A multi-energy coupling energy supply method and system applied to a farm

Abstract

The present application relates to the field of energy control, in particular to a multi-energy coupling energy supply method and system applied to a farm, wherein the method is applied to a multi-energy coupling energy supply system, current real-time temperature T and real-time humidity RH inside the farm are acquired in real time, it is judged whether the T is in a current suitable temperature interval, in the case that the T is in the current suitable temperature interval, the temperature is adjusted to an optimal suitable temperature T0 in a fine-tuning manner, in the case that the T is not in the current suitable temperature interval, the temperature is adjusted to the optimal suitable temperature T0 in an optimal operation manner, the adjustment of the temperature inside the farm is completed at a minimum cost, and in the case that the RH is not in a suitable humidity interval, the humidity is adjusted by a humidity adjusting device, so as to further ensure the health of livestock and poultry in the farm.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the field of energy control, and particularly relate to a multi-energy coupling energy supply method and system applied to a farm. BACKGROUND

[0002] When a farm is built in the south for livestock breeding, since most of the farms in the south are built in mountainous areas or by the sea, the temperature in the mountainous areas or by the sea changes greatly, and livestock is very sensitive to temperature, and too high or too low temperature will cause problems in the growth and health of livestock. At the same time, the humidity in the south is also greater, and a humid environment is easy to breed bacteria, which is also not conducive to the healthy growth of livestock.

[0003] At present, although most farms are installed with cooling, heating or humidity adjusting systems to try to provide suitable survival temperature and humidity for livestock, the cooling, heating and humidity adjusting systems of the farm can generally only be manually controlled, and cannot adapt to the temperature and humidity changes of the farm to continuously provide suitable temperature and humidity for livestock, which is not conducive to the growth of livestock. SUMMARY

[0004] In order to realize adaptive automatic adjustment of the temperature and humidity in the farm, embodiments of the present application provide a multi-energy coupling energy supply method and system applied to a farm.

[0005] In a first aspect, embodiments of the present application provide a multi-energy coupling energy supply method applied to a farm, which is applied to a multi-energy coupling energy supply system, the multi-energy coupling energy supply system comprising a heating subsystem and a cooling subsystem; the heating subsystem comprises an air source heat pump heating unit, a ground source heat pump heating unit, a biogas heating unit, a biomass particle heating unit and a municipal heating unit, and the cooling subsystem comprises an air source heat pump cooling unit, a ground source heat pump cooling unit and a humidity adjusting device.

[0006] The method comprises:

[0007] acquiring a current real-time temperature T and a real-time humidity RH inside the farm;

[0008] determining whether the real-time temperature T is equal to a currently set optimal suitable temperature T0 in the farm;

[0009] if the T is equal to the T0, controlling the multi-energy coupling energy supply system to maintain the current state;

[0010] if the T is not equal to the T0, determining whether the T is in a current suitable temperature interval, in a case that the T is in the current suitable temperature interval, controlling the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system to adjust the real-time temperature in the farm to the T0 in a preset fine adjustment mode, in a case that the T is not in the current suitable temperature interval, controlling the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system to adjust the real-time temperature in the farm to the T0 in an optimal operation scheme, the optimal operation scheme being determined based on an optimization objective function for indicating a minimum adjustment cost;

[0011] determining whether the real-time humidity RH is in a suitable humidity interval, in a case that the RH is not in the suitable humidity interval, controlling the humidity adjusting device to adjust the humidity in the farm by analyzing a humidity deviation degree and a real-time temperature in the farm.

[0012] In a second aspect, the embodiment of the present application further provides a multi-energy coupling energy supply system applied to a farm, the multi-energy coupling energy supply system comprising a heating subsystem, a refrigeration subsystem and a control module; the heating subsystem comprising an air source heat pump heating unit, a ground source heat pump heating unit, a biogas heating unit, a biomass particle heating unit and a municipal heating unit, the refrigeration subsystem comprising an air source heat pump refrigeration unit, a ground source heat pump refrigeration unit and a humidity adjusting device;

[0013] the control module is configured to acquire a current real-time temperature T and a real-time humidity RH in the farm;

[0014] determining whether the real-time temperature T is equal to a best suitable temperature T0 currently set in the farm;

[0015] if the T is equal to the T0, controlling the multi-energy coupling energy supply system to maintain a current state;

[0016] if the T is not equal to the T0, determining whether the T is in a current suitable temperature interval, in a case that the T is in the current suitable temperature interval, controlling the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system to adjust the real-time temperature in the farm to the T0 in a preset fine adjustment mode, in a case that the T is not in the current suitable temperature interval, controlling the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system to adjust the real-time temperature in the farm to the T0 in an optimal operation scheme, the optimal operation scheme being determined based on an optimization objective function for indicating a minimum adjustment cost;

[0017] determining whether the real-time humidity RH is in a suitable humidity range, and in the case that the RH is not in the suitable humidity range, controlling the humidity adjusting device to adjust the humidity in the breeding farm by analyzing the humidity deviation degree and the real-time temperature in the breeding farm.

