Research Article  Open Access
M. Carlini, S. Castellucci, E. Allegrini, A. Tucci, "DownHole Heat Exchangers: Modelling of a LowEnthalpy Geothermal System for District Heating", Mathematical Problems in Engineering, vol. 2012, Article ID 845192, 11 pages, 2012. https://doi.org/10.1155/2012/845192
DownHole Heat Exchangers: Modelling of a LowEnthalpy Geothermal System for District Heating
Abstract
In order to face the growing energy demands, renewable energy sources can provide an alternative to fossil fuels. Thus, lowenthalpy geothermal plants may play a fundamental role in those areas—such as the Province of Viterbo—where shallow groundwater basins occur and conventional geothermal plants cannot be developed. This may lead to being fuelled by locally available sources. The aim of the present paper is to exploit the heat coming from a lowenthalpy geothermal system. The experimental plant consists in a downhole heat exchanger for civil purposes and can supply thermal needs by district heating. An implementation in MATLAB environment is provided in order to develop a mathematical model. As a consequence, the amount of withdrawable heat can be successfully calculated.
1. Introduction
The Directive 2009/28/CE—implemented in Italy in 2010—set ambitious targets in order to ensure a clean and sustainable future. Its aim is to reduce greenhouses gases emissions by 20%, to produce 20% of energy from renewable sources and to decrease the consumption by 20% improving the energy efficiency. These goals must be reached by 2020 [1].
The abovementioned regulation led the public administrations and private stakeholders to investigate new technologies which may face the growing energy demands by the use of renewable sources alternative to fossil fuels. Thus, energy supply might change from being predominantly fossil fuelled to being fuelled by locally available sources. In this scenario, lowenthalpy geothermal plants for heating and cooling buildings can be successfully used [2].
Basically, ground source heat pump systems can be distinguished in two different types: earthcoupled or closedloop and groundwater or openloop. In the first case, heat exchangers are underground and located horizontally (known as GSHP, acronym for “ground source heat pump”), vertically (known as DHE, acronym for “downhole heat exchanger”) or obliquely. Heat is transferred from or to the ground thanks to a heatcarrying which circulates within the exchanger [2].
In the present paper, the use of DHE is taken into account. The exploitation of geothermal resources by DHEs is not characterized by mass withdrawal from the aquifer: more precisely, they permit heat transfer without extracting any fluid from the ground. This is to avoid the depletion of the aquifer, as requested by legislative restrictions. However, an important aspect has to be considered: the amount of withdrawable heat may be limited (usually less than 100 kW). This phenomenon is mainly due to the interaction between heat exchanger, well, and aquifer. As a consequence, DHEs are mostly used in small applications, such as buildings, greenhouses, and thermal baths [3, 4].
In order to increase vertical circulation of water and the natural mass transfer between aquifer and well, promoters can be used [5]. The exchangers consist in pipes or tubes which are located within the well. Because of the low capacity, these systems are successful up to 150 m of depth. Several designs are nowadays available but the most common one is a Utube which extends to near the bottom of the well. Multiple tubes can be alternatively used [6].
Several studies were carried out in the past and led to the reconstruction of the stratigraphy, the evaluation of heat flow, the probable origin of hot waters and the chemical properties of gas and hydrothermal emissions. Della Vedova et al. developed a new heat flow map as shown in Figure 1: it can be seen how the highest values (red and orange areas) are mostly located in the Tyrrhenian Sea and in Central Italy (western coastline, especially in Tuscany and northern Latium) [7].
In the province of Viterbo hydrogeological settings and shallow groundwater basins seem to be particularly suitable for a wide implementation of DHE systems. Moreover, performances of geothermal heat pumps are significantly limited since groundwater basin temperatures vary from 40°C up to 90°C. Thus, their use is not recommended and implemented in the area.
