Low Carbon Economy, 2011, 2, 159-164
doi:10.4236/lce.2011.23020 Published Online September 2011 (http://www.SciRP.org/journal/lce)
Copyright © 2011 SciRes. LCE
159
Assessment of Carbon Dioxide Reduction
Efficiency Using the Regional Carbon Neutral
Model—A Case Study in University Campus,
Taiwan
Chung-Yi Chung1*, Pei-Ling Chung2
1Department of Environmental Science and Occupational Safety and Hygiene, Tajen University, Pingtung, Chinese Taipei; 2Depar-
tment of Hospitality Management, Tajen University, Pingtung, Chinese Taipei.
Email: *cychung5501@gmail.com
Received July 8th, 2011; revised August 2nd, 2011; accepted August 12th, 2011.
ABSTRACT
A regional carbon neutral model was built to assess the balance of carbon dioxide (CO2) absorption by plants and
emission by power usage in Tajen University, in the south of Taiwan, in order to test a carbon neutral model on a
small-scale carbon neutral effect and its correlation to a large-scale forest carbon neutral effect. The number of plants
was measured to estimate the CO2 fixation volume on the Tajen University campus. The results showed that the total
CO2 absorption volume by plants was 34,800 tons during a 40-year plant life period on the campus. This absorption
capacity was over the baseline of the green building standard in Taiwan, which is 31,800 tons. The plants on the Tajen
University campus could absorb approximately 870 tons of CO2 per year. However, this was lower than the estimated
yearly CO2 emission volume of 6721 tons which was emitted from power and diesel fuel usage in the campus. In order
to reach a balance, it will be necessary to plant more trees and reduce energy usage on the campus in order to increase
CO2 absorption, and it will additionally be necessary to implement energy conservation policies to reach the goal of
regional carbon neutrality.
Keywords: Greenhouse Gas, Plant, Carbon Dioxide, Carbon Neutral
1. Introduction
In recent years, dramatic environmental changes have
caused extraordinary climate changes around the globe.
This has made countries all over the world focus on
greenhouse effect issues [1-3]. It is an important problem
that can’t be ignored because the greenhouse effect
causes global warming [4,5]. In the past century, research
and literature has concluded that carbon dioxide (CO2)
concentration increased by 28% following the industrial
revolution [6]. The global average temperature has in-
creased by 0.3˚C to 0.6˚C, and the sea level ro se 10 to 15
cm in the past 100 years. If greenhouse gas (GHG) emis-
sions continue to increase at the present rate, it is pre-
dicted that the average global temperature will increase
by about 1˚C by the year 2025, and by 3˚C at the end of
the century [7]. The increase of atmospheric GHG con-
centration results to a large extent from human activities
[8,9]. Scientists predict if no effective protection p olicies
for the environment are put into place, the global tem-
perature will increase by 1˚C to 3.5˚C, and the sea level
will increase by 15 to 95 cm. This will make many coun-
tries uninhabitable by 2100 [10]. The second assessment
report of Intergovernmental Panel on Climate Change
(IPCC) stated that the CO2 concentration in the atmos-
phere rose from 280 to 358 ppm in 1994 [11]. The World
Meteorology Organization (WMO) greenhouse gas an-
nual report in 2007 also pointed out that the CO2 concen-
tration had already risen to 383 ppm [12]. To avert global
warming, the Kyoto Protocol mentioned that plants are
the major absorbers of CO2 [13]. Therefore, forestation
has become an important subject for all countries [14].
Plants can purify the air, beautify the environment, and
absorb the CO2 in the atmosphere through photosynthesis,
transforming the CO2 into organic matter in order to store
it in the plant body [15,16]. Thus, plants have multiple
helpful environmental functions. Plants have made great
Assessment of Carbon Dioxide Reduction Efficiency Using the Regional Carbon Neutral Model—A Case Study in
160 University Campus, Taiwan
contributions to reducing the gr eenhouse effect [17].
In this research, a regional carbon neutral model was
built to assess the balance of CO2 absorption by plants
and emission by power use at the Tajen University cam-
pus, located in southern Taiwan. The goal of this re-
search was to test the carbon neutral model on a small-
scale carbon neutral effect and its correlation to a large-
scale forest carbon neutral effect.
2. Materials and Method
2.1. Green Plants on the Campus
Plants are the major CO2 absorption subjects in th is study.
