Agricultural industrial park near-zero carbon realization method based on time-shiftable load scheduling
By analyzing the time-shiftable characteristics and prioritizing the load equipment in agricultural industrial parks, and combining the spatiotemporal coupling and power regulation of energy supply equipment, the problem of high proportion of unnecessary carbon emissions and time-shiftable loads in facility agriculture parks has been solved, achieving near-zero carbon emissions and improved energy utilization efficiency.
Patent Information
- Application Number
- CN202210261288.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-03-16
- Publication Date
- 2026-01-30
- Estimated Expiration
- 2042-03-16
AI Technical Summary
Facility agriculture industrial parks suffer from high levels of non-essential carbon emissions and a high proportion of shiftable loads, which affect energy efficiency and cause environmental pollution.
By analyzing the time-shifting characteristics of load equipment in agricultural industrial parks, a load priority ranking is constructed, and spatiotemporal coupling is performed in conjunction with energy supply equipment. Power regulation is then carried out under real-time power balance conditions to optimize carbon emissions.
Without reducing energy demand for infrastructure, we can effectively reduce carbon emissions, improve energy efficiency and economy, and achieve the goal of near-zero carbon emissions.
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Figure CN114626721B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of agricultural industrial park, and particularly relates to a near-zero carbon realization method for agricultural industrial park based on time-shiftable load scheduling. BACKGROUND
[0002] Energy carbon emission accounts for a large proportion in various carbon emissions, and is the main force of energy saving and emission reduction, which is of great significance to the realization of low-carbon economy and the sustainable development of human beings. At present, the agricultural greenhouse gas carbon emission has risen to the second place, only next to the industrial greenhouse gas emission, and the agricultural carbon emission has reached 23% of the total global anthropogenic emission. Modern facility agricultural industrial park has rich load equipment, including a large number of facility agricultural load and time-shiftable load. The unnecessary carbon emission problem caused by the energy production and consumption of each link of the comprehensive energy system of the facility agricultural industrial park is serious, and the proportion of time-shiftable load is high in the facility agricultural park.
[0003] Therefore, on the basis of the existing facility agricultural industrial park, how to solve the problems of unnecessary carbon emission of the facility agricultural industrial park and high proportion of time-shiftable load has become a problem to be solved by the technical personnel in the field. SUMMARY
[0004] In view of the above problems, the present application provides a near-zero carbon realization method for agricultural industrial park based on time-shiftable load scheduling, which can effectively reduce the carbon emission of the agricultural industrial park and improve the energy utilization efficiency of the agricultural industrial park.
[0005] The embodiment of the present application provides a near-zero carbon realization method for agricultural industrial park based on time-shiftable load scheduling, which comprises the following steps:
[0006] S1, performing time-shiftable characteristic analysis on the full-period operation basic load of the agricultural industrial park to be detected, outputting a time-shiftable load and a load time-shiftable time period and a load energy consumption amount of the time-shiftable load;
[0007] S2, according to the load time-shiftable time period and the load energy consumption amount, performing start-stop sequencing on the load equipment of the agricultural industrial park, constructing a load priority phasor, and performing priority sequencing on the time-shiftable load;
[0008] S3, coupling the time-shiftable load which has been subjected to priority sequencing with the energy supply equipment of the agricultural industrial park in space-time;
[0009] S4, comparing and calculating the carbon emission amount of the agricultural industrial park before and after the space-time coupling, realizing closed feedback control of near-zero carbon emission of the agricultural industrial park.
[0010] Further, the spatiotemporal coupling in the step S3 comprises: according to the operation constraint condition of the agricultural industrial park, performing power regulation under the condition of real-time power balance and considering the output constraint of the energy supply device.
[0011] Further, the operation constraint condition comprises: a power balance constraint, a photovoltaic output constraint, an adjustable time-shifted load constraint, a storage power and heat capacity constraint, and a storage power and heat unit time absorption or release power constraint.
