22 results about "Net energy" patented technology

The invention discloses a flexible and extensible agricultural and pastoral district multivariate energy consumption and carbon emission data acquisition method, relates to the technical field of data acquisition, is used for solving the problem that the utilization efficiency of edge side computing resources is reduced, and aims at solving the problem that the utilization efficiency of edge side computing resources is reduced by taking edge nodes as core computing carriers and introducing an operation monitoring mechanism based on a scheduling period. The method comprises the following steps: performing quantitative evaluation on carbon emission calculation duration and result output timeliness, constructing a calculation pressure index, judging an edge node operation state through a regulation and control identification mechanism, calling park net energy flow data, analyzing a park regulation and control fluctuation state, and selecting different calculation strategies and parameter processing paths. According to the method, multi-element energy consumption parameters are sorted and classified, precision compensation or link shortening processing is carried out in combination with the calculation power margin, self-adaptive adjustment of the calculation load along with the operation state is achieved, and the utilization efficiency of edge side calculation resources is improved while the timeliness of carbon emission estimation is guaranteed.

The invention provides a feed preparation method based on an animal net energy system and a high amino acid balance model. The feed preparation method comprises the following steps: establishing an animal net energy system energy demand model; establishing a high amino acid balance model; outputting preliminary feed formula data by using the energy demand model of the animal net energy system; inputting the preliminary feed formula data into the high amino acid balance model, analyzing the preliminary feed formula data by the high amino acid balance model, and outputting animal feed formula data; selecting corresponding materials according to the animal feed formula data; the materials are pretreated; and mixing the materials to prepare the corresponding animal feed. According to the feed preparation method based on the animal net energy system and the high amino acid balance model, the feed prepared through the method has the high conversion rate, the breeding cost can be reduced, and environmental pollution can be reduced.

This invention provides a ship drag reduction optimization method based on the EEXI standard, belonging to the field of ship energy efficiency optimization technology. The method involves arranging multiple independently driven adaptive suction drag reduction devices in an array on the ship's hull. The impellers are driven by the impact of the ship's navigating water flow to generate rotational power, requiring no external energy source. A centrifugal governor automatically adjusts the throttle valve opening according to the ship's speed, adaptively matching the suction flow rate with the speed, maintaining optimal boundary layer suction intensity across the entire speed range, effectively thinning the boundary layer and reducing frictional resistance. The device adopts a purely mechanical structure, equipped with a friction-type overload clutch, and features anti-clogging, anti-marine organism attachment, and triple sealing functions. It is modularly installed for convenience, has a short retrofit cycle, low cost, and high reliability. This invention can significantly reduce ship fuel consumption and carbon emissions, achieving a net energy saving rate of 10%–15%, effectively improving the EEXI compliance rate of older ships, and is suitable for energy-saving retrofits and new construction designs of various displacement-type ships.

1. The name of the design product: guard net energy dissipation pole. 2. The use of the design product: used in various guard nets, to absorb and dissipate energy. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

A model for predicting the net energy available to a companion animal from a pet food is provided. The model can be used to determine the appropriate amount of a food to feed a companion animal, and / or to provide feeding guidelines for any type of food, for any companion animal, and such methods are provided. Also provided are methods of packaging food for a companion animal, animal, and methods of maintaining a desired weight, or effecting weight loss, in a companion animal.

The application discloses a photovoltaic panel washing method and device based on environmental field temperature and humidity analysis, and relates to the technical field of power generation equipment cleaning. The method comprises the following steps: acquiring environmental information and pollution degree of a photovoltaic panel, and judging whether the environmental water in the environment where the photovoltaic panel is located meets the minimum water required for cleaning based on the environmental information and the pollution degree; when the minimum water required for cleaning is met, the consumed energy required for cleaning and the predicted increased energy production of the photovoltaic panel from the current cleaning to the next cleaning are predicted, and the consumed energy at least comprises the condensation energy required when a condenser condenses the environmental water, the pumping energy required when pumping the condensed water in the cleaning process and the mechanical energy of the water distribution cleaner; when the consumed energy is less than the predicted increased energy production, the water distribution cleaner is controlled to clean the photovoltaic panel by using the condensed water after the condensation of the environmental water. In this way, the dependence on external water supply pipelines or water transport vehicles is avoided, and the net energy produced by the photovoltaic panel after cleaning is ensured to be positive, so that the waste of electric energy is avoided.

