Intelligent heat supply system and heat supply method based on graphite heat storage

Abstract

The application discloses a graphite heat storage-based intelligent heat supply system and a heat supply method, and relates to the field of heat supply systems.The intelligent heat supply system comprises a graphite heat storage module, a processing module, a cloud module and a heating module, the cloud module is used for generating a heat supply strategy according to current time, weather forecast and a heat supply plan, the processing module is used for acquiring the heat supply strategy sent by the cloud module and sending a control signal to the heating module according to the heat supply strategy, the heating module is used for heating graphite in the graphite heat storage module by using valley electricity according to the control signal, and the processing module is further used for controlling the graphite heat storage module to perform heat exchange according to the heat supply strategy.The graphite heat storage-based intelligent heat supply system and the heat supply method realize the disintegration of a thermal source of a thermal power plant by using electricity or clean electricity, and gradually realize heat supply electrification or low carbonization of clean energy sources.

Description

TECHNICAL FIELD

[0001] The present application relates to a smart heat supply system and method based on graphite heat storage. BACKGROUND

[0002] Traditional fossil fuels have played a huge role in the past human development history, but in the face of growing energy grade requirements and environmental protection requirements, fossil fuels have inevitably encountered a bottleneck.

[0003] In recent years, clean energy such as wind power and solar energy has developed rapidly, and its resources are abundant and friendly to the natural environment. With the development of new technologies and new materials, its process means and cost have been greatly optimized, and it has played a promoting role in the widespread implementation. However, the generation period and length of clean energy still have uncertainty and intermittency, so it causes certain load impact and uncertainty in scheduling to the power grid.

[0004] The thermal power unit heat supply plant not only undertakes the task of power supply, but also undertakes the task of local heat supply. The existing heat supply system is low in intelligence and smart degree, and has a great negative impact on the natural environment. SUMMARY

[0005] The technical problem to be solved by the present application is to overcome the defects of the prior art, such as low intelligence and smart degree of the heat supply system, and great negative impact on the natural environment, and to provide a smart heat supply system and method based on graphite heat storage, which improves the digitization, informatization and intelligence of the heat supply system, and realizes the cracking of the thermal power plant heat source by using electric energy or clean source electric energy, so as to gradually realize the electrification of heat supply or the low-carbonization of heat supply source.

[0006] The present application solves the above technical problems by the following technical scheme:

[0007] A smart heat supply system based on graphite heat storage, the smart heat supply system comprising a graphite heat storage module, a processing module, a cloud module and a heating module,

[0008] The cloud module is used to generate a heat supply strategy according to the current time, weather forecast and heat supply plan;

[0009] The processing module is used to obtain the heat supply strategy sent by the cloud module, and send a control signal to the heating module according to the heat supply strategy;

[0010] The heating module is used to heat the graphite in the graphite heat storage module according to the control signal using valley electricity;

[0011] The processing module is also used to control the graphite heat storage module to exchange heat according to the heat supply strategy.

[0012] Preferably, the intelligent heating system further comprises a solar module and a battery,

[0013] The battery is used to store the electric energy transmitted by the solar module.

[0014] The heating module is used to heat the graphite in the graphite heat storage module with valley electricity and battery electricity according to the control signal.

[0015] Preferably, the heating strategy comprises an output total power,

[0016] For the output total power of a preset period, the cloud module is used to determine whether the output total power is satisfied by the input total power of valley electricity of the preset period, if yes, the heating duration of the graphite heated by valley electricity is calculated, if not, the graphite is heated with all valley electricity in the preset period and the heating duration of the graphite heated by flat electricity is calculated, and the heating strategy comprises the heating duration of the graphite heated by valley electricity and flat electricity.

[0017] Preferably, for the output total power of a preset period, the cloud module is used to determine whether the output total power is satisfied by the input total power of valley electricity, flat electricity and peak electricity of the preset period, if yes, the graphite is heated with all valley electricity in the preset period and the heating duration of the graphite heated by flat electricity is calculated, if not, the graphite is heated with all valley electricity, flat electricity and peak electricity in the preset period and the heating duration of the graphite heated by peak electricity is calculated, and the heating strategy comprises the heating duration of the graphite heated by flat electricity and peak electricity.