[0012] Further, the power balance constraint is:
[0013] P PV (t) + P grid (t) + P bat (t) + H Sto (t) = P l (t) + H l (t)
[0014] In the above formula, P l (t) and H l (t) are the power consumptions of the electrical load and the heat load of the agricultural industrial park at time t respectively; P PV (t) is the photovoltaic output of the agricultural industrial park at time t; P grid (t) is the external input power of the agricultural industrial park at time t; P bat (t) is the power absorbed or released by the storage power unit of the agricultural industrial park at time t; H Sto (t) is the power absorbed or released by the storage heat unit of the agricultural industrial park at time t.
[0015] Further, the photovoltaic output constraint is:
[0016]
[0017] In the above formula, P PV (t) represents the photovoltaic output in the time period t; P N is the rated output of the photovoltaic component of the agricultural industrial park under standard test environment; f d is the attenuation coefficient of the photovoltaic component over time; G(t) represents the average solar irradiance irradiated on the photovoltaic component in the time period t; G ref represents the solar irradiance under standard test environment; a T is the temperature influence coefficient; T c is the surface temperature of the photovoltaic cell; T cref is the temperature under standard test condition.
[0018] Further, the adjustable time-shifted load constraint is:
[0019]
[0020] In the above formula, ΔP TS (t) is the adjustment power of the time-shiftable load at time t; is the maximum adjustment power of the time-shiftable load for power difference balance at time t.
[0021] Further, the storage power and heat capacity constraint is:
[0022]
[0023] In the above formula, SOC(i) is the state of charge of the storage battery of the agricultural industrial park; SOC min is the minimum allowable state of charge of the agricultural industrial park; SOC max is the maximum state of charge of the agricultural industrial park; S is the heat storage amount of the heat storage unit of the agricultural industrial park; S max is the maximum heat storage amount of the heat storage unit.
[0024] Further, the storage power and heat unit absorption or release power constraint per unit time is:
[0025]
[0026] In the above formula, P bat (i) is the absorption or release power per unit time of the storage unit of the agricultural industrial park; P bat_min and P bat_max are the lower limit and upper limit of the absorption or release power per unit time of the storage unit, respectively; H in,t and H out,t are the heat storage and heat release power per unit time of the heat storage unit of the agricultural industrial park, and are the maximum heat storage and heat release power of the heat storage unit, respectively.
[0027] Further, in step S3, the output constraint of the energy supply device is considered under the condition of real-time power balance for power regulation, including:
[0028] After low-pass filtering the power difference, the power prediction value of the heat pump and refrigerator at time t in the agricultural industrial park is obtained, and the power prediction value is corrected in combination with the cold and heat demand of the agricultural industrial park at time t to obtain the output power of the heat pump and refrigerator at time t; the power difference is the difference between the photovoltaic output and the electrical load of the agricultural industrial park;
[0029] High-frequency components in the output power are filtered by a high-pass filter, and power balance regulation is performed on the time-shiftable load according to the priority ranking by starting and stopping of the load equipment;
[0030] The remaining components of the output power are regulated by charging and discharging of the energy storage device in the agricultural industrial park.
[0031] Further, in the step S3, the power regulation is performed under the condition of real-time power balance and considering the output constraint of the power supply equipment, and further includes:
[0032] For the part of the power supply deficiency that cannot be met by the photovoltaic output, the external power distribution network is used for supplement.
[0033] Further, in the step S4, the carbon emissions of the agricultural industrial park before and after the space-time coupling are calculated and compared, including: calculating and comparing the direct combustion carbon emissions of primary energy, indirect carbon emissions of external input power and indirect carbon emissions of external input heat of the agricultural industrial park before and after the space-time coupling.
[0034] The beneficial effects of the above technical solutions provided by the embodiments of the present application at least include:
[0035] The method for realizing near-zero carbon of an agricultural industrial park based on time-shiftable load scheduling provided by the embodiments of the present application includes the following steps: analyzing the time-shiftable characteristics of the full-period operation basic load of an agricultural industrial park to be detected, outputting time-shiftable load, and load time-shiftable time period and load energy consumption of the time-shiftable load; according to the load time-shiftable time period and the load energy consumption, starting and stopping the load equipment of the agricultural industrial park to sort, constructing a load priority phasor, and prioritizing the time-shiftable load; time and space coupling the time-shiftable load which has been prioritized with the power supply equipment of the agricultural industrial park; calculating and comparing the carbon emissions of the agricultural industrial park before and after the space-time coupling to realize closed feedback control of near-zero carbon emissions of the agricultural industrial park. The method can realize the optimal goal of carbon emissions of the park under the existing constraint condition with the least carbon emissions on the premise of ensuring that the facility nature of the agricultural industrial park does not reduce the energy demand, which can effectively reduce environmental pollution and improve the energy utilization efficiency and economy of the agricultural industrial park.