The invention relates to the technical field of structural vibration control and intelligent construction, in particular to an intelligent control system for hydraulic creeping formwork construction, which comprises an energy input evaluation unit for generating resonance power; the control behavior modeling unit generates control power; the system stability decision-making unit generates net energy flow and compares the net energy flow with a preset safety threshold value to generate an active damping control signal or a conventional synchronous mode signal; the target damping generation unit is used for responding to the active damping control signal and generating target damping power based on the net energy flow; the control instruction execution unit is used for generating a damping pressure instruction; the adaptive correction unit is used for generating a relative performance error based on the target damping power and the control power, and correcting the local damping coefficient according to the relative performance error; a complete energy closed-loop control system is constructed, and the technical problem that vibration may be intensified by a traditional control method is solved.

This invention relates to the field of energy management technology, and more particularly to a method and system for dynamic balance management of enterprise energy supply and demand. The method collects multi-source heterogeneous data from enterprises; extracts key features through spatiotemporal alignment and data fusion, and utilizes a multimodal variational autoencoder; inputs these features and enterprise physical topology parameters into an energy supply and demand balance prediction model constructed by fusing a deep kernel learning neural network based on kernel function improvement and a deep Gaussian process, predicting net energy demand for future periods; and then inputs the prediction results into an energy dispatch optimization decision model constructed based on a dense connection network and attention mechanism to generate the optimal energy allocation strategy. This method achieves closed-loop management of deep multi-source data fusion, accurate demand prediction, and intelligent optimization dispatch, improving the operational efficiency, economy, and dynamic response capability of enterprise energy systems, and is suitable for multi-energy collaborative management in complex industrial scenarios.

The invention discloses a method and a device for predicting a leakage hazard range of a nuclear facility, and relates to the technical field of nuclear response emergency. The method comprises the following steps: acquiring reconnaissance data corresponding to a nuclear facility leakage area; performing energy spectrum preprocessing on the gamma energy spectrum original pulse signal to obtain processed energy spectrum data, and performing background deduction processing on the processed energy spectrum data based on an adaptive SNIP algorithm to obtain net energy spectrum data; performing nuclide identification processing according to the net energy spectrum data to obtain a nuclide identification result, and performing nuclide activity concentration calculation based on the nuclide identification result and the nuclear radiation reconnaissance data to obtain nuclide activity concentration; performing source item inversion based on geographic data, meteorological data and nuclide activity concentration to obtain leakage source item information; and obtaining a hazard range prediction result based on the meteorological data, the leakage source item information and the nuclide activity concentration. According to the invention, the sampling precision of the system can be improved, the pulse accumulation can be reduced, the accumulation discarding problem can be effectively solved, and the adaptability is higher.

The utility model relates to the technical field of heating energy -conserving control, and disclose a heating secondary net energy -consaving controller, its characterized in that, including: fender no.

A method for predicting metabolic energy and net energy of cottonseed meal of medium-speed yellow-feathered broilers in the growing period comprises the following steps: collecting cottonseed meal samples from different sources, and measuring the crude protein content CP and the crude fat content EE of the cottonseed meal samples; the method comprises the following steps: taking medium-speed yellow-feather broilers as test animals, and carrying out a breathing heat measurement test to obtain oxygen consumption and carbon dioxide generation amount of the medium-speed yellow-feather broilers; on the basis of the oxygen consumption amount and the carbon dioxide generation amount, the heat production amount is calculated according to a Brouwer formula; obtaining an absolutely-eaten heat production value through an absolutely-eaten heat measurement test, and calculating heat increase consumption; and calculating metabolic energy AME and net energy NE of the cottonseed meal. The method solves the problems that at present, research on metabolic energy values of raw materials of the yellow-feather broiler feed is less, existing data are mostly based on white-feather broilers, so that actual nutritional requirements of the yellow-feather broilers cannot be reflected accurately, and application research of unconventional feed resources such as cottonseed meal in the yellow-feather broilers is limited, so that the metabolic energy values of the raw materials of the yellow-feather broiler feed cannot be reflected accurately. And the metabolic energy and net energy value data support of the system is lacked.

According to the gas extraction pump energy-saving benefit evaluation and regulation and control method based on the degradation characteristic of the drag reduction liquid, the pump rotating speed and the circulating flow serve as core operation parameters of the pump, and the power, the energy-saving rate and the drag reduction liquid viscosity change trend of the pump in the current operation state are monitored in real time with the extraction negative pressure and the suction flow unchanged; a degradation curve is fitted according to the change trend, a drag reduction liquid energy-saving benefit evaluation calculation model is established, and the maximum net energy-saving benefit is obtained; the rotating speed and the circulating flow of the pumps are cooperatively regulated and controlled to obtain the running states of the multiple sets of pumps, the maximum net energy-saving benefits in all the running states are calculated, and a relational expression between the maximum net benefits and pump core running parameters is constructed by means of the obtained pump running states and corresponding maximum net benefit data; and the optimal combination of the pump rotating speed and the circulating flow with the maximum net energy-saving benefit is solved, and the optimal regulation and control strategy of the extraction pump parameters is output. According to the method, the energy-saving net benefit of the pump after the drag reduction liquid is applied can be accurately calculated, and the global maximum net energy-saving benefit is obtained, so that the energy-saving benefit and the regulation and control efficiency are improved.