[0018] Preferably, the intelligent heating system comprises a gas boiler,

[0019] For the output total power of a preset period, the cloud module is used to determine whether the output total power is satisfied by the input total power of valley electricity of the preset period, if yes, the heating duration of the graphite heated by valley electricity is calculated, if not, the ratio of flat electricity or peak electricity input power to gas boiler input power is calculated according to economy, the graphite is heated with all valley electricity in the preset period and the energy of the ratio, and the heating strategy comprises the ratio.

[0020] Preferably, the heating plan comprises a gas usage comparison table, the gas comparison table is in units of preset period length, each unit corresponds to a unit gas consumption amount planned according to the change of weather in the heating period, the gas ladder price in the year and the historical gas usage database,

[0021] For a target preset period of output total power, the cloud module is configured to determine whether the output total power is satisfied by input total power of valley electricity energy of the target preset period,

[0022] If yes, a heating duration of the graphite heated by the valley electricity energy is calculated,

[0023] If no, a ratio of input power corresponding to actual consumption of flat electricity or peak electricity energy to input power corresponding to actual consumption of gas is generated by comparing a price of a sum of unit gas consumption and a gas distribution value corresponding to the target preset period with a price of consumption of flat electricity or peak electricity, and the graphite is heated by all valley electricity energy in the target preset period and the energy of the ratio.

[0024] Preferably, the intelligent heating system comprises a plurality of heating nodes, each of which comprises one graphite heat storage module, one processing module, one cloud module and one heating module, one gas boiler corresponding to a plurality of heating nodes, and the gas boiler is connected with the output pipe network of the heating nodes.

[0025] Preferably, for a preset period of output total power, the cloud module is configured to determine whether the output total power is satisfied by input total power of valley electricity energy of the preset period, if yes, the graphite is heated by the valley electricity energy, and a heating strategy of the graphite reaching a preset highest temperature at an end time of the valley electricity energy in the preset period is calculated according to a current temperature of the graphite and a graphite heating speed curve, the heating strategy comprising the heating strategy.

[0026] Preferably, a plurality of heat exchange pipe groups arranged in series are arranged in the graphite, and an electromagnetic valve is arranged between each heat exchange pipe group and the output pipe network of the heating pipe network,

[0027] The processing module is configured to obtain a current temperature of the graphite, and obtain an electromagnetic valve opening duration of a group of heat exchange pipe groups according to the current temperature;

[0028] The processing module is further configured to control the heat exchange pipe groups to perform heat exchange in sequence according to the electromagnetic valve opening duration.

[0029] The application further provides a heating method for the intelligent heating system.

[0030] On the basis of common sense in the art, the above-mentioned preferred conditions can be combined arbitrarily, that is, each preferred example of the application is obtained.

[0031] The positive progress effect of the application is that:

[0032] This invention can improve the digitalization, informatization, and intelligence of heating systems. By utilizing electrical energy or clean energy sources, it can decouple the heat source from thermal power plants, and gradually realize the electrification of heating or the decarbonization of heating sources to clean energy. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the intelligent heating system according to Embodiment 1 of the present invention. Detailed Implementation

[0034] The present invention will be further illustrated by way of embodiments below, but the present invention is not limited to the scope of the embodiments described herein.

[0035] Example 1

[0036] See Figure 1 This embodiment provides a smart heating system based on graphite thermal storage. The smart heating system includes a graphite thermal storage module 11, a processing module 12, a cloud module 13, and a heating module 14.

[0037] The cloud module is used to generate a heating strategy based on the current time, weather forecast, and heating plan.

[0038] The processing module is used to obtain the heating strategy sent by the cloud module and send a control signal to the heating module according to the heating strategy;

[0039] The heating module is used to heat the graphite in the graphite heat storage module using off-peak electricity according to the control signal;

[0040] The processing module is also used to control the graphite thermal storage module to perform heat exchange according to the heating strategy.

[0041] Furthermore, the intelligent heating system also includes a solar module and a battery.

[0042] The battery is used to store the electrical energy transmitted by the solar module;

[0043] The heating module is used to heat the graphite in the graphite heat storage module using off-peak electricity and battery power according to the control signal.

[0044] Specifically, the heating strategy includes a total output power, which refers to the total output power of the heating system to the heating network.

[0045] For a preset period of time, the cloud module is used to determine whether the total output power is satisfied by the total input power of off-peak electricity during the preset period:

[0046] If so, calculate the heating time for the graphite to be heated by off-peak electricity;

[0047] Otherwise, the graphite is heated using all off-peak electricity within a preset time period, and the heating time for heating the graphite using normal electricity is calculated.

