SEQUENCING THE CARBON EMISSION
CYCLE OF GREEN BUILDINGS IN CHINA
BASED ON AN ECOLOGICAL CITY
PERSPECTIVE
Yujie Wang*
School of Turbine Electrical and Intelligent Engineering, Jiangsu Maritime
Vocational and Technical College, Nanjing, Jiangsu, 211100, China
100519@yzpc.edu.cn
Reception: 03/03/2023 Acceptance: 17/04/2023 Publication: 16/05/2023
Suggested citation:
Wang, Y. (2023). Sequencing the carbon emission cycle of green buildings
in China based on an ecological city perspective. 3C TIC. Cuadernos de
desarrollo aplicados a las TIC, 12(2), 117-135. https://doi.org/
10.17993/3ctic.2023.122.117-135
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ABSTRACT
As people's basic material living standards continue to rise, the demand for a better
living environment and a better life is becoming increasingly strong. Since the 18th
and 19th National Congresses of the Party proposed to carry out ecological civilization
construction and build a beautiful China, carrying out ecological city construction has
become one of the effective ways to solve the current urban development problems.
In this paper, we summarise the latest research on green building assessment
systems, life-cycle carbon emissions and life-cycle costs of buildings. We find that
China's green building assessment system still has many shortcomings compared to
the world's advanced green building assessment systems. Based on this, we have
conducted a sequencing analysis of the life cycle carbon emissions of green buildings
in China, so that buildings can meet the green building rating and at the same time
achieve energy and carbon savings. The results of the study show that the building
use phase has the highest carbon emissions in the building life cycle, accounting for
77% of the life cycle carbon emissions.
KEYWORDS
Ecological cities; green buildings; carbon emissions; cycle sequencing; accounting
INDEX
ABSTRACT
KEYWORDS
1. INTRODUCTION
2. LIFE CYCLE CARBON ACCOUNTING MODEL FOR GREEN BUILDINGS
2.1. Greenhouse gas accounting
2.2. Methodology for calculating carbon emissions at various stages of the life
cycle of a green building
2.3. Calculation of carbon emissions at the design decision stage
2.4. Calculation of carbon emissions during the production and transportation
phases of building materials
2.5. Calculation of carbon emissions during the construction phase of building
2.6. Calculation of carbon emissions during the operation and maintenance phase
2.7. Calculation of carbon emissions during the maintenance phase
2.8. Calculation of carbon emissions during the dismantling and disposal phase
3. RESULTS AND DISCUSSION
3.1. Carbon emissions during the building phase
3.2. Carbon emissions during the use phase of the building
3.3. Carbon emissions at the end-of-life stage of the building
3.4. Building Life Cycle Carbon Emissions
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4. DISCUSSION
REFERENCES
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1. INTRODUCTION
The city is a living organism, and the construction of an eco-city is aimed at
achieving the harmonious development of man and nature and establishing a virtuous
cycle of urban ecology. It emphasises the harmonious development and overall
ecology of society, economy, culture and nature [1,2]. For a long time, China's urban
construction has mainly been based on the model of rough and loose growth, which
has led to the incompatibility between urban development and ecology and
subsequently to the emergence of many urban problems. Against this background,
urban ecological civilisation has emerged as an urgent solution to urban problems and
a healthy, green living environment for human beings [3-5]. In addition, as the global
climate problem continues to be serious, people are paying more and more attention
to the issue of greenhouse gas emissions [6,7]. As the construction sector accounts
for about one-third of global greenhouse gas emissions, reducing greenhouse gas
emissions in the construction sector is a major concern worldwide. Among the
necessary ways to reduce low carbon emissions in the building sector are not only
improving building energy efficiency and reducing building energy consumption, but
also increasing research and investment in clean energy and renewable energy
technologies [8-10].