[0036] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
[0037] The technical solutions of the present application will be further described in detail below with the help of drawings and examples. BRIEF DESCRIPTION OF DRAWINGS
[0038] The accompanying drawings are included to provide a further understanding of the present application, and are incorporated in and constitute a part of the specification. The drawings illustrate embodiments of the present application and, together with the description, serve to explain the principles of the present application. In the drawings:
[0039] Figure 1 A flow chart of an agricultural industrial park near-zero carbon implementation method based on time-shiftable load scheduling is provided for the embodiments of the present application;
[0040] Figure 2 A park energy supply structure schematic diagram provided for setting time shift priority is provided for the embodiments of the present application;
[0041] Figure 3 An overall control principle diagram of an agricultural industrial park light and heat storage comprehensive energy system is provided for the embodiments of the present application;
[0042] Figure 4 A time shift control strategy flow chart is provided for the embodiments of the present application;
[0043] Fig. 5(a) is a curve diagram of typical daily photovoltaic power and load power of an agricultural industrial park in summer provided for the embodiments of the present application;
[0044] Fig. 5(b) is a curve diagram of typical daily photovoltaic power and load power of an agricultural industrial park in winter provided for the embodiments of the present application;
[0045] Figure 6 A typical daily load difference bar chart of an agricultural industrial park is provided for the embodiments of the present application;
[0046] Fig. 7(a) is a bar chart of greenhouse gas emission amount of a typical day in summer before and after implementation control provided for the embodiments of the present application;
[0047] Fig. 7(b) is a bar chart of greenhouse gas emission amount of a typical day in winter before and after implementation control provided for the embodiments of the present application. DETAILED DESCRIPTION
[0048] Exemplary embodiments of the present disclosure will be described herein below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art.
[0049] The embodiments of the present application provide an agricultural industrial park near-zero carbon implementation method based on time-shiftable load scheduling, referring to Fig. 1, including the following steps: Figure 1
[0050] S1, analyze the time-shiftable characteristics of the full-period operation basic load of the agricultural industry park to be detected, output the time-shiftable load, and the load time-shiftable time period and load energy consumption of the time-shiftable load;
[0051] S2, according to the load time-shiftable time period and load energy consumption, start-stop sequencing is performed on the load equipment of the agricultural industry park, a load priority phasor is constructed, and the priority of the time-shiftable load is sequenced;
[0052] S3, time-space coupling is performed between the time-shiftable load which has been sequenced in priority and the energy supply equipment of the agricultural industry park;
[0053] S4, the carbon emissions of the agricultural industry park before and after time-space coupling are calculated and compared to realize closed feedback control of near-zero carbon emissions of the agricultural industry park.
[0054] The method can effectively reduce environmental pollution and improve the energy utilization efficiency and economy of the control system of the agricultural industry park by reasonable planning and operation optimization control of the multi-energy coupling system including electricity, gas, heat, etc. in the park. The proportion of new energy consumption in the park is effectively improved, and the energy carbon emissions of the facility agricultural park are reduced. The configuration of photovoltaic capacity and energy storage capacity (here, energy storage includes battery capacity for storing electricity, heat tank capacity for storing heat, water storage capacity for storing water, etc.) is reasonably coordinated and optimized. Under the premise of ensuring that the facility demand of the facility agricultural industry park does not decrease, the carbon emission optimization target of the park under the existing constraint condition is realized with the least carbon emission.
[0055] The above method provided by the embodiment will be described in detail below:
[0056] S1, analyze the time-shiftable characteristics of the full-period operation basic load of the agricultural industry park to be detected, output the time-shiftable load, and the load time-shiftable time period and load energy consumption of the time-shiftable load. The time-shiftable load refers to a load whose use time can be adjusted according to the energy supply condition, which is all other loads in the park except the non-time-shiftable load. The non-time-shiftable load of the park refers to, for example, park life energy, lighting, winch fixed time period start, etc.