The province of Viterbo is located in northern Latium and hosts several thermal springs in its territory. They had been already known by Romans who used them for therapeutic purposes. Bullicame Spring is one of the most famous hydrothermal source and is even mentioned by the poet Dante Alighieri. Nowadays, thermal waters are exploited for direct use or to supply spas and pools. Figure 2 shows the location of Viterbo hydrothermal area (dotted circle) within the regional geological picture. The investigated area lies between the Tyrrhenian coastline and the Apennines. From a geological point of view, the region is characterized by sedimentary basins belonging to the upper MiocenePleistocene age, elongated between ridges of MesozoicPaleogene rocks, which overlay a PaleozoicTriassic metamorphic basement. Within this geological framework, Cimini volcanic complex consists of quartzolatitic domes and ignimbrites and lavas. The Vico complex is characterized by explosive activity and is a typical stratovolcano. The substrate beneath them is made of sedimentary rocks [8].
The province of Viterbo is characterized by overlapped interacting aquifers. More precisely, the shallow volcanic aquifer has fresh waters which come from the area around Cimini Mountains. It is limited at the bottom by the semiconfining marlycalcareousarenaceous complex and lowpermeability clays. Vertical upflows of thermal waters—consisting in sulphatechloridealkalineearth type and gases—occur westwards of Viterbo. This phenomenon is mainly due to the uplifted carbonate reservoir, the limited thickness of the semiconfining layer, and the high local geothermal gradient. Hot waters are characterized by temperatures varying between 30 and 60°C thanks to the deep circulation in carbonate rocks. The minimum upward flow is 0.1 m^{3}/sec. Springs and deep wells are fed by it [8].
An appropriate interpretation of the stratigraphy is successfully reached by drilling wells. Moreover, it can be correlated to surface geology in order to get the reconstruction of the hydrostratigraphy of the thermal area. Formations of Cimini and Vico complexes occur from the first 10 m down to 100 m. The shallow unconfined aquifer consists in these rocks and its thickness decreases where there are more layers of travertine. PlioPleistocene deposits lie beneath the volcanic aquifer and marlycalcareousarenaceous flysh occurs below them [8].
A high concentration of wells and thermal springs occurs in the central area of the province of Viterbo. Data—such as elevation, discharge, and temperature—are available. With specific regard to the most important thermal springs in the province, the data are given in Table 1 [8].

The aim of the present paper is to exploit the heat coming from a lowenthalpy geothermal plant for civil purposes, that is, district heating, as shown in Figure 3. In order to evaluate the withdrawable amount of heat, an implementation in MATLAB environment is developed. The goal is reached using real data which have been obtained by specific measurements in situ.
2. Models and Methods
The experimental plant is located in the central thermal area of Figure 2 and has been provided by Mr. Daniele Cortese, who owns the company “Plants and Bulbs”. Since regulations discourage the drilling of new wells, an existing one is chosen to develop the system. Moreover, the well is linked to the volcanic aquifer which is characterized by low hydraulic gradients and lays between swampy deposits and travertine. The local substratum is more than 50 m deep and consists in marlycalcareousarenaceous complex [8].
The lowenthalpy geothermal system can be easily drafted as a reservoir which contains hot water and a pipe. Measurements of temperature in the groundwater basin were carried out at different depths: 2, 22, and 44 m, respectively. The temperature inside the well can be considered as constant and equal to 60°C, since the range of its variability is limited. According to the drilling log, the well is 60 m deep below the ground level. Its diameter is 150 mm and reaches the bottom of the aquifer. Moreover, a steel flanged pipe is located on the top of the well in order to contain the upflow water, which is generated by gases pressure and reaches 1.5 m above ground level. The heat exchanger consists in a vertical single Upipe, as shown in Figure 4: the internal and external diameters are 29.1 mm and 33.7 mm, respectively and the total length is 110 m. The pipe is made of steel and its thickness is 4.6 mm. Three different modes of heat transfers occur: natural convection in the ground water basin, conduction within the wall of the pipe, and forced convection inside the heat exchanger. The latter is due to the pumping of water. The groundwater within the well is characterized by convective motions which are due to differences of density and consequently cause heat transfers [9].
