Multi-heat-source heat supply planning method and planning system based on annual comprehensive heat supply cost

Abstract

The invention relates to a multi-heat-source heat supply planning method and system based on annual comprehensive heat supply cost, and the method comprises the steps: calculating the heat load power of a heat supply system, and obtaining a maximum heat load power and annual heat load power curve needed by the heat supply system; the method comprises the following steps: normalizing heat sources into unit heat supply cost of different types of heat sources according to energy cost, maintenance cost, environmental factors and the like, reducing investment construction cost of each heat source into annual unit power depreciation cost, and planning by taking the minimum comprehensive heat supply cost of each heat source as a target value in sequence according to a configuration priority; and an optimal configuration strategy of each heat source power is formed. The planning system adopts the planning method and is provided with an input module, a storage module, a data analysis processing module and an output module. According to the invention, a heat supply system with the lowest annual comprehensive heat supply cost and the lowest environmental influence is formed.

Description

Technical Field

[0001] The present invention relates to a multi-source heating planning method based on the annual comprehensive heating cost and a planning system adopting this planning method, belonging to the technical field of optimized control of heating systems. Background Art

[0002] Adopting a clean heating system mainly using renewable energy to replace the traditional heating system mainly using fossil energy such as coal is an important measure to achieve green development. Scientifically planning the clean heating system is a prerequisite for realizing the low-cost operation of clean heating. Due to the different inherent characteristics of different renewable energies, the clean heating system generally adopts the method of combined heating with multiple heat sources. When adopting combined heating with multiple heat sources, there are problems of how to give full play to the inherent characteristics of multiple heat sources, scientifically plan the reasonable ratio (heating output) of multiple heat sources, and achieve the lowest operation cost of the clean heating system and the smallest environmental impact of carbon emissions from the heating system. At present, usually by calculating the heat power demand, the configuration ratio of multiple heat sources is determined artificially based on heating experience combined with the construction cost and operation cost of different types of heat sources. Since there are individual differences in artificial experience and it is difficult to uniformly and accurately calculate the influence of various factors on the configuration ratio of each heat source, using this planning method cannot give full play to the inherent characteristics of multiple heat sources and flexible supplementary heat sources, realize the reasonable planning and configuration of the heating system, and achieve the purpose of the lowest operation cost of the clean heating system and the smallest environmental impact of carbon emissions from the heating system. Summary of the Invention

[0003] To overcome the above-mentioned defects of the prior art, the present invention provides a multi-source heating planning method and a planning system based on the annual comprehensive heating cost. According to the annual heat load power curve and the maximum heat load power of the heating system, the configuration priority levels from high to low of each heat source, and the annual depreciation cost per unit power of each heat source, the optimal planned configuration power of each heat source is accurately obtained, and a planning configuration strategy with the lowest annual comprehensive heating cost is formed.

[0004] The technical solution of the present invention to achieve the above object is: Based on the following planning model, the planned configuration power of the heat sources at each priority level is obtained, and the heat sources at each priority level are reasonably configured according to the obtained planned configuration power of the heat sources at each priority level:

[0005]

[0006] s.t.

[0007]

[0008] Wherein, C T is the annual comprehensive heating cost of the heating system; I is the number of configuration priority levels of the planned heat sources; i is the sequence number of the configuration priority level of the heat source; Q iThe annual heat supply of the heat source with configuration priority i; C runi The unit heat supply cost of the heat source with configuration priority i; p ei The planned configuration power of the heat source with configuration priority i; C Di The annual depreciation cost per unit power of the heat source with configuration priority i; p max The maximum heat load power of the heating system in a year.

[0009] The total heat supply power or heat supply of each heat source can be determined according to the heat load demand of the heating system.

[0010] Preferably, the annual planned heat supply of the heat source can be obtained by the following calculation:

[0011]

[0012] Where Q i is the annual heat supply of the heat source with configuration priority i; I is the number of configuration priorities of the planned heat source; i is the serial number of the planned configuration priority of the heat source, which can be numbered in positive integer order. For example, i = 1, 2,..., I; T is the total annual heating duration; t is the calculation time (or time); p(t) is the heat load power of the heating system; p ei is the planned configuration power of the heat source with configuration priority i; p e(i-1) is the planned configuration power of the heat source with configuration priority i - 1.

