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Comparison and integration of simulation models for horizontal connection pipes in geothermal bore fields
Geothermal Energy volumeÂ 11, ArticleÂ number:Â 15 (2023)
Abstract
The heat transfer along horizontal connection pipes in geothermal bore fields can have significant effects and should not be neglected. As practical and designrelated applications require simple and efficient models, we investigate suitability of different models for the first time within this context. Three ground and three pipe models of different complexity are studied. All model combinations are coupled with a fixed ground load boundary condition on one side and a borehole heat exchanger (BHE) model on the other side. Models are tested under a variety of realistic conditions to evaluate performance. The investigations show that all investigated pipe models are equally suitable for the application. For the ground models, the horizontal finite line source model and the numerical 2D model produce identical results for homogeneous ground properties. The soil resistance model neglects the temperature accumulation in the ground and thus leads to considerable deviations and should be avoided. Based on the findings, we propose a computationally efficient approach using a novel combination of established simple steadystate models for the BHE and connection pipes. In the selected example scenario, the consideration of a 30 m connection pipe attached to the BHE leads to an increase in the BHE load by 40% for the heating case and a reduction in the BHE load by 5% for the cooling case.
Introduction
The exploitation of geothermal energy is becoming increasingly important in the context of global warming and the reduction of greenhouse gas emissions. Vertical borehole heat exchangers (BHE) or horizontal geothermal collectors using a ground source heat pump (GSHP) are the main installations to heat and cool buildings. In densely populated areas, BHEs are often preferred as they require much smaller footprint than horizontal systems. For the supply of commercial buildings, apartment blocks, or entire districts, systems with several dozen or even hundreds of BHEs are increasingly being installed. For example, in Sweden alone the number of registered installations with 10,000m or more total borehole length has almost quadrupled from 21 in 2015, to 76 systems in 2019, while the number of installations with 10 boreholes or more has increased by almost 40% during the same period Lund and Toth (2021). To reduce thermal interference between the boreholes, a minimum spacing should be maintained between the BHEs in a bore field Kavanaugh and Rafferty (2014); Energietechnik (2019). This can result in distances of several dozen meters between the BHEs and the heat pump, manifolds or header pipes. The hydraulic effects of these connection pipe networks have been investigated recently in various studies; however, without in depth consideration of their thermal interference with the surrounding ground Chen etÂ al. (2020); Zhang etÂ al. (2021); Chen etÂ al. (2021). Luo et al. Luo etÂ al. (2013) use a threedimensional numerical model to investigate the heat loss along a single buried pipe at different depths, reporting doubledigit kW h daily heat losses depending on burial depth for an 18m connection pipe. Tian et al. Tian etÂ al. (2022) investigate the impact of burial depth, surface temperature, backfill material and flow rate on the heat loss of horizontal connection pipes connected to BHE in a sandbox experiment. In this work, the inlet temperature is fixed, leading to heat gains along the connection pipes for all investigated scenarios. For practical applications in the design and optimisation of geothermal bore fields, however, simpler and more efficient approaches are desirable. While numerical 3D models can accurately represent all types of heat transport and boundary conditions, some difficulties arise in the context borehole heat exchangers and horizontal connection pipes. Namely, the scaledistributed time ranges (hourly thermal loads and design periods of multiple decades) and geometries (pipe diameters of a few centimetres and BHE lengths of several 100Â meters) lead to high modelling and computational efforts Li etÂ al. (2014).
Heat transfer in the nearsurface ground from a combination of linear or cylindrical heat sources and sinks has been investigated in various contexts over the last century. These include buried power cables, oil or steam pipelines, pipelines for district heating networks and, increasingly in recent decades, horizontal geothermal collectors. Considering the pipe diameters and fluid temperatures, the latter are most closely related to the connection pipes investigated in this work.
Several authors have derived analytical equations for the problem of heat conduction in a semiinfinite space. While Ioffe Ioffe (1972) provides a solution for transient heat conduction due to a cylinder with a fixed temperature, Thiyagarajan and Yovanovich Thiyagarajan and Yovanovich (1974) and Martin and Sadhal Martin and Sadhal (1978) provide solutions for a heat flux boundary condition at the cylinder for transient and steady state. To account for groundwater flow around the cylinder, the analytical steadystate solution of Himasekhar and Bau Himasekhar and Bau (1987) can be applied. While the boundary condition at the ground surface is a fixed temperature for the above solutions, Chung et al. Chung etÂ al. (1999) present a semianalytical model for a buried pipe with a constant wall temperature and a convection boundary condition at the ground surface. Including the domain inside the pipe, Hastaoglu et al. Hastaoglu etÂ al. (1995) propose a 3D numerical model to solve the heat transfer from a buried pipe with laminar flow and solidification of the fluid. While the works mentioned so far are formulated for single pipes, Shafagh et al. Shafagh etÂ al. (2022) consider multiple pipes in their investigation using a 2D numerical model for the domain outside the pipes.