[0018] The embodiment of the present application provides a multi-energy coupling energy supply method and system applied to a breeding farm, real-time current real-time temperature T and real-time humidity RH in the breeding farm are acquired, whether the T is in a current suitable temperature range is determined, in the case that the T is in the current suitable temperature range, the temperature is adjusted to an optimal suitable temperature T0 in a fine-tuning mode, in the case that the T is not in the current suitable temperature range, the temperature is adjusted to the optimal suitable temperature T0 in an optimal operation mode, the adjustment of the temperature in the breeding farm is completed at a minimum cost, and in the case that the RH is not in a suitable humidity range, the humidity is adjusted by a humidity adjusting device, and the health of livestock and poultry in the breeding farm is further ensured. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0020] Figure 1 is a flow chart of a multi-energy coupling energy supply method applied to a breeding farm provided by an embodiment of the present application;

[0021] Figure 2 is an architecture diagram of a multi-energy coupling energy supply system applied to a breeding farm provided by an embodiment of the present application;

[0022] Figure 3 is a structural schematic diagram of a breeding farm system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort fall within the protection scope of the present application.

[0024] Please refer to Figure 1The embodiment of the present application provides a multi-energy coupling energy supply method applied to a farm.

[0025] For the heating subsystem, the biogas heating unit is used for converting manure produced by livestock and poultry in the farm into biogas, and the biogas is converted into heat by burning in an incinerator to heat the farm, the air source heat pump heating unit is used for heating by exchanging heat with external air, the ground source heat pump heating unit is used for heating by the heat of underground hot water, the biomass particle heating unit is used for heating the farm by burning biomass particles in an incinerator to generate heat, and the municipal heating unit is used for heating the farm by burning natural gas in an incinerator to generate heat.

[0026] For the cooling subsystem, the air source heat pump cooling unit is used for cooling by exchanging heat with external air, the ground source heat pump cooling unit is used for cooling by the heat of underground cold water, and the humidity adjusting device is used for increasing the humidity of the farm by water flow atomization and a fan or reducing the humidity of the farm by a fan.

[0027] Please refer to the flowchart shown in Figure 1 The method comprises the following steps:

[0028] In step 101, the current real-time temperature T and real-time humidity RH in the farm are obtained.

[0029] In step 102, it is judged whether the real-time temperature T is equal to the best suitable temperature T0 set in the farm.

[0030] The best suitable temperature T0 in the farm is related to livestock and poultry bred in the farm, and the best suitable temperature T0 is the best temperature for healthy growth of the livestock and poultry, which is not limited in the present application. For example, the best suitable temperature suitable for sows is between 20-22 DEG C.

[0031] In step 103, if T is equal to T0, the multi-energy coupling energy supply system is controlled to maintain the current state.

[0032] When T is equal to T0, it means that the current real-time temperature in the farm has reached the best suitable temperature in the farm, and the temperature in the farm does not need to be regulated, and it can be further checked whether the humidity in the current farm needs to be regulated.

[0033] Step 104, if T is not equal to T0, it is judged whether T is in the current suitable temperature interval, in the case that T is in the current suitable temperature interval, the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system is controlled to adjust the real-time temperature in the breeding farm to T0 in a preset fine-tuning mode, in the case that T is not in the current suitable temperature interval, the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system is controlled to adjust the real-time temperature in the breeding farm to T0 according to the optimal operation scheme, and the optimal operation scheme is determined based on an optimization objective function for indicating minimum adjustment cost.

[0034] In order to reduce the regulation cost, when the difference between T and T0 is small, the slow regulation method is used to fine-tune the temperature inside the breeding farm, so as to reduce the resources consumed in adjusting the temperature, and avoid over-adjustment.

[0035] In the embodiment, the above fine-tuning may be performed by the heating subsystem or the refrigeration subsystem, and the preset fine-tuning mode corresponding to different subsystems is different, and the preset fine-tuning mode corresponding to different subsystems is determined by each unit included in the corresponding subsystem.

[0036] Optionally, the heating amount required by the heating subsystem to increase the temperature in the current breeding farm by one degree, and the refrigeration amount required by the intelligent subsystem to reduce the temperature in the current breeding farm by one degree, can be calculated according to historical data, the temperature size of each fine-tuning is set in advance, the total heating amount required by the heating subsystem to fine-tune each time is calculated according to the temperature size of each fine-tuning, or the total refrigeration amount required by the refrigeration subsystem to fine-tune each time is calculated, and then the heating subsystem or the refrigeration subsystem is controlled to fine-tune.

[0037] It should be noted that when the system being operated in step 600 is the heating subsystem, if T is less than or equal to T0, more heating amount will be generated by the heating subsystem, and if T is greater than T0, the heating amount generated by the heating subsystem will be reduced subsequently. When the system being operated in step 600 is the refrigeration subsystem, if T is less than or equal to T0, more refrigeration amount will be generated by the refrigeration subsystem, and if T is greater than T0, the refrigeration amount generated by the refrigeration subsystem will be increased subsequently.

[0038] Step 105, it is judged whether the real-time humidity RH is in the suitable humidity interval, in the case that RH is not in the suitable humidity interval, the humidity adjusting device is controlled to adjust the humidity in the breeding farm by analyzing the humidity deviation degree and the real-time temperature in the breeding farm.

