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Dynamic Thermal Simulation of A PCM Lined Building with Energy
Plus
MURAT OZDENEFE, JONATHAN DEWSBURY
School of Mechanical Aerospace and Civil Engineering
The University of Manchester
Manchester M13 9PL
UNITED KINGDOM
Abstract: - Thermal transmittance of the building fabric plays a significant role in building heat transfer. As the
thermal transmittance value decreases, building heat losses and gains through building fabric reduces. In
addition to the thermal transmittance, heat storage in the building fabric either in sensible or latent form has an
important effect on indoor temperature. The objective of this work is to investigate the effect of temperature
reduction capacity of a PCM lining which is applied to a simple building under the weather conditions of
Cyprus. Dynamic thermal simulations are carried for the simple building and it is found that by application of
15 mm PCM lining temperature reductions achived up to 1.2 oC without supplying any means of mechanical
ventilation or cooling. It is also found that for the indoor temperatures in the band of 26 oC- 30
oC PCM lined
building has always less hours exceeding a temperature value than a building having no PCM lining.
Key-Words: - Building simulation, thermal, phase change materials, Energy Plus, enthalpy method, heat storage
1 Introduction Heat can be stored in building fabric either in
sensible or latent form. Heavy materials are usually
employed for sensible heat storage. On the other
hand, phase changing materials (PCMs) can be
incorporated to the building fabric for latent heat
storage. The isothermal behaviour of the fabric
(thermal stability) when incorporated with PCMs is
the advantage of storing heat in the latent form.
The main feature of the PCMs is to keep built
environment thermally stable by storing more heat
per unit volume than the other conventional
materials, which is achieved by latent heat storage.
When the temperature increases, bonds between
molecules breaks and material melts and turns from
solid to liquid. Phase change from solid to liquid
absorbs heat. Conversely when the temperature
drops below the melting point of material it freezes
and turns from liquid state to solid state. During this
phase heat is released. This process stabilizes the
indoor temperature of the building without changing
thermal transmittance of the building fabric but by
stabilizing the surface temperature by storing heat.
This cycle reduces peak cooling load and decreases
heating load as well [1], [2].
In this work, PCM lined building which
composed of single room is simulated with Energy
Plus program under the weather conditions of
Cyprus. The objective is to investigate the effect of
PCM lining placed on the inner surface of building,
on the indoor temperatures for the cooling season.
Indoor temperatures of the building with and
without PCM lining is investigated and compared to
reveal the thermal stabilizing effect as well as the
peak temperature reducing capability of the PCM
lining.
2 Energy Plus Program and Enthalpy
Method for modelling PCMs Energy Plus is an energy analysis and thermal load
simulation program, which calculates the heating
and cooling loads of a building that is necessary to
maintain specified thermal conditions. It also
evaluates many other parameters related with the
thermal performance of the building [3]. Energy Plus follows the “ASHRAE heat balance
method” [4] principles for heating and cooling load
calculations. Heat balance method is based on
balancing all energy flows into a thermal zone. This
involves solving a set of equations, which are
energy balance equations for outside surface, inside
surface and indoor air for each element (wall, roof
etc.) of a building.
The advantage of the heat balance method is that
it reduces the transient heat transfer equations into
simple linear equations with constant coefficients,
which could be solved easily for inside and outside
face temperatures. The coefficients involved in
these linear equations are evaluated only one time
for each type of construction. This simplicity makes
this method to simulate buildings involving
materials, which have constant properties. Therefore
more advanced materials such as PCMs, which have
variable heat storing capacity depending on
temperature can not be modelled by this method. To
overcome this obstacle a finite difference algorithm
is included in Energy Plus enabling to model
materials, which have variable thermal properties.
This algorithm employs the enthalpy method, which
makes it possible to account all the enthalpy of the
PCMs during the simulation process [5].
Solution of phase change problems are difficult
because two phases (solid and liquid) present
simultaneously and phase change interface is
moving and its position is unknown as latent heat is
absorbed or released at the interface. The energy
equation is needed to be written separately for both
of the phases and their temperatures should be
coupled in the phase interface. This requires finding
out the location of phase interface, which is difficult
if the problem is to be solved by finite difference
methods.
The enthalpy method is an approach that
overcomes these difficulties by applying enthalpy
form of the energy equation, which could be used
for both of the phases. Therefore, there is no need to
have separate equations for solid and liquid phases
making finite difference solution methods
applicable. The enthalpy form of the energy
equation is given in the following expression [6],
[7].
