CN110942217B - Method and system for constructing zero-carbon green energy system - Google Patents

Method and system for constructing zero-carbon green energy system Download PDF

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CN110942217B
CN110942217B CN201811109681.XA CN201811109681A CN110942217B CN 110942217 B CN110942217 B CN 110942217B CN 201811109681 A CN201811109681 A CN 201811109681A CN 110942217 B CN110942217 B CN 110942217B
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周锦明
郭焦锋
于金星
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Sino Geophysical Co ltd
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Abstract

A method of constructing a zero-carbon green energy system, comprising, the energy supply system comprising a first energy source and a second energy source; predicting energy demand information of a certain time period as first information; predicting energy supply information of the certain time period as second information; and adjusting the energy supply system according to the first information and the second information to enable the first energy to gradually replace the second energy. The method predicts energy supply information and energy demand information of a certain time period in the future, reasonably allocates the proportion of various energy types of the existing energy system on the premise of meeting the current energy utilization and gradually increased energy demand, and gradually utilizes green energy to replace non-green energy; the invention reasonably determines the type and the quantity of the alternative energy according to the comprehensive consideration of the two aspects of the conversion efficiency of the energy and the supply increment of the energy, so that the substitution of the green energy is more scientific and reasonable.

Description

Method and system for constructing zero-carbon green energy system
Technical Field
The present invention relates to the field of energy system planning, and more particularly, to a method and a system for constructing an energy system.
Background
Green energy, also called clean energy, is a symbol and synonym for environmental protection and good ecosystem. It can be divided into two concepts of narrow and broad. The green energy in a narrow sense means renewable energy such as water energy, biological energy, solar energy, wind energy, geothermal energy, and ocean energy. These energy requirements can then be restored for replenishment with little pollution. The broad green energy source includes the energy sources with low pollution or no pollution to the ecological environment, such as natural gas, clean coal, nuclear energy and the like, which are selected in the production and consumption processes of the energy sources.
The development of green energy is a fundamental strategy for promoting scientific development and changing development modes, and the establishment of a zero-carbon intelligent green energy system is urgent.
At present, in energy utilization in cities, various energy types are supplied together, and the utilization of clean energy or green energy to replace non-green energy is an important aspect for building green cities. On the premise of not influencing the current energy utilization and the gradual increase of energy demand, the gradual utilization of green energy to replace non-green energy is an urgent problem to be solved. On the other hand, how to reasonably solve the energy replacement according to the existing energy supply structure is also one of the problems to be solved urgently.
Disclosure of Invention
The invention aims to solve the problems that on the premise of not influencing the current energy utilization and the gradually increased energy demand, the proportion of various energy types of the existing energy system is reasonably allocated, green energy is gradually utilized to replace non-green energy, and a zero-carbon intelligent green energy system is constructed.
In order to solve the problems, the invention provides a method for constructing a zero-carbon green energy system, which comprises the following steps of enabling the energy supply system to comprise a first energy source and a second energy source; step S1, predicting energy demand information in a certain time period as first information; step S2, predicting the energy supply information of the certain time period as second information; and S3, adjusting the energy supply system according to the first information and the second information to enable the first energy to gradually replace the second energy.
According to one embodiment of the invention, the first energy source comprises one or more of the following types of energy sources: geothermal energy, photovoltaic energy, biomass, hydrogen energy, wind energy and outsourcing green electricity; the second energy source comprises one or more of the following types of energy sources: petroleum, natural gas, coal.
According to an embodiment of the present invention, the second information includes an energy supply type, quantity, and supply growth rate; the first information includes energy demand type, quantity, and demand growth rate.
According to one embodiment of the invention, the energy demand types include electricity, heating, cooling, and fuel.
According to one embodiment of the invention, the main body of the energy demand is assumed to comprise i types, i is more than or equal to 1 and less than or equal to n, wherein n is an integer which is more than or equal to 1, and i is an integer;
respectively acquiring the energy demand, the energy demand type and the demand growth speed of each energy demand subject, predicting the total demand of a certain energy demand type according to the following formula,
Figure GDA0004045208480000021
wherein A is the total demand of a certain energy source required by each energy source demand principal;
a i energy demand for a subject of demand;
v i the rate of increase in energy demand for a subject of demand;
t is time;
Figure GDA0004045208480000023
the weight coefficient represents the proportion of the energy demand of a certain demand subject in the total demand energy.
According to one embodiment of the invention, the total demand of the certain energy demand type is matched with the energy supply of the energy supply system; determining a first priority level of each energy type in the first energy according to the growth speed of the first energy in the energy supply system; and replacing the second energy source with an energy source having a first higher priority.