[0039] The suitable temperature interval and the suitable humidity interval are temperature intervals and humidity intervals that are beneficial to the growth and health of livestock and poultry, and the suitable temperature interval and the suitable humidity interval corresponding to different livestock and poultry are different, which are not limited by the present application.

[0040] In one embodiment of the present application, the above-mentioned optimization objective function is:

[0041]

[0042] n is the number of time periods for dividing a single day (for example, n can take values of 12, 24, etc., indicating that a single day is divided into 12 or 24 time periods), P e (t) is the electricity price of the time period corresponding to t, W e (t) is the grid interaction power, P g (t) is the natural gas price of the time period corresponding to t, W g (t) is the natural gas interaction power of the time period corresponding to t, η g η is the natural gas operation efficiency, P w (t) is the water price of the time period corresponding to t, V w (t) is the water consumption of the time period corresponding to t, P b (t) is the biomass pellet fuel price of the time period corresponding to t, M b (t) is the biomass pellet fuel consumption of the time period corresponding to t;

[0043] T s is the influence of the temperature in the farm on the livestock and poultry in a single day, RH s is the influence of the humidity in the farm on the livestock and poultry in a single day;

[0044] α is the temperature sensitivity coefficient of the livestock and poultry in the farm, and β is the humidity sensitivity coefficient of the livestock and poultry in the farm, T in (t) is the indoor temperature in the farm at t, T set (t) is the optimal temperature corresponding to the farm at t, RH in (t) is the indoor humidity in the farm at t, RH set (t) is the optimal humidity corresponding to the farm at t.

[0045] In the present embodiment, by obtaining the current real-time temperature T and real-time humidity RH in the farm in real time, it is determined whether T is in the current suitable temperature range. In the case where T is in the current suitable temperature range, the temperature is adjusted to the optimal suitable temperature T0 in a fine-tuning manner. In the case where T is not in the current suitable temperature range, the temperature is adjusted to the optimal suitable temperature T0 in an optimal operation manner, so as to complete the adjustment of the temperature in the farm at a minimum cost, and in the case where RH is not in the suitable humidity range, the humidity is adjusted by the humidity adjusting device, so as to further ensure the health of the livestock and poultry in the farm.

[0046] The following is described Figure 1The execution mode of each step shown.

[0047] For step 104:

[0048] In an embodiment of the present application, in the case that the currently running subsystem in the multi-energy coupling energy supply system is the heating subsystem, in the case that T is less than the minimum value of the appropriate temperature interval, the subunit that generates the maximum amount of heat at the current time in the heating subsystem is determined as the target subunit, and the target subunit is used to heat the farm.

[0049] If the amount of heat generated by the target subunit exceeds the optimal content interval, the subunit that generates the maximum amount of heat at the current time is determined as the target subunit from the other subunits in the heating subsystem except the target subunit, and the step of heating the farm by the target subunit is returned to.

[0050] Optionally, the amount of heat generated by the air source heat pump heating unit exceeding the optimal content interval refers to the power consumption of the air source heat pump heating unit exceeding the maximum power threshold, the amount of heat generated by the ground source heat pump heating unit exceeding the optimal content interval refers to the amount of heat generated by the ground source heat pump heating unit exceeding the underground hot water threshold, the amount of heat generated by the biogas heating unit exceeding the optimal content interval refers to the amount of biogas remaining in the biogas heating unit being lower than the minimum biogas threshold, and the amount of heat generated by the biomass particle heating unit and the municipal heating unit exceeding the optimal content interval refers to the purchase cost of biomass particles and natural gas exceeding the maximum cost threshold.

[0051] For step 104:

[0052] In another embodiment of the present application, in the case that the currently running subsystem in the multi-energy coupling energy supply system is the refrigeration subsystem, in the case that T is greater than the maximum value of the appropriate temperature interval, the air source heat pump refrigeration unit is used to refrigerate the farm.

[0053] After the air source heat pump refrigeration unit adjusts the real-time temperature in the farm to the appropriate temperature interval, the ground source heat pump refrigeration unit is used to refrigerate the farm.

[0054] When it is determined that the amount of refrigeration currently generated by the air source heat pump refrigeration unit and the ground source heat pump refrigeration unit is less than the amount of refrigeration required to adjust the real-time temperature in the farm from T to T0, the indoor temperature of the farm is lowered by the humidity adjusting device.

[0055] In the present embodiment, lowering the indoor temperature of the farm by the humidity adjusting device comprises:

[0056] In the case that RH is within the appropriate humidity interval, but the real-time temperature in the farm is not within the current appropriate temperature interval, the indoor temperature of the farm is fine-tuned by the humidity adjusting device.

[0057] For example, in this embodiment, the indoor temperature of the farm can be finely adjusted by turning on the lowest setting of the humidity control device's fan.

[0058] Regarding step 105:

[0059] In one embodiment of this application, the humidity control device adjusts the humidity in the aquaculture farm by analyzing the degree of humidity deviation and the real-time temperature in the farm, including:

[0060] When RH is greater than the maximum value of the suitable humidity range, but T is within the current suitable temperature range, the humidity control device is activated at the lowest setting with the least humidity reduction, and the humidity in the farm is reduced according to the lowest setting with the least humidity reduction.

