Seasonal thermal energy storage in smart energy systems: District-level applications and modelling approaches

Repurposing a deep geothermal exploration well for borehole thermal energy storage: Implications from statistical modelling and sensitivity analysis

“…Future work should aim to investigate parameter impact under long term simulations for a lifetime of a BTES system, including a period of pre-charge, as this could lead to an increase in storage efficiency. It should also consider coupling to the surface demand (e.g., [38,39]).…”

“…The Newcastle Science Central Deep Geothermal Borehole (NSCDGB) was selected as a case study in this paper due to: 1) high heat flows which are observed in the area and are associated to geothermal resources of the North Pennine Batholith, leading to high bottom-hole temperatures [64,33,18], 2) the well has already been drilled and therefore, would require limited cost to convert to a coaxial DBHE, which could unlock a technology that has previously had economic limitations [57] and 3) it is proximal to multiple buildings, such as the Urban Science Building (e.g., [65]), which have a demand for heat. Furthermore, there is also potential to feed the thermal energy into a heat network or smart energy system (e.g., [39]), such that the DBHE can act as a balancing component. This work was undertaken as part of the EPSRC project "NetZero GeoRDIE -Net Zero Geothermal Research for District Infrastructure Engineering (Grant No EP/T022825/1)" [29].…”

Determination of components for heat storage material

“…To meet the ever-increasing demand, advanced economies are using more energy efficient 4GDH and 5GDH generation heating systems. Their main features are the environmental friendliness and economic expediency of the use of resources, the minimization of heat losses during heat supply, ensuring the stability of the energy and heat systems [1,2]. The main advantages of 4GDH and 5GDH systems are:…”

Dimensionless Thermal Efficiency Analysis for Aquifer Thermal Energy Storage

“…Furthermore, simple dimensionless analytical solutions are easy to understand and fast to evaluate while being sufficiently accurate, which makes them useful for governance and policymaking (Marazuela et al., 2022; Pophillat, Attard, et al., 2020; Regnier et al., 2023; Serianz et al., 2022). Such analytical solutions may also be used to replace or complement computationally intensive numerical simulations, or to rapidly identify meaningful regions of parameter space for more detailed numerical investigation, especially in urban settings where multiple ATES systems are located within a small area, which is a scenario that might otherwise require highly complex numerical models (Attard et al., 2020; Burns et al., 2020; Lyden et al., 2022; Previati et al., 2022; Walch et al., 2021). Simple analytical solutions are also useful for interpreting (thermal) tracer tests to characterize aquifer properties (Del Val et al., 2021; Park & Lee, 2021; Schroth & Istok, 2005; Tang & van der Zee, 2021a), as the alternatives of solving inverse problems with numerical models or exact analytical solutions with integral transforms, are highly computationally intensive (Jung & Pruess, 2012; Regnier et al., 2022).…”