=Paper=
{{Paper
|id=Vol-1498/HAICTA_2015_paper30
|storemode=property
|title=Measurements and Simulation of Microclimatic Effects of a Horizontal Hydroponic Pergola
|pdfUrl=https://ceur-ws.org/Vol-1498/HAICTA_2015_paper30.pdf
|volume=Vol-1498
|dblpUrl=https://dblp.org/rec/conf/haicta/KittasAKTVB15
}}
==Measurements and Simulation of Microclimatic Effects of a Horizontal Hydroponic Pergola==
https://ceur-ws.org/Vol-1498/HAICTA_2015_paper30.pdf
Measurements and Simulation of Microclimatic Effects
of a Horizontal Hydroponic Pergola
Constantinos Kittas1, Dimitrios Antoniadis2, Nikolaos Katsoulas2, Ioannis L.
Tsirogiannis3, Gregorios Varras3 and Thomas Bartzanas4
1
University of Thessaly, Department of Agriculture Crop Production and Rural Environment,
Fytokou Str., 38446, Volos, Greece, e-mail: ckittas@uth.gr
2
University of Thessaly, Department of Agriculture Crop Production and Rural Environment,
Fytokou Str., 38446, Volos, Greece
3
TEI of Epirus, Dept. of Agricultural Technology, Unit of Floriculture and Landscape
Architecture, 47100 Kοstakii Arta, Greece
4
Centre for Research and Technology Hellas, Institute for Research and Technology of
Thessaly, Dimitriados 95, 38333, Volos, Greece
Abstract. The microclimate model ENVI-met (V4) was used for predicting the
effects of different systems of planted pergolas on the microclimate of an
atrium. The model was firstly validated using experimental data and then used
for different cases studies. The microclimate measurements were carried in a
real construction project of a hydroponic pergola at Kostakii Campus of the
Technological Education Institute of Epirus (Arta, Greece). The validation
results showed a very good agreement between measured and simulated values
of air temperature. The model was used to predict the effects on air
temperature (Tair), relative humidity (RH), mean radiant temperature (Tmrt) and
Physiologically Equivalent Temperature (PET) when of 0%, 50% and 100% of
the atrium horizontal plane area was covered by the planted pergola. The
results showed that compared to the case with no pergola in the atrium,
covering 100% the atrium area with a planted pergola reduced average Tair up
to 0.78 and 1.3 oC during the day and night, respectively, while at the hottest
time of day, Tmrt was lowered 29.4 oC and the PET was lowered up to 17.9 oC.
Keywords: ENVI-met V4.0, CFD, Thermal comfort, PET
1 Introduction
The amelioration of living conditions in urban environments has been set as a high
priority goal in both national and E.U. level. The bioclimatic design of buildings and
urban hardscapes constitutes a promising option which has the dynamic to contribute
extensively to the diminution of the serious environmental problems that harass
urban areas. The installation of green surfaces on buildings is one of the most
valuable tools of this approach, as because of the physiological functions of the
plants (photosynthesis, respiration, evapotranspiration) and the physical
characteristics of the planting system, produce favorite changes to both the internal
(Monteith and Unsowrth, 2008; Alexandri and Jones, 2008) and surrounding
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environment of buildings (Hoffman και McDonough, 2004; Takebayashi and
Moriyama, 2007; Fang 2008; Robbert et al., 2009).
The use of pergolas has great history as structural element in Mediterranean
architecture. Montero and Salas (2009) studied a hydroponic pergola and outlined its
positive effects in microclimate. The hydroponic pergola and the hydroponic vertical
frame (which are the main points of interest of the proposed project) have the
advantage –when compared to the conventional shading structures- that they give the
landscape architect a field for design creativity as the a number of different plants
could be synthesized in order to create the final result.