[0061] When RH is less than the minimum value of the suitable humidity range, but T is within the current suitable temperature range, the humidity control device is activated at the lowest setting with the least increase in humidity, and the humidity in the farm is increased according to the lowest setting with the least increase in humidity.

[0062] In one embodiment of this application, the method for constructing a multi-energy coupled power supply system includes:

[0063] Obtain the daily operating costs F of the farm during the heating and cooling periods before the system was installed. c And calculate the heating demand Q required by the farm during the heating season. n1 The cooling capacity Q required by the farm during the cooling period. n2 ;F c =L og *F g +Q oe *F e +L ow *F w L og F represents the daily natural gas consumption of the farm before the multi-energy coupling power supply system was installed. g Q represents the unit price of natural gas. oe F represents the daily electricity consumption of the farm before the multi-energy coupling power supply system was installed. e Price per unit of electricity, L ow F represents the daily water consumption of the farm before the multi-energy coupling power supply system was installed. w Price per unit of water volume;

[0064] The construction function determines the building area A1 corresponding to the biogas heating unit, the number of air pumps n1 used to realize the air source heat pump heating unit and the air source heat pump cooling unit, and the number of geothermal pumps n2 used to realize the ground source heat pump heating unit and the ground source heat pump cooling unit; the construction function indicates the daily operating cost f corresponding to the heating period after the heating subsystem is built. c Less than the F corresponding to the heating period c Under the condition that the predicted heating demand Qr1≥Q n1 Furthermore, the heating subsystem with the lowest setup cost, and the daily operating cost f during the cooling period after setting up the cooling subsystem. c Less than the F corresponding to the cooling period c In this case, establish a predicted cooling capacity Q r2 ≥Q n2 It also has the lowest setup cost for a refrigeration subsystem.

[0065] In one embodiment of this application, for the heating period, the predicted heating amount Qr1 provided by the system on a single day is:

[0066] Q r1 =Q w1 *A1+Q w2 *n1+Q w3 *n²+Q w4 *M+Q e1 +L g *η g ;

[0067] Q w1 Q is the heat generated by the biogas produced per unit area of ​​the biogas digester. w2 Q is the average daily heat generated by a single air pump. w3 Q is the average daily heat generated by a single geothermal pump. w4 Q is the amount of heat converted per unit quantity of biomass pellets. e1 It is the heat generated by electricity in the farm, L g It is the average daily consumption of natural gas, η g It refers to the efficiency of natural gas operation (i.e., the efficiency of natural gas heating).

[0068] Among them, Q w1 It can be calculated in the following ways:

[0069] Q w1 =L z *q;L z =μ1*M x

[0070] L z M represents the average daily biogas production per unit biogas digester, q represents the heat energy supplied by the unit biogas digester, μ1 represents the biogas fermentation efficiency, and M...x represents the amount of livestock manure.

[0071] Q w4 can be calculated by:

[0072] Q w4 = M * τ, M represents the amount of unit biomass particles input, and τ represents the heat conversion efficiency of biomass particles.

[0073] Q w2 According to the type of air pump and the regional environment of the breeding site, the average daily heat supply in different seasons can be calculated, Q w3 According to the geothermal resources and the conversion efficiency of the geothermal pump, the average daily heat supply of the geothermal pump in different seasons can be determined.

[0074] For the refrigeration period, the predicted refrigeration amount Q r2 provided by the system in a single day in this embodiment is:

[0075] Q r2 = Q c1 *n1+ Q c2 *n2+ Q e2 + L w * η w ;

[0076] Q c1 is the refrigeration amount produced by a single air pump per day, Q c2 is the refrigeration amount produced by a single geothermal pump per day, Q e2 is the refrigeration amount produced by the electric energy in the breeding site, L w is the condensate water consumption per day, and η w is the condensate water refrigeration efficiency.

[0077] Q c1 According to the type of air pump and the regional environment of the breeding site, the average daily refrigeration amount in different seasons can be calculated, Q c2 According to the geothermal resources and the conversion efficiency of the geothermal pump, the average daily refrigeration amount of the geothermal pump in different seasons can be determined.

[0078] In addition, the above Q n1 = L g1 * η g + Q e3 , L g1 is the amount of natural gas consumed by the breeding site before the system is built, Q e3 is the heat produced by the electric energy in the breeding site before the system is built.

[0079] Q n2 = L w1 * η w + Q e4 , L w1Q is the amount of cold water consumed by the farm before the system is built using condensate water for refrigeration e4 Q is the refrigeration capacity of the power generated in the farm before the system is built.

[0080] In the embodiment of the present application, the general calculation formula for calculating the minimum construction cost is:

[0081] min{A1*C1+n1*C2+n2*C3+C4+C5}

[0082] C1 is the cost of building a unit area of biogas tank, C2 is the cost of a single air pump, C3 is the cost of a single ground source heat pump, C1 is the cost of building a carbonization furnace for burning biogas and biomass particles, and C2 is the cost of building a multi-energy coupling energy supply system (such as the cost of pipes used for system construction, labor cost, etc.).