To understand the CO2 reduction effect of plants on the
campus, we examined the plants and the background data
regarding the campus. In this research, the campus was
divided into nine sections marked A to I for the purpose
of counting the categories and numbers of trees in each
section which is shown in Figure 1. The trunk diameter
of each tree was measured at the 1.3 m height of the tree.
A tree was categorized as an old tree when the trunk of
the tree was over 30 cm, or the tree height was over 10 m.
The shade of an arbor was estimated as 25 m2, but the
shade of an old tree was measured by the actual projected
area of the tree crown. The shade of trees influences the
CO2 fixation volume, as described in the following sec-
tion. The tree heights, th e interv als between trees, and the
projected area of the trees were also recorded. Initially,
the school’s background data would influence the calcu-
lated results of this research, so the campus’s environ-
mental information had to be investigated. The school
background investigation items included the building
base areas, athletic fields, parking areas, and green areas,
among other relevant components.
2.2. Carbon Dioxide Fixation Volume by Plants
on the Campus
In this research, the estimation CO2 fixation volume from
plants followed the Green Building Handbook of Taiwan
Figure 1. The investigation regions in Tajen University.
(2009 edition). The CO2 absorption weight for arbors,
bushes, and grass areas were 900, 300 and 20 kg/m2, re-
spectively, as shown in Table 1. This means the CO2
absorption effect of arbors was 3 times that of bushes and
was 45 times that of grass areas. However, the complex
planted areas including the arbors, bushes, and grasses
were the most effective for CO2 fixation, with 1200
kg/m2. The total CO2 fixation volume calculation formula
is displayed in Equations (1)-(3). The shaded areas for
each tree were estimated as 25 m2, and the shade of old
trees was the actual projected tree crown areas, as men-
tioned in the prior section.
2
TCO( )
ii
GA

(1)
0.80.5 ra
 (2)
11 11
20 20
nnb nnb
ii i
ii ii
raNt NbNt Nb

 


  


 
i
(3)
where the TCO2 is the total CO2 absorption volume of
green areas (kg); Ai is the shade area of arbor (m2), and
Gi is the CO2 fixation volume in unit area for the plant
(kg/m2). The n and Nt are the kinds and numbers of tree,
respectively. The n and Nt are the kinds and numbers of
the original trees in Taiwan, respectively. The nb and Nb
are the kinds and numbers of bushes, respectively. The
nb and Nb are the kinds and numbers of original bushes
in Taiwan, respectively.
Th e minimu m CO 2 fixation volume in a region should
be over the baseline of CO2 fixation volume indicated in
the Green Building Handbook. The baseline was calcu-
lated by Equations (4) and (5).
2C
TCO1.5 (0.5)A
 (4)
0
()(1
P)
A
AA r
 (5)
where TCO2C is the baseline of CO2 fixation volume (kg)
from the Green Building Handbook. A0 is the base areas
of the investigation region (m2). AP is the area which
could not be green, such as the sports fields and track
field (m2). β is the base CO2 fixation volume in a unit
area with 500 kg/m2 and r is the building ratio with 0.4.
Table 1. The CO2 fixation volume in unit area for plant.
Category Species Gi (kg/m2)
Complex ecology arbor, bush, lawna 1200
broadleaf arbor 900
conifer arbor 600 Arbor
palms 400
Bushb 300
Vines 100
Lawn, grass, aquatic plant 20
a. The interval of trees lower than 3.5 m; b. At least 4 trees in square meter
area.
Copyright © 2011 SciRes. LCE
Assessment of Carbon Dioxide Reduction Efficiency Using the Regional Carbon Neutral Model—A Case Study in
University Campus, Taiwan
Copyright © 2011 SciRes. LCE
161
2.3. Regional Carbon Neutral Analysis indicate the CO2 differences on the campus.
2.4. Carbon Dioxide Concentration Detected on
the Campus
Plants were the major absorption source of CO2 on the
campus, and the major emission CO2 source was power
usage. A regional carbon neutral model was built in this
research to assess the balance of CO2 absorption by
plants and emission by power use at Tajen University.
The model structure is shown in Figure 2, which is
shown according to the data base of plants on the campus
discussed in the prior section and the power usage data
used to assess CO2 absorption and emission volume.