[0013] Preferably, in the case of building heating, the heat load power of the heating system is obtained by the following calculation:

[0014] p(t) = A * q * (m n - m(t)) / (m n - m w )

[0015] Where p(t) is the heat load power of the heating system at the calculation time t; A is the heated building area; q is the average heat load index per unit building area; m n is the designed indoor temperature; m(t) is the outdoor temperature; m w is the outdoor calculation temperature for winter heating.

[0016] Preferably, the unit heat supply cost of the heat source is calculated according to the following formula:

[0017] C runi = C Fi + C OMi + C Oi + C Ei

[0018] Where C runiThe heating cost per unit of heat source with priority level i; C Fi The energy cost per unit of heat supply of the heat source with priority level i; C OMi The maintenance cost per unit of heat supply of the heat source with priority level i; C Oi The other costs per unit of heat supply of the heat source with priority level i; C Ei The environmental impact cost per unit of heat supply of the heat source with priority level i.

[0019] Preferably, the energy cost per unit of heat supply of the heat source is calculated based on the following formula:

[0020]

[0021] where, C Fi is the energy cost per unit of heat supply of the heat source with priority level i; Eff i is the comprehensive energy efficiency coefficient of the heat source with priority level i; P Fi is the energy price of the heat source with priority level i.

[0022] In order to minimize the environmental impact of the heating system, the environmental impacts of different types of heat sources are attributed to the environmental impact cost C per unit of heat supply E , as a penalty factor, to adjust the configuration priorities and proportions of heat sources with different environmental impacts.

[0023] C E can be set based on factors such as the type of fuel used and environmental protection requirements / policy orientations. If the energy used is a renewable energy source or a heat source encouraged by policies, then the environmental impact cost C E is set to 0 or a small value. If the energy used is a high-emission, high-pollution energy source or a heat source not encouraged by policies, then the environmental impact cost C E is set to the environmental-related costs to be borne or a high value to increase the penalty factor weight of this heat source.

[0024] Preferably, the annual depreciation cost per unit of power of the heat source is calculated based on the following formula:

[0025] C Di = C si (1 - r ri ) * r di

[0026] where, C Di is the annual depreciation cost per unit of power of the heat source with priority level i; C si is the construction cost per unit of power of the heat source with priority level i; r ri is the salvage value rate of the heat source with priority level i; r diIt is the annual depreciation rate of the heat source with priority level i.

[0027] Preferably, calculate the annual heat load power curve and the maximum heat load power of the heating system, determine the configuration priorities of each heat source from high to low according to the ascending order of the operating cost per unit heat of each heat source (the heat sources of each priority level may be equipped with one or more sets of heating equipment), calculate the annual depreciation cost per unit power of each heat source, and perform iterative solution on the planning model from high to low according to the configuration priorities of each heat source to obtain the planned configuration power of each heat source, thereby forming a planned configuration strategy.

[0028] A multi-source heating planning system based on the annual comprehensive heating cost, comprising:

[0029] An input module, used for inputting the basic data required for calculating the planned configuration power of each heat source;

[0030] A storage module, used for storing the basic data input by the input module;

[0031] A data analysis and processing module, used for extracting (or calling) the corresponding basic data from the storage module, and analyzing and calculating the planned configuration power of each heat source by using any one of the multi-source heating control methods based on the annual comprehensive heating cost disclosed in the present invention;

[0032] An output module, used for outputting the planned configuration power of each heat source calculated by the data analysis and processing module.

[0033] Preferably, the basic data includes but is not limited to the heating building area, the average heat load index per unit building area, the designed indoor temperature, the outdoor temperature at the calculation time (referring to the outdoor temperature when the data analysis and processing module analyzes and calculates the planned configuration power of each heat source), the outdoor calculation temperature for winter heating, the number of configuration priorities of the planned heat sources, the total annual heating duration, the comprehensive energy efficiency coefficient of each heat source, the energy price of each heat source (the adopted energy price), the maintenance cost per unit heat supply of each heat source, the other costs per unit heat supply of each heat source, the environmental impact cost per unit heat supply of each heat source, the construction cost per unit power of each heat source, the salvage rate of each heat source, and the annual depreciation rate of each heat source.

[0034] The outdoor temperature at the calculation time and the outdoor calculation temperature for winter heating can be detected by using a suitable sensor (such as a temperature sensor), or the outdoor temperature at the calculation time and the outdoor calculation temperature for winter heating can be predicted or calculated according to the historical weather data of the same period, and the corresponding temperature data obtained by predicting or calculating according to the historical weather data of the same period can be directly input (for example, input after calculating the average value according to the historical weather data of multiple years).