In recent years, theoretical and practical research on ecological cities has gradually
become a new direction for urban construction in the new era. In urban construction,
planners and city builders must adhere to the principle of eco-friendly construction,
strictly adhere to the 'ecological bottom line', form a rational structure of production,
living and ecological space, and improve the efficiency of land use. Supriana et al[12]
argue that a city's knowledge management system is important to encourage people
to create, share and use knowledge. Dai et al.[13] summarised different urban lighting
projects in the context of eco-city construction. They found that there are currently
three main indicators for urban lighting projects, which are energy saving,
environmental protection and intelligence. Then, based on the above research
summary, they provide an outlook on the application of artificial intelligence
technology in urban lighting engineering and put forward ideas related to the
construction of intelligent infrastructure. shu et al [14] analysed the current status of
eco-city development in China, taking the Sino-Singapore Tianjin Eco-city as an
example. They analysed the daily lifestyle of the city's residents based on the results
of several interviews and potential field observations, and found that China is
gradually beginning to pay attention to environmental protection and is striving to find
a path that harmonises economic and environmental protection. Drawing on the
experiences of international countries, China has gradually explored an eco-city
development path with Chinese characteristics. xu et al[15] studied the relationship
between urban environmental image and urban eco-efficiency and innovatively used a
national garden city image scheme to examine the improvement of eco-efficiency. The
results showed that this programme significantly improved the eco-efficiency of the
city by expanding the green area of the city, optimising the industrial structure and
bringing in talented residents. This impact was significant for western China, but
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somewhat marginal for developed eastern cities.Azambuja et al [16] found that rapid
population growth and urbanisation caused problems such as environmental pollution
and shortage of natural resources. The existence of these problems has driven a shift
from traditional urbanisation models to eco-smart cities. Based on the UN Sustainable
Development Goals, they proposed a new conceptual framework of smart sustainable
cities and elaborated on smart governance approaches to ultimately achieve
coordinated and sustainable development of economic development, ecological
civilisation construction and environmental protection. li et al[17] pointed out that
building circular economy eco-cities is the most effective way to solve the problem of
sustainable urban development. They assessed the sustainability of these cities using
an energy value approach through a study of daylighting in coastal Central and
Eastern European countries. The study shows that the utilisation rate of non-
renewable resources has a significant impact on the economic development of a city.
As the recycling rate of these non-renewable resources increases, the energy value
sustainability index and the development index first decrease and then increase,
which helps to resolve the contradiction between environmental superiority and
economic backwardness.
The construction industry is a major contributor to China's carbon emissions,
accounting for 30% to 50% of society's total carbon emissions each year. In order to
achieve the goal of carbon neutrality, the construction industry is bound to face a huge
transformation challenge. Green buildings, as a sustainable building type, are an
effective way to achieve carbon neutrality in buildings [18-22].Fan et al [23]
established a multi-objective optimisation scheme for green building modelling. The
multi-objective optimisation of the construction effect of the project was carried out by
combining the resource allocation and weather condition factors such as temperature,
humidity and precipitation of the project site. The results show that this optimisation
approach can reduce the total cost of the project and provide new ideas for the
development of unconstrained optimisation. pu et al [24] applied BIM technology to
the field of green building. bim technology can quantify and manage the life cycle of
green buildings, thus stepping out of the traditional model and making the design and
construction process more accurate. They summarised the current situation and
advantages and disadvantages of using green building and BIM in the actual
construction process, and analysed the prospects for the application of BIM
technology in the construction field. The results show that combining BIM technology
with green building and applying it in the construction field is a green path that can
make the construction process more standardised and increase the life cycle of green
buildings. yu et al [25] applied deep learning neural networks to green building energy
consumption in order to avoid problems such as local pole skewing, slow
convergence and incomplete data collection brought by traditional neural network
models data model. A generative adversarial network-based model for building energy
consumption data generation in green buildings was finally implemented. They found
that the model can learn hidden patterns in the original data and generate some
virtual data. They then validated this model with real building energy consumption
data. Ferrari et al [26] argue that in order to improve the sustainability of buildings, it is
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necessary to rate green buildings. They point out that the Level(s) proposed by the
EU in 2018 have become a common framework for assessing the sustainability
continuation of buildings across Europe, becoming a uniform standard for the
European building industry. The proposed rating system can promote competition
among those in the construction-related industries and enable the construction
industry to flourish. Ykj et al [27] developed a two-stage data mining model based on
354 building profiles and a neural network prediction model in Taiwan to analyse the
types, grades, and technologies of these buildings. The results showed that different
green buildings have different construction processes. For example, high-grade
residential communities focus more on the indoor air environment as well as the
surrounding living environment. Chen et al [28] used building-integrated photovoltaic
(BIPV) technology to reduce CO2
emissions from buildings. BIPV low-carbon design
involves five major aspects: energy, materials, environment, management and
innovation, with the first two being the main influencing factors. Accordingly, they
proposed a framework of indicators related to carbon emission control to guide the
low carbon design approach for buildings. Lu et al [29] summarised their research on
carbon emissions in the green building construction industry from three aspects:
policy, technology and management models. They found that current research
hotspots focused on life cycle modelling, energy efficiency and the environment,
which have limitations. They concluded that combining decarbonisation design into
building design is a feasible path, which can be optimally analysed by establishing a
multi-objective decision model for decarbonisation design and renewable energy.