An early, and wellknown, reference on horizontal geothermal collectors is the work of Claesson and Dunand (1983). Comprehensive reviews on more recent work can be found in Hou etÂ al. (2022); Cui etÂ al. (2019). Similar to simulation models for borehole heat exchangers, the spatial domain for horizontal collector models is often divided into two areas: the heat exchanger (the pipe), and the media (surrounding ground). By doing so, specifically suited calculation models for both areas can be used to reduce the computational cost. If the ground is homogeneous and heat is only transferred through conduction, analytical solutions such as the infinite or finite line source (FLS) Claesson and Dunand (1983); Fontaine etÂ al. (2011); Lamarche (2019); Urresta etÂ al. (2021) or ring source Li etÂ al. (2012); Xiong etÂ al. (2015) can be used. Spatial and temporal superposition is applied in these models to account for multiple pipes and timedependent thermal loads Carslaw and Jaeger (1959). As the horizontal pipes are buried at shallow depths, there are situations, where transfer mechanisms other than conduction might need to be considered. Piechowski Piechowski (1999), for example, uses a 2D numerical ground model to account for moisture transport in the vicinity of the pipe. Another influencing factor can be the boundary condition at the surface above the pipes. Several authors consider evaporation, radiation and convection in their numerical 2D models Bortoloni etÂ al. (2017); Kayaci and Demir (2018); Gan (2019); Larwa and Kupiec (2020). The models neglect temperature changes in the ground along the pipe axis, as it is negligible in most cases Claesson and Dunand (1983). Nevertheless, there are also some works in which the ground is modelled as threedimensional, for example, to investigate different pipe arrangements Wu etÂ al. (2010); Dasare and Saha (2015); Selamat etÂ al. (2016), and accounting for varying surface heat fluxes Gu etÂ al. (2022); MuÃ±ozCriollo etÂ al. (2016).
Similar to the modelling of the ground, models of varying complexity are used for the pipes and fluid flow. In the simplest case, a linear temperature profile between inlet and outlet is assumed for a steady state condition (e.g., Kavanaugh and Rafferty (2014)). A more complex analytical solution considers the nonlinear temperature profile along the pipe Van Genuchten (1982). Assuming a homogeneous temperature field in the fluid cross section, transient fluid flow can be modelled with onedimensional numerical models. The coupling of the fluid models and the surrounding ground is then done through a series of thermal resistances accounting for the convective resistance from the fluid to the pipe and the conductive resistance of the pipe.
Since multiple models exist, it is hard to assess what modelling approaches to use that is suitable for a range of realistic conditions. The published literature suggests that the horizontal connection pipes can have a significant influence on the BHE operation. The level of impact may be a function of climate, depth and thermal loads, for which reliable models are needed. Depending on the conditions, the horizontal connection pipes can have a beneficial effect due to heat gains and may lead to reduced required BHE length and, therefore, cost. If the heat losses predominate, neglecting the horizontal pipes in the design may result in reduced efficiency of the entire system. While 3D numerical modelling or physical experiments are wellsuited in an academic context, simpler models are usually preferred for practical applications. Hence, the aim of this work is to identify simulation models suited to investigate heat transfer along horizontal connection pipes and to develop a computationally efficient and simple methodology that is appropriate to capture these effects. Three ground and three pipe models are studied. All model combinations are coupled with a GSHP model. FigureÂ 1 schematically shows the typical arrangement for GSHP systems and the associated models and nomenclature used in the article. The models used for the ground and pipes are described in "Models" section and are available through a GitHub repository. In "Scenarios" Section , the investigated scenarios are presented, followed by the results and discussion in "Results" and "Conclusions" Sections.
Models
Pipe models
The onedimensional heat transfer along a buried pipe is described by Eq.Â 1. The heat capacity of the pipe wall is neglected, and heat is exchanged with the surrounding ground:
\(T_\text{f}\) and \(T_\text{s}\) are the temperatures of the fluid and the soil, \(u_\text{f}\) is the velocity of the fluid and \(\alpha _\text{f}\) its thermal diffusivity. The specific heat transfer coefficient \(\phi\) is calculated based on the thermal resistance between fluid and soil \(R_\text{fs}\), the volumetric heat capacity of the fluid \(\rho c_\text{f}\) and the inner crosssectional area of the pipe \(A_\text{i}\):
\(R_\text{fs}\) is the sum of the convective resistance between fluid and inner pipe wall, \(R_\text{conv}\), and the conductive resistance of the pipe wall, \(R_\text{p}\) (see Fig.Â 2). The latter is calculated as
where \(r_\text{p,i}\) is the inner radius of the pipe and \(r_\text{p,o}\) its outer radius while \(\lambda _\text{p}\) denotes its thermal conductivity Carslaw and Jaeger (1959).
The convective resistance \(R_\text{conv}\) is calculated with the dimensionless flow coefficients Reynolds, Nusselt and Prandtl Gnielinski (2013):
The formula for Nusselt number depends on the flow state. For laminar flow, the Nusselt number is defined as Gnielinski (2013):
For turbulent flows, the following applies:
with:
while for flow in the transient region Eqs.Â 10 and 11 apply.
with:
Here \(d_\text{p,i}\) is the inner diameter of the pipe, \(l_\text{p}\) the pipe length, \(\eta _\text{f}\) the dynamic viscosity of the fluid, \(\rho _\text{f}\) its density and \(c_\text{f}\) its specific heat capacity.
The lateral heat transfer between fluid and soil is calculated with the described resistance \(R_\text{fs}\) in all investigated pipe models, while three approaches with differing degrees of simplification are used for the heat transfer along the pipe axis (Table 1).
1D numerical model
The transient fluid flow with timedependent fluid inlet and soil temperatures as boundary conditions can be captured with a numerical model. Here, we choose the FiniteVolumeMethod (FVM) for the discretization of Eq.Â 1. Utilizing the upwind scheme, the fluid temperature at time step \(i\!+\!1\) and cell x is calculated as:
Due to the explicit Euler scheme, the cell size \(\Delta x\) and the time step \(\Delta t\) must be chosen in a way that the CFL criterion is met: \(\frac{u_\text{f} \Delta t}{\Delta x} \le 1\).
Steadystate analytical model
For constant inlet fluid and soil temperatures, the analytical solution for Eq.Â 1 is given by Van Genuchten (1982):