[0035] The beneficial effects of the present invention are as follows: The present invention normalizes and quantifies the heating energy cost, maintenance cost, environmental impact cost, etc. of the heat source of the heating system through the unit heat cost, and imputes the investment and construction cost of each heat source to the annual unit power depreciation cost. Based on the annual heat load power curve and the maximum heat load power of the heating system, the optimal planned configuration power of each heat source when the annual comprehensive heating cost is the lowest is obtained. According to the calculation results, the configuration strategy of each heat source of the heating system is formulated and used as the construction basis of the heating system, which can achieve the lowest annual comprehensive heating cost and the minimum environmental impact operation of the heating system. It not only ensures the low-cost economic operation of the clean heating system and guarantees its sustainable development, but also fully considers the environmental impact of the heating system. From the planning level, it gives priority to using renewable energy and heat sources with small environmental impact for heating and the reasonable configuration of each heat source, so as to achieve the goal of energy conservation and emission reduction of the clean heating system. Specific implementation manner

[0036] This multi-source heating planning method can first calculate the heat load power of the heating system to obtain the maximum heat load power required by the heating system and the annual heat load power curve. On this basis, the heat sources are normalized into the unit heating costs of different types of heat sources according to energy costs, maintenance costs, and environmental factors, etc., and the configuration priorities from high to low of different types of heat sources are set in ascending order (the lower the unit heat cost, the higher the priority in the planning). Then, taking the minimum comprehensive heating cost of each heat source as the target value in turn according to the configuration priority, the maximum configuration power of each heat source is calculated (the power difference is borne by the flexible supplementary heat source), so as to form the optimal configuration strategy of each heat source of the heating system and achieve the lowest annual comprehensive heating cost and the minimum environmental impact operation of the heating system.

[0037] The calculation method and steps of the planned configuration power of each heat source of the heating system are as follows:

[0038] 1. Calculation of heat load power based on historical weather information

[0039] According to the maintenance structure, cold air infiltration, cold air intrusion, etc. of the heating building, determine the unit building average heat load index q, and then according to the historical weather conditions in the same period, obtain the outdoor air temperature m(t) at the calculation moment, and then calculate the heat load power p(t) of the heating system at the calculation moment t. The specific calculation method is as follows:

[0040] p(t) = A * q * (m n - m(t)) / (m n - m w ) Formula (1)

[0041] Among them,

[0042] p(t) is the heat load power of the heating system at the calculation moment t, and the unit is usually kW;

[0043] A is the heating floor area, and the unit is usually m 2 ;

[0044] q is the average heat load index per unit building, and the unit is usually kW / m 2 ;

[0045] m n is the designed indoor temperature, and the unit is usually °C;

[0046] m(t) is the outdoor temperature at calculation time t, and the unit is usually °C;

[0047] m w is the outdoor design temperature for winter heating, and the unit is usually °C.

[0048] 2. Calculation and ranking of the operating cost per unit heat supply of the heat source

[0049] The operating cost per unit heat supply of the heat source consists of energy cost, maintenance cost, environmental impact cost, other costs, etc., and the specific calculation method is as follows:

[0050] C run = C F + C OM + C O + C E Formula (2)

[0051] Among them,

[0052] C run is the operating cost per unit heat supply of the heat source, and the unit is usually yuan / kWh;

[0053] C F is the energy cost per unit heat supply of the heat source, and the unit is usually yuan / kWh;

[0054] C OM is the maintenance cost per unit heat supply of the heat source, and the unit is usually yuan / kWh;

[0055] C O is the other cost per unit heat supply of the heat source, and the unit is usually yuan / kWh;

[0056] C E is the environmental impact cost per unit heat supply of the heat source, and the unit is usually yuan / kWh.

[0057] Among them

[0058] 1) Calculation of the energy cost per unit heat supply of the heat source

[0059] The calculation method of the energy cost per unit heat supply of the heat source is as follows:

[0060]

[0061] Among them,

[0062] C F is the energy cost per unit heat supply of the heat source, and the unit is usually yuan / kWh;

[0063] Eff is the comprehensive energy efficiency coefficient of the heat source;

[0064] P F is the energy price, and the unit is usually yuan / kWh.