To sum up, in order to better achieve energy saving and emission reduction in the
construction industry, the development of green buildings is comprehensively
promoted. Green building evaluation standards are a tool to measure the energy and
carbon reduction capacity of green buildings, and the higher the green building rating,
the more energy and carbon efficient the building is. However, the actual research
process has found that some buildings are obsessed with the pursuit of green building
rating, making their building carbon emissions increase instead [30-32]. In response to
the problems found, this paper injects the concept of 'eco-city' into the green building
industry. Through the study and understanding of existing eco-cities, the research
focuses on the renewal of land use in eco-cities, emphasising the importance of the
'ecological' concept. The aim is to evaluate the current state of green buildings from
an ecological perspective, without being limited to traditional evaluation methods and
renewal strategies, so that buildings can meet green building ratings while saving
energy and reducing carbon.
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Table 1. Main modes of green ecological agriculture
2. LIFE CYCLE CARBON ACCOUNTING MODEL FOR
GREEN BUILDINGS
2.1. GREENHOUSE GAS ACCOUNTING
The contribution of different greenhouse gases to global warming varies, with
carbon dioxide at 76%, methane at 14.3%, nitrous oxide at 7.9%, and other overall
contributions of less than 2%. The Intergovernmental Panel on Climate Change
(IPCC) uses the GWP of carbon dioxide as a benchmark for converting the GWP
caused by other greenhouse gases over a period of time (usually on a 100-year basis)
into carbon dioxide equivalents, using the following formula:
(1)
Among them, is the carbon dioxide equivalent of the
greenhouse gas,
is the emission of the greenhouse gas, and is the GWP value of the i
greenhouse gas.
2.2. METHODOLOGY FOR CALCULATING CARBON
EMISSIONS AT VARIOUS STAGES OF THE LIFE CYCLE
OF A GREEN BUILDING
The formula for calculating carbon emissions at each stage of the full life cycle of a
green building is as follows:
(2)
Where
denotes the carbon emissions at each stage of the full life cycle of a
green building,
denotes data on the level of direct or indirect activity throughout
the life cycle of the building, and denotes the carbon dioxide equivalent generated
per unit of building activity data, also known as the carbon emission factor.
Agricultural model Features
space-time structure
According to the biological, ecological characteristics and a
rationally formed ecosystem of mutually beneficial symbiotic
relationships between organisms
food chain A virtuous cycle agro-ecosystem designed according to the
energy flow and material cycle laws of the agro-ecosystem
Integrated spatiotemporal
food chain
The organic combination of space-time structure type and food
chain type is a mode type with moderate input, high output, less
waste, no pollution and high efficiency
CO2eqi=GMi×GWPi
CO2eqi
i
i
GWPi
C=AD ×EF
C
AD
EF
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The total carbon emissions for the life cycle of a green building are the sum of the
carbon emissions at each stage and the mathematical expression is calculated as
follows:
(3)
Of these, are carbon emissions from the design decision phase, are carbon
emissions from the production and transportation of building materials, are carbon
emissions from the construction phase, are carbon emissions from the operation
and maintenance phase and are carbon emissions from the demolition and
disposal phase.
The annual carbon emission per unit of floor area, GE is selected as the evaluation
index of life-cycle carbon emission of green buildings, and its expression is as follows.
(4)
Where Y is the full life cycle time of the building and A is the floor area.
2.3. CALCULATION OF CARBON EMISSIONS AT THE
DESIGN DECISION STAGE
In this paper, two main aspects are considered when calculating the carbon
emissions at this stage: on the one hand, the carbon emissions resulting from the
energy consumption of the designers in using the relevant equipment for the design of
the architectural drawings; on the other hand, the carbon emissions resulting from the
project-related activities occurring during the travel of the designers for the
construction project. Therefore, the formula for calculating carbon emissions at the
design decision stage is
(5)
Where is the design equipment's carbon emissions and is the travel carbon
emissions.
(6)
Where is the number of designer categories, is the number of designers in
category , is the average number of computer hours used by designers in category
, and is the carbon emission factor for computer operation.
(7)
Esum =Ed+Ept +Ec+Eom +Eend
Ed
Ept
Ec
Eom
Eend
G
E=
E
sum
Y×A
Ed=Pe+Pb
Pe
Pb
P
e=
n
i=1
DMi×Ti×EF
c
n
DMi
i
Ti
i
EFc
P
b=
n
i=1
z
j=1
Dij ×EFi,j
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Where n is the number of business trips, is the number of types of transport
taken, is the distance traveled by the business traveler in the mode of
transport, and is the carbon emission factor per unit distance for a single
person in the mode of transport.