According to one embodiment of the invention, the conversion coefficient of the energy demand type corresponding to each energy supply type is obtained according to different energy demand types, and then the second priority of each energy supply type is obtained.
According to one embodiment of the invention, the type of the alternative energy source is determined jointly from the first priority level and the second priority level: setting three current energy supply types, namely X, Y and Z, wherein the supply quantity is X, Y and Z in sequence; the corresponding first priority levels are respectively b, b 'and b' in sequence; the corresponding second priority levels are c, c 'and c' in sequence; the following priority levels are derived for each of the data streams,
priority level
Figure GDA0004045208480000022
Priority level
Figure GDA0004045208480000031
Priority level
Figure GDA0004045208480000032
Wherein, alpha, beta and gamma respectively represent weighted priority levels of x, y and z in turn; ω and
Figure GDA0004045208480000033
a weighting constant is indicated, indicating the weight of the first priority level and the second priority level in the weighted priority levels.
According to one embodiment of the invention, the number of replacement energy sources is derived from the following equation: setting the current supply quantities of the energy sources X, Y and Z as X, Y and Z in sequence, the corresponding first priority levels as b, b 'and b' in sequence, the corresponding second priority levels as c, c 'and c' in sequence, the total quantity of the energy sources to be provided is A,
a = c (x + Δ x) + c' (y + Δ y) + c ″ (z + Δ z), where Δ x = f (b), Δ y = f (b) ′ )，Δz＝f(b″)
Wherein, the corresponding energy source variables are respectively Δ x, Δ y, Δ z in turn, which is the number of the alternative energy sources.
According to another aspect of the invention, a system for constructing a zero-carbon green energy system is provided, which includes a first information obtaining module 1, a second information obtaining module 2, and an energy supply allocating module 3, where the first information obtaining module 1 is configured to predict energy demand information in a certain time period as first information; the second information obtaining module 2 is configured to predict the energy supply information of the certain time period as second information; the energy supply and allocation module 3 is used for the energy supply system comprising a first energy source and a second energy source; and adjusting the energy supply system according to the first information and the second information to enable the first energy to gradually replace the second energy.
The method predicts the energy supply information and the energy demand information of a certain time period in the future according to the current energy supply information and the energy demand information, reasonably allocates the proportion of various energy types of the current energy system on the premise of not influencing the current energy utilization and the gradually increased energy demand, and gradually utilizes green energy to replace non-green energy; on the other hand, the invention reasonably determines the type and the quantity of the alternative energy according to the comprehensive consideration of the conversion efficiency of the energy and the supply increment of the energy, so that the green energy is replaced more scientifically and reasonably.
Drawings
FIG. 1 is a schematic diagram of a system for constructing a zero-carbon green energy system;
FIG. 2 is a schematic illustration of matching energy supply to energy demand over a period of time;
FIG. 3 is a schematic diagram of the steps of a method of constructing a zero-carbon green energy system; and
fig. 4 shows a schematic diagram of a zero-carbon smart green energy system constructed by the present invention.
Detailed Description
In the following detailed description of the preferred embodiments of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown by way of illustration, specific features of the invention, such that the advantages and features of the invention may be more readily understood and appreciated. The following description is an embodiment of the claimed invention, and other embodiments not specifically described in connection with the claims also fall within the scope of the claims.
Fig. 1 shows a schematic diagram of a system for constructing a zero-carbon green energy system.
As shown in fig. 1, a system for constructing a zero-carbon green energy system includes a first information obtaining module 1, a second information obtaining module 2, and an energy supply allocating module 3, where the first information obtaining module 1 is configured to predict energy demand information in a certain time period as first information; the second information obtaining module 2 is configured to predict the energy supply information of the certain time period as second information; the energy supply and allocation module 3 is used for the energy supply system comprising a first energy source and a second energy source; and adjusting the energy supply system according to the first information and the second information to enable the first energy to gradually replace the second energy.
In the existing energy system, two types of energy can be divided according to the characteristics of energy, including the first energy and the second energy, wherein the first energy is green energy, and the second energy is non-green energy.
The first information acquisition module and the second information acquisition module may adopt a trend method, an elastic coefficient method, and other methods for predicting energy demand information or energy supply information of a certain period of time in the future. Other existing methods may also be used for prediction, and the invention is not limited.
The trend method is that the actual energy consumption in each historical period is used as a basis, data are processed by a mathematical statistics method, and the future energy demand range is presumed by trend analysis. The elastic coefficient method is to reflect the relative influence degree of the economic growth rate and the change rate of the energy price on the energy demand rate in the form of elastic coefficient.
