CN110942217A - Method and system for constructing zero-carbon green energy system - Google Patents
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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
Technical Field
The present invention relates generally 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 above problems, the present invention provides a method for constructing a zero-carbon green energy system, including that the energy supply system includes a first energy source and a second energy source; predicting energy demand information for a certain period of time as first information S1; predicting the energy supply information for the certain period of time as second information S2; and adjusting the energy supply system according to the first information and the second information to enable the first energy source to gradually replace the second energy source S3.
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.
According to one embodiment of the present invention, the first information includes an energy supply type, quantity, and supply growth rate; the second information includes energy demand type, quantity, and demand growth rate.
According to one embodiment of the invention, the energy demand type includes electricity, heating, cooling, 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,
wherein A is the total demand of a certain energy source required by each energy source demand principal;
aienergy demand for a demand entity;
vi is the energy demand growth rate of a certain demand subject;
t is time;
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,
priority level
Priority level
Priority level
Wherein α, gamma respectively represent weighted priority levels of x, y, z, omega and
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 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.
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.
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.
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 related to the claims not specifically described 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 sources can be classified according to the characteristics of the energy sources, including the first energy source and the second energy source, wherein the first energy source is a green energy source, and the second energy source is a non-green energy source.
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 present 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 over 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 within 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 first information acquisition module firstly acquires information such as the current energy supply type, quantity and supply growth speed. The outsourcing green electricity refers to electric energy which is introduced from other places and is obtained by means of 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.
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.
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.
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 demand 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
Priority level
Priority level
Wherein α, gamma respectively represent weighted priority levels of x, y, z, omega and
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 replacement 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; predicting energy demand information for a certain period of time as first information S1; predicting the energy supply information for the certain period of time as second information S2; and adjusting the energy supply system according to the first information and the second information to enable the first energy source to gradually replace the second energy source S3.
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 one embodiment of the present invention, the first information includes an energy supply type, quantity, and supply growth rate; the second information includes 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,
wherein A is the total demand of a certain energy source required by each energy source demand principal;
aienergy demand for a demand entity;
vi is the energy demand growth rate of a certain demand subject;
t is time;
According to one embodiment of the invention, the total demand of the certain energy demand type is matched to 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
Priority level
Priority level
Wherein α, gamma respectively represent weighted priority levels of x, y, z, omega and
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, Δ z in turn, which is 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 α, the priority β and the priority gamma, the number of the replaced energy sources can be determined according to the priority deltax, deltay and deltaz, the non-green energy sources are replaced by the green energy sources gradually under the condition that the supply and the demand are balanced, namely, as shown in figure 4, the natural gas of the non-green energy sources is replaced by geothermy, photovoltaic, biomass, hydrogen and outsourced electricity, and the outsourced electricity is the outsourced green electricity as in figure 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 (10)
1. 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 for a certain period of time as first information (S1);
predicting energy supply information for the certain period of time as second information (S2);
and adjusting the energy supply system according to the first information and the second information to gradually replace the second energy source with the first energy source (S3).
2. The method of claim 1, the first energy source comprising 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, the first information comprising energy supply type, quantity, and supply growth rate;
the second information includes energy demand type, quantity, and demand growth rate.
4. The method of claim 3, the energy demand type comprising electricity, heating, cooling, fuel.
5. The method of claim 1, assuming that the subject of energy demand includes i, 1 ≦ i ≦ n, where n is an integer greater 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,
wherein A is the total demand of a certain energy source required by each energy source demand principal;
aienergy demand for a demand entity;
vi is the energy demand growth rate of a certain demand subject;
t is time;
6. The method of claim 5, matching the total demand of the certain energy demand type 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.
7. The method according to claim 6, wherein 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.
8. The method of claim 7, wherein the type of alternative energy source is determined based on 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
Priority level
Priority level
Wherein α, gamma respectively represent weighted priority levels of x, y, z, omega and
a weighting constant is indicated, indicating the weight of the first priority level and the second priority level in the weighted priority levels.
9. The method of claim 8, the number of replacement energy sources being derived according to the 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.
10. A system for constructing a zero-carbon green energy system comprises a first information acquisition module (1), a second information acquisition module (2) and an energy supply and allocation module (3),
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 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.
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