Modelling, Characterisation and Optimisation of Deep Geothermal Energy in the Cheshire Basin

柴郡盆地深层地热能的建模、表征和优化

• 批准号: 1633025
• 金额: --
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1633025
• 关键词: Modelling; Characterisation; Optimisation; Deep; Geothermal

In 2008, the UK Government pledged to reduce greenhouse gas emissions by 80% before 2050. Renewable energy solutions are a key part of this commitment with deep geothermal energy systems playing an important role in this strategy. The southern region of the Cheshire Basin in the northwest of the UK is one of only a handful of economically suitable sites in the country. The basin holds around 4.6M GWh of potentially available energy, more than 6 times the national heat demand of the UK. To exploit this resource, Cheshire East Council (the CASE partner) have instigated a programme of long-term Deep Geothermal Energy (DGE) research in collaboration with local universities and Public/Private sector partners. Over 250K pounds of initial research funding has been invested into the DGE project and this 4-year, collaborative CASE studentship with Keele University's Applied and Environmental Geophysics Group forms the next stage in this ambitious development programme.In order to evaluate, characterise and optimise the delivery of deep geothermal energy as heat to homes and business in the East Cheshire region (and potentially to some 2 million consumers in the future), this CASE studentship project will attempt to simulate the transfer of heat energy from the deep geothermal reservoir (at a depth of nearly 4km), through a borehole array system and across to potential customers as low-carbon, cost-effective heating in a single, combined 'multiphysics' geothermal model. The ultimate goal of the project is to create a realist, accurate, flexible model that can be used to predict, optimise and probabilistically characterise the energy return of the Deep Geothermal Energy system when it comes online in 3-4 years' time. In addition, it is expected that the model will help inform and optimise the design of future DGE systems planned by Cheshire East council in the future. To achieve this, the student will;1) Use sophisticated geological modelling, characterisation and visualisation tools to generate a 3D model of the hydrogeological conditions at the depth of the intended borehole array using existing geophysical, borehole, structural and sedimentological data plus new information from the planned investigation work and borehole drilling at the DGE site.2) Model/simulate the 3D coupling of fluid and thermal fluxes in the active region of the borehole array system in order to predict the volume, flow and temperate of extracted waters from DGE system. The model will utilise hydro/petrophysical data information gained from the boreholes and physical/geometrical design information from the installed borehole array.3) Test, validate, revise and optimise the models (with reference to real thermal, flux and flow data provided by the licenced DGE system operators) in order to provide a single model that best simulates the whole of the energy system at the point of delivery.Cheshire East Council have an ambitious 25-year strategy to develop more DGE systems in the Cheshire Basin and the ability to model, characterise and optimise the design of future installations, based on the work undertaken in this studentship, has clear and significant financial, developmental and socio-economic benefits to all parties involved (i.e., the Council, consumers, developers and licenced operators). This studentship will also provide the selected candidate with a challenging, yet highly-rewarding project within one of Europe's leading near-surface geophysics research groups and, arguably, the most forward-looking local council with respect to renewable energy development. The project links the diverse and multidisciplinary fields of geology, geophysics and numerical modelling with the broader disciple of energy-related environmental engineering and district heat network design. As such, it represents an unrivalled opportunity for a talented student to work in a rapidly developing and increasing important sector of the energy market.

2008年，英国政府承诺在2050年之前将温室气体排放量减少80％。可再生能源解决方案是这一承诺的关键部分，深厚地热能系统在这一策略中起着重要作用。英国西北部的柴郡盆地南部地区是该国仅有的少数经济地点之一。该盆地拥有约460万GWH的潜在能源，是英国国家热量需求的6倍以上。为了利用这一资源，柴郡东议会（案件合作伙伴）与当地大学和公立/私营部门合作伙伴合作，煽动了一项长期深度地热能源（DGE）研究计划。已将超过25万磅的初始研究资金投入到DGE项目中，并与Keele大学的应用和环境地球物理学组构成了这个雄心勃勃的开发计划中的下一个阶段。为了评估，表征和优化East Chesshire地区的供应，以供您进行繁热的驱动器，以评估，表征和优化深度地球室（East Chemes and Briffure）的未来，以提供200万次的未来，以提供200万种范围的范围，以供某些未来200万种竞争者（均为一百万美元）。通过钻孔阵列系统，以低碳，具有成本效益的加热为单一的“多物理学”地热模型，通过钻孔阵列系统以及向潜在客户进行模拟热能从深地热储层（深度接近4公里）的转移。该项目的最终目标是创建一个现实，准确，灵活的模型，该模型可用于预测，优化和概率地表征深度地热能系统在3 - 4年内在线时的能量返回。此外，预计该模型将有助于告知和优化柴郡东议会计划的未来DGE系统的设计。为此，学生将; 1）使用复杂的地质建模，表征和可视化工具在预期的钻孔阵列深度生成3D模型的水文地质条件模型，该模型使用现有的地球物理，结构和沉积物数据，结构和沉积物数据以及来自计划的调查工作以及DGE型号的dge/borehole dge simpuls dge/bote dge cor的新信息。2）在钻孔阵列系统的活跃区域中，以预测DGE系统提取的水的体积，流量和温度。该模型将利用从钻孔和物理/几何设计信息中从已安装的钻孔阵列中获得的水力/岩石物理数据信息。3）测试，验证，修订和优化模型（参考实际的热，磁通数据，涉及由授权的DGE系统提供的实际模型提供的单个模型，以便整个模型提供了整个能量，以使整个能量供应。 25年在柴郡盆地开发更多DGE系统的策略以及根据本学生奖励的工作来建模，表征和优化未来安装的设计，具有明确而重要的财务，发展，发展和社会经济对所有当事方的福利（即理事会，消费者，开发商，开发商和持牌运营商）。该学生还将为选定的候选人提供一个具有挑战性但高度奖励的项目，其中包括欧洲领先的近乎表面地球物理学研究小组，并且可以说是可再生能源开发方面最前瞻性的地方议会。该项目将地质，地球物理学和数值建模的多样化和多学科领域与能源相关的环境工程和地区热网络设计的更广泛的门徒联系起来。因此，它代表了一个有才华的学生在能源市场快速发展和增加重要部门工作的无与伦比的机会。