Experimental data and development of know-how in local level (thus considering
local climatic conditions) are in luck -and for that indispensable- for the case green
structures on buildings. In this framework the selection of plants is of great interest
(Filippi, 2008, Salas and Montero, 2009; Benvenuti, 2009). Also the study of real
scale green structures, their design, working parameters and effects on microclimate
constitute an innovative research filed. Solutions regarding design, substrate, nutrient
solution and management are expected to be valuable for the spreading of such
systems.
Finally the numerical modeling of such systems will allow the study of numerous
different scenarios regarding their design. Yang et al. (2013), after a brief
presentation of studies that attempt to assess the performance of ENVI-met software
by comparing simulation results with field data, conclude that the ENVI-met model
is capable of modeling outdoor thermal environment for different climate patterns
with acceptable accuracy.
The objective of the present study is to validate the results simulated by the recent
version (V4.0) of ENVI-met software and then use it for the evaluation of different
design of such structures.
2 Materials and Methods
2.1 Experimental facilities
The measurements were made at the Kostakii Campus of the Technological
Education Institute of Epirus (TEIEP, latitude 39o 07΄N, longitude 20o 56΄E, altitude
5m), near Arta, at the north-west coastal area of Greece. According to HNMS (2014),
the climate of the area is classified to Mediterranean type, with hot summers and
mild but rainy winters.
A hydroponic pergola (WxLxH in m: 7x8x2.3) was constructed in order to host a
horizontal planting system. The pergola was placed in the open air central atrium
(WxLxH in m: 15x20x7) of Floriculture & Landscape Architecture (FLA) building
of TEIEP. This selection was based on the assumption that the atrium resembled a
densely structured urban area. Plastic tubes (PVC, Ø125) were used as substrate
containers. Each container was 1 m in length, with screw cap endings, 3 evenly
spaced holes (0.05 m) for planting at the top and drainage holes (3 rows of 10 holes
each) at the bottom. The containers were placed on gutters (PVC, Ø125). The gutters
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were spaced 0.6 m apart following a horizontal lay-out on the pergola and 0.4 m
apart following a vertical lay-out on the vertical hydroponic wall. The containers
were filled with perlite (1-5 mm). A closed-loop system was used for the nutrient
solution supply. The pergola hosted 144 plants in 8 planting rows and included the
following plants: Dimorphoteca sinuata, Gazania rigens, Lavandula angustifolia,
Pelargonium peltatum, Pelargonium zonale, Petunia surfinia, Rosmarinus officinalis
“Prostratus”, Santolina chamaecyparissus and Pelargonium capitatum.
A number of parameters were continuously monitored: a) air temperature (Tair, oC)
and relative humidity (RHair, %) by means of three temperature and humidity sensors
(HD9008TR; DeltaOhm, Padua, Italy): one bellow (at a height of 1.75 m) and two
sensors above the plane of the pergola (height 3 and 5 m, respectively) and b) solar
radiation below the pergola (at a height of 2 m, Rs in W m–2) by means of a solar
pyranometer (SKS 1110; Skye Instruments, Powys, UK). Measurements took place
every 30 s and the 10-min average values were recorded.
The microclimate (air temperature and relative humidity, solar radiation, wind
speed and direction) data outside the atrium were also measured and recorded in a
nearby meteorological station located in an open area of the Campus.
Days from the period without or with the pergola in the atrium with very similar
meteorological data in the reference weather station were selected, and the
meteorological data collected in the centre of the atrium with and without pergola,
were compared, so that to investigate the influence of pergola in the microclimate of
the atrium.
The evaluation was carried out during 2009 and 2010 with the atrium empty and
during 2013 and 2014 with the hydroponic pergola installed in the atrium.
2.2 Simulations
The current version of ENVI-met model (4.0) was used to simulate the
microclimate of the experimental site. This three-dimensional microclimate model is
based on computational fluid dynamics (CFD) and thermodynamics, is able to
simulate flow around and between buildings, exchange processes of heat and vapor
at the ground surface and at walls, exchange of energy and mass between vegetation
and its surroundings, bioclimatology, and particle dispersion (Yang et al. 2013). The
spatial resolution of the model reaches 0.5 m and the time step can be between 1 and
5 s.
