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Design of an EAHE and Assessment of Its Impact on the
Air-Conditioning Needs of a New Building
Frederico Lopes
November 2012
Abstract The present work presents a model that was prepared to describe the passive air-conditioning
technology Earth-to-Air-Heat-Exchanger (EAHE) that is used to design a system for the ventilation
system of part of a restaurant. The values obtained with this model are compared to the results of the
Earthtube model of EnergyPlus. Simulations are then carried out with Energy Plus to analyze how the
system works on the heating and cooling project day. Control strategies are discussed based on the
model results to minimize energy consumption and peak power requirements. Finally an annual
simulation is carried out to assess the global efficiency of the EAHE proposed.
Keywords: Earth-to-Air-Heat-Exchanger, Buried Pipes, Passive Air-conditioning solutions, EnergyPlus Earthtube model, Ventilation Heat Gain.
1. Introduction
Earth-To-Air-Heat-Exchanger is a passive air-conditioning technology that consists of tubes
lying beneath the soil, through which ambient air is drawn. It operates on the fact that the temperature
of the subsoil is almost constant below a depth of 2 m, closely, matching the annual mean
temperature of the ambient air [1]. Generally, it has the effect of cooling the air in the Summer and
heating in the Winter, although inconvenient opposite situations might come up. Then, control
strategies are always recommended, which should use the ambient air and the soil temperature (if
gauged) as reference temperatures. Control strategies are also found in reference to indoor setpoint
temperature, as the ones implemented in the Earthtube model of EnergyPlus used throughout this
work.
In the specific case of the building understudy (a restaurant that seats 210 people), due to the
high heat gains imposed by the occupancy rates, it is not likely that this system might have capacity
to, solely, guarantee thermal comfort to the occupants. However, it might have an important
contribution on the pre-cooling or pre-heating of the outdoor air flow rates that have to be drawn by
law requirement. This is the potential that is assessed in the following study.
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2. Modeling
The modeling section of this project may be divided in three main objects:
- Pre-Processor for EAHE sizing
- EnergyPlus Building Model
- EnergyPlus Earthtube Model
Firstly, a Pre-Processor calculation program for EAHE design was developed in Excel VBA, whereby
the whole thermal model of the heat transfer to air passing through the tubes was the one that is
implemented in Earthtube [1]. That thermal model was coupled with fluids dynamics calculations to
compute all the pressure drops across the system and calculate the fan power required to drive the
air. This program was born from two main limitations in the EarthTube Model:
- It allows one tube only (is not possible to setup an array of pipes)
- It does not compute the fan power needed for driving the air depending on the pressure
drops in the tube designed (which is the cost to pay for taking advantage of the soil
temperate condition)
So, the great capability of this program is to enable the sizing of an array of buried pipes depending on
the space constraints. As geometrical input data, this program receives the length and width of the
area available for the system deployment, and the Diameter of the buried pipes. Then, it sets a
spacing distance between the pipes’ axis equal to 3xDiameter in order to guarantee no thermal
interference among pipes. With that spacing distance defined, the model calculates the maximum
number of pipes that is possible to install knowing the available Width and the Diameter. The aim is to
maximize the number of pipes so that the design air flow rate may split into several channels and not
to pass as fast as it would be if there were a lower number of pipes. The application of the fluid
dynamics model (pressure drops due to the filter, pipes, and fittings) and the thermal model let one
know both the heat transfer and the fan power for each array of pipes. These two values allow the
calculation of the Coefficient of Performance of the Earth-To-Air heat transfer. This COP is one of the
variables available as criteria to choose the optimal arrange of pipes. This parameter was calculated
as the direct cooling or heating effect on the air divided by the ventilation power for specific conditions.
Later in this work a Mean COP is defined as the total cooling or heating energy saved by the EAHE in
the overall building consumptions divided by the energy in ventilation.
Secondly, the building model must be defined for the simulation in EnergyPlus may be run. The
envelope of the case study building was built in DesigBuilder and then exported to the EnergyPlus.
The main features of the building model can be found in the table below:
Floor Area (m2) 186.84
Ceiling Height (m) 4.0
Max. Occupancy 210
Design Flow Rate (m3/s) 2.042
Lighting (W/m2) 12.5
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As important as the foregoing data for the thermal analysis of the zone is the scheduling of its
operating, which were defined as follows:
Occupancy
Ventilation HVAC
Thermostat
Heating Cooling
Annual Period
(Summer, Winter, )
01/01 through 12/31
01/01 through 12/31
01/01 through 12/31
01/01 through 12/31
Type of days
(weekdays, weekends, holidays) All days All days All days All days
Daily Operating schedule
0h – 11h 0 ��� − −
11h – 12h 0 �� 22℃ 22℃
12h – 16h 210 �� 22℃ 22℃
16h – 18h 0 ��� − −
18h – 19h 0 �� 22℃ 22℃
19h – 23h 210 �� 22℃ 22℃
23h – 24h 0 ��� − −
The Envelope of the building is presented in the Figure 1. and 2. both in the architectural view and
DesignBuilder view, whereby it can be seen that it has a façade facing southwards meaning
reasonable heat gain through the glazing.