2.4. CALCULATION OF CARBON EMISSIONS DURING THE
PRODUCTION AND TRANSPORTATION PHASES OF
BUILDING MATERIALS
The building material production and transport phase can be further divided into
material production and material transport phases. Namely
(8)
Where is the material production carbon emissions and is the material
transport carbon emissions.
(9)
Where is the number of building material types, is the amount of building
materials used in category and is the carbon emission factor for category .
(10)
Where is the number of transport mode categories, is the mass of building
materials of category transported by the th transport mode, is the average
transport distance of building materials of category transported by the transport
mode, is the empty vehicle correction factor, and is the carbon emission
factor per unit mass per unit transport distance of the transport mode.
2.5. CALCULATION OF CARBON EMISSIONS DURING THE
CONSTRUCTION PHASE OF BUILDING
During the construction phase, site formation begins and people, machinery and
materials enter the site one after another. The carbon emissions during this phase
mainly come from the carbon emissions generated during the use of machinery and
equipment on site. Therefore, the formula for calculating carbon emissions during the
construction phase is as follows
(11)
z
Dij
i
j
EFi,j
j
Ept =Pp+Pt
Pp
Pt
P
p=
n
i=1
mi×EFm
i
n
mi
i
EFmi
i
P
t=
n
i=1
z
j=1
mij ×Dij ×Ky×EFi,
j
z
mij
i
j
Dij
i
j
Ky
EFi,j
j
Ec=Pc+Pr
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Where is the carbon emissions from construction machinery and is the
carbon emissions from construction personnel.
(12)
Where is the number of machinery and equipment categories, is the number
of machinery and equipment shifts in category , and is the carbon emission
factor per unit shift of machinery and equipment in category .
(13)
Where is the number of construction personnel, is the number of man-days
and is the manual carbon emission factor.
2.6. CALCULATION OF CARBON EMISSIONS DURING THE
OPERATION AND MAINTENANCE PHASE
The operation and maintenance phase can be subdivided into an operation phase
and a maintenance phase, so the carbon emissions from the operation and
maintenance phase are made up of these two components, as in the following
equation.
(14)
Where is the operational phase carbon emissions and is the maintenance
phase carbon emissions.
(15)
Where is the number of energy types, is the annual consumption of the
energy type, is the carbon emission factor of the ith energy type, is the
annual consumption of water systems, is the carbon emission factor of water,
is the annual carbon emission of land development and use, is the annual saving of
the ith energy type, is the annual carbon reduction of greening systems, and is
the life of the building.
(16)
Where is the number of land use types, is the area of land type and is the
carbon sequestration factor for land type .
Pc
Pr
P
c=
n
i=1
TBi×EFe,
i
n
TBi
i
EFe,i
i
P
r=
n
i=1
Ti×EFr,
i
n
Ti
EFr,i
Eom =Po+Pm
Po
Pm
P
o=
(n
i=1
Ei×EFe,i+W×EFw+Pl
n
i=1
Ri×EFe,iGS
)
×Y
n
Ei
i
EFe,i
W
EFw
Pl
Ri
GS
Y
P
l=
n
i=1
Si×EFl,
i
n
Si
i
Ge,i
i
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(17)
Where is the different planting methods in the greening system, is the 40-
year carbon sequestration per unit area for the ith planting method, is the green
area for the th planting method, is the green space ratio and is the total building
site area.
2.7. CALCULATION OF CARBON EMISSIONS DURING THE
MAINTENANCE PHASE
Carbon emissions from the maintenance phase include carbon emissions from the
production of building materials and the energy consumption of machinery and
equipment used for transport and maintenance, resulting from the aging of building
materials or components.
(18)
(19)
(20)
Where is the type of maintenance material, is the mass of maintenance
material of category , is the carbon emission factor of maintenance material of
category .
is the transportation carbon emission of maintenance material of
category , is the maintenance factor of maintenance material of category i. is
the number of maintenance equipment shifts of category , is the carbon
emission factor per unit shift of category maintenance equipment, is the
transport quality of the th transport mode of the maintenance material of category .
is the transport distance of the th transport mode of the maintenance material of
category , is the empty vehicle correction factor, is the carbon emission
factor of the transport mode, is the service life of the building design, and is the
service life of the building material.