(a)
(b)
In order to evaluate the total amount of withdrawable heat using the abovedescribed system, an implementation in MATLAB is developed. The overall heat transfer rate is formally represented by [9–11] where : overall heat exchange area (m^{2}); : overall heat transfer coefficient (W/m^{2}/K); : logarithmic mean temperature difference (K). can be successfully calculated using the following formula [9–11]: where : heat transfer coefficient inside the pipe (W/m^{2}/K); : heat transfer coefficient in the groundwater basin (W/m^{2}/K); : external diameter of the pipe (m); : internal diameter of the pipe (m); k: thermal conductivity of the wall (W/m/k); R: fouling factor (dimensionless).
The second term in the definition of is related to conduction but can be neglected since the thickness of the tube is limited. Moreover, results from the type of material and is tabulated depending on type of fluid, heat exchangers, and temperature. Figure 5 shows a schematic model with the different modes of heat transfers and the heat transfer coefficient related to them [12–15].
MATLAB is a highlevel language and interactive environment which enables you to perform numerical computations and intensive tasks. It is an abbreviation for “MATrix LABoratory” and is designed to operate primarily on matrices and arrays [16].
With specific regard to the abovedescribed plant, an implementation in MATLAB allows to develop a mathematical model for the DHE in the shallow groundwater basin. The model results from measurements in situ so that it is possible to evaluate its quality, repeatability, and use in other areas [17–24].
In (2.2), can be calculated using Reynolds number and the heat transfer coefficient which depends on fluid motion conditions inside the pipe. The so called “laminar flow” occurs when Reynolds number is less than 2100. When its value is higher than 10000, the flow becomes “turbulent”. If it is in the range between 2100 and 10000, the motion is in transition conditions. Furthermore, Reynolds number is related with water speed inside the heat exchanger. The latter can be easily calculated using the values of flow rate at the entrance of the pipe and the cross section. depends on several parameters—such as the density of the fluid in the groundwater basin and the coefficient of thermal expansion—which result from the temperature of the film between the thermal water and the wall of the heat exchanger. Thus, is linked to the water temperature inside the well and the temperature of the wall . is obtained using (mean temperature of the fluid in the pipe) and . In order to calculate the values of water temperature at the beginning —which is known—and at the end of the tube are required [9, 10]. The mean temperature profile within the pipe (Figure 6) can be defined by the following equation: where water temperature inside the well (K); : water temperature at the beginning of the pipe (K); P: perimeter (m); m: flow rate (m^{3}/sec); : specific heat at constant pressure (joule/kg/K).
Since depends on which results from and , an iteration loop is developed in MATLAB: an initial value for and is adopted and the iteration process continues until the convergence is reached.
3. Results and Discussions
The results in Table 2 are given by the implementation in MATLAB environment.

The lowenthalpy geothermal system can be successfully used for civil purposes, such as district heating, which provides energy to supply thermal needs. The total energy demand to heat a building depends on the so called “heat degree days”, whose acronym is “HDDs”. The heating requirements for a given structure at a specific location are considered to be directly proportional to the number of HDDs at that location. HDDs are defined relative to a base temperature which is the outside temperature above which a building does not need heating. In order to evaluate HDDs, an approximation method is to take the average temperature on any given day and to subtract it from the base temperature. If the value is less than or equal to zero, that day has zero HDDs; if the value is positive, that number represents the number of HDDs on that day. Thus, only the positive differences of temperature must be considered. HDDs are calculated as follows: where i: value varying from 1 to the number of heating days nhd; : base temperature (°C); : mean daily external temperature (°C).
According to the value given by (3.1), Italy is divided into six different areas—from “zone A” (the hottest one) to “zone F” (the coldest one), as Figure 7 shows. More precisely, HDD increases when the climate becomes colder. Viterbo belongs to “zone D” [25].