This invention relates to the field of structural vibration control and intelligent construction technology, specifically to an intelligent control system for hydraulic climbing formwork construction. The system includes: an energy input evaluation unit that generates resonant power; a control behavior modeling unit that generates control power; a system stability decision unit that generates net energy flow and compares it with a preset safety threshold to generate an active damping control signal or a conventional synchronization mode signal; a target damping generation unit that generates target damping power based on the net energy flow in response to the active damping control signal; a control command execution unit that generates damping pressure commands; and an adaptive correction unit that generates a relative performance error based on the target damping power and control power, and corrects the local damping coefficient according to the relative performance error. This invention constructs a complete energy closed-loop control system, solving the technical problem that traditional control methods may exacerbate vibration.

The application provides a wind-solar-hydrogen storage independent microgrid capacity configuration method based on sparse time sequence, adopts a whale optimization algorithm to generate equipment candidate capacity, takes minimum annual operation cost as an objective in the lower layer, incorporates wind and light abandonment and load reduction punishment, and constructs an operation optimization model. In view of the problems of strong energy storage coupling in long-period scheduling and low solving efficiency, a sparse time sequence scene strategy is provided: typical weeks are extracted and divided, it is assumed that the same typical week operation trajectory and cost are consistent, only hydrogen storage energy cross-period constraints are established at the beginning and end of the partition, the battery adopts week-scale net energy balance constraints, and the scale of energy storage coupling constraints is greatly reduced. Efficient one-time full-time annual cost optimization is realized, the solving efficiency and global optimization ability are improved while the long-period correlation is reserved, and the renewable energy utilization level is enhanced.

The application discloses a photovoltaic panel cleaning water mode control method and device based on energy efficiency analysis, and relates to the technical field of power generation equipment cleaning. The method comprises the following steps: firstly, based on environmental information and pollution degree, the total water consumption required for cleaning is accurately predicted, so as to estimate the water consumption required for cleaning according to actual cleaning demand, and the collected water quantity which needs to be additionally supplemented from the environment through the condenser is dynamically calculated in combination with the total water storage quantity of the water tank, so that the water resource allocation is matched with the actual demand, the cleaning interruption caused by insufficient water storage is prevented, and the waste caused by excessive water taking is prevented. In addition, the condensing energy consumption and the total water supply energy consumption are considered, and the size relationship between the condensing energy consumption and the total water supply energy consumption and the size relationship between the collected water quantity and the total water storage quantity are considered in the decision-making. In this way, the dependence on external water supply pipelines or water transport vehicles is avoided, and the net energy generated by the photovoltaic panel after cleaning is positive, so that the waste of electric energy is avoided.

The invention discloses a pig growth prediction method based on all-organism computing power and biochemical antagonism correction, which comprises the following steps: acquiring pig growth related data and carrying out data preprocessing to obtain a standard data set; according to the standard data set, effective net energy is calculated by adopting a host-microorganism double-track system model; according to the effective net energy, dynamically adjusting the bio-availability of the nutrients through a biochemical antagonism correction mechanism to obtain corrected nutrient data; according to the corrected nutrient data, enforced fat energy distribution logic and multi-factor limitation arbitration are executed, and the final protein deposition amount and fat deposition amount are determined; according to the final protein deposition amount and fat deposition amount, pig growth performance parameters are predicted, and a pig growth prediction result is obtained. According to the method, digital twinborn simulation and high-precision prediction of the growth performance of the pigs in a complex nutrition environment and under an atypical feeding condition are realized.

This invention discloses a floating hydropower recovery and energy-saving device suitable for low-head rivers, belonging to the fields of hydropower generation and fluid machinery. The device includes a floating platform, a sensing system, an actuator, and a control unit. Data is collected through a sensor array and an inertial measurement unit, and the effective inflow velocity vector is obtained through fusion processing using an extended Kalman filter. Sliding mode yaw control and dynamic pitch control are then performed sequentially. Non-contact torque transmission and maximum power point tracking are achieved through magnetic coupling transmission. The system's power consumption is dynamically managed based on the instantaneous inflow energy density and the energy storage unit's status. This device can also be extended to marine renewable energy fields such as low-head tidal currents, tidal currents of 300 kW and above, and wave generator sets of hundreds of kW, and can provide supporting clean power for offshore engineering equipment and deep-sea drilling equipment. This invention solves the problems of low capture efficiency, high system self-consumption, and limited net energy output under low-head dynamic flow fields.