Figure 1. Building archithectural Project Figure 2. DesignBuilder building model
The glazing and opaque surface heat transfer coefficients are summarized below:
Lateral
façade Roof Floor Glazing
U(W/m�K) 2.339 0.620 1.162 1.563
Adding the foregoing data to the Climate data measured to Lisbon, all the crucial data that EnergyPlus
needs for running the simulation is given.
Finally, the last model that was used in this study was the Earthtube model of EnergyPlus because,
although this model has the limitations pointed out before, it is the only default way of integrating an
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EAHE solution in EnergyPlus, so far. As the variation of the soil temperature in depth was not modeled
in the Pre-Processor developed, the soil temperatures used in that routine were obtained from
EnergyPlus. After the optimal array of tubes being found in the Pre-Processor, the methodology
consisted of establishing the same air flow rate and lengthening up the only tube implemented in
Earthtube (with the same diameter as the tubes in the array) as much as the conditions of the air at its
exit were the same of those found to the array of pipes. Naturally, the length of the equivalent tube in
Earthtube is not realistic but, for the result’s sake, the impact on the thermal zone is the same as the
array would have, if the air flow rate and the inlet temperature are the same.
Beyond geometric features and design air flow rate, the Earthtube model of EnergyPlus uses the
following data related to soil properties for computing the soil temperature at the depth of pipes
installation (3 meter-deep was used in every analysis):
Average ground surface temperature (℃) 18,06
Amplitude of ground surface temperature (℃) 4,77
Phase constant (days) 46
Soil Condition (Heavy soil, damp) �� � 1.30�
�� ; �� � 6.45
�!
"
3. Results
The following figure presents the deployed view of a generic array of tubes that constitutes the EAHE
and shows how the pressure drops behave across the system. As it can be seen in that graph, the
major contributions for the pressure drops are the air filter and the friction losses in the tubes.
Figure 3 Pressure drops along the EAHE
Dynamic pressure Total pressure (relative to atm) Static pressure (relative to atm)
Relative
pressure
(Pa)
Air filter Fan
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2.1 Parametric analysis
The following sub-sections present the results of parametric studies that were carried out changing
each of the relevant variables alone, keeping the other ones with the values indicated in parenthesis.
2.1.1 – Air mean speed in the tubes (D=0.35 m, L=20 m and Tinlet=34ºC)
Figure 4. Parametric analysis to air flow mean speed
The parametric analysis to the mean air speed let one conclude that when the mean air speed
increases, both the rated cooling power of the coil and the fan power increase. However the later is
dominant and the COP tends to decrease. Nonetheless, for slightly low speeds there is a jump in the
heat transfer rate owing to the fact of the laminar air flow turn into turbulent. This change in the flow
regime leads to a higher value of Nu and, consequently, a higher coefficient heat transfer by
convection. The higher the mean air speed, the higher the air flow (as the diameter remains constant),
hence, although cooling power goes up, the absolute difference between inlet and outlet temperature
goes down.
0
5
10
15
20
25
30
0
50
100
150
200
250
300
350Power (kW)COP
vs Mean Air Speed(m/s)COP
Rated Cooling Power (kW)
Fan Power (kW)
0,0
0,5
1,0
1,5
2,0
2,5
3,0
3,5
4,0
0
5
10
15
20
25
30
0,0
10
0,1
10
0,2
09
0,3
09
0,4
08
0,5
08
0,6
07
0,7
07
0,8
06
0,9
06
1,0
05
1,1
05
1,2
04
1,3
04
1,4
03
1,5
03
1,6
02
1,7
02
1,8
01
1,9
01
2,0
00
Flow rate (m3/s)Temperature (ºC)
Mean air Speed(m/s)
vs Mean Air Speed (m/s)Outlet Temperature (ºC)
Volume air flow (m3/s)
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2.1.2 – Diameter ( #$ =2,042m3/s L=20 m and Tinlet=34ºC)
Figure 5 Parametric aanalysis to the diameter
The change in the diameter leads to a variation in the number of pipes that is possible to burry
according to the minimum spacing distance established. However the increase of pipes is not
sufficient to compensate the decrease in the unitary cross section area and the speed tends to
increase when the diameter decreases. This has contradictory effect in the COP as both the heat
transfer and the fan power increase. The heat transfer increases due to the higher surface to volume
ratio and the fan power increases because of the higher friction losses. However, the Fan Power
outweighs the Heat transfer and the COP decreases. The higher COP value is found to a medium
value of diameter because larger diameters lead to a drop in the heat transfer (as the air speed goes
down). Finally, the largest absolute temperature difference between the inlet and outlet is achieved for
lower diameters because the Cooling rate is higher for the same air flow rate.