2.8. CALCULATION OF CARBON EMISSIONS DURING THE
DISMANTLING AND DISPOSAL PHASE
(21)
Where is construction demolition carbon emissions, is construction waste
transportation carbon emissions, is construction waste disposal (including landfill
G
S=
n
i=1
G
e,i
×A
e,i
600 ×R×A
s
40
n
Ge,i
Ae,i
i
R
As
P
m=
n
i=1
(ms,i×EFm,i+Pt,i)×ki+
q
k=1
TBk×EFe,
k
P
t,i=
z
j=1
mij ×Dij ×Ky×EFt,
j
k
i=
Y
Ym
1
n
ms,i
i
EFm,i
i
ki
i
TBk
k
EFe,k
k
mi,j
j
i
Di,j
j
i
Ky
EFt,i
j
Y
Ym
Eend =Qc+Qt+Qh+Qm
Qc
Qt
Qh
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and incineration) carbon emissions and
is construction waste recycling carbon
emissions.
This section establishes a life cycle carbon accounting model for green buildings
based on the life cycle assessment (LCA) approach. The purpose and scope of
accounting for green building life-cycle carbon emissions, system boundaries, and
functional units are firstly determined. This is followed by an analysis of the sources of
green building carbon emissions in five stages of the building life cycle: design
decision, production and transportation of building materials, construction, operation
and maintenance, and demolition and disposal, and the establishment of a carbon
emission calculation method for each stage. A theoretical model is established for the
subsequent discussion.
3. RESULTS AND DISCUSSION
This paper analyses a typical case of a residential community in a city in China,
which covers an area of 28,000 square metres, with a building area of 76,500 square
metres and a green space ratio of 48%. There are eight high-rise residential buildings
in it.
In this paper, we analyse one of the green buildings in the context of an eco-city,
and analyse its carbon emission cycle sequencing. The residential building is 18
storeys above ground, with a building height of 55.35m; reinforced concrete shear wall
structure, seismic intensity 8 degrees; there are 4 units, each with one staircase and
two households. Each unit has a floor area of 101.4 square metres, with a total of 144
residences and a total floor area of 16,432 square metres. The building has a total
floor area of 5,658 square metres and 2,320 square metres of green space (densely
planted bushes). The carbon emissions of the building were calculated for the entire
life cycle of the building by separating the building phase, the building use phase and
the end-of-life phase of the building. The highest carbon emissions were analysed to
provide theoretical guidance for energy saving and emission reduction in green
buildings.
3.1. CARBON EMISSIONS DURING THE BUILDING PHASE
The residential building was completed as a rough building, so the main statistics
are for the materials used in the civil construction and installation of the building. The
carbon emissions per unit area produced at each stage of the building, including the
extraction of raw materials, production of building materials, on-site processing of
components, construction and installation, land use and the buildingisation stage,
were also counted. The statistical results are shown in Table 1 below.
According to the definition of greenhouse gases, greenhouse gases from the
combustion of fossil fuels and land use during the on-site processing of components,
construction and installation sub-stage of the physical phase are classified as direct
Qm
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emissions. The greenhouse gas emissions from the use of electricity in the on-site
processing of components, construction and installation sub-stage and the
greenhouse gas emissions from the extraction of raw materials and the production of
building materials are classified as indirect emissions. Based on the calculations, it
can be concluded that the sub-stage with the highest proportion of carbon emissions
in the physical phase of the building is the land use, followed by the production of
building materials and the extraction of raw materials, which account for 94% of the
physical phase, while the construction phase only accounts for 6% of the total carbon
emissions. Direct carbon emissions in the physical phase account for about 41%;
indirect carbon emissions account for about 59%.
Table 2. Carbon emission statistics per unit area for each sub-stage in the physical phase of
the building
3.2. CARBON EMISSIONS DURING THE USE PHASE OF
THE BUILDING
Carbon emissions from the day-to-day operation of buildings include greenhouse
gas emissions directly or indirectly from the (1) use phase of buildings due to the
consumption of energy such as fossil fuels, electricity and heat, (2) the use and
discharge of water resources, and (3) the leakage of refrigerants. In residential
buildings energy consumption specifically includes elements such as heating, air
conditioning, lighting, lifts, other appliances, natural gas for cooking and domestic hot
water.