[0083] In another embodiment of the present application, the biogas heating unit and the ground source heat pump heating unit belong to renewable and environmentally friendly energy sources that do not need to be purchased additionally. The biogas heating unit and the ground source heat pump heating unit consume only a small amount of electric energy to heat the farm, and water and natural gas (natural gas is generally used for ignition), so when the heating subsystem is used to heat the farm, the biogas heating unit and the ground source heat pump heating unit are used first to heat the farm.

[0084] Wherein, the heat provided by the biogas heating unit and the ground source heat pump heating unit is limited, but the heat provided by the air source heat pump heating unit, the biomass particle heating unit and the municipal heating unit is unlimited. The air source heat pump heating unit exchanges heat with the external air to achieve heating by consuming electric energy, the biomass particle heating unit can achieve unlimited heating by purchasing biomass particles, and the municipal heating unit can achieve unlimited heating by purchasing natural gas.

[0085] When the heat provided by the biogas heating unit and the ground source heat pump heating unit has exceeded the optimal content range, the embodiment can continue to supplement the heating through the air source heat pump heating unit, the biomass particle heating unit and the municipal heating unit. The embodiment can compare the prices of the air source heat pump heating unit, the biomass particle and the natural gas when providing the same amount of heat, and preferentially use the unit with lower cost for heating.

[0086] In an embodiment of the present application, when the real-time temperature is higher than the optimal suitable temperature, the excess energy generated in the heating subsystem can also be converted into electric energy and stored in the battery for use in the power peak period to avoid the phenomenon of unstable power supply in the system during the power peak period. Optionally, part of the energy can also be stored in the heat storage unit to achieve supplementary heating when the coldness is high to prevent the situation of insufficient heating.

[0087] In another embodiment of the present application, as shown in Figure 3 As shown in the pig farm with southern building as an example, an example diagram of a multi-energy coupling energy supply system is provided. The system includes a refrigeration subsystem, a heating subsystem, a water supply module, a power supply module, and a building pig farm. The refrigeration subsystem includes a cold source, a water cooling device, an air source heat pump refrigeration unit, a condenser, a ground source heat pump refrigeration unit, and a humidity adjusting device. The heating subsystem includes an air source heat pump heating unit, an evaporator, a ground source heat pump heating unit, a biogas heating unit, a biomass particle heating unit, a heat storage unit, and a municipal heating unit. The water supply module includes a water treatment unit and a municipal water supply unit. The power supply module includes a ground source heat pump power supply unit, an air source heat pump power supply unit, an electricity storage unit, and a municipal power supply unit.

[0088] The biogas heating unit includes a biogas fermentation tank, a wastewater treatment device, a waste residue treatment device, and a gas storage device. The biomass particle heating unit includes a carbonization furnace, biomass particles, and a flue gas recovery device. The heat storage unit is a phase change heat storage and heat exchange tank. The water treatment unit includes a waste discharge pipeline and a wastewater treatment device. The building pig farm includes a heat exchange device, a humidity adjusting device, and a control module of the multi-energy coupling energy supply system.

[0089] Specifically, the ground source heat pump is connected to the heat exchange device of the pig farm through the condenser and the evaporator to realize the functions of refrigeration and heat supply. The water cooling device provides cold energy to the pig farm through the air source heat pump. The air source heat pump provides heat to the pig farm through the reverse Carnot cycle. The building pig farm is connected to the wastewater treatment device leading to the biogas fermentation tank to provide raw materials for biogas fermentation. The biogas fermentation tank is connected to the carbonization furnace through the gas storage device, and the phase change heat storage and heat exchange tank provides heat to the pig farm.

[0090] The phase change heat storage and heat exchange tank is connected to the flue gas recovery device to prevent the pollution of the environment after heat exchange. The ground source heat pump also stores excess heat through the phase change heat storage and heat exchange tank. The circulating water pump of the ground source heat pump can change the water direction to realize the recycling of geothermal water.

[0091] When Figure 3 As shown in the system, when the refrigeration subsystem is started, the water cooling device, the air source heat pump refrigeration unit, the condenser, and the ground source heat pump refrigeration unit are started. The water cooling device and the condenser cool the water source and deliver it to the pig farm heat exchange device. The humidity adjusting device serves as a refrigeration supplement to achieve the refrigeration effect by reducing the indoor humidity of the pig farm.

[0092] When the heating subsystem is started, the air source heat pump heating unit and the ground source heat pump heating unit are started as the main heating source. The biogas heating unit, the biomass particle heating unit, and the municipal heating unit serve as a heating supplement. The heating capacity of each unit is adjusted according to the remaining amount of each unit at any time to ensure the stable operation of the system.

[0093] The following describes Figure 2An application of a multi-energy coupling energy supply system applied to a farm is described.

[0094] As Figure 2 The application provides a multi-energy coupling energy supply system applied to a farm, and the multi-energy coupling energy supply system comprises a heating subsystem 201, a refrigeration subsystem 202 and a control module 203; the heating subsystem 201 comprises an air source heat pump heating unit, a ground source heat pump heating unit, a biogas heating unit, a biomass particle heating unit and a municipal heating unit; the refrigeration subsystem 202 comprises an air source heat pump refrigeration unit, a ground source heat pump refrigeration unit and a humidity adjusting device.