33 31 28 27 25 24 22 21 20 19 19 18 17 16 16 15 15 14 14 13 13
0
5
10
15
20
25
30
0
20
40
60
80
100
120
Number of pipesPowerCOP
vs Diameter(m)COP
Rated Cooling Power (kW)
Fan Power (x100 W)
0,0
0,5
1,0
1,5
2,0
2,5
0
5
10
15
20
25
30
35
0,2
00
0,2
15
0,2
30
0,2
45
0,2
60
0,2
75
0,2
90
0,3
05
0,3
20
0,3
35
0,3
50
0,3
65
0,3
80
0,3
95
0,4
10
0,4
25
0,4
40
0,4
55
0,4
70
0,4
85
0,5
00
Airflow
Speed (m/s)Temperature (ºC)
Pipes Diameter (m)
vs Diameter(m)Outlet Temperature (ºC)
Mean Air Speed (m/s)
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2.1.3 – Length ( #$ =2,042 m3/s D=0,35m and Tinlet=34ºC)
As far as length parameter is concerned, the analysis is very straight forward because both Fan Power
and Cooling Power increase with the lengthening up of the pipes. The Fan Power increases because
the friction losses go up as long as the air travels longer paths. Longer pipes lead to higher cooling
capacity because the air gets more time for heat exchange. However as further the air goes, the lower
the difference between its temperature and soil temperature is, then, the heat transfer rate decreases.
Due to a slower increase in the cooling power, the constant increase of the Fan power gets dominancy
and the COP drops beyond the 50 m.
Figure 6. Parametric analyses to Length
2.2 Optimum EAHE
The fist criterion to decide on the optimum EAHE was to fulfill the minimum air flow rate imposed by
the legislation of 2.042 m3/s. For each of the diameters listed in the tables below, it was chosen the the
minimum air speed that fulfilled that airflow rate. Then, each pair was evaluated for 4 different Inlet
temperatures (34ºC, 26ºC, 4ºC and 11ºC) that represents two situations of cooling and two situations
of heating, each one for an extreme temperature and a usual temperature. The best candidates in
each relevant variable (Heat Exchange, COP, Fan Power and Outlet Temperature) were outlined in
bold. The final criterion relied on the operating point that would have more impact on heating or
cooling capacity. The higher heat exchange, was the pair D=0.2 m and v=2.0 m/s for all the
experiments, so, this one was chosen.
0
5
10
15
20
25
30
35
40
0
20
40
60
80
100
120
140
160
10,0
14,5
19,0
23,5
28,0
32,5
37,0
41,5
46,0
50,5
55,0
59,5
64,0
68,5
73,0
77,5
82,0
86,5
91,0
95,5
100,0
PowerCOP
Pipes length (m)
vs Length (m)COPRated Cooling Power (kW)Fan Power (x100 W)
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1. Inlet Temperature 34ºC
Diameter (m)
Air flow mean speed (m/s)
Heat Exchange (kW)
Fan Power
(kW)
COP Air flow rate
(m'/s) Outlet
Temperature (℃)
0.2 2.000 25.26 0.59 42.84 2.072 24.16
0.3 1.353 19.40 0.26 74.51 2.103 26.48
0.4 1.055 15.47 0.20 75.87 2.120 28.05
0.5 0.806 12.70 0.18 70.40 2.056 28.97
2. Inlet Temperature 26ºC
Diameter (m)
Air flow mean speed (m/s)
Heat Exchange (kW)
Fan Power
(kW)
COP Air flow rate
(m'/s) Outlet
Temperature (℃)
0.2 2.000 12.61 0.58 21.78 2.072 21.19
0.3 1.353 9.68 0.26 37.44 2.103 22.29
0.4 1.055 7.71 0.20 37.86 2.120 23.07
0.5 0.806 6.33 0.18 35.02 2.056 23.52
3. Inlet Temperature 4ºC
Diameter (m)
Air flow mean speed (m/s)
Heat Exchange (kW)
Fan Power
(kW)
COP Air flow rate
(m'/s) Outlet
Temperature (℃)
0.2 2.000 21.95 0.55 39.87 2.072 12.94
0.3 1.353 16.82 0.25 66.24 2.103 10.69
0.4 1.055 13.39 0.20 65.73 2.120 9.29
0.5 0.806 10.98 0.18 60.32 2.056 8.48
4. Inlet Temperature 11ºC
Diameter (m)
Air flow mean speed (m/s)
Heat Exchange (kW)
Fan Power
(kW)
COP Air flow rate
(m'/s) Outlet
Temperature (℃)
0.2 2.000 10.99 0.56 19.65 2.072 15.58
0.3 1.353 8.43 0.26 33.02 2.103 14.40
0.4 1.055 6.71 0.20 32.96 2.120 13.69
0.5 0.806 5.51 0.18 30.32 2.056 13.28
The impact of this optimum EAHE in the overall thermal behavior of the building was evaluated
through an equivalent Earthtube of D=0,20 m but 325 m-long to draw the same air flow rate as the
ideal EAHE and achieving the same outlet temperatures.
