Economical configuration method and system considering middle-deep layer geothermal energy and conventional heat supply

Abstract

The invention discloses an economical configuration method and system considering medium-deep geothermal and conventional heat supply. The method comprises the steps that S1, the design heat load of an energy supply planning area is simulated and calculated; constructing a configuration coefficient model; s2, a total investment model is built according to the designed heat load and the configuration coefficient model, and a model of medium-deep geothermal heat in different proportions and a model of conventional heat supply heat are built; s3, establishing an annual power consumption model and a conventional energy consumption model; establishing an energy consumption cost model; s4, establishing an initial investment allocation cost model according to the total investment model; establishing an annual cost model by using the initial investment allocation cost model and the energy consumption cost model; and S5, iterative simulation calculation is carried out on the annual cost model, and the mid-deep geothermal and conventional heat supply configuration scheme corresponding to the minimum value of the annual cost model is the final configuration scheme. According to the method, the annual cost converted from the initial investment and other operation and maintenance are fully considered, and a scientific basis is provided for economical heat supply.

Description

Technical Field

[0001] The present invention relates to the technical field of energy configuration, and in particular to an economic configuration method and system taking into account medium-deep geothermal energy and conventional heating. Background Art

[0002] Heating has always been a major problem that causes carbon emissions and air pollution in winter; clean heating and low-carbon heating have become a trend. As a solution to green heating in the north, deep geothermal energy has the characteristics of high efficiency and high investment. The current heating configuration plan is relatively extensive, usually configured at full load or a certain ratio, so the current heating configuration plan has the following problems: 1. The existing heating configuration plan is relatively extensive and not comprehensive enough.

[0003] 2. The existing heating configuration scheme has a high initial investment and poor economic efficiency during its operating life cycle. Summary of the invention

[0004] The present invention provides an economic configuration method and system taking into account mid-deep geothermal and conventional heating to solve the technical problems mentioned in the background technology.

[0005] To achieve the above object, the technical solution of the present invention is achieved as follows: The present invention provides an economic configuration method considering mid-deep geothermal and conventional heating, comprising the following steps: S1. Combine local meteorological parameters and building load characteristics to simulate and calculate the design heat load of the energy supply planning area ; Then, according to the temperature zone of the energy supply planning area, the mid-deep geothermal configuration coefficient is constructed and conventional heating configuration coefficient Configuration coefficient model including; S2. According to the design heat load The total investment model is constructed by configuring the coefficient model, analyzing and calculating the annual heat load within the set period, thereby obtaining the heat load table for the year, and then fitting and establishing different proportions of deep geothermal heating models and conventional heating heat models based on the heat load table; S3. Establish an annual electricity consumption model and a conventional energy consumption model based on different proportions of deep geothermal heating models and conventional heating heat models; then establish an energy consumption cost model based on the annual electricity consumption model and the conventional energy consumption model; S4. Establish an initial investment cost allocation model based on the total investment model; then establish an annual cost model using the initial investment cost allocation model and the energy consumption cost model; S5. Perform iterative simulation calculations on the annual cost model, and the mid-deep geothermal and conventional heating configuration plan corresponding to the lowest value of the annual cost model is the final configuration plan.

[0006] Furthermore, the configuration coefficient model in S1 is specifically as follows: Hot summer and cold winter areas: ; Cold areas: , ;like , ; Severely cold areas: , ;like , ; Among them, hot summer and cold winter areas refer to areas in my country where the average temperature of the coldest month meets 0~10℃, the average temperature of the hottest month meets 25~30℃, the number of days with daily average temperature ≤5℃ is 0~90 days, and the number of days with daily average temperature ≥25℃ is 49~110 days; Cold areas refer to areas in my country where the average temperature of the coldest month meets the range of -10℃ to 0℃ and the number of days with the average daily temperature ≤5℃ is 90 to 145 days; Severely cold areas refer to areas in my country where the average temperature of the coldest month is ≤-10℃ or the average daily temperature is ≤5℃ for ≥145 days.