[0095] The control module 203 is used for acquiring a current real-time temperature T and a real-time humidity RH in the farm.

[0096] It is judged whether the real-time temperature T is equal to a best suitable temperature T0 currently set in the farm.

[0097] If the T is equal to the T0, the multi-energy coupling energy supply system is controlled to maintain a current state.

[0098] If the T is not equal to the T0, it is judged whether the T is in a current suitable temperature interval; in a case where the T is in the current suitable temperature interval, the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system is controlled to adjust the real-time temperature in the farm to the T0 in a preset fine adjustment mode; in a case where the T is not in the current suitable temperature interval, the heating subsystem or the refrigeration subsystem in the multi-energy coupling energy supply system is controlled to adjust the real-time temperature in the farm to the T0 in an optimal operation scheme, and the optimal operation scheme is determined based on an optimization objective function used for indicating a minimum adjustment cost.

[0099] It is judged whether the real-time humidity RH is in a suitable humidity interval; in a case where the RH is not in the suitable humidity interval, the humidity adjusting device is controlled to adjust the humidity in the farm by analyzing a humidity deviation degree and a real-time temperature in the farm.

[0100] Optionally, the optimization objective function is as follows:

[0101]

[0102] The n is a number of time periods divided by a single day, the P e (t) is a time period corresponding to t moment, the W e (t) is a grid interactive power, the P g (t) is a time period corresponding to t moment, the W g(t) is the natural gas interaction power of the time period corresponding to time t, and the η g is the natural gas operation efficiency, and the P w (t) is the water price of the time period corresponding to time t, and the V w (t) is the water consumption of the time period corresponding to time t, and the P b (t) is the biomass pellet fuel price of the time period corresponding to time t, and the M b (t) is the biomass pellet fuel consumption of the time period corresponding to time t.

[0103] The T s is the influence of temperature in the farm on livestock and poultry in a single day, and the RH s is the influence of humidity in the farm on livestock and poultry in a single day.

[0104] The α is the temperature sensitivity coefficient of livestock and poultry in the farm, the β is the humidity sensitivity coefficient of livestock and poultry in the farm, the T in (t) is the indoor temperature of the farm at time t, and the T set (t) is the optimal temperature corresponding to the farm at time t, and the RH in (t) is the indoor humidity of the farm at time t, and the RH set (t) is the optimal humidity corresponding to the farm at time t.

[0105] Optionally, when the currently running subsystem in the multi-energy coupling energy supply system is the heating subsystem, the heating subsystem adjusts the real-time temperature in the farm to the T0, comprising:

[0106] When the T is less than the minimum value of the suitable temperature range, the sub-unit that generates the most heat at the current time in the heating subsystem is determined as the target sub-unit, and the farm is heated by the target sub-unit.

[0107] If the heat generated by the target sub-unit exceeds the optimal content range, the sub-unit that generates the most heat at the current time is determined as the target sub-unit from the other sub-units in the heating subsystem except the target sub-unit, and the farm is heated by the target sub-unit.

[0108] Optionally, when the currently running subsystem in the multi-energy coupling energy supply system is the refrigeration subsystem, the refrigeration subsystem adjusts the real-time temperature in the farm to the T0, comprising:

[0109] In the case that the T is greater than the maximum value of the suitable temperature interval, the air source heat pump refrigeration unit is used to refrigerate the farm;

[0110] After the air source heat pump refrigeration unit adjusts the real-time temperature in the farm to the suitable temperature interval, the ground source heat pump refrigeration unit is used to refrigerate the farm;

[0111] When it is determined that the refrigeration capacity currently generated by the air source heat pump refrigeration unit and the ground source heat pump refrigeration unit is less than the refrigeration capacity required for adjusting the real-time temperature in the farm from T to T0, the humidity adjusting device is used to lower the indoor temperature of the farm.

[0112] Optionally, the control module 203 uses the humidity adjusting device to lower the indoor temperature of the farm, including:

[0113] In the case that the RH is in the suitable humidity interval, but the real-time temperature in the farm is not in the current suitable temperature interval, the humidity adjusting device is used to fine-tune the indoor temperature of the farm.

[0114] Optionally, the control of the humidity adjusting device adjusts the humidity in the farm by analyzing the humidity deviation degree and the real-time temperature in the farm, including:

[0115] In the case that the RH is greater than the maximum value of the suitable humidity interval, but the T is in the current suitable temperature interval, the humidity adjusting device is controlled to start the lowest gear with the minimum humidity lowering intensity, and the humidity in the farm is lowered according to the lowest gear with the minimum humidity lowering intensity.

[0116] In the case that the RH is less than the minimum value of the suitable humidity interval, but the T is in the current suitable temperature interval, the humidity adjusting device is controlled to start the lowest gear with the minimum humidity increasing intensity, and the humidity in the farm is increased according to the lowest gear with the minimum humidity increasing intensity.

