Integrated Cost Dataset
under the Whole Life Cycle of Biogas, Straw and Coal Power Generation
Wang, K.
Y.1 Wang, H. G.2*
1. School of Accounting, Zhejiang Gongshang
University, Hangzhou 310018, China;
2. School of Economics and Management, Jiangxi
Agricultural University, Nanchang 330045, China
Abstract:
We calculate the production cost
and revenue of biogas, straw and coal-fired power generation based on the 2018
research data of biogas power generation in Xinyu Nanying Reclamation Farm, the
2018 annual financial report data of Lankao Ruihua Environmental Power Co. and
Datang Huayin Power Co. and then figure out the environmental cost per unit of
power generation according to the emission inventory of biogas power
generation, straw power generation and coal-fired thermal power generation to
the environment. The integrated cost calculation dataset under the whole life
cycle of biogas, straw and coal power generation is obtained. The dataset
includes both tabular and graphic data. The table data are (1) basic data of
biogas power generation in Xinyu Nanying Reclamation Farm (2018); (2)
production cost and revenue of biogas, straw and coal-fired power generation
(2018); (3) emission inventory of straw power generation to the environment;
(4) emission inventory of biogas power generation unit electricity to the
environment; (5) emission inventory of coal-fired power generation unit
electricity to the environment; (6) emission reduction inventory of electricity
from biogas power generation units to the environment. The image data are the
information collected from the author's field research on biogas power
generation. The dataset is archived in .xlsx and .jpg data formats, and
consists of 4 data files with data size of 542 KB
Keywords: biomass power generation; life cycle evaluation; integrated
cost per unit of power generation; biogas-straw-coal
DOI: https://doi.org/10.3974/geodp.2022.01.07
CSTR: https://cstr.escience.org.cn/CSTR:20146.14.2022.01.07
Dataset Availability Statement:
The dataset
supporting this paper was published and is accessible through the Digital Journal of
Global Change Data Repository at: https://doi.org/10.3974/geodb.2021.04.03.V1 or
https://cstr.escience.org.cn/CSTR:20146.11.2021.04.03.V1.
1 Introduction
Global
warming caused by the increase of greenhouse gas concentration has caused
serious impact on the natural ecosystem and human living environment, which has
become a major problem that urgently needs to be solved in human society today.
The increase of greenhouse gas concentration is closely related to NOx,
SO2 and CO2 released by fossil fuels. It is reported that
85% of SO2, 75% of CO2, and 35% of suspended particles in
the atmosphere come from the combustion of fossils[1]. It is also
known from the 2012 statistics of China??s Annual Report on Environmental
Statistics that 7.97 million tons of SO2 and 10.187 million tons of
NOx were emitted by the power industry, and the economic losses from
these emissions were 351.78 billion and 124 billion Yuan, respectively. On
September 22, 2020, President Xi delivered
an important speech at the general debate of the 75th session of the
United Nations General Assembly, proposing that China will increase its
independent national contribution, adopt more vigorous policies and measures,
and strive to peak CO2 emissions by 2030 and strive to achieve
carbon neutrality by 2060. Therefore, the development and utilization of
biomass energy, which is resource-rich, renewable and conducive to
environmental improvement and sustainable development, has become a common
issue for the power generation industry at home and abroad[2,3]. At
present, most scholars have done a lot of research on environmental value
criteria for pollutants[4], full-cycle emission inventories for
straw, biogas and coal power generation[5?C11]. The purpose of this
paper is to compare the life-cycle costs of biogas, straw, and coal based on
literature and field research data, and to provide scientific data to support
biomass power generation subsidies, so as to realize the vision of ??green water
and green mountain is the golden mountain??.
2 Metadata of the Dataset
The metadata of Life cycle
cost dataset of biogas, straw and coal power generation dataset[12] is summarized in Table 1.