[0048] The heating strategy includes heating the graphite for a duration using off-peak electricity and normal electricity.

[0049] Furthermore, for a preset period of time, the cloud module is used to determine whether the total output power is satisfied by the total input power of off-peak electricity and normal-peak electricity during the preset period:

[0050] If so, the graphite is heated using all off-peak electricity within the preset time period, and the heating time for heating the graphite using normal electricity is calculated.

[0051] If the graphite is heated using all off-peak and average electricity within a preset time period, and the heating time for heating the graphite using peak electricity is calculated;

[0052] The heating strategy includes heating the graphite for a duration using both normal and peak electrical energy.

[0053] Furthermore, the intelligent heating system includes a gas-fired boiler.

[0054] For a preset period of time, the cloud module is used to determine whether the total output power is satisfied by the total input power of off-peak electricity during the preset period:

[0055] If so, calculate the heating time for the graphite to be heated by off-peak electricity;

[0056] Otherwise, the ratio of peak or off-peak electricity input power to gas boiler input power is calculated based on economic efficiency, and all off-peak electricity within a preset time period and the energy ratio are used to heat the graphite.

[0057] The heating strategy includes the ratio.

[0058] Furthermore, in addition to considering current energy consumption, we must also consider total energy consumption over a period of time.

[0059] The heating plan includes a gas usage comparison table, which is based on the duration of a preset time period, and each unit corresponds to a unit gas consumption planned according to weather changes during the heating cycle, the tiered gas price throughout the year, and a historical gas usage database.

[0060] For example, each preset time period is two days. Based on historical measurement data, a gas usage comparison table from October to April of the following year can be generated. Generally, the energy consumption in October and April is relatively low.

[0061] When extreme weather occurs and off-peak electricity cannot meet heating demand, gas supply is supplemented using gas at low-tier pricing.

[0062] At the same time, we need to consider not only how to deal with current extreme weather, but also how to deal with the arrival of future extreme weather, make proper allocation of energy, save energy consumption and improve economic efficiency.

[0063] For a target preset time period, the cloud module is used to determine whether the total output power is satisfied by the total input power of off-peak electricity during the target preset time period.

[0064] If so, calculate the heating time for the graphite to be heated by off-peak electricity.

[0065] Otherwise, the price of the sum of the unit gas consumption (obtained from the gas usage comparison table) and the gas allocation value corresponding to the target preset time period is compared with the price of peak or off-peak electricity consumption. A ratio of the input power corresponding to the actual consumption of peak or off-peak electricity and the input power corresponding to the actual gas consumption is generated. All off-peak electricity within the target preset time period and the energy of the ratio are used to heat the graphite. The gas allocation value is the value obtained by subtracting the actual gas usage from the total gas consumption before the target preset time period and allocating it according to the duration of extreme weather.

[0066] Furthermore, the intelligent heating system includes several heating nodes, each heating node including a graphite thermal storage module, a processing module, a cloud module and a heating module, and a gas boiler corresponding to several heating nodes, with the gas boiler connected to the output pipeline network of the heating nodes.

[0067] Specifically, for a preset period of time, the cloud module is used to determine whether the total output power is satisfied by the total input power of off-peak electricity during the preset period:

[0068] If so, the graphite is heated using off-peak electricity, and a heating strategy is calculated based on the current temperature of the graphite and the graphite heating rate curve to ensure that the graphite reaches a preset maximum temperature at the end of the off-peak electricity period. The heating strategy includes the heating strategy.

[0069] The graphite contains several heat exchange tube groups arranged in series, and each heat exchange tube group is connected to the output network of the heating network by a solenoid valve.

[0070] The processing module is used to obtain the current temperature of the graphite and, based on the current temperature, to obtain the opening duration of the solenoid valves of a set of heat exchange tube groups.

[0071] The processing module is also used to control the heat exchange tube group to perform heat exchange sequentially according to the opening duration of the solenoid valve.

[0072] Utilizing the aforementioned intelligent heating system, this embodiment also provides a heating method, including:

[0073] The cloud module generates a heating strategy based on the current time, weather forecast, and heating plan.

[0074] The processing module obtains the heating strategy sent by the cloud module and sends a control signal to the heating module according to the heating strategy;

[0075] The heating module uses off-peak electricity to heat the graphite in the graphite heat storage module according to the control signal;

[0076] The processing module controls the graphite thermal storage module to perform heat exchange according to the heating strategy;

[0077] After heat exchange in the heat exchange tubes, the heat energy is output through the heat exchanger.