The residential building is heated in winter by a natural gas wall-hung stove as the
heat source and radiant floor heating as the end; in summer the cooling is by split type
air conditioning. The thermal efficiency of the natural gas fireplace is 91% and the
electrical power of the circulating water pump is 130 W. The split air conditioner is
energy efficiency class 2 with an energy efficiency ratio of 3.4. The heating period is
from November 15 to March 15 and the air conditioning period is from June 15 to
August 31. The electricity consumption of lighting equipment accounts for a significant
(kgCO2e/m2)
Stage Total calculation
Raw material extraction 185 5.08 5 195
Building material production 253 633 1.03 254
On-site machining of structural components 8.34 263 176 8.78
Construction and installation 42.9 1.36 904 45.2
Land use 317 0 0 317
Building materialisation phase 806 7.33 7.11 820
N2O
CH4
CO2
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proportion of the life-cycle energy use of a home, and the energy consumption of
lighting equipment is closely related to the choice of lighting and usage habits. The
power consumption of lighting equipment can be calculated as the product of building
lighting power density and lighting time. According to the Building Lighting Design
Standard GB 50034-2004, the annual lighting energy consumption of the residential
building can be calculated as the remaining carbon emissions of each building's daily
use as shown in Table 2.
Table 2 shows that air conditioning and heating are the largest contributors to
carbon emissions, with a combined total of 42%; refrigerants, although smaller in
mass, account for 25% of carbon emissions during the building use phase due to their
large GWP values; and water supply and drainage also contribute 5% of carbon
emissions and cannot be ignored. According to the definition of greenhouse gases,
carbon emissions from the combustion of natural gas and refrigerant leakage during
the daily use phase of the building are direct emissions, while carbon emissions from
electricity and water supply and drainage are indirect emissions. According to the
calculations, direct emissions are 30% higher than indirect emissions.
Table 3. Greenhouse gas emissions during the use phase of residential buildings
3.3. CARBON EMISSIONS AT THE END-OF-LIFE STAGE OF
THE BUILDING
According to the national standard, the carbon emissions of building demolition,
recycling/reuse of building materials/equipment and waste disposal can be calculated
separately. The total carbon emissions from the demolition of the building are 40.7
(kgCO2e/m2)
Projects HFC Total
Heating 599 262 1.03 0 600
Refrigeration 377 0.0988 1.69 0 379
Elevator 110 0.0289 493 0 111
Lighting 271 71 1.21 0 273
Other household
appliances 157 0.0411 701 0 158
Domestic gas 126 0.0627 0.0974 0 126
Drainage 85.6 0.00794 135 0 85.7
Refrigerant 0 0 0 587 587
Total 1730 573 5.35 587 2320
CO2
CH4
N2O
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, the total carbon emissions from the recycling/reuse phase are 41.3
, and the total carbon emissions from the waste disposal phase are 8.32
. Therefore, it can be found that the carbon emissions from the end-of-
life phase of the building mainly come from the demolition and recycling/reuse phases
of the building.
3.4. BUILDING LIFE CYCLE CARBON EMISSIONS
The carbon emissions of the residential building in each sub-stage of its life cycle
are shown in Table 3. The life-cycle carbon emission of the building is about 4000
, and its carbon footprint is 80
. From Table 3, it can be
seen that the highest carbon emission in the whole life-cycle of the residential building
is the daily operation stage of the building, which reaches 2320, accounting for
58.03% of the whole life-cycle carbon emission. This is followed by the land use,
building repair, building materials production and building renovation phases, which
generate 7.93%, 6.60%, 6.35% and 6.30% of the carbon emissions of the whole life
cycle, respectively.
Table 3. Carbon emissions of residential building life cycle sub-stages ( )
The proportion of carbon emissions from each sub-stage of the building's life cycle
is shown in Figure 1. It can be seen from the figure that the proportion of carbon
emissions from the daily operation of the residential building is the largest, reaching
kgCO2e/m2
kgCO2e/m2
kgCO2e/m2
kgCO2e/m2
kgCO2e/m2
Stage HFC Total
Raw Material Mining 185 5.08 5 0 195
Building materials production 253 633 1.03 0 254
On-site processing of structural parts 8.34 263 176 0 8.78
Construction and Installation 42.9 1.36 904 0 45.2
Land Use 317 0 0 0 317
Daily operation of the building 1730 573 5.35 587 2320
Building Maintenance 48.9 733 711 0 50.3
Building Restoration 257 3.85 3.73 0 264
Building Updates 196 2.93 2.84 0 201
Building renovation 244 3.66 3.56 0 252
Demolition of buildings 38.7 1.22 814 0 40.7
Recycling/reuse 36.2 941 4.15 0 41.3
Waste disposal 8.3 0.00772 0.0207 0 8.32
Full Lifecycle 3360 21.2 28.3 587 4000
N2O
CO2
CH4
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58%, while the whole building use phase accounts for 77% of the life-cycle carbon
emissions, reaching 3087 . Carbon emissions from the physical phase of
the building account for 20.5% of the life-cycle carbon emissions, at 820
. The carbon emissions from the end-of-life phase of the building account
for 2.2% of the life-cycle carbon emissions, at 91 .