There were 62 sampling points for the purpo se of detect-
ing the CO2 concentration, which included 34 points in-
side the campus and 28 points at the boundary of the
school. The gap for each sampling point was 50 m. The
detection locations were marked by a Global Positioning
System (GPS). The CO2 concentration on the campus
was measured with a CO2 detector (KD Engineering,
USA) using a Non- di s persive Infrared (NDIR) m et hod.
At Tajen University, pow er and diesel fuel were found
to be the major CO2 emission sources. The power usage
and diesel fuel volume were measured for the purpose of
calculating the CO2 emission capacity. The CO2 emission
factor for power was 0.638 kg-CO2/degree and 2.73 kg-
CO2/L for diesel fuel. The total CO2 emission volume by
power and diesel fuel in the campus could be calculated
by Equation (6),
The detection time for each sample was 60 seconds,
and the detection range for CO2 concentration was 0 to
10,000 ppm. The CO2 concentration distribution contours
could display the CO2 differences on the campus.
3. Results and Discussion
3.1. The Plants on the Campus
2
RCO
P
Pd
Ek Ek
d
(6) As was mentioned earlier, the campus was divided into
nine sections marked A to I for the purpose of counting
the categories and numbers of trees in each section, as
shown in Table 2. The most varied of arbors was in re-
gion A with 47 different varieties of plants, then the re-
gion I with 35. Region I had the most varied of bushes
with 17, then the region A with 15. The greatest number
of arbors was in region I (331). The next greatest num-
where RCO2 is the total CO2 emission capacity (kg); Ep
and Ed are the power and diesel fuel use volume (degree
or L), and kp, kd are the CO2 emission factors for power
and diesel fuel, respectively (no dimension).
The CO2 concentration on the campus was measured
with a CO2 detector. The detection locations were marked
by a Global Positioning System (GPS), and the CO2 con-
centration distribution contours are shown in order to
Figure 2. Carbon neutral model structure.
Table 2. The categories and numbers of plants in Tajen University campus.
Region
Tree A B C D E F G H I Total
category 47 10 2429 13 29 25 28 35 88*
Arbor number 219 82 26246129141109 50 331 1333
category 15 11 3 9 11 4 2 2 17 46*
Bush area (m2) 46 12596331 15436 204 305 95 1392
a. There were some same kinds of plants in different regions, the total number was the summation of difference kinds plant in all regi ons.
Assessment of Carbon Dioxide Reduction Efficiency Using the Regional Carbon Neutral Model—A Case Study in
162 University Campus, Taiwan
bers were in r egions D and A, with 246 and 219, respec-
tively. The total number of arbors on the campus was
1333, including 88 different varieties. Among all of the
trees, the most common arbors were the Alstonia schola-
ris, Juniperus chinensis and Terminalia boivinii. The
most common bushes were the Ficus microcarpa, Ixora
williamsii and Codiaeum varirgatum. The distribution of
each kind of plant is displayed in Figure 3. The original
trees and trees unique to Taiwan were about 23% and 4%,
respectively.
3.2. Green Covering Rate
The green covering rate can indicate the regional green
situation. The largest green area on the Tajen University
campus was lawn, with an area of 33,267 m2; next was
the area of arbors, 28,904 m2, which included broadleaf
arbor (14,848 m2), conifer arbor (12,581 m2) and palms
(1475 m2). The complex ecological area was 10,200 m2,
and the bush area was 1392 m2, vines area was 230 m2.
The total green area was 73,993 m2 and the total base
area of Tajen University campus was 154,693 m2. The
green covering rate is calculated as the ratio of green area
to the base areas which was 47.8% for Tajen University.
On the Tajen University campus, the green area was 3.2
times the required green building standard. It was above
the standard of the Green Building Handbook of Taiw an,
which is 15%.
3.3. Carbon Dioxide Neutral Analysis on the
Campus
According to Equations (1-3), the total CO2 absorption
volume was 34,800 tons by plants during a 40-year pe-
riod on the Tajen University campus. The absorption
capacity was above the baseline of the green building
standard in Taiwan, which is 31,800 tons. The lawn area
was 45.0% of the total green area, but the CO2 absorptio n
volume by the lawn was only 2.0%. Figure 4 presents
the CO2 absorption of different kinds of plants on the
campus. The most efficient CO2 absorber was the com-
Figure 3. Percentages of different kinds of plants in Tajen
University.