[0057] S2, according to the load time-shiftable time period and load energy consumption, start-stop sequencing is performed on the load equipment (including: environmental control device, water and fertilizer management device, crop growth device, etc.) of the agricultural industry park, a load priority phasor is constructed, and the priority of the time-shiftable load is sequenced, thereby forming a complete time-shiftable load adjustment strategy. By adjusting the start-stop time of the time-shiftable load operation period of the facility greenhouse and the energy storage equipment (energy supply device, such as: photovoltaic module, heat pump, refrigerating machine, etc.), different time-shiftable load adjustment schemes are formed for selection. For different time-shiftable loads in the same scheme, load priority is set to form a scheme load priority phasor.
[0058] The load priority phasor K is defined as follows:
[0059] K = [k1,k2,…,k i ,…,k m ]
[0060] In the above formula, k i This indicates the load adjustment priority of time-shiftable load i, where m represents the number of time-shiftable loads in the park. Loads with higher priority are given priority for activation when the photovoltaic output (power output is achieved by photovoltaic modules, which include photovoltaic panels, inverters, and other photovoltaic power generation devices and accessories) is greater. (Refer to...) Figure 2 As shown, the load energy consumption and load shifting time periods output in step S1 are used to sort the start-up and shutdown of load equipment in the park's integrated energy system, generating a time-shiftable priority-based energy supply structure for the park. The load priorities need to be updated in the next time period, and the load start-up and shutdown sorting needs to be re-executed to form a complete time-shiftable load adjustment strategy. The load priority sorting needs to consider both energy consumption and the power margin for that time period; within the margin range, the greater the energy consumption, the higher the ranking.
[0061] S3. Prioritize and time-shiftable loads and couple them with the energy supply equipment (such as heat pumps and chillers) in the agricultural industrial park to achieve near-zero carbon emission control. Combine known park operating constraints with the goal of minimizing carbon emissions. Based on the operating constraints, and considering the output constraints of the park's energy supply devices (photovoltaics, heat pumps, chillers, etc.) under real-time power balance conditions, regulate the park's power output.
[0062] For facility agriculture industrial parks, the goal is to increase the productivity per unit area of greenhouses to improve economic returns. This requires more energy supply, which contradicts the need for lower carbon emissions. Therefore, near-zero carbon emission control for agricultural industrial parks needs to meet various constraints on park operation. These constraints include:
[0063] 1) Power balance constraints:
[0064] P PV (t)+P grid (t)+P bat (t)+H Sto (t)=P l (t)+H l (t)
[0065] In the above formula, P l (t) and H l (t) represents the power consumption of the electrical and thermal loads of the agricultural industrial park at time t; P PV(t) is the photovoltaic output of the agricultural industrial park at time t; P grid (t) is the external input power of the agricultural industrial park at time t; P bat (t) is the power absorbed or released by the storage unit of the agricultural industrial park at time t (here, the storage unit refers to a storage battery used for short-term storage of power in cooperation with photovoltaic power generation); H Sto (t) is the power absorbed or released by the heat storage unit of the agricultural industrial park at time t.
[0066] 2) Photovoltaic output constraint:
[0067]
[0068] In the above formula, P PV (t) represents the photovoltaic output in the t time period, with the unit of kW; P N is the rated output of the photovoltaic components (photovoltaic panels, inverters, and other photovoltaic power generation devices and auxiliary accessories) of the agricultural industrial park under standard test environment; f d is the attenuation coefficient of the photovoltaic components over time; G(t) represents the average solar irradiance on the photovoltaic components in the t time period; G ref represents the solar irradiance under standard test environment, which is generally taken as 1 kW / m 2 ; α T is the temperature influence coefficient; T c is the surface temperature of the photovoltaic cell, which is affected by the ambient temperature and wind speed; T cref is the temperature under standard test conditions.
[0069] 3) Adjustable time-shifted load constraint:
[0070]
[0071] In the above formula, ΔP TS (t) is the adjustment power of the time-shifted load at time t (the adjustment power of the time-shifted load used for balancing the output of the power supply equipment and the load power difference); f is the maximum adjustment power of the time-shifted load used for power difference balancing at time t.