Table 1 Metadata summary of the Life cycle cost
dataset of biogas, straw and coal power generation
Items
|
Description
|
Dataset full name
|
Life cycle cost
dataset of biogas, straw and coal power generation
|
Dataset short
name
|
Cost_BiogasStrawCoal_PowerGeneration
|
Authors
|
Wang, K. Y.,
School of Accounting, Zhejiang University of Technology and Business,
657839067@qq.com
Wang, H. G.,
School of Economics and Management, Jiangxi Agricultural University,
412163218@qq.com
|
Year
|
2018 Data
format .xlsx, .jpg Data size 75.75 KB
|
Data files
|
1 data worksheet with
6 table data; 2 picture data
|
Foundations
|
National Natural
Science Foundation of China (71663030, 71963018)
|
Data publisher
|
Global Change Research Data Publishing & Repository,
http://www.geodoi.ac.cn
|
Address
|
No. 11A, Datun
Road, Chaoyang District, Beijing 100101, China
|
Data sharing
policy
|
Data from
the Global Change Research Data Publishing & Repository includes metadata, datasets
(in the Digital Journal of Global Change Data Repository), and
publications (in the Journal of Global Change Data & Discovery). Data sharing policy
includes: (1) Data are openly available and can be free downloaded via the
Internet; (2) End users are encouraged to use Data subject to
citation; (3) Users, who are by definition also value-added service
providers, are welcome to redistribute Data subject to written permission
from the GCdataPR Editorial Office and the issuance of a Data redistribution
license; and (4) If Data are used to compile new
datasets, the ??ten per cent principal?? should be followed such that Data
records utilized should not surpass 10% of the new dataset contents, while
sources should be clearly noted in suitable places in the new dataset[13]
|
Communication and searchable system
|
DOI??CSTR??Crossref??DCI??CSCD??CNKI??SciEngine??WDS/ISC??GEOSS
|
3 Data Development Methodology
3.1 Data Source
This data is based on the
2018 research data of Jiangxi Zhenghe Group Xinying Reclamation
Farm
large-scale biogas power generation base, the 2018 annual financial report data
of two listed companies, Lankao Ruihua Environmental Protection Power Co. and
Datang Huayin Power Co. , the Livestock and Poultry Farming Manure Pollution
Monitoring and Accounting Methods and Production and Emission Coefficients Manual[14]
and the existing published literature data[4?C11]. The data
development process includes: firstly, visiting power generation enterprises to
investigate technical data, economic data, equipment manufacturing data and
environmental data; secondly, collecting data published by relevant enterprises
to the public and reviewing relevant literature data to calculate the economic
cost per unit of power generation using the cost-benefit method and the
environmental cost per unit of power generation using the environmental
inventory; finally, based on the previously calculated data, the comprehensive
cost per unit of power generation is derived.
3.2 Principal of Algorithms
To
compare the integrated cost under the full life cycle of biomass and coal
carbon, firstly, the energy consumption of 1 kWh full life cycle is obtained,
then the environmental pollution emission inventory is calculated based on the
energy consumption, then the environmental cost per unit of power generation
cost is calculated based on the environmental pollution inventory and
environmental value coefficient, again, the economic cost per unit of power
generation is calculated based on the cost-benefit model, and the environmental
abatement cost is calculated based on and finally, the integrated cost under
the full life cycle of biogas, straw and coal power generation is obtained as
follows.
(1)
Environmental pollution calculation model per unit of power generation
The
environmental cost generated by power generation from different raw materials
is denoted as, and the calculation is based on the environmental pollution
inventory and environmental value coefficient obtained from the literature,
then we have equation (1).
(1)
where
j denotes a certain emitted substance, mainly 8 kinds of CO2,
SO2, NOx, CO, TSP, dust, slag, wastewater, etc; Vj
denotes the value coefficient of the j environmental pollutant; EP(j)i
denotes the j pollutant emitted in the i stage of the whole life
cycle.
(2)
Economic cost calculation model per unit of power generation
The economic
cost of power generation from different raw materials is denoted as AP(k),
then we have equation (2).
(2)
where
Q denotes the amount of electricity generated, FC denotes the
fixed cost, VC(Q) denotes the variable cost, Qm
denotes the output of the m product, and Pm denotes
the price of the m product.
(3)
Environmental pollution reduction calculation model per unit of power
generation
The
environmental benefit of emission reduction of the first type of biomass power
generation is denoted as G(k), then we have equation (3).
(3)
where
Vej is the environmental value of the j pollutant, n
is the total number of pollutants, and DQj is the emission reduction
amount of the j pollutant.
4 Data Results
4.1 Dataset
Composition
The dataset includes 1 data worksheet and 2 image
data. The data worksheet contains 6 tables of data: table 1 is the basic data of biogas power generation in Xinyu Nanying Reclamation Farm
(2018); table 2 is the production cost and revenue of biogas, straw and
coal-fired power generation (2018); table 3 is the emission inventory of straw
power generation to the environment, table
4 is the emission inventory of biogas power generation unit electricity
to the environment; table 5 is the emission inventory of coal-fired power
generation unit electricity to the
environment; table 6 is the emission reduction list of biogas power
generation units to the environment. The picture data are the information taken
by the authors during the field research in Nanying Reclamation Farm, Xinyu city,
Jiangxi province (Figure 1, 2).