The actual environment and elements of the site, such as building, vegetation, soil,
etc., were defined in an ENVI-met area input model (Fig. 1). The plastic tubes (PVC,
Ø125) used as substrate containers, were created in Detailed Design Model Type as
façade elements with top of façade in 3 m and bottom at 2 m and were set in editing
mode as whole façade with individual segment material as PVC Sun Sail (thickness
of layer 0.02) with default characteristics from the ENVI-met Material Database. In
horizontal direction, the main model area (30 x 35 m) was constructed with 60 x-
Grids and 70 y-Grids, with grid size dx, dy of 0.5 m. Around the main area 3 nesting
grids were set with nesting grid soil Profile “Default Unsealed Soil”. In vertical
direction, 30 z-Grids were used with Grid size of 0.5m. The vertical grid generation
was equidistant for the first 8 m with equal dz height and with a telescoping factor of
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20% after the height of 8 m. Geographic Properties of the model were set for grid
north and location on earth as for the location of the experimental site. The height of
the plants was uniform and set to 0.5 m with a leaf area density (LAD) value of 1,
resembling the median LAI factor of the used plants and the full coverage of the
pergola with plants after the beginning of August. The hourly meteorological data
from the on-site open area meteorological station were used to generate the forcing
file for the simulation. Weather conditions for those days were typical for a hot
humid day of August, in Arta.
A
B C
Fig. 1. 3D area input model for ENVI-met simulation. A. Satellite image of Kostakii Campus.
With marked the place of the Atrium where meteorological parameters were continuously
monitored. With marked the reference Weather Station B. Simulation of 0%, 50% and
100% area of Atrium covered by planted pergola. C. Detail of the construction of ENVI-met
model.
The model was used to predict the effects of 0%, 50% and 100% area of atrium
covered by the planted pergola of LAD 2 and the effect of a 50% atrium covered area
with LAD 2 or 5, on air temperature, relative humidity, mean radiant temperature
(Tmrt) and Physiologically Equivalent Temperature (PET). For the simulation of the
three case studies, the same hourly meteorological data from the reference weather
station were used to generate the forcing file. The simulations ran for 24 h, starting at
00:00 and ending at 23:59 of the same day. The case of 0% resemble to thermal
conditions that prevail in empty atrium, the case of 50% resemble to the real
construction project of the hydroponic pergola in the present study and 100% area of
atrium covered by the planted pergola resemble to thermal conditions if the whole
area of the atrium was covered by the planted pergola.
3 Results and Discussion
3.1 Model validation
The comparison between measured and simulated values of air temperature
observed at the height of 1.75 m for the cases with and without the planted pergola in
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the atrium is presented in Fig. 2. It can be seen that a very good agreement was found
between the measured and simulated values of air temperature. The regression lines
between measured and simulated values of air temperature for the two cases found
were:
- Empty atrium: Simulated = 0.98 Measured,
- Atrium with pergola: Simulated = 0.99 Measured,
with a determination coefficient R2 of 0.98 and 0.93, respectively.
The largest difference between the simulated and the measured air temperature
observed in the atrium was 1.1 ºC for the case without pergola in the atrium and 1.3
ºC for the case with pergola in the atrium and were observed during periods with
rapid change of climate variables.
The average daytime value of simulated air temperature in the atrium for the case
without and with pergola during the 3 days period were 29.2 ºC and 28.9 ºC while
the corresponding measured values were 29.7 ºC and 29.2 ºC.
Taking into account the above results, it could be concluded that the model fitted
with the simulation model was suitable for the present purpose.
It has to be noted that the 6 days selected for comparison with the simulated data
had similar climate conditions in the reference meteorological station. Thus any
differences observed in the microclimate conditions measured in the area of atrium
between the two cases are due to the presence of the planted pergola in the atrium.