Fig. 2 shows a schematic diagram of the matching of energy supply and energy demand for a certain time period.
As shown in fig. 2, the drawing is divided into two parts, a supply side and a demand side. The types of energy supplies obtained in a system are: geothermal energy, photovoltaic energy, biomass energy, hydrogen energy and outsourcing green electricity, and corresponding marks are arranged on the supply side. The second information acquisition module firstly acquires information such as the current energy supply type, quantity and supply growth speed. The outsourcing of green electricity refers to electric energy which is introduced from other places and obtained by depending on a green production mode.
The energy supply situation is detailed in table 1:
table 1.
Type of energy supply Number of
Geothermal energy 101.6
Natural gas 125.1
Photovoltaic system 9.3
Biomass 5.3
Hydrogen energy 4.9
Shopping green electricity 80.4
In table 1, the classification is made according to the type of energy sources, the first energy source includes geothermal energy, photovoltaic, biomass, hydrogen energy; the second energy source comprises natural gas; green electricity is purchased as a supplement when adjusting the ratio of the first energy source to the second energy source.
Based on the current energy supply type and amount shown in table 1, the amount of energy supply for a certain period of time in the future is predicted in conjunction with the energy increase rate, resulting in the data shown in table 2.
Table 2.
Figure GDA0004045208480000051
On the other hand, the energy demand and the increase rate on the demand side need to be acquired. Table 3 shows the energy demand amount on the energy demand side.
Table 3.
Figure GDA0004045208480000052
As shown in tables 2 and 3, when the predicted amount of energy supply is greater than the predicted amount of energy demand, the adjustment of energy may be performed.
The growth rates of the energy types in table 1 were ranked to obtain the first priority of each energy type, i.e., geothermal energy > photovoltaic > hydrogen energy > biomass.
Further, in determining the predicted amount of energy supply and the predicted amount of energy demand, conversion efficiency between different energy forms needs to be considered. As in the refrigeration of fig. 4, the demand is 57.8 units, the three energy sources are converted into refrigeration, and the energy conversion efficiency is different.
Table 4.
Figure GDA0004045208480000061
The energy demand in table 3 is considered for different energy demand types.
Taking the power supply as an example, the total power demand is 130.2 units, 124.9 units for direct power supply and 5.3 units for refrigeration.
In 130.2 units of electrical energy demand, supply side: geothermal energy accounts for 0.8 unit, natural gas accounts for 37.9 units, photovoltaics accounts for 9.3 units, biomass energy accounts for 1.8 units, and outsourcing green electricity accounts for 80.4 units.
And sequencing conversion coefficients of the geothermal energy, the photovoltaics and the biomass relative to the electric energy to obtain a second priority level, namely the photovoltaics are larger than the biomass and the geothermal energy.
Based on the first priority and the second priority, determining the priority of each first energy source with the required energy type as electric energy according to the following formula:
setting three current energy supply types, namely X, Y and Z, wherein the supply quantity is X, Y and Z in sequence; the corresponding first priority levels are respectively b, b 'and b' in sequence; the corresponding second priority levels are c, c 'and c' in sequence; the following priority levels are derived,
priority level
Figure GDA0004045208480000062
Priority level
Figure GDA0004045208480000063
Priority level
Figure GDA0004045208480000064
Wherein, alpha, beta and gamma respectively represent weighted priority levels of x, y and z in turn; ω and
Figure GDA0004045208480000065
a weighting constant is indicated, indicating the weight of the first priority level and the second priority level in the weighted priority levels.
Further, the number of the alternative energy sources is obtained according to the following formula:
setting the current energy supply amounts of X, Y and Z as X, Y and Z in turn, the corresponding first priority levels as b, b 'and b' in turn, the corresponding second priority levels as c, c 'and c' in turn, the total amount of energy to be supplied as A,
a = c (x + Δ x) + c ' (y + Δ y) + c "(z + Δ z), where Δ x = f (b), Δ y = f (b '), Δ z = f (b ')
Wherein, the corresponding energy source variables are respectively Δ x, Δ y, Δ z in turn, which is the number of the alternative energy sources.
Fig. 3 shows a schematic diagram of the steps of a method of constructing a zero-carbon green energy system.
As shown in fig. 3, a method of constructing a zero-carbon green energy system includes the energy supply system including a first energy source and a second energy source; step S1, predicting energy demand information in a certain time period as first information; step S2, predicting the energy supply information of the certain time period as second information; and S3, adjusting the energy supply system according to the first information and the second information to enable the first energy to gradually replace the second energy.