Figure
1 Biogas digester
Figure 2 Biogas generator sets
|
4.2 Analysis of Data
Results
4.2.1 Cost-benefit Analysis
From
the production cost and revenue of biogas, straw and coal-fired power
generation in Table 2, it can be seen that the unit cost of the three power
generation modes are 1.03 Yuan/kWh, 0.743 Yuan/kWh and 0.41 Yuan/kWh,
respectively, and the cost of biogas power generation is 2.5 times of the cost
of coal power generation, and the cost of straw power generation is about 2
times of the cost of coal-fired power generation. In terms of the composition
of power generation costs, fuel and power costs of biogas power generation,
straw power generation and coal power generation account for 41.28%, 64.68.21%
and 70.52% of the total power generation costs, respectively; depreciation of
assets in fixed costs account for 14.07%, 10.24% and 12.57% of the total power
generation costs, respectively; financial expenses account for 13.01%, 0% and
6.12%, and administrative expenses accounted for 24.35%, 10.55%, and 1.25% of
the total generation costs, respectively. It can be seen that the installed
scale of straw and coal-fired power generation is much larger than that of
biogas power generation, and the installed scale of biogas power generation
project is relatively small so that the profitability per unit cost is weaker
than that of straw power generation and coal power generation. Therefore, the
depreciation of assets and management costs in fixed costs has a great impact
on the economic efficiency of biogas power generation. For straw power
generation and coal-fired power generation, the cost of straw fuel is higher
than coal, because the low calorific value of straw fuel is generally 8000
KJ/kg, which is much lower than coal, plus the light weight of straw, large
volume, huge transportation costs, which will lead to high fuel costs. If the
price of straw and coal continues to rise, the unit cost of power generation
will continue to increase with poor control of the three costs, such as Huayin
Power??s loss of 62.71 million Yuan in 2018 [15].
4.2.2 Ecological and Environmental Cost Analysis
From
table 3, table 4 and table 5 of the dataset, the main pollutants emitted to the
environment by three kinds of (straw, biogas and coal) power generation are CO2,
SO2, NOx, CO, TSP and dust, etc. From the emission list
of three substances for power generation, it is clear that straw power generation
is much cleaner than coal power generation, with very few pollutants,
especially SO2 emission. The ecological environmental cost per unit
of electricity generation is 0.02 Yuan for straw, 0.071 Yuan for biogas and
0.157 Yuan for coal[15].
4.2.3 Ecological Emission Reduction Benefit Analysis
CH4
is the main constituent of biogas, and its global warming effect is 25 times
higher than that of CO2. Biogas power generation is a clean
engineering, which can well deal with the waste pollutants of livestock farms,
reduce the emission of pollutant gas CH4 and COD in sewage, and the
methane and digestate can also replace the use of chemical fertilizers; straw
power generation project makes straw into a treasure, which can properly reduce
the air pollution caused by arbitrary burning, although straw will also pollute
the environment when burning for power generation, but straw will also absorb
when growing A large amount of CO2, the environment has a purifying
effect; in addition, the straw ash generated after power generation is rich in
chemical components such as potassium, magnesium, phosphorus and calcium, which
can be used as efficient agricultural fertilizer back to the field. According
to the calculation results in Table 6, it can be seen that biogas power generation
can save 0.467 Yuan/kWh in terms of unit abatement cost[15].
5 Conclusion
Using
the LCA and LCC methods to measure and evaluate the cost per 1 kWh, generation
cost and emission reduction cost of biogas and straw biomass power generation
and conventional coal power generation projects from both environmental and
economic aspects. The economic cost of coal power generation is 0.41 Yuan/kWh,
while the cost of biogas and straw power generation is 1.03 Yuan/kWh and 0.743 Yuan/kWh,
respectively, but it is significantly superior in terms of environmental
emission reduction and social benefits, if environmental externalities are
considered, the cost of coal power generation can be increased to 0.567 Yuan/kWh,
the cost of straw power generation can be increased to 0.767 Yuan/kWh, and the
cost of biogas power generation is reduced to 0.634 Yuan/kWh.
Author
Contributions
Wang,
K. Y. collected the data and wrote the data paper. Wang, H. G. designed the
algorithm and did the general design for the development of the dataset.
Conflicts of Interest
The authors declare no conflicts of interest.
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