with
where \(\alpha _\text{f}=\frac{\lambda _\text{f}}{\rho c_\text{f}}\) is the thermal diffusivity of the fluid. In our study, the pipe models are coupled with various ground models as well as a BHE model and a highly simplified, yet sufficient, GSHP model imposing a ground load boundary condition. As a result, the inlet \(T_\text{f,in}\) and ground temperatures \(T_\text{s}\) change in each calculation step, so that Eq.Â 13 cannot be used as it is only valid for constant inlet fluid temperatures. To simplify matters, we assume that the pipe is completely flowed through in each calculation step and that a steadystate is reached. The steadystate solution for Eq.Â 13 reads as
and this simpler solution is implemented in the model in this work.
Steadystate linear model
Assuming stationary conditions and a linear temperature profile along the pipe, Eq.Â 15 can be further simplified to find the outlet temperature \(T_\text{f,out}\) of the horizontal connection pipe of length \(l_\text{p}\):
To verify the correct implementation of the described pipe models, a comparative simulation was carried out with the finiteelement software COMSOL MultiphysicsÂ®. A single 50m long pipe with an outer diameter of 40 mm, a wall thickness of 3.7 mm and a thermal conductivity of 0.37\(\text {W}\,\text {m}^{}\,\text {K}^{}\) was used. The fluid had a flow rate of 35\({\text {m}^3 \text {d}^{1}}\) and a temperature entering the pipe of 30\(^{\circ }\text {C}\), while the temperature at the outer wall of the pipe is set to 15\(^{\circ }\text {C}\). The fluid has also a thermal conductivity of 0.598\(\text {W}\,\text {m}^{}\,\text {K}^{}\), a density of 998.23\({\text {kg} \text {m}^{3}}\), specific heat capacity of 4184\({\hbox {J kg}^{1}\hbox {K}^{1}}\) and a dynamic viscosity of 1.10016mP as. The results are shown in Fig.Â 3 for \(t={53.8}\text {s}\), where the fluid has travelled 27m into the pipe (left) and \(t={103.8}\text {s}\) (right), which is a sufficiently long time for steady state conditions. The numerical models (COMSOL, 1D num.) suffer from numerical diffusion, leading to a smeared temperature front compared to the analytical solution (Fig.Â 3). For this example, the energy absorbed by the fluid during the first \(t={103.8}\text {s}\) is 399kJ for the transient models and 744kJ for the steady state linear model. Once pipe is flown through, the difference in heat exchange rate between the steady state linear model and all other models is only 75W.
Ground models
As the aim of this work is to investigate and develop simple models that are suitable for determining the heat losses along the connection pipes of BHEs, we limit the heat transfer processes in the ground to conduction, leading to Eq.Â 17 for the threedimensional subsurface domain.
Here \(\lambda\) is the ground thermal conductivity (assumed to be the same in all directions), \(\rho c\) the volumetric heat capacity and \(q_\text{v}\) the source term. As with the pipe models, we use three different models of varying complexity, as listed in Table 2.
2D numerical model
If heat transfer along the pipe axis is neglected, the first summand in Eq.Â 17 can be dropped and the ground described by a twodimensional temperature field. We discretise the reduced version of Eq.Â 17 with the finite volume method. The central difference scheme is used to interpolate the temperatures on the cell walls. For adjacent cells with different thermal conductivities, the harmonic mean is applied to determine the mean thermal conductivity at the cell walls, i.e. a solution for heat transfer in media in series. We use the explicit Euler scheme for the numerical integration due to its simplicity and computational efficiency, leading to
with
and
where \(\Delta y = \Delta z = \Delta yz\) is the regular cell size, \(\lambda\) the thermal conductivity and \(\rho c\) the volumetric heat capacity.
Finite line source model
Lamarche Lamarche (2019) has presented the general solution for the horizontal finite line source in a half space to calculate segmenttosegment temperature responses. Similar to the work in Claesson and Javed (2011); Lamarche (2011), the method of images is used to account for the ground surface boundary condition (Fig.Â 4). The temperature change in the ground \(\Delta T_\text{s}\) at the outer wall of a single segment pipe (the horizontal line source) can be calculated as
with
where q is the length related heat load, \(\lambda\) the thermal conductivity of the soil and H is the length of the line source. r denotes the distance between the line source and the surface of interest (i.e., outer pipe wall) and \(r_\text{i}\) the distance between the imagery line source and the surface of interest (Fig.Â 4).
Superimposing the temperature change with the undisturbed ground temperature \(T_0\) finally provides the ground temperature at the outer pipe wall \(T_\text{s}\):
By applying the superposition principle Carslaw and Jaeger (1959), timevariable thermal loads q(t) can be considered as the source term (last summand in Eq.Â 17). Thus, the load profile with stepwise constant loads is transferred into load increments:
and a summation over time applied, leading to
Soil resistance model
The work of Kavanaugh and Rafferty Kavanaugh and Rafferty (2014) provides a calculation template to estimate heat gain and loss in horizontal buried pipe headers. This model is identical to the FLS, but uses a different formulation for the line source. Furthermore, it does not consider temporal or spatial superposition. To include a similar model in the comparison here, we will implement Eq.Â 2123, neglecting interference of multiple pipes and temperature accumulation in the ground.
To verify the implementation of the 2D numerical model and the FLS model, a comparative simulation was carried out against a full 3D finiteelement model implemented in the package COMSOL MultiphysicsÂ®. For this purpose, a cylindrical heat source of \({10}\hbox {W}\,\text {m}^{1}\) and a cylindrical heat sink of \({5}\hbox {W}\,m^{1}\) with diameters of 40mm were placed at \(\)0.85m from the upper boundary in a \(3\times 3\) m 2D model with thermally insulated boundaries. Fig.Â 5 shows a horizontal (y) and vertical (z) temperature profile after a simulation time of 48h. The models show good agreement. Only the horizontal section shows deviations for the area within the heat sources. However, these areas are not relevant for the coupled simulations, as the interface to the pipe model is the ground temperature at the outer radius of the pipe.