[0117] Optionally, the method for building the multi-energy coupling energy supply system includes:

[0118] The single-day operation cost F of the farm in the heating period and the single-day operation cost F of the farm in the refrigeration period are obtained before the system is built c , the heating capacity Q required by the farm in the heating period n1 , and the refrigeration capacity Q required by the farm in the refrigeration period n2 ; the F c = L og *F g + Q oe *F e+L ow *F w The L og The F represents the daily natural gas consumption of the farm before the multi-energy coupling power supply system was installed. g Q represents the unit price of natural gas. oe The F represents the daily electricity consumption of the farm before the multi-energy coupling power supply system was installed. e The price per unit of electricity, L ow The F represents the daily water consumption of the farm before the multi-energy coupling power supply system was installed. w Price per unit of water volume;

[0119] The construction function determines the building area A1 corresponding to the biogas heating unit, the number of air pumps n1 used to realize the air source heat pump heating unit and the air source heat pump cooling unit, and the number of geothermal pumps n2 used to realize the ground source heat pump heating unit and the ground source heat pump cooling unit; the construction function indicates the daily operating cost f corresponding to the heating period after the heating subsystem is built. c Less than F corresponding to the heating period c Under the condition that the predicted heating demand Qr1≥Q n1 Furthermore, the heating subsystem with the lowest setup cost, and the daily operating cost f during the cooling period after setting up the cooling subsystem. c Less than the F corresponding to the cooling period c In this case, establish a predicted cooling capacity Q r2 ≥Q n2 It also has the lowest setup cost for a refrigeration subsystem.

[0120] Alternatively, the general formula for calculating the minimum construction cost is:

[0121] min{A1*C1+n1*C2+n2*C3+C4+C5}

[0122] C1 is the cost of building a biogas digester per unit area, C2 is the cost of a single air pump, C3 is the cost of a single geothermal pump, C1 is the cost of building a carbonization furnace for burning biogas and biomass pellets, and C2 is other costs of building the multi-energy coupled power supply system.

[0123] It should be noted that the terms such as first and second are used herein merely to differentiate one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0124] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, and the aforementioned program can be stored in a computer readable storage medium, and the program executes the steps including the above-mentioned method embodiments when executed; and the aforementioned storage medium includes various storage medium capable of storing program codes such as ROM, RAM, magnetic disc or optical disc.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A multi-energy coupling power supply method applied to aquaculture farms, characterized in that, This technology is applied to a multi-energy coupled energy supply system, which includes a heating subsystem and a cooling subsystem. The heating subsystem includes an air source heat pump heating unit, a ground source heat pump heating unit, a biogas heating unit, a biomass pellet heating unit, and a municipal heating unit. The cooling subsystem includes an air source heat pump cooling unit, a ground source heat pump cooling unit, and a humidity control device. The method includes: Obtain the current real-time temperature (T) and real-time humidity (RH) inside the farm; Determine whether the real-time temperature T is equal to the currently set optimal suitable temperature T0 in the farm; If T equals T0, then the multi-energy coupled power supply system is controlled to maintain its current state; If T is not equal to T0, then it is determined whether T is within the current suitable temperature range. If T is within the current suitable temperature range, the heating subsystem or cooling subsystem in the multi-energy coupled energy supply system is controlled to adjust the real-time temperature in the farm to T0 according to a preset fine-tuning method. If T is not within the current suitable temperature range, the heating subsystem or cooling subsystem in the multi-energy coupled energy supply system is controlled to adjust the real-time temperature in the farm to T0 according to the optimal operation scheme. The optimal operation scheme is determined based on an optimization objective function used to indicate the minimum adjustment cost. Determine whether the real-time humidity RH is within the suitable humidity range. If the RH is not within the suitable humidity range, control the humidity regulating device to adjust the humidity in the farm by analyzing the degree of humidity deviation and the real-time temperature in the farm. The optimization objective function is: n is the number of time periods that a single day can be divided into, and P e (t) represents the electricity price for the time period corresponding to time t, W e (t) represents the grid interaction power, P g (t) represents the natural gas price for the time period corresponding to time t, W g (t) represents the natural gas interaction power for the time period corresponding to time t, η g For natural gas operating efficiency, P w (t) represents the water price for the time period corresponding to time t, V w P(t) represents the water consumption during the time period corresponding to time t. b (t) represents the price of biomass pellet fuel for the time period corresponding to time t, M b (t) represents the biomass pellet fuel consumption during the time period corresponding to time t; T s The effect of temperature within the farm on livestock and poultry on a single day, RH s The impact of humidity within the farm on livestock and poultry on a single day; α is the temperature sensitivity coefficient for livestock and poultry in the farm, β is the humidity sensitivity coefficient for livestock and poultry in the farm, and T in (t) represents the indoor temperature of the farm at time t, T set (t) represents the optimal temperature (RH) of the aquaculture farm at time t. in (t) represents the indoor humidity (RH) in the farm at time t. set (t) represents the optimal humidity for the aquaculture farm at time t.

2. The method according to claim 1, characterized in that, When the currently operating subsystem in the multi-energy coupled power supply system is the heating subsystem, the heating subsystem adjusts the real-time temperature in the farm to T0, including: If T is less than the minimum value of the suitable temperature range, the sub-unit with the largest heat output at the current moment in the heating subsystem is determined as the target sub-unit, and the farm is heated through the target sub-unit. If the heat generated by the target subunit exceeds the optimal content range, then the subunit with the largest heat generation at the current moment is determined from the other subunits in the heating subsystem excluding the target subunit, and the process returns to the step of heating the farm through the target subunit.

