Abstract Different aspects of management policies for shallow geothermal systems are currently under development. Although this technology has been used for a long time, doubts and concerns have been raised in the last years due to the massive implementation of new systems. To assess possible environmental impacts and manage subsurface energy resources, collecting data from operating shallow geothermal systems is becoming mandatory in Europe. This study presents novel advances in the upscaling of operation datasets obtained from open-loop geothermal energy systems for an optimal integration in hydrogeological models. The proposed procedure allows efficient numerical simulations to be performed at an urban scale. Specifically, this work proposes a novel methodology to optimize the data treatment of highly transient real exploitation regimes by integrating energy transfer in the environment to reduce more than 90% registered raw datasets. The proposed methodology is then applied to and validated on five different real optimization scenarios in which upscaling transformation of the injection temperature series of 15-min sampling frequency has been considered. The error derived from each approach was evaluated and compared for validation purposes. The results obtained from the upscaling procedures have proven the usefulness and transferability of the proposed method for achieving daily time functions to efficiently reproduce the exploitation regimes of these systems with an acceptable error in a sustainable resource management framework.

中文翻译：

---

将开环地热能系统优化实施到水文地质模型中的升级程序

摘要 浅层地热系统管理政策的不同方面目前正在制定中。虽然这项技术已经使用了很长时间，但由于新系统的大规模实施，在过去几年中引起了质疑和担忧。为了评估可能的环境影响和管理地下能源资源，从运行中的浅层地热系统收集数据在欧洲已成为强制性要求。这项研究展示了从开环地热能系统获得的操作数据集的升级方面的新进展，以优化水文地质模型的集成。所提出的程序允许在城市范围内进行有效的数值模拟。具体来说，这项工作提出了一种新颖的方法，通过整合环境中的能量传输来优化高度瞬态实际开发制度的数据处理，以减少超过 90% 的注册原始数据集。然后将所提出的方法应用于五种不同的实际优化方案并对其进行验证，其中考虑了 15 分钟采样频率的注射温度系列的升级变换。出于验证目的，评估和比较了源自每种方法的误差。从升级程序获得的结果证明了所提出的方法的有用性和可转移性，用于实现每日时间函数，以在可持续资源管理框架中以可接受的误差有效地重现这些系统的开发制度。