Figure 4. CO2 absorption of different kinds of plants in
Tajen Universit.
plex ecology area, which consisted of 13.8% of the total
green area, but the CO2 absorption efficiency was 33.0%.
The broadleaf and conifer areas absorbed 40.0% and
22.8%of the CO2, respectively.
The average power and diesel fuel use on the campus
from 2006 to 2009 was 9.88 × 106 degr ee s and 1.53 × 10 5
liters per year, respectively. According to the Bureau of
Energy Ministry of Economic Affairs Taiwan (BEMEAT)
power emission report, the CO2 emission factor of power
was 0.638 kg-CO2/degree and 2.73 kg-CO2/L for diesel
fuel. The average CO2 released by volume was 6,721
tons per year on the campus, which included 93.8%
power use and 6.2% for diesel fuel. However, the total
CO2 fixation volume by plants was 870 tons per year.
The CO2 absorption capacity was 12.9% of the emis-
sion volume. Green plants could absorb about 12.9% of
the CO2 that was released on the campus.
3.4. Carbon Dioxide Distribution on the Campus
The CO2 concentration in the air of Tajen University
from Aug. 2009 to Jan. 2010 was 314 to 534 ppm. The
average CO2 concentration during this period was 387
ppm, almost the same as the WMO report from 2008,
which was 385.2 ppm. The CO2 concentration distribu-
tion is shown in Figure 5. The higher CO2 concentration
areas were concentrated in the parking lots and the
classrooms. Region A near the road and region H were
both parking lots, so CO2 concentrations were higher
there than was the case in other areas. The CO2 concen-
tration was lower in more green areas such as regions C
and F because trees can absorb CO2. The more green
areas appeared to have lower temperatures than other
areas.
4. Conclusions
In this research, a carbon neutral model was made to as-
Copyright © 2011 SciRes. LCE
Assessment of Carbon Dioxide Reduction Efficiency Using the Regional Carbon Neutral Model—A Case Study in 163
University Campus, Taiwan
unit: pp m
Figure 5. Average CO2 concentration contour in Tajen Uni-
versity from Aug. 2009 to Jan. 2010.
sess CO2 balance on the campus of Tajen University.
Available plants were the major cause of CO2 absorption.
There were 88 kinds of arbors, with a total of 1333 and
46 kinds of bushes, with a total area of 1392 m2. The
total CO2 absorption volume in the 40-year lifecycle of
trees at Tajen University was about 34,800 tons. This
was higher than the baseline of the green building stan-
dard in Taiwan (31,800 tons). Therefore, the plants on
the Tajen University campus could absorb about 870 tons
of CO2 per year. However, the CO2 absorption capacity
by plants was only 12.9% of the emission volume result-
ing from power and diesel fuel use in the campus, which
is far lower than the yearly CO2 emission volume. In
order to reach a balance of CO2 capacity, more trees need
to be planted and power and diesel fuel use needs to be
lowered. Additionally, en ergy conservation policies need
to be executed in order to achieve a goal of regional car-
bon neutrality.
REFERENCES
[1] H. J. D. Boeck, C. M. H. M. Lemmens, B. Gielen, H.
Bossuyt, S. Malchair, M. Carnol, R. Merckx, R. Ceu-
lemans and I. Nijs, “Combined Effects of Climate
Warming and Plant Diversity Loss on above and below
Ground Grassland Productivity,” Environmental and Ex-
perimental Botany, Vol. 60, No. 1, 2007, pp. 95-104.
doi:10.1016/j.envexpbot.2006.07.001
[2] B. D. Nogués, M. B. Araújo, M. P. Errea and J. P.
Martínez-Rica, “Exposure of Global Mountain Systems to
Climate Warming during the 21st Century,” Global En-
vironmental Change, Vol. 17, No. 3-4, 2007, pp. 420-428.