[0065] 2) Calculation of the environmental impact cost per unit heat supply of the heat source

[0066] In order to minimize the environmental impact of the heating system, the environmental impacts of different types of heat sources are attributed to the environmental impact cost C E per unit heat supply, and as a penalty factor, the configuration priorities and ratios of heat sources with different environmental impacts are adjusted.

[0067] C E is related to the type of fuel used and the policy orientation. For example, if the energy used is renewable energy or a heat source encouraged by policies, the environmental impact cost C E is set to 0 or a small value. If the energy used is a high-emission and high-pollution energy or a heat source not encouraged by policies, the environmental impact cost C E is set to the environmental-related costs to be borne or a high value to increase the penalty factor weight of this heat source. In the case of not considering the environmental impact cost, it can be regarded as zero.

[0068] 3. Calculation of the annual depreciation cost per unit power of the heat source

[0069] According to the construction cost, annual depreciation rate and salvage value rate per unit power of the heat source, the annual depreciation cost per unit power of the heat source is calculated. The specific calculation method is as follows:

[0070] C D = C s (1 - r r ) * r d Formula (4)

[0071] Among them,

[0072] C D is the annual depreciation cost per unit power of the heat source, and the unit is usually yuan / kW;

[0073] C s is the construction cost per unit power of the heat source, and the unit is usually yuan / kW;

[0074] r ris the residual value rate of the heat source, and the unit is usually %;

[0075] r d is the annual depreciation rate of the heat source, and the unit is usually %.

[0076] 4. Calculation of the planned heat supply of the heat source

[0077] The calculation method of the annual planned heat supply of the heat source is as follows:

[0078]

[0079] Among them,

[0080] Q i is the annual heat supply of the heat source with configuration priority i, and the unit is usually kWh;

[0081] I is the number of configuration priorities of the planned heat source;

[0082] i is the serial number of the planned configuration priority of the heat source;

[0083] T is the total duration of the annual heating period, and the unit is usually h;

[0084] t is the calculation time;

[0085] p(t) is the heat load power of the heating system at the calculation time t, and the unit is usually kW;

[0086] p e(i-1) is the planned configuration power of the heat source with configuration priority i - 1, and the unit is usually kW;

[0087] p ei is the planned configuration power of the heat source with configuration priority i, and the unit is usually kW.

[0088] 5. Calculation of the annual comprehensive heating cost of the heat source

[0089] The calculation method of the annual comprehensive heating cost of the heat source is as follows:

[0090] C i =Q i C runi +p ei C Di Formula (6)

[0091] Among them,

[0092] C i is the annual comprehensive heating cost of the heat source with configuration priority i, and the unit is usually yuan;

[0093] Q i is the annual heat supply of the heat source with configuration priority i, and the unit is usually kWh;

[0094] C runi The heating cost per unit of the heat source with priority level i, and the unit is usually yuan / kWh;

[0095] p ei The planned configuration power of the heat source with priority level i, and the unit is usually kW;

[0096] C Di The annual depreciation cost per unit power of the heat source with priority level i, and the unit is usually yuan / kW.

[0097] 6. Establishment of the planning mathematical model based on the annual comprehensive heating cost

[0098] The planning goal is to calculate the planned configuration power of each heat source and the regulating supplementary heat source according to the annual comprehensive heating cost of different heat sources, so as to achieve the lowest operating cost of the heating system and the minimum environmental impact.

[0099] The planning mathematical model (or the planning optimization objective function) is:

[0100]

[0101] Among them,

[0102] C T The annual comprehensive heating cost of the heating system, and the unit is usually yuan;

[0103] I is the number of configuration priorities of the planned heat source;

[0104] i is the serial number of the planned configuration priority of the heat source;

[0105] Q i The annual heat supply of the heat source with priority level i, and the unit is usually kWh;

[0106] C runi The heating cost per unit of the heat source with priority level i, and the unit is usually yuan / kWh;

[0107] p ei The planned configuration power of the heat source with priority level i, and the unit is usually kW;

[0108] C Di The annual depreciation cost per unit power of the heat source with priority level i, and the unit is usually yuan / kW.

[0109] The constraint condition function is:

[0110]

[0111] Among them,

[0112] pei To plan and configure the power of a heat source with priority level i, the unit is usually kW;

[0113] p max is the maximum annual heat load power of the heating system, and the unit is usually kW.