Coupling of pipe and ground models
The coupling parameters between the pipe models and the ground models are the soil temperature at the pipe wall \(T_\text{s}\) and the heat flow between soil and pipe. Based on the soil temperature and the fluid inlet temperature \(T_\text{f,in}\), the pipe models calculate new fluid outlet temperatures \(T_\text{f,out}\) and the fluid temperatures along the horizontal pipe. The difference between the mean fluid temperature within the pipe \({\overline{T}}_\text{f}\) and the temperature at the soilpipe wall interface \(T_\text{s}\) and the thermal resistance between fluid and soil \(R_\text{fs}\) determine the ground load:
The ground load serves as input for the ground models to calculate the soil temperature at the pipe wall. As the soil temperature at the pipe wall depends on the fluid temperature which also depends on the pipe wall temperature, this problem requires an iterative scheme as shown in Fig.Â 6. As a first guess for the soil temperature, we use the value from the previous timestep \(i\!\!1\). After calculating a new ground temperature, this process is repeated, until an error tolerance criterion is fulfilled. The deviation of the outlet fluid temperature between two iterations is used as error criterion:
The combination of coupled pipe and ground model will henceforth be referred to as the connection pipe model. For the investigations carried out, the various connection pipe models are coupled with a BHE model on the one side and a fixed thermal load boundary condition representing the heat pump on the other side as shown in Fig.Â 1.
BHE model and thermal load boundary condition
For the BHE model, we use the work of DÃ¼ber et al. DÃ¼ber etÂ al. (2022), since it is computationally efficient and can be easily coupled with the connection pipe models through its implementation in Python. The model follows the idea of Wetter and Huber Wetter and Huber (1997) of combining a seminumerical borehole model with a gfunction ground model. The interaction of the BHEs and the consideration of timevariable loads are taken into account by spatial and temporal superposition. The borehole models utilize the thermal resistance capacity models from Bauer et al. Bauer etÂ al. (2011) for the horizontal heat transfer and the finite volume method for the heat transfer in vertical direction. To overcome high computational times for simulations with many time steps, the model also uses the Fast Fourier Transformation and the convolution theorem for better efficiency Marcotte and Pasquier (2008).
One input parameter for the simulations will be the ground load presented in the next section. To impose the load as a boundary condition on the model, we use Eq.Â 28, acting as a highly simplified heat pump model. The outlet temperature of the heat pump \(T_\text{f,HP,out}\) at time step i as is calculated as follows:
where \({\dot{V}}\) is the volumetric flow rate of the fluid and \(\rho c_\text{f}\) its volumetric heat capacity. \(T_\text{f,HP,in}(t_{i1})\) is the fluid inlet temperature of the heat pump (Fig.Â 1) and equal to the mean outlet temperature of all return horizontal connection pipes (i.e., the mean of all \(T_\text{f,out}\)). \(q(t_i)\) is the ground load of the current time step.
For the simulations with six BHEs considered operating in parallel (see section 3), we make some assumptions that allow us to isolate and analyse the effect of the thermal interference of multiple horizontal connection pipes in a shared trench. While we recognize that turns and merging of connection pipes may also exist in real projects and thus differ from this arrangement, all pipes are assumed parallel along their entire length and arranged as shown in Fig.Â 7. Considering parallel operation, all supply connection pipes are assumed to be connected to the same heat pump, thus receiving the same inlet temperature \(T_\text{f,HP,out}\), while \(T_\text{f,HP,in}\) is the the mean of all \(T_\text{f,out}\) (Fig.Â 1). On the other side, each pair of connection pipes is connected to an individual BHE, however the BHE models are set up to have no thermal interference between them.
Scenarios
The model comparison is carried out using scenarios with horizontal connecting pipes of 30 and 60m length and a single pair of pipes (1 BHE) or six pairs of pipes (6 BHEs) installed in a shared trench as shown in Fig.Â 7.
The properties of the horizontal pipes and the trench are listed in Table 3. The BHE data listed in Table 4 and the load profile shown in Fig.Â 8 (top) are from a study from Ahmadfard and Bernier Ahmadfard and Bernier (2019). The load profile corresponds to a building located in Atlanta and is scaled down for a single BHE with factor of 1/25 and 6/25 for the simulation with 1 and 6 BHEs, respectively.
Daily values for the air temperature in Atlanta serve as temperature boundary condition at the ground surface (Fig.Â 8, bottom). Temperatures at 3 m depth and the depths of the pipes have been calculated using a onedimensional ground model with the thermal properties of the natural ground and the air temperature as surface temperature. The yearly cycle was repeated until a cyclic steady state was reached. For the numerical ground model, the temperatures at \(z={\pm 0}\hbox {m}\) and \(z={3}\hbox {m}\) are used as boundary conditions at the top and the bottom of the model while the sides are considered thermally insulated.
In the FLS model, the temperature change due to heat exchange with the pipes is superimposed on the undisturbed temperature calculated at the depth of the pipes (e.g., \(\)0.85 m), whereas in the soil resistance model, this temperature is used as a first order boundary condition.
The inhomogeneous properties of the ground as shown in Fig.Â 7 can be only considered in the 2D numerical ground model. All other models assume homogeneous conditions. For this reason, we apply the material properties listed in Table 2 to the numerical model to simulate the inhomogeneous case and the properties of the natural ground for the whole model to simulate the homogeneous case.
The numerical ground models were discretised with a cell size of \(1 \times {1}\text {cm}\) and a time step of 25s. The numerical pipe model is discretised with 11 cells for the 30 m pipe length and 22 cells for the 60 m pipe length using a 5 s time step, resulting in a CFLnumber of 0.89. In the analytical steady state model, the fluid temperatures are calculated at the same points as in the numerical model, while in the linear steady state model, the fluid temperature is calculated just at the outlet of the connection pipe (Fig.Â 1).