The invention discloses an ocean mesoscale vortex and near-inertia internal wave energy exchange analysis method, which belongs to the technical field of ocean dynamics, and comprises the following steps: S1, determining a target mesoscale vortex region, obtaining high-resolution three-dimensional flow field data, and preprocessing to obtain standardized three-dimensional flow field data; s2, extracting a near inertia flow component and a background flow component through frequency domain filtering separation processing; s3, averaging the sliding time to obtain a Reynolds stress component; s4, obtaining a horizontal direction strain rate component through space derivative calculation and strain rate derivation processing; s5, substituting into an energy exchange equation to obtain an energy exchange rate; and S6, integral processing of depth and time is completed in combination with the seawater density, net energy exchange capacity is obtained, and discrimination of the energy transfer direction is realized. By the adoption of the method, high-precision quantitative analysis of the energy exchange direction and intensity of the mesoscale vortex and the near-inertia internal wave in the ocean and accurate judgment of the transmission direction are achieved.

The invention discloses a yak maintenance and growth net energy demand amount calculation method, and relates to the technical field of livestock breeding, and the method comprises the following steps: obtaining basic data of adult yaks through experiments, calculating maintenance net energy and metabolic energy demand amounts, and building a growth net energy demand amount model; the basic metabolism and body composition first-hand data of the plateau adult yaks are directly obtained by integrating gradient feeding, energy metabolism, gas metabolism and comparative slaughter tests, an accurate mathematical model is established according to the basic metabolism and body composition first-hand data, the calculation result directly reflects the real physiological needs of the yaks, scientificity is remarkably enhanced, and based on the model, the calculation result is more accurate. According to the method, the growth net energy demand amount required for maintaining net energy and target weight gain of the yaks of any weight can be accurately calculated, the feed utilization efficiency can be greatly improved, the feeding cost can be reduced, nutrient emission can be reduced, and the growth performance of the yaks can be optimized.

A betaine phosphate-containing feed additive for improving net energy levels, its preparation method, and its application belong to the field of feed additive technology. The preparation method includes: preparing compound betaine phosphate and compound methionine zinc, and mixing them; the preparation of compound betaine phosphate includes: preparing crude betaine phosphate, preparing a compound silica carrier, and crystallizing it; the preparation of compound methionine zinc includes: preparing an activated silica carrier, adsorbing starch, and adsorbing methionine zinc; the mixing involves mixing the compound betaine phosphate and compound methionine zinc, and stirring at room temperature to obtain the betaine phosphate-containing feed additive for improving net energy levels. The feed additive prepared by this invention has a strong effect on improving the net energy levels of broilers, is less prone to clumping, and has good storage resistance.

The application discloses a method and system for improving the methane yield of livestock and poultry manure anaerobic fermentation based on CO2 pressurized hydrothermal pretreatment, and belongs to the field of environmental engineering and biomass energy cross technology.The application introduces CO2 as a "green, reversible and in-situ" chemical additive into the hydrothermal system.Under the conditions of medium and low temperature and pressurization, the substrate modification is realized through the physical and chemical synergistic effects of in-situ acid catalytic depolymerization, ammonia nitrogen form regulation, blocking of side reactions and physical structure blasting.The methane yield of the anaerobic digestion of cow dung can be improved by 30% to 60%.The pathogenic bacteria can be efficiently killed, the residual antibiotics (such as oxytetracycline removal rate of 96.5%) can be degraded, and the risk of drug resistance gene diffusion can be reduced.The whole process does not use strong acid and alkali, and there is no secondary pollution;CO2 can be recycled in a closed loop by using the by-product of biogas purification, and the system has positive net energy output by cooperating with heat recovery technology, so the system has broad industrialization prospect.

The invention relates to the technical field of energy management and optimization in a coal chemical process, and discloses an energy utilization optimization method in a coal-to-methanol production process. A continuous operation cycle is equally divided into a plurality of sub time periods, a heat absorption / heat release state sequence is established according to a time sequence, thermal power is recorded in each section, energy is converted, and net energy is uniformly counted according to states; accumulating full-period net energy and counting the number of state switching times, and introducing a unit switching loss upper limit to construct a comprehensive evaluation target; screening a feasible solution set by combining the lowest heat absorption amount and the lowest heat release amount of the process, and selecting a scheduling sequence with the maximum evaluation target in the set. And performing temperature prediction, boundary amplitude limiting and quota complementation by using the system heat capacity and the initial temperature to form an amplitude limiting temperature sequence, identifying a maximum continuous heat release section, implementing equalization processing and updating a power sequence under the condition of meeting the temperature and power boundary conditions, and finally outputting a scheduling, power and temperature sequence which can be executed on site.