场数据将用于创建校准的热流模型，我们可以将其用作“数字实验室”来模拟和探索城市地热的能力以及城市内不同设施如何相互作用。研究结果将支持未来资源使用的规划，并评估地热资源储存工业过程和商业建筑余热并在需要时返回的能力。我们将探索使用基于人工智能的模型，该模型可以从地热运营商提供的数据中“学习”，以负责任和综合的方式积极管理资源。总之，这项研究将使监管机构能够规划和允许安装，以确保公平并防止环境破坏，并确保系统设计能够实际预测可用能源量。将为资源评估、安全和可持续运营和管理提出建议，以刺激低碳、地热供暖和制冷城市的广泛发展。