Results
Fluid temperatures and BHE loads
We use the scenario with one pair of connection pipes and the 2D numerical ground model with homogeneous properties for the comparison of the pipe models. FigureÂ 9 shows the calculated fluid temperatures at the heat pump for a randomly selected section of approximately 15 h during cooling operation. For both the 30 m connection pipe (Fig.Â 9, top) and the 60 m connection pipe (Fig.Â 9, bottom), the calculated fluid temperatures are similar for all pipe models. The left part of Fig.Â 9, however, shows the first 30 min after the ground source heat pump starts to operate. Here, differences between the transient numerical pipe model and the two steady state models become apparent. In the numerical model, the actual travel time of the fluid through the connection pipes is considered correctly. Therefore, it takes longer for the outlet temperature to change, as the fluid in the pipe, which has the same temperature as the surrounding soil, is first pushed to the outlet. This delay is exactly twice as long for 60 m pipe length as for the 30 m pipe length (Fig.Â 9, left).
To quantify the influence of the pipe models on the longterm operation of the BHE and the heat pump, average fluid temperatures \({\overline{T}}_\text{f,HP}\) at the heat pump and the energy exchanged between BHE and ground \(Q_\text{BHE}\) are investigated for a period of 5 years (Fig.Â 10). The evaluation is carried out separately for heating and cooling operation. \({\overline{T}}_\text{f,HP}\) is the annual average of the mean of the fluid temperatures entering and exiting the heat pump.
The longterm observation also reveals no relevant differences between the models in terms of temperature. For the scenarios with 60 m pipes, the average fluid temperatures for both heating and cooling are 0.2â€“0.3K lower than for the 30 m pipes which are around 0.4K lower than for the reference case with no horizontal connection pipes. These seeimingly small variations in temperature may have significant thermal energy variations implications, particularly during the 25+ years lifespan of HVAC systems.
During the cooling operation, the energy injected into the ground per year through the BHE decreases from 7.7 MW h (reference case without pipes) to 7.3 MW h for the case with 30 m connection pipes and to 7.1 MW h for the case with 60 m pipes in the fifth year of operation. For heating operation, the energy extracted through the BHE increases from 0.7 MW h to just under 1 MW h for 30 m connection pipe length and to 1.2 MW h for 60 m connection pipe length. The absolute energy losses along the connection pipes are comparable for heating and cooling operation. However, comparted to the reference case, the relative increase for the heating operation is significantly higher. The evaluation of the annual average values shows that the shortterm differences between the transient numerical model and the stationary models have no influence on parameters relevant for plant design. For this application, all investigated pipe models are therefore equally well suited.
A first comparison of the ground models is carried out using the scenarios with the 1D numerical pipe model and 30 m connection pipe length. FigureÂ 11 shows a section of the calculated fluid temperatures. With the exception of the soil resistance model (\(R_\text{s}\)), the deviations between all models are relatively small. As expected, the FLS model and the numerical 2D model with homogeneous properties (2D) produce almost identical results. The difference to the numerical 2D model with inhomogeneous properties (2Di) increases with continued operation and larger loads, but remains below 0.2K within the shown period. The fluid temperatures calculated with the soil resistance model are almost 2K below all other models. During the first 2500 h of operation, both inlet and outlet temperatures are in any model higher than the undisturbed ground temperature around the connection pipes. This leads to a heat accumulation in the ground, resulting in higher fluid temperatures for the models accounting for heat accumulation.
FigureÂ 12 shows the longterm evaluation of the ground models similar to Fig.Â 10. Regardless of the pipe length no visible differences between the 2D numerical model with homogeneous properties and the FLS model for both the fluid temperatures and the exchanged energy can be observed. During cooling operation, the difference in mean fluid temperature between the inhomogeneous and homogeneous 2D models in the fifth year is about 0.05K for both pipe lengths, while for the heating operation, it is 0.2K. The difference between 30Â m and 60Â m pipe is not more than 0.3K for any ground model. The most significant deviation from all other models as well as from the reference case is produced by the soil resistance model. For example, for the 30 m pipe model, the mean fluid temperature during the cooling operation is 1K lower as in the reference case without any pipes, while it is 1.5K lower for the heating operation.
The difference between the homogeneous and inhomogeneous model in cooling operation is less than 0.05 MW h per year for both pipe lengths tested. \(Q_\text{BHE}\) calculated with the \(R_\text{s}\) model is approx. 0.5 MW h below the other models for cooling and 0.7 MW h above them for heating.
In addition to the fluid temperatures and the energy exchanged through the BHE, we can also compare the ground temperatures calculated with the different models. The comparison is made at the following events: the maximum heating and cooling load as well as the end of the heating and cooling period. FigureÂ 13 shows the temperature profile along a horizontal section at the depth of the connection pipes, while Fig.Â 14 shows a vertical section between the supply and return pipe. Since in the soil resistance model (\(R_\text{s}\)), the ground temperature is not influenced by the pipes, it corresponds to the undisturbed ground temperature. The temperatures calculated with the FLS model and the homogeneous 2D model are largely congruent. One exception are the temperature profiles in the horizontal section at the end of the heating period (Fig.Â 13, second from top). Here, the temperatures diverge with increasing distance from the pipes. This indicates that the dimensions of the numerical model were chosen too small, as the temperature increase at the boundary of the model is higher than in the FLS model. For the analysis of the fluid temperatures and the BHE operation, however, this has no influence, as previously shown. The biggest change in the undisturbed ground temperature occurs within the selected times at the time of the maximum cooling load with more than 3K (Fig.Â 13, third from top).