Fig. 2. Simulated vs measured values of air temperature during three different days for the
case with or without the pergola in the atrium. Circles: atrium without the pergola; triangles:
atrium with pergola. The continue line represents the 1:1 line while the dotted lines represent
the regression lines of the data.
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Based on the differences observed in the measured values of air temperature, it
could be seen that the planted pergola resulted in a reduction of air temperature in the
atrium during daytime of about 0.5 ºC. A similar reduction was also observed when
examining the simulated values of air temperature. The relatively low effect of
pergola on the air temperature observed in the atrium could be attributed to the
relatively low leaf area of the plants grown in the pergola, the fact that the plants
used were mainly aromatic herbs, which have low transpiration rate; and the
relatively small area of the pergola in comparison to the total atrium area. However,
the planted pergola has a significant effect in the reduction of solar radiation below
the pergola and accordingly to the thermal indexes related solar radiation and
radiation temperature.
3.2 Scenarios analysis
Different scenarios studies were tested to study the effect of a planted pergola on
the microclimate observed in the atrium and the daytime and nighttime average
values of the microclimate parameters. The radiation fluxes (i.e. short wave and long
wave) absorbed by a human body and their effect on its energy balance are taken into
account through the mean radiant temperature (Tmrt) (Gulyás et al. 2006), which is
taken into account by the majority of the indices used to describe thermal comfort
(Hassaan and Mahmoud 2011). Furthermore, the thermal comfort conditions were
assessed by means of the Physiologically Equivalent Temperature (PET). The
Thermal Index PET (oC) was calculated using RayMAN pro model, Version 2.1. As
input data was used Tair, RHair and Tmrt simulated at a height of 1.25 m at the center of
the pergola and clothing factor clo=0.5 that corresponds to a standing man wearing a
trousers and a short-sleeve shirt. All other parameters were the default of the model.
The results are shown in Table 1.
Table 1. Simulated values of microclimate parameters and calculated Thermal Index PET at a
height of 1.25 m at the center of the atrium.
Case study Tair RHair Tmrt PET
Day Night Day Night Day Night Day Night
Empty atrium 29.33 21.94 55.41 85.40 38.58 11.29 35.33 17.32
Planted atrium, 50% area of
atrium covered by pergola, 28.85 20.50 57.29 92.76 31.41 11.06 30.75 16.48
LAD 2
Planted atrium, 50% area of
atrium covered by pergola, 28.75 20.75 57.86 90.80 31.02 11.54 30.50 16.81
LAD 5
Planted atrium, 100% area
of atrium covered by 28.55 20.64 58.43 91.40 29.36 11.43 29.55 16.70
pergola, LAD 2
260
It can be seen that a fully covered atrium with a planted pergola of LAD 2 resulted
in about 0.8 ºC lower air temperature during daytime and about 1.3 ºC during
nighttime. However, the significant effect of the planted pergola can be seen in the
Tmrt and PET values observed. When a planted pergola was simulated in the atrium
the Tmrt and PET values observed were much lower than those observed in the empty
atrium. The PET value observed at during the hottest part of the day in the center of
the atrium at a height of 1.25 m was 52 ºC when the atrium was empty and 36 ºC and
34 ºC when 50% or 100% of the atrium area was covered by a planted pergola,
respectively.
4 Concluding Remarks
The ENVI-met simulation program was validated using experimental data and then
used for different cases studies. Validation revealed that the air temperature values
could be efficiently simulated by the program. The case studies presented showed
that compared to the case with no pergola in the atrium, covering 100% the atrium
area with a planted pergola reduced average Tair up to 0.78oC and 1.3oC during the
day and night, respectively, while at the hottest time of day, Tmrt and the PET were
29.4oC and 17.9oC lower.
Acknowledgments. This research has been co-financed by the European Union
(European Social Fund – ESF) and Greek national funds through the Operational
Program "Education and Lifelong Learning" of the National Strategic Reference
Framework (NSRF) - Research Funding Program: ARCHIMEDES III. Investing in
knowledge society through the European Social Fund.
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