[0072] 4) Storage and heat storage capacity constraint:
[0073]
[0074] In the above formula, SOC(i) is the state of charge of the storage battery of the agricultural industrial park (referring to the remaining dischargeable power of the battery at that time); SOC min is the minimum allowed state of charge of the agricultural industrial park; SOC maxS represents the maximum state of charge of the agricultural industrial park; S represents the heat storage capacity of the thermal storage units (referring to thermal storage tanks and phase change thermal storage devices) in the agricultural industrial park; S max This represents the maximum heat storage capacity of the thermal storage unit.
[0075] 5) Power constraint per unit time for energy storage and thermal storage units:
[0076]
[0077] In the above formula, P bat (i) represents the power absorbed or released per unit time by the energy storage unit in the agricultural industrial park; P bat_min and P bat_max These represent the lower and upper limits of the power absorbed or released by the energy storage unit per unit time, respectively; H in,t and H out,t These represent the heat storage and heat release power of the heat storage unit in the agricultural industrial park per unit time. and These represent the maximum heat storage and heat release power of the thermal storage unit, respectively.
[0078] Furthermore, considering the output constraints of the park's energy supply devices (photovoltaics, heat pumps, chillers, etc.) under real-time power balance conditions, power regulation of the park is implemented, including:
[0079] Reference Figure 3 As shown, the near-zero carbon energy flow control center of the agricultural industrial park controls the operating power ΔP of the heat pump and electric chiller at time t-1. HP (t-1) and ΔP CP (t-1), adjustable load margin, multi-form energy storage device load capacity, and power fluctuation control center for purchased power from the distribution network. The power difference is filtered over a time of λ. a After low-pass filtering of (t), the power estimate ΔP of the heat pump and refrigerator at time t is obtained. HP_pre (t), ΔP CP_pre (t), after correcting the estimated value based on the cooling and heating demand at time t, we obtain the output power ΔP of the heat pump and the chiller at time t. HP (t) and ΔP CP (t). For the high-frequency components in the output power fluctuation, the filtering time is λ. b After high-pass filtering, the power balance is regulated by the time-shiftable load through start-stop operation; the remaining output power fluctuation components are regulated by the charging and discharging of energy by various types of energy storage devices (referring to various types of batteries, thermal storage tanks, phase change thermal storage devices, water storage tanks, etc. used for energy storage; the specific type and capacity of the energy storage device to be used need to be selected based on the on-site data); the part that is still not satisfied (the part of the power supply shortfall that the photovoltaic power supply in the park cannot meet the electricity load demand) is supplemented by the external distribution network.
[0080] The power difference of the park integrated energy system is:
[0081] P Flu (t) = P pv (t) - P Eload (t)
[0082] In the above formula, P Flu (t) is the power difference of the park integrated energy system; P pv (t) is the photovoltaic output; P Eload (t) is the park electrical load.
[0083] Under the normal operation of the park integrated energy system, photovoltaic power generation, time-shiftable load adjustment, multi-form energy storage devices (multi-form refers to energy storage devices including electrical form and thermal form), real-time power balance of external distribution network and load (park electrical, thermal and cold load) need to be met, so the system storage electrical and thermal power should meet the following formula:
[0084] P Flu (t) = P TS (t) + P MS (t) + ΔP HP (t) + ΔP CP (t) + P OP (t)
[0085] ΔP HP (t) = P HP (t) - P HPN
[0086] ΔP CP (t) = P CP (t) - P CPN
[0087] In the above formula, P TS (t) is the adjustment power of the time-shiftable load; P MS (t) is the adjustment power of the multi-form energy storage device; ΔP HP (t) is the output component of the heat pump participating in power fluctuation control; ΔP CP (t) is the output component of the refrigeration machine participating in power fluctuation control; P OP (t) is the purchased power; P HP (t) and P CP (t) are the actual outputs of the heat pump and the refrigeration machine, respectively; P HPN and P CPN are the outputs of the heat pump and the refrigeration machine when they do not participate in power fluctuation control.