The investigations on a single BHE with connection pipes of 30 and 60 m length have shown that there are no significant differences with regard to the average fluid temperatures and BHE loads for the different ground models, with the exception of the soil resistance model. For homogeneous soil conditions, the FLS model and the 2D numerical model deliver identical results; for the numerical model, the geometry must be sufficiently large to ensure accurate results. For the scenario with the inhomogeneous soil conditions, the calculated temperatures deviate as expected, but the influence on the average fluid temperatures and BHE loads is negligible for the parameters investigated and a designoriented view. The results of all model combinations for one pair of connection pipes are given in the Appendix.
For the scenarios with 6 BHEs, leading to 12 horizontal connection pipes in the same trench, nothing new is expected with regard to differences between the pipe models; therefore, they are not discussed in more detail. FigureÂ 15 shows the evaluation for the fluid temperatures at the heat pump analogous to Fig.Â 11. The heat pump inlet temperature is the average from all 6 BHE return connection pipes, the same applies for the BHE loads. Compared to the simulations with only one BHE, the difference between the homogeneous ground model and the inhomogeneous ground model is significantly lower with 6 BHEs. This is probably due to the fact that the distance of many pipes to the natural ground is smaller than in the simulation with only one BHE (Fig.Â 7). Furthermore, the fluid temperatures in all models except the soil resistance model are slightly higher (0.3K) as in the case with one pair of pipes. The comparison with the reference case (no connection pipes) in Fig.Â 16 reveals that multiple pipes reduce the effect of the connection pipes. Comparing Figs.Â 16 and 12 shows that for 6 pairs of pipes the values are much closer to the reference case for all models except the soil resistance model. By placing the pipes close together, each pipe has less thermally undisturbed soil volume around it, leading to a reduced heat exchange with the surrounding soil. This is also visible in the horizontal section through the middle row of pipes in Fig.Â 17: the inner return pipes are shielded by the outer supply pipes and are influenced by them more than by the undisturbed ground temperature.Â Figure 18 shows the temperature profiles for a vertical section between the pipes.Â The results of all model combinations for six pairs of connection pipes are presented in the Appendix.
The comparison of the ground models has shown that both FLS and the 2D numerical model are well suited for the application investigated in this work. Both models deliver identical results for homogeneous soil conditions for both pipe lengths investigated. Inhomogeneous soil conditions cannot be covered with the FLS model; the extent of their influence on the results depends on the actual conditions. In the example shown here, temperature accumulations occurred in the ground due to heat exchange with the connection pipes. The accumulations are not considered in the soil resistance model, leading to significant deviations that do not reflect reality. The arrangement of several connection pipes in a shared trench has shown that the heat exchange per pipe decreases significantly, leading to a reduced effect of the connection pipes on the heat pump and BHE operation altogether.
Computational effort
The comparison of the computational effort of the different models is carried out with the help of measured computational times where the processing unit is an Intel i7â€“7700K processor at 4200 MHz, 16 GB of RAM and Windows version 10. It is difficult to perform a fair and general comparison, as among the investigated models are both analytical, and thus discretization independent, and numerical models whose computational effort depends on the spatial discretization. Another influencing factor is the implementation. All models were implemented in Python to the best of our knowledge, but the authors are not professional programmers. The results shown are, therefore, only rough indications. Table 5 shows the computational times for the three pipe models in combination with the soil resistance model for a simulation time of 1 year at a time step of 25 s for a 60 m pipe. The computational times increase according to the complexity of the models.
The results for the different ground models are listed in Table 6. Again, the computational times increase with the complexity of the models. Due to the temporal and spatial superposition in the FLS model, the computational effort increases exponentially with the increasing number of time steps as well as increasing number of pipes. Comparing the times of the 1 BHE and 6 BHE simulations shows a factor of 7.5 for the soil resistance model, 24.5 for the FLS model and 3 for 2D numerical model. If more pipes are added or the number of time steps is increased, the 2D numerical model might perform better than the FLS model in terms of efficiency.
Proposed model
The study has shown that the steady state pipe model and the FLS ground model are sufficient for many cases. The BHE can be modeled with a similar approach Eskilson (1987):
Here, \(T_\text{b}\) denotes the borehole wall temperature, \(T_\text{0,b}\) the undisturbed ground temperature of the borehole and \(q_\text{b}\) the stepwise constant borehole load divided by its length \(l_\text{b}\). \(\Delta q_\text{b}(t_i) = q_\text{b}(t_i)q_\text{b}(t_{i1})\) defines the load increment of each time step. \(g_\text{b}\) is the borehole gfunction, \({\overline{T}}_\text{f}\) the average of the borehole inlet and outlet fluid temperatures, \({\dot{V}}\) is the volume flow and \(\rho c_\text{f}\) the volumetric heat capacity of the fluid. The borehole resistance \(R_\text{b}\) is the effective thermal resistance of the BHE Javed and Spitler (2016).
Rewriting the equations for the steadystate pipe model combined with the FLS ground model leads for the case of one pair of connection pipes to:
and:
Here, index 1 corresponds to the supply pipe while 2 corresponds to the return pipe. \(q_\text{p}\) are the loads of the pipes divided by the pipe length \(l_\text{p}\) while \(\Delta q_\text{p}(t_i) = q_\text{p}(t_i)q_\text{p}(t_{i1})\) defines the load increment for each time step. \(T_\text{s}\) is the soil temperature at the outside of the the pipes. The first index at the pipes gfunction \(g_\text{p}\) corresponds to the heat source and the second to the surface of interest (Fig.Â 4).
The total load of the system of borehole and connection pipes \(Q_\text{tot}\) is defined as:
Combining Eqs.Â 29â€“37 into one matrix equation leads to:
with:
and:
EquationÂ 38 needs to be solved for B at each timestep \(t_i\) with a step size \(\Delta t\). The temperatures in C are marked with a tilde as these are the initial undisturbed ground temperatures plus the temperature changes due to the previous time steps. These temperatures need to be updated according to the load increments of the current time step i for all future time steps \(k>i\):
For the simulation of additional BHEs and connecting pipes, the system of equations can be arbitrarily expanded. In contrast to many of the previous investigated model combinations, the proposed model requires no spatial discretization or internal iterations for the coupling, making it easy to implement and more efficient to run. The part for the horizontal pipes in the proposed model corresponds to the FLS + steady state linear combination. The computational time for the proposed model for the 1 year simulation is with just 205 s for one BHE almost halved (Table 6). Considering that the computational times listed in Table 6 do not include the computational time for the BHE model, which is in already included in the mentioned 205s, the savings with the new formulation are even higher. For the simulation with 6 BHEs, the new model needs just 10,023 s (again, including the BHEs) which is only little more than just the horizontal pipes model for this case (Table 6).
FigureÂ 19 shows a comparison of the fluid temperatures calculated with the coupled hybrid approach used in the previous sections and the steadystate model (Eq.Â 38) for a 30m connection pipe. The differences are caused by the heat capacity of the borehole, which is not taken into account in the steady state model. For loads that are constant over a longer period of time, both models will converge as the steadystate assumption within the borehole underlying the borehole resistance approach becomes true. FigureÂ 20 shows the analysis of average fluid temperatures and BHE load for the same scenario. The model is considered well suited for all scenarios where the influence of the borehole heat capacity is negligible.
Conclusions
In this study, three pipe models and three ground models were combined with each other to create connection pipe models for the investigation of heat losses in connection pipe networks in BHE installations. These were coupled with a BHE model and a highly simplified heat pump model. Scenarios with one and six pipe pairs with lengths of 30 and 60 m were simulated for a period of 5 years.
The steadystate pipe models with exponential and linear temperature profiles provide identical results for the investigated fluid temperatures and BHE loads. For the transient numerical pipe model, deviations occur for the shortterm behaviour after control events of the heat pump. However, these have no effect on the overall assessment of BHE operation.
The numerical ground model with homogeneous properties and the FLS model provide almost identical results. The analysis of the temperature field in the ground has shown that the dimensions of the numerical model were chosen too small, which, however, did not have a significant influence on the parameters investigated. The deviations between the two models mentioned and the numerical model with inhomogeneous properties depend on the actual properties. For the case chosen as an example here, however, it was shown that the differences between the two scenarios were rather small. The soil resistance model does not take into account temperature accumulation in the ground, nor the thermal interference of multiple pipes. This leads to significant deviations compared to the other models while overestimating the heat exchange along the connecting pipes.
Interestingly, during the simulation of six pairs of pipes in a shared trench and due to the bundled arrangement of the pipes and the thermal interference, the heat exchange per pipe with the surrounding ground decreased significantly. While the BHE heat load with one pair of 30 m pipes was increased by 40% due to the heat transfer along the connection pipes, it was always 10% for the case with six pairs of pipes. For the cooling loads, which are the dominant loads in the investigated scenario, the BHE load was reduced by 5% with one pair of pipes and only 2.6% with six pairs of pipes.
With regard to the computational effort, the steadystate linear model is the most efficient of all pipe models, followed by the steady state and the 1D numerical model. The FLS model required less computational time than the 2D numerical ground model, however this is only valid for the chosen model size and discretization. Furthermore, it should be noted that for the FLS model, due to the spatial and temporal superposition, the computational effort increases exponentially with increasing number of time steps as well as with increasing number of pipes.
The proposed steadystate model combines the findings from the previous comparison. By combining the well established borehole resistance approach for the BHE with a model of similar simplicity for the connection pipes, the model allows for an easy estimation of the load distribution between BHE and connection pipes for all cases in which the influence of the borehole heat capacity and shorttime effects are negligible. The model can be simply extended to an arbitrary number of BHEs and connection pipes. For more complex pipe paths or inhomogeneous soil conditions, the pipe gfunctions may need to be calculated numerically. However, once calculated they can be used within the proposed model for a variety of studies with different loads or thermal boundary conditions. In future work, we will use the model to investigate different climatic conditions.
Availability of data and materials
Data available on request.
Abbreviations
 \({A}_{\text{i}}\) :