(1)
Where,
∇ = Del operator
k = Thermal conductivity
∇T = Temperature gradient (vector)
ρ = Density
(∂H (T)) /∂t = Enthalpy change with respect to time
In building simulation, heat transfer through
building elements (walls, roofs, etc.) is usually
treated as one-dimensional. Let us consider a
solidification of a liquid, which is initially at a
uniform temperature of T0 that is higher than
melting temperature having boundaries 0≤x≤B. If
the boundary temperature at x=0 for times t>0 are
kept at f which is lower than the melting
temperature and if it is assumed there is not any
temperature gradient at the boundary x=B then (1)
and the related boundary conditions become as (2)
[6]. The physical illustration of this phenomenon is
given in Fig. 1.
0
T=T0>Tmelt
(liquid)
B
t = 0
x0
ρ.δH/δT=
k.δ2T/δx2
B
t > 0
x
T=f<Tmelt δT/δx=0T=T0>Tmelt T=T0>Tmelt
Fig. 1: Physical illustration of enthalpy form of the
energy equation and boundary conditions.
(2)
In Energy Plus, (2) is approximated with implicit
finite difference method as in (3). Then, (3) is
solved within the algorithm by using user entered
enthalpy temperature values to obtain enthalpy-
temperature function. Therefore, it is necessary that
the user inputs the temperatures and corresponding
enthalpies of the substance that is going to be
modelled. (3) and enthalpy-temperature function is
generated for the each node of the PCM material.
The node temperatures are updated after each
iteration so the node enthalpies are updated as well
and are used to develop a variable Cp for phase
change material. This is done by the Cp equation,
which is given in (4). By this algorithm the correct
enthalpy is used for each time step thus the correct
Cp is used [5].
(3)
(4)
Where,
Cp = Specific heat
∆t = Time step
∆x = B/M where M is the number of parts that the
region 0≤x≤B is devided
i = spatial discretization
n = time discretization
3 Properties of Applied PCM Lining
and Incoorporation to Energy Plus In this work to be realistic, it is thought to employ a
real PCM end product, which exists in the market.
Due to passive applications of PCMs to the the
buildings is relatively new technology the variety of
the products in the market are limited. Few
companies produce these materials for building
applications. One of them is a chemical company
called BASF, which they named their product as
Micronal PCM. Micronal PCM is a product that
encapsulates the paraffin wax that is phase change
material in polymer capsules having size of
approximately 5 µm. This product has three types
having three different phase change temperatures;
21, 23 and 26 oC [8].
The Micronal PCM, which is the raw material,
can be incorporated in the construction materials to
produce end products. Such products exist and they
are already available in the market. One of the end
products produced from Micronal PCM is wall
boards which is called Micronal PCM Smartboard
(will be referred to as Smartboard from this point
forward). This product has thickness of 15 mm and
contains 26% mass fraction of microcapsulated
PCM [8]. Its thermal conductivity and density are
0.196 W/m.K and 770 kg/m3 respectively
[9]. It has
three types, which each of them has different phase
change temperatures; 21, 23 and 26 oC. Because the
main objective of this work is to control the
excessive temperatures the one having phase change
temperature of 26 oC is used as lining in the
simulations. Properties of the Micronal PCM which
is the raw material for the Smartboard 26 is given in
Table 1. Temperature vs. enthalpy curve for the
Smartboard 26 is given in Fig. 2. The data points
which are entered to the Energy Plus program are
also seen in Fig.2 [9].
Table 1: Properties of Micronal PCM which is the
raw material of Smartboard 26 [8].
Product type Dispersion Powder
Melting point 26 oC 26
oC
Operational range 10-30 oC 10-30
oC
Overall storage
capacity 59 kJ/kg 145 kJ/kg
Latent heat capacity 45 kJ/kg 110 kJ/kg
Density 0.98 kg/m3 ---
Apparent density --- 250-350
kg/m3
Fig. 2: Temperature vs. enthalpy curve of the
Smartboard 26 [9].
4 Simulated Building The model generated is one room, one storey
building having single thermal zone. Plan of the
model and its 3-D drawing are given in Fig. 3 and in
Fig. 4 respectively. Illustration of the fabrics of the
model is given in Fig. 5. The building fabric of the
model especially the walls and roof are kept simple
to be able to observe the effects of PCM. The
materials employed in the model are widely used in
Cyprus. No ventilation or cooling system assigned
to the model. Two simulations are carried out; one
for the model, which does not employ PCM lining,
and one, which has PCM lining on the inner surface
of the walls and roof. The model having PCM has
the same configuration as given in Fig. 5 and the
fabric called lining in the figure is the PCM lining.
