38 results about "Net energy" patented technology

The invention discloses a poultry multi-stage feed net energy in-vitro prediction method and device based on factorial screening, and relates to the technical field of animal husbandry. The method comprises the following steps: collecting and screening poultry feed raw material samples; analyzing the factors of the raw material components influencing the net energy value by adopting a factorization method to obtain a key component set; based on poultry feed raw material samples, determining the content of key components of each feed raw material and net energy values of the poultry feed raw material samples in different growth stages of poultry; based on the measured content of the key components of each feed raw material and the net energy values of the poultry feed raw material samples in different growth stages of poultry, performing principal component analysis to obtain predictive factors; constructing target net energy prediction equations of different growth stages of the poultry by using a linear regression analysis method based on the prediction factors; and performing net energy prediction on the poultry feed raw materials to be detected based on the target net energy prediction models of different growth stages of the poultry to obtain predicted net energy values of different growth stages of the poultry.

The invention discloses a method for predicting net energy of a wheat feed. The method comprises the following steps: preparing a basic feed, optionally selecting a plurality of kinds of wheat from different sources as raw materials to be tested, and respectively preparing test feeds; respectively measuring the approximate nutrient contents of Ti in the basic feed and the test feed, and respectively calculating the effective energy values of the basic feed and the test feed; according to the method, the prediction equation is constructed through the properties of the raw materials, the steps required by net energy prediction are simplified, net energy prediction is carried out based on the measured value, the accuracy is high, preparation of wheat feed is facilitated, a theoretical basis is provided for precise feeding of poultry, precise feeding is achieved, feed waste is reduced, and feed cost is saved; meanwhile, the wheat is used for preparing the feed, so that corn reduction and replacement are also contributed.

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 present invention discloses a long-term energy storage system for an aqueous liquid flow battery, which belongs to the field of energy storage technology and includes a data monitoring module. In the present invention, by arranging the data monitoring module inside, the energy storage situation of the aqueous liquid flow battery can be effectively monitored, and the high and low limits of the current can also be monitored. The monitoring information is relatively comprehensive and can provide a more comprehensive basis for subsequent data analysis. At the same time, a data processing module and a data analysis module are arranged inside. During the long-term energy storage process, the net energy storage data can be obtained, thereby calculating the storage energy per unit time. According to data comparison, the source of the abnormal data can be found, and then subsequent aqueous liquid flow battery modification analysis can be carried out. Through this design, not only the accuracy of the energy storage situation judgment can be improved, but also the insufficient situation of the aqueous liquid flow battery can be quickly obtained, so that the subsequent aqueous liquid flow battery can be improved, and the long-term energy storage effect of the aqueous liquid flow battery can be improved.

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.

The invention relates to the technical field of energy consumption monitoring, in particular to an elevator energy consumption monitoring method and system. The method comprises the following steps that an operation instruction sent by an elevator controller is responded, high-frequency synchronous sampling is conducted on electrical parameters of a frequency converter, the accelerated speed of a lift car, the position of a shaft and a brake control signal with the time sequence of the instruction as the reference, and an elevator start-stop event window covering the complete start-stop process is recognized; energy needed by static friction is analyzed according to the elevator start-stop event window, the net energy consumption of the stroke is calculated, the braking energy recovery efficiency is evaluated, and the braking recovery efficiency is obtained; and the elevator operation energy consumption index is evaluated according to the brake recovery efficiency, so that elevator energy consumption real-time monitoring is achieved. The elevator starting and stopping transient energy consumption monitoring system realizes monitoring of elevator starting and stopping transient energy consumption so as to quantify starting impact and real braking recovery efficiency.

The present invention specifically provides a flywheel type rockfall protection net buffer energy dissipator and a disaster warning system. The flywheel type rockfall protection net energy dissipator in the present invention mainly includes a steel rope, a flywheel, a restoring spring, and a power generation transmission shaft; a disaster warning system based on the flywheel type rockfall protection net buffer energy dissipator is also provided, which mainly includes a flywheel type buffer energy dissipator, a power generation module, a rockfall energy level discrimination and alarm control module, a on-site alarm release module, and a remote alarm information transmission module. The flywheel type buffer energy dissipator is installed on the rockfall protection net, and the rockfall drives the flywheel to provide power to the power generation module. The disaster level is determined through the rockfall energy level discrimination and alarm control module, and information is transmitted by using the on-site alarm release module and the remote alarm information transmission module. The present invention can buffer and reduce the kinetic energy of the rockfall impact, realize the monitoring and warning of rockfall disasters, and minimize the harm caused by road slope collapse and rockfall disasters.

Method 200 for controlling an energy storage facility comprises: Receiving a planned net energy output for a current time period 201 based on a forecast energy demand value for the current time period

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.