According to one embodiment of the invention, the first energy source comprises one or more of the following types of energy sources: geothermal energy, photovoltaic energy, biomass energy, hydrogen energy, wind energy and outsourcing green electricity; the second energy source comprises one or more of the following types of energy sources: petroleum, natural gas, coal.
The first energy source is a clean energy source or a green energy source, and may also include other available energy forms.
According to an embodiment of the present invention, the second information includes an energy supply type, quantity, and supply growth rate; the first information includes an energy demand type, quantity, and demand growth rate.
According to one embodiment of the invention, the energy demand type includes, but is not limited to, electricity, heating, cooling, fuel.
According to one embodiment of the invention, the method assumes that the main body of the energy demand includes i types, i is greater than or equal to 1 and less than or equal to n, wherein n is an integer greater than or equal to 1; respectively acquiring the energy demand, the energy demand type and the demand growth speed of each energy demand subject, predicting the total demand of a certain energy demand type according to the following formula,
Figure GDA0004045208480000071
wherein A is the total demand of a certain energy required by each energy demand subject;
a i energy demand for a demand entity;
v i the rate of increase in energy demand for a subject of demand;
t is time;
Figure GDA0004045208480000081
the weight coefficient represents the proportion of the energy demand of a certain demand subject in the total demand energy.
According to one embodiment of the invention, the total demand of the certain energy demand type is matched with the energy supply of the energy supply system; determining a first priority level of each energy type in the first energy according to the growth speed of the first energy in the energy supply system; and replacing the second energy source with an energy source having a first higher priority.
According to one embodiment of the present invention, the conversion coefficient of the energy demand type corresponding to each energy supply type is obtained according to different energy demand types, and then the second priority of each energy supply type is obtained.
According to one embodiment of the invention, the type of the alternative energy source is determined jointly from the first priority level and the second priority level:
setting three current energy supply types, namely X, Y and Z, wherein the supply quantity is X, Y and Z in sequence; the corresponding first priority levels are respectively b, b 'and b' in sequence; the corresponding second priority levels are c, c 'and c' in sequence; the following priority levels are derived,
priority level
Figure GDA0004045208480000082
Priority level
Figure GDA0004045208480000083
Priority level
Figure GDA0004045208480000084
Wherein alpha isBeta and gamma respectively represent weighted priority levels of x, y and z in turn; ω and
Figure GDA0004045208480000085
representing a weighting constant.
According to one embodiment of the invention, the number of replacement energy sources is derived from the following equation:
setting the current energy supply amounts of X, Y and Z as X, Y and Z in turn, the corresponding first priority levels as b, b 'and b' in turn, the corresponding second priority levels as c, c 'and c' in turn, the total amount of energy to be supplied as A,
a = c (x + Δ x) + c ' (y + Δ y) + c "(z + Δ z), where Δ x = f (b), Δ y = f (b '), Δ z = f (b ')
Wherein, the corresponding energy source variables are respectively Δ x, Δ y and Δ z in turn, namely the number of the alternative energy sources.
Fig. 4 shows a schematic diagram of a zero-carbon smart green energy system constructed by the present invention.
The type of the replaced energy sources can be determined according to the priority level alpha, the priority level beta and the priority level gamma, the number of the replacement energy sources can be determined according to the priority levels delta x, delta y and delta z, and the non-green energy sources can be gradually replaced by the green energy sources under the condition that the supply and the demand are balanced. That is, as shown in fig. 4, the non-green energy source natural gas is replaced by geothermal energy, photovoltaic energy, biomass, hydrogen and external electricity. Here, the electricity purchased outside is green electricity purchased outside as in fig. 2.
According to the energy supply information and the energy demand information at present, the energy supply information and the energy demand information in a certain time period in the future are predicted, the proportion of various energy types of the existing energy system is reasonably allocated on the premise of not influencing the utilization of the energy at present and the gradually increased energy demand, and green energy is gradually utilized to replace non-green energy; on the other hand, the invention reasonably determines the type and the quantity of the alternative energy according to the comprehensive consideration of the conversion efficiency of the energy and the supply increment of the energy, so that the substitution of the green energy is more scientific and reasonable.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim.