[0007] Furthermore, the total investment model in S2 is specifically as follows: ; in, represents the total investment; , They represent the unit heat investment amount of medium-deep geothermal energy and the unit heat investment amount of conventional heating system respectively.

[0008] Furthermore, the different proportions of deep geothermal heating models in S2 are as follows: ; in, Indicates the calorific value of deep geothermal heat at different proportions; , , , Indicates the heat fitting coefficient under different load ratios; The conventional heating model in S2 is as follows: ; in, Indicates the heat value of heating provided by a conventional heating system; Represents the total heat load throughout the year.

[0009] Furthermore, the annual power consumption model in S3 is as follows: ; in, Indicates the annual electricity consumption; , They represent the comprehensive performance coefficient of mid-deep geothermal energy and the performance coefficient of conventional energy transmission system respectively.

[0010] Furthermore, the conventional energy consumption model in S3 is as follows: ; in, Indicates the energy consumption of conventional heating system; Indicates the calorific value of conventional energy heating fuel.

[0011] Furthermore, the energy consumption cost model in S3 is as follows: ; in, Indicates energy consumption cost; , They represent the comprehensive average electricity price and the unit price of conventional energy respectively.

[0012] Furthermore, the initial investment cost allocation model in S4 is specifically as follows: ; Among them, A represents the initial investment cost sharing; represents the discount rate; Indicates the conversion period.

[0013] Furthermore, the annual cost model in S4 is as follows: ; in, represents the annual cost; Z represents other costs including labor costs and operation and maintenance costs.

[0014] Another aspect of the present invention provides a configuration system, comprising a computer device, the computer device being programmed or configured to execute the above economic configuration method; Or, a computer program programmed or configured to execute the above economic configuration method is stored in the memory of the computer device.

[0015] Beneficial effects of the present invention: The present invention mainly provides an economic configuration method that takes into account medium-deep geothermal and conventional heating. Medium-deep geothermal can be applied in any area with heating. Since the heating characteristics and building types of each area are different, their load characteristics are also different. The present invention combines different buildings and different areas to provide an economical heating configuration method. Compared with the existing heating configuration method, it has the characteristics of a wide range of applications; In addition, since the economic configuration method in the present invention comprehensively considers local climate characteristics, building load characteristics, comprehensive average electricity prices, conventional energy unit prices, initial investment amortization costs, and considers the total operating life (considered when calculating the converted years), investment cycle (i.e. converted years), annual costs, and other costs including operation and maintenance, labor costs; therefore, relative to conventional heating configuration methods, the economic configuration method in the present invention is more sophisticated and comprehensive, with lower initial investment, and better economy throughout the life cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a flow chart of the economic configuration method in the present invention. DETAILED DESCRIPTION

[0017] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Preferred embodiments of the present invention are provided in the drawings. However, the present invention can be implemented in many other different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0018] Reference Figure 1 The embodiment of the present application provides an economic configuration method considering mid-deep geothermal and conventional heating, comprising the following steps: S1. Combine local meteorological parameters and building load characteristics to simulate and calculate the design heat load of the energy supply planning area ; Then, according to the temperature zone of the energy supply planning area, the mid-deep geothermal configuration coefficient is constructed and conventional heating configuration coefficient Configuration coefficient model including; S2. According to the design heat load The total investment model is constructed by configuring the coefficient model, analyzing and calculating the annual heat load within the set period, thereby obtaining the heat load table for the year, and then fitting and establishing different proportions of deep geothermal heating models and conventional heating heat models based on the heat load table; S3. Establish an annual electricity consumption model and a conventional energy consumption model based on different proportions of deep geothermal heating models and conventional heating heat models; then establish an energy consumption cost model based on the annual electricity consumption model and the conventional energy consumption model; S4. Establish an initial investment cost allocation model based on the total investment model; then establish an annual cost model using the initial investment cost allocation model and the energy consumption cost model; S5. Perform iterative simulation calculations on the annual cost model, and the mid-deep geothermal and conventional heating configuration plan corresponding to the lowest value of the annual cost model is the final configuration plan.