The present application relates to a kind of small-scale sludge pyrolysis gasification power generation method of net energy output, comprising the following steps: S1, the remaining sludge after sludge dewatering workshop treatment is treated with conditioning and high pressure low heat / no heat mechanical drying, and the sludge with water content of 40%±5% is obtained;S2, the sludge is treated with segmented heat drying, and the water content is reduced to below 20%;S3, the sludge is treated with high-temperature pyrolysis gasification, and the pyrolysis temperature is 900±50 DEG C;S4, the pyrolysis gas is stored after purification, heat exchange treatment and rapid cooling;The heat energy of heat exchange is used for heat drying treatment;S5, the pyrolysis gas is used for power generation, and the heat energy of the generator tail gas after heat exchange treatment is used for heat drying treatment.The corresponding sludge pyrolysis gasification power generation system is also provided.The method system is more suitable for small-scale sludge treatment system, can realize net energy output, save electricity and sludge disposal fee, reduce carbon emission, and the product also meets pollution control standard.

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 discloses a genetic algorithm optimized dynamic reconfigurable battery energy efficiency improvement method and device, and relates to the field of dynamic reconfigurable battery regulation, and the method comprises the steps: predicting the net energy loss of a preset time period through simulation, and randomly generating a plurality of groups of control strategies of a next reconstruction period as an initial population of a genetic algorithm; taking minimum net energy loss as an objective function, combining safe operation interval constraints of working current and terminal voltage of a battery unit, and adopting a penalty function method to construct a fitness function; and performing iterative optimization on the candidate solution by using a genetic algorithm, and finally selecting an optimal solution as a target control strategy of the next reconstruction period. According to the method, the accurate target control strategy is formulated through the genetic algorithm under the condition that the security constraint condition is met, the energy loss of the system is minimized through intelligent optimization, the accuracy of the control strategy of the dynamic reconfigurable battery system is improved, the problem of control process lag is solved, and the energy efficiency of the dynamic reconfigurable battery network is further improved.

There is provided a method for achieving a net energy target for building operation for a time period including a first sub-period prior to a current time and a second sub-period from the current time to an end of the time period. The method includes generating a first predicted range of energy consumption for a plurality of time steps in the second sub-cycle, a second predicted range of energy production for the plurality of time steps in the second sub-cycle is generated and a third predicted range of net energy amount for the plurality of time steps in the second sub-cycle is generated. The net energy amount is based on a difference between the energy consumption amount and the energy production amount. The method further includes providing a policy for the building operation based on the third predicted range and the net energy target.

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 provides a method for estimating a net energy value required by growth of largemouth bass, and the method comprises the steps: carrying out the calculation processing based on the experimental data of multiple parallel fasting experiments, and obtaining the maintenance net energy data of target fingerlings of different specifications; performing calculation processing based on experimental data of different feeding level experiments to obtain unit weight intake energy, unit weight deposition energy and growth net energy data; performing regression analysis on the unit weight intake energy and the unit weight deposition energy to obtain a regression equation; performing analysis and comparison processing in combination with the net energy maintaining data and the regression equation, and determining a basic metabolism value; combining the basic metabolism value and the growth net energy data to construct a model for predicting a net energy value required by growth; and inputting the predicted daily gain into a model for predicting the net energy value required by growth to obtain the net intake growth energy value required by the target fingerling. By means of the method, the efficiency of the feed is improved, unnecessary waste of the feed is reduced, economic benefits are improved, and sustainable development of aquaculture is promoted.

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.

According to the magnetic energy power mechanism, magnetic energy difference is artificially manufactured by using magnetic shielding materials inside and outside magnets on a stator and a rotor according to the principle that the heteropoles of the magnets attract each other, and the magnets rotate from a position with low magnetic energy to a position with high magnetic energy due to the heteropoles of the magnets attract each other, so that the rotor rotates according to a set direction; the magnetic shielding material on the stator controls the movement direction and the movement frequency through the motor, magnetic energy difference is repeatedly generated between the magnets of the stator and the rotor, so that the rotor continuously rotates, the magnets on the rotor and the stator can be regarded as a whole due to heteropole attraction and very small spacing distance, and the stress surfaces of the stator and the rotor are located in the middles of the magnets. The middle parts of the magnets are equal in magnetism and relatively stable in magnetic field, so that resistance generated by the magnetic field does not exist in the process that the motor pulls magnetic shielding movement inside and outside the magnets, friction force only needs to be overcome, energy output by the mechanism is far larger than energy consumed by the motor, and net energy output is achieved.

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.

The present disclosure is related to thermoelectric energy harvesting and powering of Internet-of-Things (IoT) devices and systems. The thermoelectric energy harvesting device includes a thermoelectric converter electrically coupled to voltage rectifier and a power storage medium. The first side of the thermoelectric converter is exposed to ambient air with fluctuating temperatures, while the second side is anchored to a stable temperature. Power generated across the temperature differential can be captured in the power storage medium. The harvester may also include a device to move the harvester relative to the air and, by generating convection cooling of the first side, increase the net energy harvested.

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.