[0078] Furthermore, the heating method includes:

[0079] The battery stores the electrical energy transmitted by the solar module;

[0080] The heating module uses off-peak electricity and battery power to heat the graphite in the graphite heat storage module according to the control signal.

[0081] Specifically, the cloud module generates a heating strategy based on the current time, weather forecast, and heating plan, including:

[0082] For a preset period of time, the cloud module determines whether the total output power is satisfied by the total input power of off-peak electricity during the preset period. If so, it calculates the heating time of off-peak electricity to heat the graphite. Otherwise, it uses all off-peak electricity within the preset period to heat the graphite and calculates the heating time of normal electricity to heat the graphite. The heating strategy includes the heating time of off-peak electricity and normal electricity to heat the graphite.

[0083] Specifically, the cloud module generates a heating strategy based on the current time, weather forecast, and heating plan, including:

[0084] For a preset period of time, the cloud module determines whether the total output power is satisfied by the total input power of off-peak electricity and normal electricity during the preset period. If so, it uses all off-peak electricity within the preset period to heat the graphite and calculates the heating time of normal electricity to heat the graphite. If not, it uses all off-peak electricity and normal electricity within the preset period to heat the graphite and calculates the heating time of peak electricity to heat the graphite. The heating strategy includes the heating time of normal electricity and peak electricity to heat the graphite.

[0085] Specifically, the cloud module generates a heating strategy based on the current time, weather forecast, and heating plan, including:

[0086] For a preset period of time, the cloud module determines whether the total output power is satisfied by the total input power of off-peak electricity during the preset period. If so, it calculates the heating time for heating the graphite with off-peak electricity. Otherwise, it calculates the ratio of peak or off-peak electricity input power to gas boiler input power based on economics, and uses all off-peak electricity within the preset period and the energy ratio to heat the graphite. The heating strategy includes the ratio.

[0087] Specifically, the cloud module generates a heating strategy based on the current time, weather forecast, and heating plan, including:

[0088] The heating plan includes a gas usage comparison table, which uses a preset time period as the unit and each unit corresponds to a unit gas consumption planned based on weather changes during the heating cycle, tiered gas pricing throughout the year, and a historical gas usage database.

[0089] For a target preset time period, the cloud module determines whether the total output power is satisfied by the total input power of off-peak electricity during the target preset time period.

[0090] If so, calculate the heating time for the graphite to be heated by off-peak electricity.

[0091] Otherwise, the price of the sum of the unit gas consumption and gas allocation value corresponding to the target preset time period is compared with the price of the electricity consumption during normal or peak periods. A ratio of the input power corresponding to the actual electricity consumption during normal or peak periods to the input power corresponding to the actual gas consumption is generated. All off-peak electricity within the target preset time period and the energy of the ratio are used to heat the graphite. The gas allocation value is the value obtained by subtracting the actual gas usage from the total gas consumption before the target preset time period and allocating it according to the duration of extreme weather.

[0092] The intelligent heating system includes several heating nodes. Each heating node includes a graphite thermal storage module, a processing module, a cloud module, and a heating module. A gas boiler corresponds to several heating nodes, and the gas boiler is connected to the output pipeline network of the heating nodes.

[0093] Specifically, the cloud module generates a heating strategy based on the current time, weather forecast, and heating plan, including:

[0094] For a preset period of time, the cloud module determines whether the total output power is satisfied by the total input power of off-peak electricity during the preset period. If so, it uses off-peak electricity to heat the graphite and calculates a heating strategy to ensure that the graphite reaches a preset maximum temperature at the end of the off-peak electricity period based on the current temperature of the graphite and the graphite heating rate curve. The heating strategy includes the heating strategy.

[0095] The graphite contains several heat exchange tube groups arranged in series. Each heat exchange tube group is connected to the output pipe network of the heating network by a solenoid valve. The heating method includes:

[0096] The processing module obtains the current temperature of the graphite and, based on the current temperature, obtains the opening duration of the solenoid valves of a set of heat exchange tube groups.

[0097] The processing module controls the heat exchange tube group to perform heat exchange according to the opening duration of the solenoid valve.

[0098] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of the present invention is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but all such changes and modifications fall within the scope of protection of the present invention.