[0019] In some embodiments, the configuration coefficient model in S1 is specifically as follows: Hot summer and cold winter areas: ; Cold areas: , ;like , ; Severely cold areas: , ;like , ; Among them, hot summer and cold winter areas refer to areas in my country where the average temperature of the coldest month meets 0~10℃, the average temperature of the hottest month meets 25~30℃, the number of days with daily average temperature ≤5℃ is 0~90 days, and the number of days with daily average temperature ≥25℃ is 49~110 days; Cold areas refer to areas in my country where the average temperature of the coldest month meets the range of -10℃ to 0℃ and the number of days with the average daily temperature ≤5℃ is 90 to 145 days; Severely cold areas refer to areas in my country where the average temperature of the coldest month is ≤-10℃ or the average daily temperature is ≤5℃ for ≥145 days.

[0020] In some embodiments, the total investment model in S2 is specifically as follows: ; in, represents the total investment; , They represent the unit heat investment amount of medium-deep geothermal energy and the unit heat investment amount of conventional heating system respectively.

[0021] In some embodiments, the different proportions of deep geothermal heating models in S2 are as follows: ; in, Indicates the calorific value of deep geothermal heat at different proportions; , , , Indicates the heat fitting coefficient under different load ratios; The conventional heating model in S2 is as follows: ; in, Indicates the heat value of heating provided by a conventional heating system; Represents the total heat load throughout the year.

[0022] In some embodiments, the annual power consumption model in S3 is specifically as follows: ; in, Indicates the annual electricity consumption; , They represent the comprehensive performance coefficient of mid-deep geothermal energy and the performance coefficient of conventional energy transmission system respectively.

[0023] In some embodiments, the conventional energy consumption model in S3 is specifically as follows: ; in, Indicates the energy consumption of conventional heating system; Indicates the calorific value of conventional energy heating fuel.

[0024] In some embodiments, the energy consumption cost model in S3 is as follows: ; in, Indicates energy consumption cost; , They represent the comprehensive average electricity price and the unit price of conventional energy respectively.

[0025] In some embodiments, the initial investment cost allocation model in S4 is specifically as follows: ; Among them, A represents the initial investment cost sharing; represents the discount rate; Indicates the conversion period.

[0026] In some embodiments, the annual cost model in S4 is specifically as follows: ; in, represents the annual cost; Z represents other costs including labor costs and operation and maintenance costs.

[0027] The present invention mainly provides an economic configuration method that takes into account medium-deep geothermal and conventional heating. Medium-deep geothermal can be applied in any area with heating. Since the heating characteristics and building types of each area are different, their load characteristics are also different. The present invention combines different buildings and different areas to provide an economical heating configuration method. Compared with the existing heating configuration method, it has the characteristics of a wide range of applications; In addition, since the economic configuration method in the present invention comprehensively considers local climate characteristics, building load characteristics, comprehensive average electricity prices, conventional energy unit prices, initial investment apportionment costs, and considers the total operating life, investment cycle (i.e. converted years), annual costs, and other costs including operation and maintenance, labor costs; therefore, relative to conventional heating configuration methods, the economic configuration method in the present invention is more sophisticated and comprehensive, with lower initial investment, and better economy throughout the life cycle.

[0028] The integrated energy supply system of Terminal 3 of Huanghua Airport utilizes the economic configuration method provided by the present invention, comprehensively considers medium-deep geothermal and conventional heating, and completes the economic configuration of medium-deep geothermal and conventional heating, wherein the medium-deep geothermal is configured at 10%, and the configured medium-deep geothermal meets 35% of the annual heating supply, and the conventional heating is configured at 90%, and the configured conventional heating meets 65% of the annual heating supply. After investing according to this plan, the investment economy has been greatly improved.

[0029] Another aspect of the present invention provides a configuration system, comprising a computer device, the computer device being programmed or configured to execute the above economic configuration method; Or, a computer program programmed or configured to execute the above economic configuration method is stored in the memory of the computer device.