The total amount of withdrawable heat —which comes from the implementation in MATLAB—leads to the determination of the thermal needs of a specific building. Buildings can be distinguished in seven classes considering the level of consumption of primary energy. Since the energy supply to heat the house is known for each class, the area —which can be heated by the DHE in the experimental plant—can be calculated. The results are shown in Table 3 and are referred to the lowest consumption buildings.

4. Conclusion
The mathematical model—provided by the useful implementation in MATLAB environment—leads to the evaluation of withdrawable heat using a DHE in a lowenthalpy geothermal plant. As a consequence, the thermal needs, supplied by the system, can be calculated. As it can be seen in Table 3, buildings of different sizes can be heated by lowtemperature systems, such as radiant floors or thermoconvectors. The surface area depends on the energy class: 1446 —which approximately corresponds to 14 flats, 100 each—can be heated if the building belongs to class A. The amount of surface —heated by DHE— decreases from class A to class C. In the latter case, it is equal to 723 .
Moreover, other situations can be easily considered in the model by simply changing the input data, such as geometry of the heat exchangers (, and ), , or considering the variability of in the well.
It is important to underline that the implemented model can be successfully used in those areas where shallow thermal ground basins occur and if their temperature is close to 60°C. Furthermore, the result of modelling is a correct sizing of DHEs for civil purposes, that is district heating.
References
 Directive 2009/28/EC of the European Parliament and of the Council.
 S. Lo Russo, C. Boffa, and M. V. Civita, “Lowenthalpy geothermal energy: an opportunity to meet increasing energy needs and reduce CO_{2} and atmospheric pollutant emissions in Piemonte, Italy,” Geothermics, vol. 38, no. 2, pp. 254–262, 2009. View at: Publisher Site  Google Scholar
 A. Carotenuto, C. Casarosa, and L. Vanoli, “Optimizing the position of the tube casing slotted section for geothermal wells with a downhole heat exchanger,” Geothermics, vol. 30, no. 1, pp. 133–157, 2001. View at: Publisher Site  Google Scholar
 A. Carotenuto, N. Massarotti, and A. Mauro, “A new methodology for numerical simulation of geothermal downhole heat exchangers,” Applied Thermal Engineering, vol. 48, pp. 225–236, 2012. View at: Google Scholar
 A. Carotenuto, C. Casarosa, M. Dell'isola, and L. Martorano, “An aquiferwell thermal and fluid dynamic model for downhole heat exchangers with a natural convection promoter,” International Journal of Heat and Mass Transfer, vol. 40, no. 18, pp. 4461–4472, 1997. View at: Google Scholar
 J. W. Lund, “The use of downhole heat exchangers,” no. 97601, GeoHeat Center, Oregon Institute of Technology, Klamath Falls, Ore, USA. View at: Google Scholar
 D. Scrocca, C. Doglioni, and F. Innocenti, “Vincoli per una interpretazione della geodinamica italiana: una revision,” Memorie Descrittive della Carta Geologica d'Italia, vol. 62, pp. 15–46, 2003. View at: Google Scholar
 V. Piscopo, M. Barbieri, V. Monetti et al., “Hydrogeology of thermal waters in Viterbo area, central Italy,” Hydrogeology Journal, vol. 14, no. 8, pp. 1508–1521, 2006. View at: Publisher Site  Google Scholar
 M. Carlini and S. Castellucci, “Efficient energy supply from ground coupled heat transfer source,” in Proceedings of the ICCSA, vol. 6017 of Lecture Notes in Computer Science Part 2, pp. 177–190, Springer, Berlin, Germany, 2010. View at: Google Scholar