Figure 1. Carbon emissions in the three main stages of the life cycle of a residential building
In summary, the carbon emissions of this residential building were calculated for
the three phases of building construction, building use and building end of life, and the
highest carbon emissions were found in the building use phase, accounting for 77% of
the life cycle carbon emissions. Therefore, in order to reduce carbon emissions, we
can start from the use phase of the building.
4. DISCUSSION
In this paper, a typical case study of a mobile high-rise building in a residential
community in a Chinese city is analyzed in the context of eco-city. The carbon
emissions of the building are calculated in the building construction phase, the
building use phase and the building end-of-life phase, and thus the carbon emissions
of the building throughout its life cycle are calculated. The highest carbon emissions
were analyzed to provide theoretical guidance for energy saving and emission
reduction of green buildings. The results of the study are as follows.
1. In the building materialization stage, the sub-stage with the highest proportion
of carbon emissions in the building materialization stage is land use, followed
kgCO2e/m2
kgCO2e/m2
kgCO2e/m2
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by building materials production and raw materials extraction, which account
for 94% of the materialization stage, while the total carbon emissions in the
construction stage account for only 6%.
2.
In the building use phase, the most carbon emissions are generated by air
conditioning and heating energy, the sum of which reaches 42%; although the
refrigerant mass is small, the proportion of carbon emissions generated by it
accounts for 25% in the building use phase due to its large GWP value.
3.
In the end-of-life stage of the building, the total carbon emission from the
demolition of the building is 40.7 , the total carbon emission from
the recycling/reuse stage is 41.3
, and the total carbon emission
from the waste disposal stage is 8.32
. Therefore, the carbon
emissions in the end-of-life stage of the building mainly come from the
demolition and recycling/reuse stages of the building. In addition, the carbon
emissions from the building use phase are the highest in the building life cycle,
accounting for 77% of the life cycle carbon emissions.
REFERENCES
(1) Deng, W., Cheshmehzangi, A., Ma, Y., & Otmani del Barrio, J. (2021). Promoting
sustainability through governance of eco-city indicators: A multi-spatial
perspective. International Journal of Low-Carbon Technologies, 16.
(2)
Brum, P. H. R., Gonalves, S. R. A., C. Strüssmann, & Teixido, A. L. (2022). A
global assessment of research on urban ecology of reptiles: patterns, gaps and
future directions. Animal Conservation.
(3)
Rossanet, K., Reyes-Novelo, E., Lugo-Caballero, C., Cuxim-Koyoc, A. D., &
Ruiz-Pia, H. A. (2021). Urban ecology of hosts and vectors of rickettsia in a
rickettsiosis-endemic city of the Yucatan Peninsula, Mexico. Acta Tropica.
(4)
Nugent, A., & Allison, S. D. (2022). A framework for soil microbial ecology in
urban ecosystems. Ecosphere, 13.
(5) Sonti, N. F., Pregitzer, C. C., & Hallett, R. A. (2022). Native tree seedling growth
and physiology respond to variable soil conditions of urban natural areas.
Restoration Ecology.
(6)
Allison, S. D., & Nugent, A. (2022). A framework for soil microbial ecology in
urban ecosystems. Ecosphere, 13(3), n/a-n/a.
(7)
Aghayeva, N. (2021). Regeneration of the architectural heritage of cities based
on urban ecology. Geometriae Dedicata.
(8)
Zhou, J., Wei, J., Yang, T., et al. (2021). Seepage channel development in the
crown pillar: Insights from induced microseismicity. International Journal of Rock
Mechanics and Mining Sciences, 145.
(9)
Collins, M. K., Magle, S. B., & Gallo, T. (2021). Global trends in urban wildlife
ecology and conservation. Biological Conservation, 261(2), 109236.
(10)
Reut, V., & Oded, B. T. (2022). Environmental variability as a predictor of
behavioral flexibility in urban environments. Behavioral Ecology.
kgCO2e/m2
kgCO2e/m2
kgCO2e/m2
https://doi.org/10.17993/3ctic.2023.122.117-135
3C TIC. Cuadernos de desarrollo aplicados a las TIC. ISSN: 2254-6529
Ed.43 | Iss.12 | N.2 April - June 2023
133
(11)
Huan, Q. (2021). China's Environmental Protection in the New Era from the
Perspective of Eco-Civilization Construction.