The Heating Design Day Performance is illustrated in the Figure 7 that compares the use of direct
outdoor air or the use of the tubes. It can be observed that the maximum thermal capacity of the
heating system should be about 60 kW using direct outdoor air and is reduced to about 40 kW using
the air through the tubes. This maximum heating capacity however is only required during about one
hour, so one strategy that was tested successfully is to start heating the ambient before introducing
the ventilation that reduced the peak heating power to values below 20 kW.
Direct outdoor air
Figure
The Cooling Design Day Performance is illustrated in the
maximum thermal capacity of the cooling system is reduced
from the use of direct outside air to the underground tubes.
Direct outdoor air
Figure
The Figure 9 shows the breakdown of all the
simulation. Other Thermal Gains and Losses address the annual accumulated value of all the Heat
gains/losses that is similar independently from the ventilation system. It can be observed that the use
of the underground tubes reduces the ventilation thermal loads and as a consequence the required
fan coil heating or cooling.
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his maximum heating capacity however is only required during about one
hour, so one strategy that was tested successfully is to start heating the ambient before introducing
the ventilation that reduced the peak heating power to values below 20 kW.
EAHE
Figure 7. Heating Design day - Heating Rate
The Cooling Design Day Performance is illustrated in the Figure 8. It can be observed that the
maximum thermal capacity of the cooling system is reduced from 38 kW to 22 kW when switching
from the use of direct outside air to the underground tubes.
EAHE
Figure 8. Cooling Design day - Cooling Rate
The Figure 9 shows the breakdown of all the thermal loads according to their use for a full year
simulation. Other Thermal Gains and Losses address the annual accumulated value of all the Heat
gains/losses that is similar independently from the ventilation system. It can be observed that the use
the underground tubes reduces the ventilation thermal loads and as a consequence the required
his maximum heating capacity however is only required during about one
hour, so one strategy that was tested successfully is to start heating the ambient before introducing
. It can be observed that the
from 38 kW to 22 kW when switching
thermal loads according to their use for a full year
simulation. Other Thermal Gains and Losses address the annual accumulated value of all the Heat
gains/losses that is similar independently from the ventilation system. It can be observed that the use
the underground tubes reduces the ventilation thermal loads and as a consequence the required
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Figure 9 Thermal Loads Breakdown
This value corresponds to about 40% of savings in terms of energy consumption for air-conditioning
as indicated in the following table.
Annual Air-conditioning needs in case of usual
ventilation solution
Annual reduction of air conditioning needs due to
EAHE
Annual EAHE’s Fan Energy consumption
Mean COP Value
58.2 MWh 23.7 MWh (40%) 1.9MWh 12.5
4. Conclusions
The study on the viability of a EAHE system deployment for the building under analisys turns
out as a good solution due to the high values of the minimum outdoor air flow rate:
• In the heating design day, a reduction of 20kW of Rated Heating Power was observed. A
different schedule of ventilation would enable a reduction on the peak power.
• In the cooling design day, the reduction of the cooling rated power is about 18kW and the
performance of the cooling system is much steadier.
• In a annual basis the reduction on the air conditioning energy consumption achieved by the
EAHE was about 23,7MWh with a mean COP value of 12,5. The implementation of control
strategies would lead to better performance of the system.
References
[1] U. Eicker. M. Huber. P. Seeberger. C. Vorschulze (2005) Limits and potentials of office building climatisation with ambient air [2] Kwang Ho Lee. and Richard K. Strand (2006) Implementation of an Earth Tube System Into Energyplus Program
-60 -40 -20 0 20 40 60
Ventilation Heat Loss
Ventilation Heat Gain
Other Thermal Gains and Losses
Fan Coil Heating
Fan Coil Cooling
MWh
Air-Conditioning Needs Balance due to Ventilation (MWh/year)
Direct Outdoor Air
ETAHE