On the other hand, No PCM model also has the
same configuration as in Fig. 5 but the fabric called
lining in the figure is a hypothetical material which
has the same thermal and physical properties
(thermal conductivity, specific heat (for solid state),
density) as PCM lining except phase change feature.
Thus, the PCM and NO PCM models are identical
except for the phase change feature. Simulations are
carried out for the Cyprus (city of Larnaca)
simulation weather data, which exist in the Energy
Plus database. 5.0
3.01
.2
2.2
1.02.0
2.0
5.0
N
Volume (m3)
Floor area (m2)
External wall area (m2)
External opening area (m2)
75
25
60
5.8
All dimensions in m
1.0
1.3
Fig. 3: Plan of the modelled building and its
physical features.
Fig. 4: 3-D drawing of the model.
dX (mm)
Plaster
U value (W/m².K)
Perforated
clay brick
Lining
25 200 15
Reinforced
concrete
Lining
150 15
Marble Screed
30 20
Sand
50
Concrete
100
Hardcore
150
Outdoor Indoor
Outdoor
Indoor
Indoor
dX (mm)
dX (mm)
Soil
External wall
Roof
U value (W/m².K)
Floor
U value (W/m².K)
1.682
6.759
2.719
Fig. 5: Thermal properties of the fabric. (windows
and door U values; 3.61 W/m2K and 4.25 W/m
2K
respectively)
5 Results of Simulations Simulations are carried out for whole year.
However, only the months May to October
(inclusive) are considered for the results of
simulations due to reducing indoor temperatures for
cooling season is the main objective. The results are
presented in the form of comparison of building
having PCM lining with the one having no PCM
lining.
Initially the comparison of hourly indoor air
temperatures of No PCM and PCM building are
presented in the form of charts for particular days
for each month considered (May-October). The
effect of PCM lining can be observed for each
individual hour from this charts enabling micro
scale investigation. Peak temperature shaving could
be seen in these charts. Then the CDF (cumulative
distribution function) curves of these occurring
temperatures are generated and presented in order to
observe macro effect of PCM lining.
Hourly indoor air temperatures of the PCM and
No PCM building as well as outdoor air
temperatures for May-October period for three days
(14th, 15
th and 16
th) are given in Fig.6.
Fig. 6: Hourly indoor air temperatures for No PCM
and PCM building as well as outdoor for May-
October period.
It is seen in above figures that the effect of PCM
lining occurs as peak shave and reduction in
temperature fluctuations. The effect in June, July
and September is very clear whereas in May,
August and October is not very well apparent.
Due to indoor air temperature does not rise well
above or drops well below the phase change
temperature (26 oC) in May, August and October
phase change process is not activated, hence the No
PCM and PCM indoor air temperatures becomes
almost same. For instance in May and October for
three days (14th, 15
th and 16
th) indoor air temperature
never rises above phase change temperature keeping
PCM lining inactive. Whereas during three day
period in August indoor air temperature is above
phase change temperature, almost all hours keeping
the PCM lining always melted.
On the other hand, in June, July and September
indoor air temperature fluctuates mainly about 26 oC, which is phase change temperature thus
continuously activating phase change process
(continuous cyclic melting and freezing).
Maximum reduction in hourly indoor air
temperature by application of PCM lining during
May-October period reaches up to 1.2 oC, whereas
monthly average reduction can reach up to 0.6 oC.
Maximum and average temperature reductions by
application of PCM lining for May-October period
are shown in Table 2 for each month.
Maximum temperature reduction in a month due
to application of PCM lining occurs when the indoor
air temperature difference between No PCM
building and PCM building i.e. TNo PCM-TPCM reaches
maximum value. Whereas, monthly average
reduction in indoor air temperature is evaluated by
calculating the hourly temperature differentials
when TNo PCM-TPCM is positive and averaging them
over the month. This process is illustrated in Fig. 7
for one day as an example.
Table 2: Maximum and average temperature
reduction by application of PCM lining during
daytime.
Months: Max.T
reduction (oC)
Avg.T
reduction (oC)
May 1.2 0.3
June 1.1 0.5
July 1.1 0.3
August 0.8 0.2
September 1.2 0.6
October 1.1 0.4
Time
Me
an
in
do
or
air te
mp
era
ture
1' 3'
3
2
2'
1
(T1-T1')+(T2-T2')+(T3-T3')
3
A particular day in a particular
month within May-October period
No PCM
PCM
4 5 6
4'
5'
6'
Daily average T reduction
by PCM application =
Fig. 7: Illustration of average temperature reduction
by the application of PCM lining.