Claims

1. A smart heat supply system based on graphite heat storage, characterized in that, The intelligent heating system comprises a graphite heat storage module, a processing module, a cloud module and a heating module, The cloud module is configured to generate a heating strategy according to the current time, weather forecast and heating plan; The processing module is configured to obtain the heating strategy sent by the cloud module and send a control signal to the heating module according to the heating strategy; The heating module is configured to heat the graphite in the graphite heat storage module with valley electricity according to the control signal; The processing module is further configured to control the graphite heat storage module to perform heat exchange according to the heating strategy; The heating strategy comprises an output total power, For an output total power of a preset period, the cloud module is configured to determine whether the output total power is satisfied by the input total power of valley electricity of the preset period, if yes, calculate the heating duration of the graphite heated by valley electricity, if not, heat the graphite with all valley electricity in the preset period and calculate the heating duration of the graphite heated by flat electricity, the heating strategy comprises the heating duration of the graphite heated by valley electricity and flat electricity; The intelligent heating system comprises a gas boiler, For an output total power of a preset period, the cloud module is configured to determine whether the output total power is satisfied by the input total power of valley electricity of the preset period, if yes, calculate the heating duration of the graphite heated by valley electricity, if not, calculate the ratio of flat electricity or peak electricity power and gas boiler input power according to economy, heat the graphite with all valley electricity in the preset period and the energy of the ratio, the heating strategy comprises the ratio.

2. The intelligent heating system as claimed in claim 1, wherein, The intelligent heating system further comprises a solar module and a storage battery, The storage battery is configured to store the electricity transmitted by the solar module; The heating module is configured to heat the graphite in the graphite heat storage module with valley electricity and storage battery electricity according to the control signal.

3. The intelligent heating system as claimed in claim 1, wherein, For an output total power of a preset period, the cloud module is configured to determine whether the output total power is satisfied by the input total power of valley electricity, flat electricity of the preset period, if yes, heat the graphite with all valley electricity in the preset period and calculate the heating duration of the graphite heated by flat electricity, if not, heat the graphite with all valley electricity, flat electricity in the preset period and calculate the heating duration of the graphite heated by peak electricity, the heating strategy comprises the heating duration of the graphite heated by flat electricity and peak electricity.

4. The smart heating system as claimed in claim 1, wherein, The heating plan comprises a gas use reference table, the gas use reference table is in units of preset period length and each unit corresponds to a unit gas consumption amount planned according to the change of weather in the heating period, the gas ladder price in the year and the historical gas use database, For an output total power of a target preset period, the cloud module is configured to determine whether the output total power is satisfied by the input total power of valley electricity of the target preset period, If yes, calculate the heating duration of the graphite heated by valley electricity, If not, the ratio of the input power corresponding to the actual consumption of flat electricity or peak electricity to the input power corresponding to the actual consumption of gas is generated by comparing the price of the sum of the unit gas consumption and the gas distribution value corresponding to the target preset period with the price of the flat electricity or peak electricity energy consumption, and the graphite is heated by using all the valley electricity energy in the target preset period and the energy of the ratio.

5. The smart heating system as claimed in claim 1, wherein, The intelligent heating system includes a plurality of heating nodes, each of which includes a graphite heat storage module, a processing module, a cloud module, and a heating module. A gas boiler corresponds to a plurality of heating nodes, and the gas boiler is connected to the output pipe network of the heating nodes.

6. The intelligent heating system of claim 1, wherein, for the total output power of a preset period, the cloud module is configured to determine whether the total output power is satisfied by the total input power of the valley electricity energy of the preset period, and if so, to heat the graphite using the valley electricity energy and to calculate a heating strategy for the graphite to reach a preset maximum temperature at the end of the valley electricity energy in the preset period according to the current temperature of the graphite and a graphite heating speed curve, the heating strategy being included in the heating strategy. Each of the plurality of heat exchange pipe groups is provided with an electromagnetic valve between the heat exchange pipe group and the output pipe network of the heating pipe network, 7. The intelligent heating system as claimed in claim 1, wherein, The processing module is configured to obtain the current temperature of the graphite and to obtain the opening duration of the electromagnetic valve of a group of heat exchange pipe groups according to the current temperature; The processing module is further configured to control the heat exchange pipe groups to perform heat exchange in sequence according to the opening duration of the electromagnetic valve. The heating method is used in the intelligent heating system of any one of claims 1 to 7.

8. A method of heating, characterized by ​

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