(12)
Supriana, C. E. (2021). Designing knowledge sharing systems to support
integrated eco-city planning and management. IOP Conference Series: Earth
and Environmental Science, 737(1), 012006.
(13)
Dai, W., & Xu, B. (2020). Exploration of Urban Lighting Design in the Context of
Eco-city Construction. Electrical Technology of Intelligent Buildings.
(14)
Shuhang, R., Xiu, H., et al. (2020). An evaluation of Chinese eco-city
development based on daily lifestyle study: Taking Sino-Singapore Tianjin Eco-
city as a case study.
(15)
Xu, S., & Wang, C. (2021). City image and eco-efficiency: evidence from China.
Environmental Science and Pollution Research.
(16)
Azambuja, L., Pereira, G. V., Krimmer, R. (2020). Clearing the existing fog over
the smart sustainable city concept: highlighting the importance of governance. In
International Conference on Theory and Practice of Electronic Governance
(ICEGOV).
(17)
Li, J., Sun, W., Song, H., et al. (2021). Toward the construction of a circular
economy eco-city: An emergy-based sustainability evaluation of Rizhao city in
China. Sustainable Cities and Society, 71(1), 102956.
(18)
Albert Ping Chuen Chan, Darko, A., Olanipekun, A. O., et al. (2018). Critical
barriers to green building technologies adoption in developing countries: The
case of Ghana. Journal of Cleaner Production.
(19)
Alohan, E. O., Kolawole, O. A. (2021). Hindrance and Benefits to Green Building
Implementation: Evidence from Benin City, Nigeria. Real Estate Management
and Valuation, 29.
(20)
Yanhui, Mao, Xuemei, et al. (2018). Carbon Emission-Based Measurement Of
Floor Area Ratio Bonus For Residential Green Buildings In China. Journal of
Green Building.
(21)
Tan, X., Lai, H., Gu, B., et al. (2018). Carbon emission and abatement potential
outlook in China's building sector through 2050. Energy Policy, 118, 429-439.
(22)
Chen, X. (2019). Discussion on Economic Benefits of Green Buildings to
Ecological Environment. Environmental Science and Management.
(23)
Fan, M., Su, D., Bhatt, M. W., et al. (2022). Study on non-linear planning model
of green building energy consumption under multi-objective optimization.
International Journal of System Assurance Engineering and Management, 13.
(24)
Pu, L., Wang, Y. (2021). The Combination of BIM Technology with the Whole Life
Cycle of Green Building, 9(3), 10.
(25)
Yu, M., Li, L., Guo, Z. (2022). Model analysis of energy consumption data for
green building using deep learning neural network. International Journal of Low-
Carbon Technologies.
(26)
Ferrari, S., Zoghi, M., T Blázquez, et al. (2022). New Level(s) framework:
Assessing the affinity between the main international Green Building Rating
Systems and the European scheme. Renewable and Sustainable Energy
Reviews, 155.
https://doi.org/10.17993/3ctic.2023.122.117-135
3C TIC. Cuadernos de desarrollo aplicados a las TIC. ISSN: 2254-6529
Ed.43 | Iss.12 | N.2 April - June 2023
134
(27)
Ykj, A., Phl, B. (2021). Applying data mining techniques to explore technology
adoptions, grades, and costs of green building projects.
(28)
Chen, J. (2021). Low-Carbon Design Path of Building Integrated Photovoltaics: A
Comparative Study Based on Green Building Rating Systems. Buildings, 11.
(29)
Lu, W., Tam, V., Chen, H., et al. (2020). A holistic review of research on carbon
emissions of the green building construction industry. Engineering Construction
& Architectural Management, ahead-of-print(ahead-of-print).
(30)
Yan, C. H., Co, H. S., Ltd. (2018). Improve Green Building Quality, Promote
Energy Conservation and Emission Reduction, and Low-Carbon Development.
Intelligent Building & Smart City.
(31)
Jing, L. (2018). Research on the development status and trend of green building
under the concept of low carbon. Jiangsu Science & Technology Information.
(32)
Liu, C. (2021). Precision algorithms in second-order fractional differential
equations. Applied Mathematics and Nonlinear Sciences. doi:10.2478/
AMNS.2021.2.0015.
https://doi.org/10.17993/3ctic.2023.122.117-135
3C TIC. Cuadernos de desarrollo aplicados a las TIC. ISSN: 2254-6529
Ed.43 | Iss.12 | N.2 April - June 2023
135