[0088] By regulating the park's power output based on time-shiftable loads, a high photovoltaic penetration rate (with photovoltaics playing a dominant role in the energy supply chain, prioritizing photovoltaic power generation) is achieved for the park's comprehensive energy supply, maximizing the park's cleanest energy utilization. The photovoltaic modules within the park power the park's loads, increasing its own photovoltaic absorption rate while reducing external power purchases, carbon emissions, and traditional agricultural heating (gas-fired, coal-fired boilers, etc.), thus achieving clean energy use.
[0089] Specifically, given a fixed photovoltaic (PV) capacity in the park, the total PV output only varies with time. For the PV output at time t, the load consumption time is adjusted according to the time-shifted load priority. Taking a typical day in the park as an example, given a fixed PV capacity, the total PV output only varies with time, and the following adjustments are made: Figure 4 The process is shown below. First, the Monte Carlo simulation method is used to predict the PV (photovoltaic) output for the next day. Then, the PV output P at time t is obtained based on the PV curve. pv (t) and maximum photovoltaic output P pv,max Compare the photovoltaic output P at time t pv (t) and the electrical load P at time t Lod (t) magnitude, the load deficit is balanced in real time by the external distribution network, when P pv (t) is greater than P Lod At time (t), if the load P that can be time-shifted... m,Lod If (t) is greater than zero, then the real-time load curve is obtained based on the aforementioned time-shifted load priority, the load demand at time t after the time shift (PL(t)), and the real-time electrical, heating, and cooling load power set. When there is no time-shiftable load at time t, i.e., P m,Lod When (t) = 0, the electrical storage devices in the energy storage unit begin charging to meet real-time power balance. Finally, by subtracting the load curve obtained from the aforementioned process from the PV predicted output curve, the output of the external distribution network can be obtained, which is used to calculate the carbon emissions caused by the external distribution network supply.
[0090] Furthermore, the carbon emissions of the facility agriculture industrial park before and after the implementation of the near-zero carbon achievement method based on time-shiftable load scheduling are calculated and compared. The geographical boundary of the park is used as the system accounting boundary, where carbon emissions include direct carbon emissions and indirect carbon emissions. Direct carbon emissions refer to activities within the boundary as emission sources, while indirect carbon emissions refer to activities located within the boundary but carbon emission processes occurring outside the boundary, such as the use of external electricity. This embodiment mainly considers the accounting of energy carbon emissions in the integrated energy system of the facility agriculture park. The carbon emission sources mainly include the direct combustion of primary energy, externally input electricity, and externally input heat for carbon emission accounting.
[0091] Carbon emission accounting for the facility agriculture industrial park is conducted based on the classification of carbon emission sources. In accordance with the IPCC National Greenhouse Gas Inventory Guidelines, greenhouse gas emissions from the park are uniformly converted to CO2 equivalent, using the 100-year Global Warming Potential (GWP100) as the unit. Specifically, the GWP100 value of the j-th greenhouse gas is denoted as GWP. j :
[0092] 1) Carbon emissions from direct combustion of primary energy sources
[0093]
[0094] In the above formula, E B CO2 equivalent of carbon emissions from energy combustion; AD B,i B is the amount of fuel i burned; B,i The oxidation rate of fuel i is typically taken as 1; EF B,i,j The emission coefficient of greenhouse gas j from the combustion of fuel i can be obtained by looking up a table.
[0095] 2) Indirect carbon emissions from externally input electricity
[0096]
[0097] Although externally supplied electricity does not generate carbon emissions within the park, its generation process does, therefore, it is necessary to calculate its indirect greenhouse gas CO2 equivalent emissions. In the above formula, E... P CO2 equivalent of indirect emissions from externally input electricity; AD P External input power; EF P,j This represents the emission coefficient of greenhouse gas j from the power grid in the region where the facility agriculture industrial park is located.
[0098] 3) Indirect carbon emissions from externally input heat
[0099]
[0100] Although externally input heat does not generate carbon emissions within the park, its generation process does produce carbon emissions; therefore, it is necessary to calculate the indirect greenhouse gas CO2 equivalent emissions. In the above formula, E... V The CO2 equivalent indirectly emitted by externally input heat; AD V Inputting heat to the outside; q( P,T ) represents the enthalpy of steam at pressure P and temperature T; EF V,j This represents the emission coefficient of greenhouse gas j from the heating network in the region where the facility agriculture industrial park is located.