Inner crosssectional area of pipe
 c :

Specific heat capacity
 \(d_{\text{p,i}}\) :

Pipe inner diameter
 g :

Gfunction
 H :

Length of line source
 l :

Length
 Nu :

Nusselt number
 Pr :

Prandtl number
 q :

Lengthrelated thermal load
 \(q_\text{v}\) :

Source term
 \(Q_\text{tot}\) :

Total load
 r :

Radial distance
 \(r_\text{p,i}\) :

Pipe inner radius
 \(r_\text{p,o}\) :

Pipe outer radius
 \(R_\text{conv}\) :

Convective thermal resistance
 \(R_\text{fs}\) :

Fluidtosoil thermal resistance
 \(R_\text{p}\) :

Pipe thermal resistance
 Re :

Reynolds number
 s :

Variable of integration
 t :

Time
 T :

Temperature
 \(T_0\) :

Undisturbed ground temperature
 u :

Velocity
 \({\dot{V}}\) :

Fluid volumetric flow rate
 x,Â y,Â z :

Spatial coordinates
 \(\alpha\) :

Thermal diffusivity
 \(\eta\) :

Dynamic viscosity
 \(\lambda\) :

Thermal conductivity
 \(\rho\) :

Density
 \(\Phi\) :

Specific heat transfer coefficient
 \(\text{b}\) :

Borehole
 \(\text{f}\) :

Fluid
 \(\text{in}\) :

Inlet
 \(\text{out}\) :

Outlet
 \(\text{p}\) :

Pipe
 \(\text{s}\) :

Soil
 \(\text{BHE}\) :

Borehole heat exchanger
 \(\text{HP}\) :

Heat pump
 \(\text{FLS}\) :

Finite line source
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This work was supported by the RWTH Aachen  University of Melbourne Joint PhD Program.
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DÃ¼ber, S., Fuentes, R. & Narsilio, G.A. Comparison and integration of simulation models for horizontal connection pipes in geothermal bore fields. Geotherm Energy 11, 15 (2023). https://doi.org/10.1186/s40517023002528
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DOI: https://doi.org/10.1186/s40517023002528