As well as Table 2, Figure 6 and Figure 7, CDF
curves for indoor air temperatures for No PCM and
PCM lined buildings are generated in order to have
a broader aspect. This curves and their difference
are given in Fig. 8. Hours exceeding a particular
temperature (between 26 oC and 30
oC) for No PCM
and PCM building are given in Fig. 9 in the form of
bar chart as well in order to have a better
visualization.
It is seen in Fig. 8 that until certain temperature,
(around 21 oC) CDF curves of the two buildings are
almost same. This shows that both buildings
experiences almost same amount of hours equal and
exceeding a certain value until 21 oC. This is due to
the inactivity of PCM lining caused by insufficient
temperature rise in PCM building. Between 21 oC
and 25 oC PCM building has more hours than NO
PCM building at and exceeding a certain
temperature value. During this occurring
temperature range PCM lining releases stored heat
yielding a temperature rise in the PCM building
while No PCM building experiences no temperature
rise because its lining has not phase change feature.
Throughout this stage No PCM building has
maximum of 164 hours less than PCM building for
the temperatures at and exceeding 24 oC. Around the
phase change temperature (26 oC), the two curves
intersect. Between 26 oC and 29
oC PCM lining
absorbs heat keeping the indoor air temperature in
the PCM building stable and causes it to have less
hours than No PCM building exceeding a certain
temperature value. In this range maximum of 220
less hours occurs for PCM building than No PCM
building for the temperatures at and exceeding 26.9 oC. When the Indoor air temperatures are above 29
oC two curves are almost the same due to the PCM
lining is almost always melted enabling no heat
storage.
Fig. 9 is the simplified form of the Fig. 8
showing only the particular temperature range from
26 oC- 30
oC. It is seen in Fig. 9 that No PCM
building has always more hours exceeding a
temperature value for this range; 129 hours for 26 oC, 197 hours for 27
oC, 135 hours for 28
oC, 55
hours for 29 oC and 9 hours for 30
oC.
Fig. 8: CDF curves of occurring indoor air
temperatures for NO PCM and PCM building as
well as their difference.
Fig 9: Hours exceeding a particular temperature for
No PCM and PCM building (between 26 oC and 30
oC).
6 Conclusions The results show that application of PCM lining
reduces the indoor temperatures up to 1.2 oC without
application of any other ventilation and cooling
system either in mechanical or natural way for the
May- October Period. It is also seen that for the
temperature range 26 oC- 30
oC PCM lined building
has always less hours exceeding a certain
temperature value than the No PCM building.
It is also revealed that during the months which
the indoor air temperatures are not enough (less than
26 oC) to activate phase change process or
excessively high (above 30 oC) the effectiveness of
the PCM lining reduces.
It should be considered that in this work no
ventilation and cooling system is employed. If the
released heat by the PCM lining during the night
were dissipated by a ventilation or air conditioning
system the effect of the PCM lining for reducing the
indoor air temperatures could be increased.
References:
[1] V. Tyagi and D. Buddhi, PCM thermal storage
in buildings: A state of art, Renewable and
Sustainable Energy Reviews, Vol.11, No.6, 2007,
pp. 1146-1166.
[2] R. Baetens, B. P. Jelle, and A. Gustavsen,
Phase change materials for building applications: A
state-of-the-art review, Energy and Buildings,
Vol.42, No.9, 2010, pp. 1361-1368.
[3] Energy Plus, Energy Plus Documentation. US
Department of Energy, 2010.
[4] ASHRAE, ASHRAE HANDBOOK OF
FUNDAMENTALS, Atlanta: American Society of
Heating, Refrigerating and Air-Conditioning
Engineers, 2009.
[5] C. O. Pedersen, Advanced Zone Simulation in
EnergyPlus: Incorporation of Variable Properties
and Phase Change Material (PCM) Capability,
Building Simulation, 2007, pp. 1341-1345.
[6] M. N. Ozisik, HEAT CONDUCTION Second
Edition, New York: John Wiley & Sons, INC., 1993.
[7] V. Voller and M. Cross, Accurate Solutions of
Moving Boundary Problems Using the Enthalpy
Method, International Journal of Heat and Mass
Transfer, 1981, Vol.24, pp.545- 556.
[8] BASF, Micronal PCM Intelligent Temperature
Management for Buildings, BASF The Chemical
Company, 2009.
[9] Valentin EnergieSoftware, PCM Express, 2008
Valentine Software.