Claims (7)

1. A method for constructing a zero-carbon green energy system is characterized by comprising the following steps: comprises an energy supply system including a first energy source and a second energy source;
step S1, predicting energy demand information in a certain time period as first information;
step S2, predicting the energy supply information of the certain time period as second information;
s3, adjusting the energy supply system according to the first information and the second information to enable the first energy to gradually replace the second energy;
matching the total demand of a certain energy demand type with the energy supply quantity of the energy supply system;
determining a first priority level of each energy type in the first energy according to the growth speed of the first energy in the energy supply system;
replacing the second energy source with an energy source of a first higher priority;
obtaining conversion coefficients of the energy demand types corresponding to the energy supply types according to different energy demand types, and further obtaining second priority levels of the energy supply types;
determining the type of the alternative energy sources according to the first priority level and the second priority level together:
setting three current energy supply types, namely X, Y and Z, wherein the supply quantity is X, Y and Z in sequence; the corresponding first priority levels are respectively b, b 'and b' in sequence; the corresponding second priority levels are c, c 'and c' in sequence; the following priority levels are derived,
priority level
Figure FDA0004045208470000011
Priority level
Figure FDA0004045208470000012
Priority level
Figure FDA0004045208470000013
Wherein, alpha, beta and gamma respectively represent the weighted priority levels of x, y and z in turn; ω and
Figure FDA0004045208470000014
a weighting constant is indicated, indicating the weight of the first priority level and the second priority level in the weighted priority levels.
2. The method of claim 1, wherein: the first energy source comprises one or more of the following energy source types: geothermal energy, photovoltaic energy, biomass energy, hydrogen energy, wind energy and outsourcing green electricity;
the second energy source comprises one or more of the following types of energy sources: petroleum, natural gas, coal.
3. The method of claim 1, wherein: the second information includes energy supply type, quantity and supply growth rate;
the first information includes energy demand type, quantity, and demand growth rate.
4. The method of claim 3, wherein: the energy demand types comprise electricity, heating, refrigerating and fuel.
5. The method of claim 1, wherein: assuming that the main body of the energy demand comprises i types, i is more than or equal to 1 and less than or equal to n, wherein n is an integer which is more than or equal to 1, and i is an integer;
respectively acquiring the energy demand, the energy demand type and the demand growth speed of each energy demand subject, predicting the total demand of a certain energy demand type according to the following formula,
Figure FDA0004045208470000021
wherein A is the total demand of a certain energy required by each energy demand subject;
a i energy demand for a subject of demand;
v i the rate of increase in energy demand for a subject of demand;
t is time;
Figure FDA0004045208470000022
the weight coefficient represents the proportion of the energy demand of a certain demand subject in the total demand energy.
6. The method of claim 5, wherein: the number of replacement energy sources is derived from the following equation:
setting the current energy supply amounts of X, Y and Z as X, Y and Z in turn, the corresponding first priority levels as b, b 'and b' in turn, the corresponding second priority levels as c, c 'and c' in turn, the total amount of energy to be supplied as A,
a = c (x + Δ x) + c '(y + Δ y) + c ″ (z + Δ z), where Δ x = f (b), Δ y = f (b'), Δ z = f (b ″)
Wherein, the corresponding energy source variables are respectively Δ x, Δ y, Δ z in turn, which is the number of the alternative energy sources.
7. A system for constructing a zero-carbon green energy system is characterized in that: comprises a first information acquisition module (1), a second information acquisition module (2) and an energy supply and allocation module (3),
the energy supply system comprises a first energy source and a second energy source;
the first information acquisition module (1) is used for predicting energy demand information of a certain time period as first information;
the second information acquisition module (2) is used for predicting the energy supply information of the certain time period as second information;
the energy supply allocation module (3) is used for,
according to the first information and the second information, adjusting the energy supply system to enable the first energy to gradually replace the second energy;
matching the total demand of a certain energy demand type with the energy supply quantity of the energy supply system;
determining a first priority level of each energy type in the first energy according to the growth speed of the first energy in the energy supply system;
replacing the second energy source with an energy source having a first higher priority;
obtaining conversion coefficients of the energy demand types corresponding to the energy supply types according to different energy demand types, and further obtaining second priority levels of the energy supply types;
determining the type of the alternative energy sources according to the first priority level and the second priority level together:
setting three current energy supply types, namely X, Y and Z, wherein the supply quantity is X, Y and Z in sequence; the corresponding first priority levels are respectively b, b 'and b' in sequence; the corresponding second priority levels are c, c 'and c' in sequence; the following priority levels are derived,
priority level
Figure FDA0004045208470000031
Priority level
Figure FDA0004045208470000032
Priority level
Figure FDA0004045208470000033
Wherein, α, β, γ respectively represent x in this orderY, z; ω and
Figure FDA0004045208470000034
a weighting constant is indicated, indicating the weight of the first priority ranking and the second priority ranking in the weighted priority ranking. />
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