[0101] The following practical application example verifies the near-zero carbon implementation method for agricultural industrial parks based on time-shiftable load scheduling provided in this embodiment:
[0102] Referring to Figure 5(a), the total photovoltaic power, total load power before time shift, and total load power after time shift are curves for a typical summer day in the park. Referring to Figure 5(b), the total photovoltaic power, total load power before time shift, and total load power after time shift are curves for a typical winter day in the park. Figure 5(a) shows that the photovoltaic output time in the park is widely distributed in summer. Since the energy consumption time of the cooling and heating loads in summer is close to the peak photovoltaic output time, the load curve after time shift adjustment is basically consistent with the photovoltaic output curve. Figure 5(b) shows that the photovoltaic output time in the park is concentrated in winter, and the output curve is generally lower than in summer. However, the heat load demand in the park increases from 6 PM to 6 AM in winter. Therefore, it is necessary to adjust more time-shifted loads to the photovoltaic output period, and at the same time, adjust the energy storage time of the phase change thermal storage device and the energy storage device to be consistent with the photovoltaic output time to maximize the photovoltaic absorption ratio. As shown in Figure 5(b), the load curve after time shift adjustment on a typical winter day is basically consistent with the photovoltaic output curve.
[0103] The analysis focuses on two typical summer days: 10:00 AM and 4:00 PM. At 10:00 AM, the information center compiles data on photovoltaic (PV) output and load demand. It is found that even after adjusting the load shifting capacity from the previous period, a significant difference remains between the load and PV output. By querying the load shifting priority database, it is determined that the plasma nitrogen fixation and water treatment devices should be prioritized for nitrogen nitrification, thus aligning the load curve with the PV output curve. At 4:00 PM, PV output decreases significantly. Therefore, by querying the load shifting priority database and performing load reduction calculations, the biogas digester heat pump with lower load shifting priority is shut down first to accommodate the PV output decline, effectively tracking the PV output curve.
[0104] Furthermore, photovoltaic power output is concentrated in a short period of time, making it difficult to meet the energy needs of small-scale facility agriculture parks with low-capacity configurations across all time scales. Therefore, it is necessary to operate energy storage devices within the park and supply energy from the external power grid during non-photovoltaic power output periods. In this embodiment, the energy supply equipment during non-photovoltaic power output periods within the facility agriculture park mainly refers to energy storage and thermal storage devices. Since the load shifting strategy essentially only changes the energy consumption time of the shiftable load and does not change the overall energy consumption of the park, based on the typical daily photovoltaic power and load power curves of the park shown in Figures 5(a) and 5(b), we can obtain... Figure 6 The figure shows the typical daily load difference in the park after implementing the time-shift strategy.
[0105] Figure 6 The energy difference shown requires power supply from the external power grid, provided that... Figure 6Given the load demand difference shown, and referring to the guidelines for greenhouse gas emissions from energy consumption, the carbon emission factors for the Northwest Regional Power Grid are shown in Table 1. The CO2 equivalent of the 100-year global warming potential is shown in Table 2.
[0106] Table 1 Carbon Emission Factors of Northwest Regional Power Grid
[0107]
[0108] Table 2 CO2 equivalent of GWP100
[0109] Greenhouse gas CO2 [CAT] N2O <!-- 8 --> GWP100 1 25 298
[0110] Using the carbon emission accounting method provided in this embodiment, the typical daily carbon emissions of the traditional park (i.e., the park optimized with the goal of minimizing annual operating costs) and the park before and after the implementation of the near-zero carbon realization strategy are calculated, as shown in Figure 7(a) and Figure 7(b).
[0111] This embodiment provides a near-zero carbon emission reduction method for agricultural industrial parks based on time-shiftable load scheduling. Addressing the high proportion of time-shiftable loads in agricultural industrial parks, this method applies time-shiftable load control strategies to the daily scheduling of the integrated energy system, effectively increasing the park's renewable energy consumption ratio, reducing carbon emissions, and rationally coordinating and optimizing the configuration of photovoltaic and energy storage capacities. Under the premise of ensuring that the energy demand of the facilities in the agricultural industrial park is not reduced, it achieves the optimal carbon emission target for the park with the minimum carbon emissions within existing constraints. Furthermore, through an improved carbon emission statistics method for facility agriculture parks, a more comprehensive energy carbon emission statistics can be achieved, verifying the near-zero carbon emission reduction effect of the method after implementation.