[3] L. R. Welp, J. T. Randerson and H. P. Liu, “The
Sensitivity of Carbon Fluxes to Spring Warming and
Summer Drought Depends on Plant Functional Type in
Boreal Forest Ecosystems,” Agricultural and Forest
Meteorology, Vol. 147, No, 3-4, 2007, pp. 172-185.
doi:10.1016/j.agrformet.2007.07.010
[4] V. A. Frolkis, I. L. Karol and A. A. Kiselev, “Global
Warming Potential, Global Warming Commitment and
Other Indexes as Characteristics of the Effects of
Greenhouse Gases on Earth’s Climate,” Ecological Indi-
cators. Vol. 2, No. 1-2, 2002, pp. 109-121.
doi:10.1016/S1470-160X(02)00047-X
[5] A. Smith, “Global Warming Damage and the Benefits of
Mitigation,” Fuel and Energy Abstracts. Vol. 37, No. 3,
1996, p. 221. doi:10.1016/0140-6701(96)89126-0
[6] Beier, B. A. Emmett, J. Peñuelas, I. K. Schmidt, A.
Tietema, M. Estiarte, P. Gundersen, L. Llorens, T. Riis-
Nielsen, A. Sowerby and A. Gorissen, “Carbon and Ni-
trogen Cycles in European Ecosystems Respond Diffe-
rently to Global Warming,” Science of the Total Envi-
ronment, Vol. 407, No. 1, 2008, pp. 692-697.
doi:10.1016/j.scitotenv.2008.10.001
[7] Intergovernmental Panel on Climate Chang (IPCC),
“Climate Change 2007: Synthesis Report—Summary for
Policymakers,” The 8th Session of Working Group II of
the IPCC, Brussels, April 2007, pp. 2-3.
[8] T. Beer, T. Grant, D. Williams and H. Watson, “Fuel-
cycle Greenhouse Gas Emissions from Alternative Fuels
in Australian Heavy Vehicles,” Atmospheric Environment,
Vol. 36, No. 4, 2002, pp. 753-763.
doi:10.1016/S1352-2310(01)00514-3
[9] H. Hayami and M. Nakamura, “Greenhouse Gas Emissions
in Canada and Japan: Sector-Specific Estimates and Ma-
nagerial and Economic Implications,” Journal of En-
vironmental Management. Vol. 85, No. 2, 2007, pp. 371-
392. doi:10.1016/j.jenvman.2006.10.002
[10] F. Georgios and C. Paul, “Global Warming and Carbon
Dioxide through Sciences,” Environment International,
Vol. 35, No. 2, 2009, pp. 390-401.
doi:10.1016/j.envint.2008.07.007
[11] Intergovernmental Panel on Climate Chang (IPCC),
“Second Assessment Synthesis of Scientific Technical
Information relevant to interpreting Article 2 of the UN
Framework Convention on Climate Change,” Intergo-
vernmental Panel on Climate Chang, Geneva,1995.
[12] World Meteorological Organization (WMO), “WMO Green-
house Gas Bulletin 2007: Atmospheric Carbon Dioxide
Levels Reach New Highs,” Geneva, 2007.
[13] K. Cha, S. Lim and T. Hur, “Eco-Effici en cy Approac h for
Global Warming in the Context of Kyoto Mechanism,”
Ecological Economics, Vol. 67, No. 2, 2008, pp. 274-280.
doi:10.1016/j.ecolecon.2007.09.016
[14] J. Guo and C. Zhou, “Greenhouse Gas Emissions and
Mitigation Measures in Chinese Agroecosystems,” Agri-
cultural and Forest Meteorology, Vol. 142, No. 2-4, 2007,
pp. 270-277.
[15] L. Chaffee, G. P. Knowles, Z. Liang, J. Zhang, P. Xiao
and P. A. Webley, “CO2 Capture by Adsor ption: Materials
and Process Development,” International Journal of Green-
house Gas Control, Vol. 1, No. 1, 2007, pp. 11-18.
doi:10.1016/S1750-5836(07)00031-X
[16] G. Pipitone and O. Bolland, “Power Generation with CO2
Capture: Technology for CO2 Purification,” International
Copyright © 2011 SciRes. LCE
Assessment of Carbon Dioxide Reduction Efficiency Using the Regional Carbon Neutral Model—A Case Study in
University Campus, Taiwan
Copyright © 2011 SciRes. LCE
164
Journal of Greenhouse Gas Control, Vol. 3, No. 5, 2009,
pp. 528-534. doi:10.1016/j.ijggc.2009.03.001
[17] K. J. Kramer, H. C. Moll and S. Nonhebel, “Total Green-
house Gas Emissions Related to the Dutch Crop Produc-
tion System Agriculture,” Ecosystems and Environment,
Vol. 72, No. 1, 1999, pp. 9-16.