[0114] 7. Solving the optimization planning mathematical model based on the annual comprehensive heating cost

[0115] 1) Calculating the heat load power of the heating system

[0116] According to formula (1), calculate the annual heat load power curve p(t) and the maximum annual heat load power p of the heating system max .

[0117] 2) Calculating the sorting of the configuration priorities of each heat source

[0118] Calculate the operating cost C per unit heat supply of various heat sources according to formula (2) run , and determine the configuration priorities of each heat source from high to low according to the value of C run from small to large.

[0119] 3) Calculating the annual depreciation cost per unit power of each heat source

[0120] Calculate the annual depreciation cost C per unit power of various heat sources according to formula (4) D .

[0121] 4) Iterative calculation of the configuration power of each heat source

[0122] According to the configuration priorities of each heat source from high to low, iteratively calculate the configuration power according to the optimization objective function in turn.

[0123] a) First, between p e(i-1) <p ei <p max , given the initial value p of the configuration power calculation ei , and then use formula (5) to calculate the heat quantity Q of the heat source planning when p ei . i .

[0124] b) According to formula (4), calculate the annual depreciation cost C per unit power when p ei . Di .

[0125] c) Substitute Q i , C Di into formula (6) to calculate the annual comprehensive heating cost C when p ei . i .

[0126] d) Adjust pei Iteratively calculate according to step a), step b), and step c) in sequence to calculate the p corresponding to when C i is the smallest ei , and this value is the planned configuration power of this heat source.

[0127] The p of each heat source ei value needs to satisfy the constraint conditions of formula (8).

[0128] Solve the planned configuration power p of each heat source e (The heating system will meet the planned optimization objective function and constraint conditions of formula (7) and formula (8)), thereby forming an optimized configuration strategy for each heat source of the heating system, and realizing the operation with the lowest annual comprehensive heating cost and the smallest environmental impact of the heating system.

[0129] This multi-source heating planning system includes an input module, a storage module, a data analysis and processing module, and an output module. The input module is used to input the basic data required for calculating the planned configuration power of each heat source. The storage module is used to store the basic data input by the input module. The data analysis and processing module is used to extract the corresponding basic data from the storage module, and analyze and calculate the planned configuration power of each heat source by using any one of the multi-source heating control methods based on the annual comprehensive heating cost disclosed in the present invention. The output module is used to output the planned configuration power of each heat source calculated by the data analysis and processing module (such as a human-computer interaction device or apparatus).

[0130] The basic data (constant value or obtained through corresponding calculations according to the prior art) includes but is not limited to the heating building area, the average heat load index per unit building area, the designed indoor temperature, the outdoor temperature at the calculation moment (referring to the outdoor temperature when the data analysis and processing module analyzes and calculates the planned configuration power of each heat source), the outdoor calculation temperature for winter heating, the number of configuration priorities of the planned heat source, the total annual heating duration, the comprehensive energy efficiency coefficient of each heat source, the energy price of each heat source (the adopted energy price), the maintenance cost per unit heat supply of each heat source, other costs per unit heat supply of each heat source, the environmental impact cost per unit heat supply of each heat source, the construction cost per unit power of each heat source, the salvage rate of each heat source, and the annual depreciation rate of each heat source.

[0131] The planning model (function, formula) used to calculate the planned configuration power of each heat source can be stored in the storage module and called by the data analysis and processing module when calculating the planned configuration power of each heat source, or can be stored in the data analysis and processing module. After the data analysis and processing module extracts the corresponding basic data from the storage module, it directly analyzes and calculates the planned configuration power of each heat source.

[0132] The outdoor temperature at the calculation moment and the outdoor design temperature for winter heating can be obtained by detecting with suitable sensors (such as temperature sensors), or can be directly input according to historical weather data in the same period (for example, input after calculating the average value based on historical weather data in the same period for multiple years).

[0133] Unless otherwise clearly defined, the term "year" refers to a planning time period, which can be a heating season, a heating year or a month, a calendar year or a month, or any other period involved in the planning.

Claims

1. A multi-heat source heating planning method based on annual comprehensive heating cost, characterized by Based on the following planning model, the planned configuration power of the heat sources of each priority is obtained, and the heat sources of each priority are reasonably configured according to the obtained planned configuration power of the heat sources of each priority: st Among them, C T is the annual comprehensive heating cost of the heating system; I is the configuration priority number of the planned heat source; i is the configuration priority number of the heat source; Q i is the annual heat supply of the heat source with configuration priority i; C runi is the unit heating cost of the heat source with configuration priority i; p ei The planned configuration power of the heat source with configuration priority i; C Di is the annual depreciation cost per unit power of the heat source with configuration priority i; p max It is the annual maximum heat load power of the heating system.