[0112] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A method for achieving near-zero carbon in an agricultural industrial park based on time-shiftable load scheduling, characterized in that, Comprise the following steps: S1, the time-shiftable characteristic analysis of the full period operation basic load of the agricultural industry park to be detected is carried out, and the time-shiftable load, the load time-shiftable time period and the load energy consumption of the time-shiftable load are output; S2, according to the load time-shiftable time period and the load energy consumption, the load equipment of the agricultural industry park is started and stopped sequencing, the load priority phasor is constructed, and the priority of the time-shiftable load is sorted; S3, the time-shiftable load which has carried out priority sorting is coupled with the energy supply equipment of the agricultural industry park in space-time; According to the operation constraint condition of the agricultural industry park, the output constraint of the energy supply equipment is considered under the condition of real-time power balance, including: The power difference is low-pass filtered to obtain the power estimation value of the heat pump and refrigerator at t time in the agricultural industry park, and the power estimation value is corrected in combination with the cold and heat demand of the agricultural industry park at t time to obtain the output power of the heat pump and refrigerator at t time; The power difference is the difference between the photovoltaic output and the electrical load of the agricultural industry park; The high-frequency component in the output power is high-pass filtered, and the power balance regulation and control of the load equipment is carried out by the time-shiftable load according to the priority sorting through the start and stop of the load equipment; The remaining components of the output power are regulated and controlled by the charging and discharging of the energy storage device in the agricultural industry park; S4, the carbon emission of the agricultural industry park before and after the space-time coupling is calculated and compared, and the closed feedback control of the near-zero carbon emission of the agricultural industry park is realized.
2. The near-zero carbon implementation method for an agricultural industrial park based on time-shiftable load scheduling according to claim 1, characterized in that, The operation constraint condition includes: power balance constraint, photovoltaic output constraint, adjustable time-shiftable load constraint, storage capacity constraint, and storage unit power absorption or release constraint.
3. The method for achieving near-zero carbon emissions in agricultural industrial parks based on time-shiftable load scheduling as described in claim 2, characterized in that, The power balance constraint is: P PV (t)+P grid (t)+P bat (t)+H Sto (t)=P l (t)+H l (t) In the above formula, P l (t) and H l (t) are the power consumptions of the electrical load and the thermal load of the agricultural industrial park at time t, respectively; P PV (t) is the photovoltaic output of the agricultural industrial park at time t; P grid (t) is the external input power of the agricultural industrial park at time t; P bat (t) is the power absorbed or released by the electricity storage unit of the agricultural industrial park at time t; H Sto (t) is the power absorbed or released by the heat storage unit of the agricultural industrial park at time t.
4. The method for achieving near-zero carbon emissions in agricultural industrial parks based on time-shiftable load scheduling as described in claim 2, characterized in that, The photovoltaic output constraint is: In the above formula, P PV (t) represents the photovoltaic output in the t time period; P N is the rated output of the photovoltaic module of the agricultural industrial park under standard test environment; f d is the attenuation coefficient of the photovoltaic module over time; G(t) represents the average solar irradiance irradiated on the photovoltaic module in the t time period; G ref represents the solar irradiance under standard test environment; a T is the temperature influence coefficient; T c is the surface temperature of the photovoltaic cell; T cref is the temperature under standard test conditions.
5. The near-zero carbon implementation method for agricultural industrial park based on time-shiftable load scheduling according to claim 1, characterized in that, In the step S4, the carbon emission of the agricultural industry park before and after the space-time coupling is calculated and compared, including: the direct combustion of primary energy, indirect carbon emission of external input power and indirect carbon emission of external input heat of the agricultural industry park before and after the space-time coupling are calculated and compared.
Citation Information
Patent Citations
Comprehensive energy balance scheduling method for industrial park
CN109858759A