 M. Carlini and S. Castellucci, “Modelling the vertical heat exchanger in thermal basin,” in Proceedings of the ICCSA, vol. 6785 of Lecture Notes in Computer Science Part 4, pp. 277–286, Springer, Berlin, Germany, 2011. View at: Google Scholar
 M. Carlini, D. Monarca, P. Biondi, T. Honorati, and S. Castellucci, “A simulation model for the exploitation of geothermal energy for a greenhouse in the viterbo province,” in Proceedings of the International Conference Ragusa SHWA, Work Safety and Risk Prevention in Agrofood and Forest Systems, pp. 621–629, Ragusa Ibla Campus, Italy, 2010. View at: Google Scholar
 P. A. Østergaard and H. Lund, “A renewable energy system in Frederikshavn using lowtemperature geothermal energy for district heating,” Applied Energy, vol. 88, no. 2, pp. 479–487, 2011. View at: Publisher Site  Google Scholar
 A. Michopoulos, K. T. Papakostas, and N. Kyriakis, “Potential of autonomous groundcoupled heat pump system installations in Greece,” Applied Energy, vol. 88, no. 6, pp. 2122–2129, 2011. View at: Publisher Site  Google Scholar
 P. Cui, X. Li, Y. Man, and Z. Fang, “Heat transfer analysis of pile geothermal heat exchangers with spiral coils,” Applied Energy, vol. 88, no. 11, pp. 4113–4119, 2011. View at: Publisher Site  Google Scholar
 Z. Shengjun, W. Huaixin, and G. Tao, “Performance comparison and parametric optimization of subcritical Organic Rankine Cycle (ORC) and transcritical power cycle system for lowtemperature geothermal power generation,” Applied Energy, vol. 88, no. 8, pp. 2740–2754, 2011. View at: Publisher Site  Google Scholar
 http://www.mathworks.com/.
 S. Castellucci, M. Carlini, M. Guerrieri, and T. Honorati, “Stability and control for energy production parametric dependence,” Mathematical Problems in Engineering, vol. 2010, Article ID 842380, 21 pages, 2010. View at: Publisher Site  Google Scholar
 S. Castellucci and M. Carlini, “Modelling and simulation for energy production parametric dependence in greenhouses,” Mathematical Problems in Engineering, vol. 2010, Article ID 590943, 28 pages, 2010. View at: Publisher Site  Google Scholar
 M. Carlini and S. Castellucci, “Efficient energy supply from ground coupled heat transfer source,” in Proceedings of the ICCSA, vol. 6017 of Lecture Notes in Computer Science Part 2, pp. 177–190, 2010. View at: Google Scholar
 C. Cattani, S. Chen, and G. Aldashev, “Information and modeling in complexity,” Mathematical Problems in Engineering, vol. 2012, Article ID 868413, 4 pages, 2012. View at: Publisher Site  Google Scholar
 S. Chen, Y. Zheng, C. Cattani, and W. Wang, “Modeling of biological intelligence for SCM system optimization,” Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 769702, 10 pages, 2012. View at: Publisher Site  Google Scholar
 M. Li, S. C. Lim, and S. Chen, “Exact solution of impulse response to a class of fractional oscillators and its stability,” Mathematical Problems in Engineering, vol. 2011, Article ID 657839, 9 pages, 2011. View at: Publisher Site  Google Scholar
 S. Chen, Y. Wang, and C. Cattani, “Key issues in modeling of complex 3D structures from video sequences,” Mathematical Problems in Engineering, vol. 2012, Article ID 856523, 17 pages, 2012. View at: Publisher Site  Google Scholar
 S. C. Lim, C. H. Eab, K. H. Mak, M. Li, and S. Y. Chen, “Solving linear coupled fractional differential equations by direct operational method and some applications,” Mathematical Problems in Engineering, vol. 2012, Article ID 653939, 28 pages, 2012. View at: Publisher Site  Google Scholar
 Legislative Decree 29/12/2006 n. 311 published on Gazzetta Ufficiale 01/02/2007 no. 26.
Copyright
Copyright © 2012 M. Carlini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.