[0030] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered within the protection scope of the present invention. In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. An economic configuration method considering mid-deep geothermal and conventional heating, characterized in that: The steps include: S1. Combine local meteorological parameters and building load characteristics to simulate and calculate the design heat load of the energy supply planning area ; Then, according to the temperature zone of the energy supply planning area, a geothermal configuration coefficient including the middle and deep layers is constructed. and conventional heating configuration coefficient Configuration coefficient model including; S2. According to the design heat load The total investment model is constructed by configuring the coefficient model, analyzing and calculating the annual heat load within the set period, thereby obtaining the heat load table for the year, and then fitting and establishing different proportions of deep geothermal heating models and conventional heating heat models based on the heat load table; S3. Establish an annual electricity consumption model and a conventional energy consumption model based on different proportions of deep geothermal heating models and conventional heating heat models; then establish an energy consumption cost model based on the annual electricity consumption model and the conventional energy consumption model; S4. Establish an initial investment cost allocation model based on the total investment model; then establish an annual cost model using the initial investment cost allocation model and the energy consumption cost model; S5. Perform iterative simulation calculations on the annual cost model, and the mid-deep geothermal and conventional heating configuration plan corresponding to the lowest value of the annual cost model is the final configuration plan.

2. The economic configuration method according to claim 1, characterized in that: The configuration coefficient model in S1 is as follows: Hot summer and cold winter areas: ; Cold areas: , ;like , ; Severely cold areas: , ;like , ; Among them, hot summer and cold winter areas refer to areas in my country where the average temperature of the coldest month meets 0~10℃, the average temperature of the hottest month meets 25~30℃, the number of days with daily average temperature ≤5℃ is 0~90 days, and the number of days with daily average temperature ≥25℃ is 49~110 days; Cold areas refer to areas in my country where the average temperature of the coldest month meets the range of -10℃ to 0℃ and the number of days with the average daily temperature ≤5℃ is 90 to 145 days; Severely cold areas refer to areas in my country where the average temperature of the coldest month is ≤-10℃ or the average daily temperature is ≤5℃ for ≥145 days.

3. The economic configuration method according to claim 1, characterized in that: The total investment model in S2 is as follows: ； in, represents the total investment; , They represent the unit heat investment amount of medium-deep geothermal energy and the unit heat investment amount of conventional heating system respectively.

4. The economic configuration method according to claim 3, characterized in that: The specific models of deep geothermal heating with different proportions in S2 are as follows: ； in, Indicates the calorific value of deep geothermal heat at different proportions; , , , Indicates the heat fitting coefficient under different load ratios; The conventional heating model in S2 is as follows: ； in, Indicates the heat value of heating provided by a conventional heating system; Represents the total heat load throughout the year.

5. The economic configuration method according to claim 4, characterized in that: The annual electricity consumption model in S3 is as follows: ； in, Indicates the annual electricity consumption; , They represent the comprehensive performance coefficient of mid-deep geothermal energy and the performance coefficient of conventional energy transmission system respectively.

6. The economic configuration method according to claim 5, characterized in that: The conventional energy consumption model in S3 is as follows: ； in, Indicates the energy consumption of conventional heating systems; Indicates the calorific value of conventional energy heating fuel.

7. The economic configuration method according to claim 6, characterized in that: The energy consumption cost model in S3 is as follows: ； in, Indicates energy consumption cost; , They represent the comprehensive average electricity price and the unit price of conventional energy respectively.

8. The economic configuration method according to claim 7, characterized in that: The initial investment cost allocation model in S4 is as follows: ； Among them, A represents the initial investment cost sharing; represents the discount rate; Indicates the conversion period.

9. The economic configuration method according to claim 8, characterized in that: The annual cost model in S4 is as follows: ； in, represents the annual cost; Z represents other costs including labor costs and operation and maintenance costs.

10. A configuration system, comprising a computer device, characterized in that: The computer device is programmed or configured to execute the economic configuration method as claimed in any one of claims 1 to 9.

Images