3. The method according to claim 1, characterized in that, When the currently operating subsystem in the multi-energy coupled power supply system is the refrigeration subsystem, the refrigeration subsystem adjusts the real-time temperature in the farm to T0, including: When T is greater than the maximum value of the suitable temperature range, the farm is cooled by the air source heat pump refrigeration unit; After the air source heat pump refrigeration unit adjusts the real-time temperature in the farm to the suitable temperature range, the ground source heat pump refrigeration unit then refrigerates the farm. When it is determined that the cooling capacity currently generated by the air source heat pump cooling unit and the ground source heat pump cooling unit is less than the cooling capacity required to adjust the real-time temperature in the breeding farm from T to T0, the indoor temperature of the breeding farm is reduced by the humidity regulating device.

4. The method according to claim 3, characterized in that, The method of reducing the indoor temperature of the breeding farm through the humidity regulating device includes: When the RH is within a suitable humidity range, but the real-time temperature in the farm is not within the current suitable temperature range, the indoor temperature of the farm is finely adjusted by the humidity regulating device.

5. The method according to claim 1, characterized in that, The humidity control device adjusts the humidity in the aquaculture farm by analyzing the degree of humidity deviation and the real-time temperature in the farm, including: When RH is greater than the maximum value of the suitable humidity range, but T is within the current suitable temperature range, the humidity regulating device is controlled to start at the lowest setting with the least humidity reduction force, and the humidity in the farm is reduced according to the lowest setting with the least humidity reduction force. When RH is less than the minimum value of the suitable humidity range, but T is within the current suitable temperature range, the humidity regulating device is controlled to start at the lowest setting with the least humidity increase, and the humidity in the farm is increased according to the lowest setting with the least humidity increase.

6. The method according to claim 1, characterized in that, The method for constructing the multi-energy coupled power supply system includes: Obtain the daily operating cost F of the farm during the heating and cooling periods before the system was installed. c And calculate the heating amount Q required by the farm during the heating season. n1 The required cooling capacity Q of the farm during the cooling period. n2 ;F c =l og *F g +Q oe *F e +L ow *F w L og F represents the daily natural gas consumption of the farm before the multi-energy coupling power supply system was installed. g Q represents the unit price of natural gas. oe F represents the daily electricity consumption of the farm before the multi-energy coupling power supply system was installed. e Price per unit of electricity, L ow F represents the daily water consumption of the farm before the multi-energy coupling power supply system was installed. w Price per unit of water volume; The construction function determines the building area A1 corresponding to the biogas heating unit, the number of air pumps n1 used to realize the air source heat pump heating unit and the air source heat pump cooling unit, and the number of geothermal pumps n2 used to realize the ground source heat pump heating unit and the ground source heat pump cooling unit; the construction function indicates the daily operating cost f corresponding to the heating period after the heating subsystem is built. c Less than F corresponding to the heating period c Under the condition that the predicted heating demand Qr1≥Q n1 Furthermore, the heating subsystem with the lowest setup cost, and the daily operating cost f during the cooling period after setting up the cooling subsystem. c Less than the F corresponding to the cooling period c In this case, establish a predicted cooling capacity Q r2 ≥Q n2 It also has the lowest setup cost for a refrigeration subsystem.

7. The method according to claim 6, characterized in that, The general formula for calculating the minimum construction cost is: min{A1*C1+n1*C2+n2*C3+C4+C5} C1 is the cost of building a biogas digester per unit area, C2 is the cost of a single air pump, C3 is the cost of a single geothermal pump, C1 is the cost of building a carbonization furnace for burning biogas and biomass pellets, and C2 is other costs of building the multi-energy coupled power supply system.

8. A multi-energy coupling power supply system for use in livestock farms, characterized in that, The method according to any one of claims 1-7 includes a heating subsystem, a cooling subsystem, and a control module; the heating subsystem includes an air source heat pump heating unit, a ground source heat pump heating unit, a biogas heating unit, a biomass pellet heating unit, and a municipal heating unit; the cooling subsystem includes an air source heat pump cooling unit, a ground source heat pump cooling unit, and a humidity control device. The control module is used to obtain the current real-time temperature T and real-time humidity RH inside the farm. Determine whether the real-time temperature T is equal to the currently set optimal suitable temperature T0 in the farm; If T equals T0, then the multi-energy coupled power supply system is controlled to maintain its current state; If T is not equal to T0, then it is determined whether T is within the current suitable temperature range. If T is within the current suitable temperature range, the heating subsystem or cooling subsystem in the multi-energy coupled energy supply system is controlled to adjust the real-time temperature in the farm to T0 according to a preset fine-tuning method. If T is not within the current suitable temperature range, the heating subsystem or cooling subsystem in the multi-energy coupled energy supply system is controlled to adjust the real-time temperature in the farm to T0 according to the optimal operation scheme. The optimal operation scheme is determined based on an optimization objective function used to indicate the minimum adjustment cost. Determine whether the real-time humidity RH is within a suitable humidity range. If the RH is not within a suitable humidity range, control the humidity regulating device to adjust the humidity in the farm by analyzing the degree of humidity deviation and the real-time temperature in the farm.

Images