2. The multi-heat source heating planning method based on annual comprehensive heating cost according to claim 1 is characterized in that The annual heat supply of the heat source is obtained based on the following calculation: Where T is the total annual heating time; t is the calculation time; p(t) is the heat load power of the heating system; p e(i-1) Configure the power for the heat source with the configuration priority i-1.

3. The multi-heat source heating planning method based on annual comprehensive heating cost according to claim 2 is characterized in that In the case of building heating, the heat load power of the heating system is obtained based on the following formula: p(t)=A*q*(m n -m(t)) / (m n -m w ) Where p(t) is the heat load power of the heating system; A is the building area; q is the average heat load index per unit building area; m n is the design indoor temperature; m(t) is the outdoor temperature; m w Calculate outdoor temperature for winter heating.

4. The multi-heat source heating planning method based on annual comprehensive heating cost according to claim 1 is characterized in that The unit heating cost of the heat source is calculated based on the following formula: C runi =C Fi +C OMi +C Oi +C Ei Among them, C Fi C is the energy cost per unit of heat provided by the heat source with configuration priority i; OMi is the maintenance cost per unit heat supply of the heat source with configuration priority i; C Oi The other cost per unit heat supply of the heat source with configuration priority i; C Ei The environmental impact cost per unit heat supply of the heat source with configuration priority i.

5. The multi-heat source heating planning method based on annual comprehensive heating cost according to claim 4 is characterized in that The energy cost per unit of heat provided by the heat source is calculated based on the following formula: Among them, Eff i is the comprehensive energy efficiency coefficient of the heat source with configuration priority i; P Fi is the energy price of the heat source with configuration priority i.

6. The multi-heat source heating planning method based on annual comprehensive heating cost according to claim 1, characterized in that The annual depreciation cost per unit power of the heat source is calculated based on the following formula: C Di =C si (1-r ri )*r di Among them, C si is the construction cost per unit power of the heat source with configuration priority i; r ri is the residual value rate of the heat source with configuration priority i; r di is the annual depreciation rate of the heat source with configuration priority i.

7. The multi-heat source heating planning method based on annual comprehensive heating cost according to any one of claims 1 to 6, characterized in that Calculate the annual heat load power curve and maximum heat load power of the heating system, determine the configuration priority of each heat source from high to low according to the order of the unit heat operating cost of each heat source from small to large, calculate the annual depreciation cost per unit power of each heat source, and iterate and solve the planning model according to the configuration priority of each heat source from high to low to obtain the planned configuration power of each heat source and form a planning configuration strategy.

8. A multi-heat source heating planning system based on annual comprehensive heating cost, characterized by include: An input module is used to input basic data required for calculating the planned configuration power of each heat source; A storage module, used for storing basic data input by the input module; A data analysis and processing module, used to extract corresponding basic data from the storage module, and analyze and calculate the planned configuration power of each heat source using the multi-heat source heating control method based on annual comprehensive heating cost according to any one of claims 1 to 7; The output module is used to output the planned configuration power of each heat source calculated by the data analysis and processing module.

9. The multi-heat source heating planning system based on annual comprehensive heating cost according to claim 8, characterized in that The basic data include the heating building area, the average heat load index per unit building area, the designed indoor temperature, the outdoor temperature at the calculation time, the calculated outdoor temperature for winter heating, the number of configuration priorities of the planned heat sources, the total annual heating time, the comprehensive energy efficiency coefficient of each heat source, the energy price of each heat source, the maintenance cost of each heat source per unit of heating, other costs of each heat source per unit of heating, the environmental impact cost of each heat source per unit of heating, the construction cost per unit power of each heat source, the residual value rate of each heat source and the annual depreciation rate of each heat source.

10. The multi-heat source heating planning system based on annual comprehensive heating cost according to claim 9, characterized in that The outdoor temperature at the calculation time and the winter heating outdoor calculated temperature are detected by a temperature sensor, or the outdoor temperature at the calculation time and the winter heating outdoor calculated temperature are predicted or calculated based on historical weather data for the same period.

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