47 results about "Energy integration" patented technology

The invention discloses a wave energy integration device based on multi-resonance motion control, and belongs to the technical field of offshore power generation, the wave energy integration device comprises a semi-submersible platform, the semi-submersible platform comprises a plurality of buoys and a central stand column, each buoy is divided into an upper buoy and a lower buoy, the bottom of each buoy is provided with a base, and the central stand column is arranged on the base. A floating fan is arranged on the central stand column, the buoys and the central stand column are connected through a truss, a water tank is arranged in the lower buoy, a water pump is arranged at the bottom of the water tank, a guide rail is vertically arranged in the water tank, and a heaving wave energy device is arranged on the guide rail through a transmission device. By the adoption of the structure, complementary power generation of wind energy and wave energy can be achieved. Triple resonance of the liquid in the water tank, the built-in heaving wave energy device and the balancing weight is achieved, the wave energy power generation efficiency can be improved through multi-resonance motion control, meanwhile, heaving motion of the platform is reduced, and therefore the power generation stability of a draught fan and the safety of an integrated system are improved.

The invention discloses a guide bearing bush automatic grinding system and method based on multi-parameter cooperative control, and relates to the field of intelligent grinding of high-precision bearing parts. The system comprises a state sensing module, a rhythm analysis module, a stage identification module, a target weight adjustment module, a scheduling coordination module, a curved surface contact equalization module, a clamp thermal deformation compensation module, a regional energy integration module and an end point intelligent discrimination module. The self-adaptive frequency adjustment and priority scheduling of each control variable are realized by collecting pressure, temperature rise, displacement, vibration and microchip information in real time and calculating the change rate of the information; in combination with grinding stage identification and task target weight reconstruction, control strategy switching is optimized; and high-consistency morphology control is realized through pressure spectrum correction, thermal drift compensation and regional energy adjustment. The method has the advantages of being fast in dynamic response, high in control precision, intelligent in abnormal intervention and the like, and the grinding quality and production efficiency of the guide bearing bush are remarkably improved.

The invention discloses a traffic energy fusion hub site selection model modeling method based on multi-dimensional potential, and belongs to the technical field of hub site selection related to test development. The problems that in the prior art, a traditional traffic energy fusion hub site selection model modeling method is insufficient in quantification precision, dynamic updating is difficult, and long-term prediction deviation exists are solved. According to the method, spatial correlation modeling and economic activity density calculation are carried out to obtain regional economic potential; constructing an objective function to obtain a composite index, and determining traffic accessibility by comparing candidate site selection points with non-added site selection points; determining the weight of each level index, and obtaining the land potential through weighting calculation; constructing a dynamic system measurement model, and determining urban development potential; and carrying out standardization and weighting processing on the score result of the potential to obtain a final site, and completing the calculation of the comprehensive score of the multi-dimensional development potential. The method effectively improves the long-term accuracy of urban development benefit prediction, and can be applied to hub site selection.

The invention relates to the technical field of detection circuits suitable for various electricity utilization information acquisition terminals, and discloses a detection circuit method suitable for various electricity utilization information acquisition terminals. The method comprises the following steps: setting an environment temperature, calibrating a shunt resistor and a thermistor, constructing a three-order resistance-temperature mapping relation, and calculating thermal resistance and thermal response characteristics to realize accurate modeling; a thermistor is attached to a shunt resistor, heat-conducting silicone grease is added to form a thermal coupling structure, voltage is collected through a constant current source and a differential amplifier, a resistance value is converted into temperature in real time, instantaneous current is inversely calculated based on a heat balance equation, then energy integration and grade judgment is completed, and various electrical parameter indexes are output. According to the method, modeling, collection, conversion and inversion processes are integrated, a complete thermal-electric detection link is constructed, a traditional current sensor is not needed, and the method has the advantages of being compact in structure, low in cost, flexible in deployment and the like and is suitable for a low-power-consumption distributed terminal.

The invention relates to the technical field of Internet of Things, in particular to a metering method, device and equipment of an electric energy meter and a medium. Acquiring a real-time voltage signal of the power grid according to a preset sampling period, and calculating to obtain a real-time power grid frequency of the power grid according to the real-time voltage signal; acquiring a preset nominal frequency, and calculating a compensation coefficient of the sampling period according to the nominal frequency and the real-time power grid frequency; according to the compensation coefficient, correcting a preset sampling period to obtain a corrected sampling period; and acquiring real-time voltage and real-time current of the power grid, and performing energy integration on the real-time voltage, the real-time current and the corrected sampling period to obtain a target metering result of the electric energy meter. According to the invention, the electric energy meter can track the frequency change of the power grid in real time, can correct the sampling period based on the frequency change of the power grid, counteracts the influence of the frequency fluctuation of the power grid on the energy integration, and improves the metering precision of the electric energy meter.

The present invention relates to a method for removing at least one contaminant contained in a gas to be treated by means of a temperature swing adsorption and regeneration treatment unit, the treatment unit comprising at least a first adsorber, a second adsorber and a third adsorber respectively containing a first set of regenerated adsorbent beds, a second set of regenerated adsorbent beds, and a third set of contaminant-loaded adsorbent beds, said method making it possible to implement better energy integration and to improve purification. The invention also relates to the associated gas treatment unit.

The invention relates to a multi-time scale optimization method and device for a multi-distributed resource virtual power plant, and the method comprises the steps: building a virtual energy storage model of an electric vehicle; based on the virtual energy storage model of the electric vehicle, constructing a day-ahead optimization model by taking the lowest electricity purchase cost as a target, and solving the day-ahead optimization model to obtain optimized charging and discharging scheduling of the electric vehicle and energy storage equipment and a switching plan of a reactive power compensation device; the method comprises the following steps: constructing an intra-day optimization model by taking the minimum wind and light curtailment as a target, taking charge and discharge scheduling of an electric vehicle and energy storage equipment and a switching plan of a reactive power compensation device as input of the intra-day optimization model, and solving the intra-day optimization model to obtain an intra-day reducible load and an optimization result of the energy storage equipment. According to the method, the problems of multi-energy integration and multi-time scale optimization in the virtual power plant can be solved.

According to the intelligent stadium energy efficiency management system provided by the invention, activity data in the stadium are accurately captured through the real-time monitoring module, air conditioning and illumination are automatically adjusted by using the environment self-adaptive adjustment module, and optimization of energy consumption is realized. The system adopts an advanced sensor network, a data processing algorithm and a machine learning model, including ARIMA and LSTM, to predict an energy consumption trend and formulate an intelligent scheduling strategy. In addition, the system comprises functions of dynamic data acquisition frequency adjustment and energy consumption monitoring and recording, and a user-friendly interface control and intelligent energy-saving unit. Green energy integration and carbon footprint estimation enhance the environmental protection characteristics of the system. The system not only improves the energy use efficiency, but also supports the goals of sustainability and environmental protection.

The invention relates to a method for removing at least one contaminant contained in a gas to be treated by means of a temperature swing adsorption and regeneration treatment unit comprising at least a first adsorber, a second adsorber and a third adsorber, these adsorbers respectively contain a first set of regenerated adsorbent beds, a second set of regenerated adsorbent beds and a third set of adsorbent beds loaded with contaminants, making it possible to implement better energy integration and improve purification. The invention also relates to an associated gas treatment unit.

The invention provides a distributed energy scheduling method and system based on a virtual power plant, and the scheduling method is also used for a scheduling system comprising an energy integration module, an energy power generation prediction module and the virtual power plant, and specifically comprises the steps: carrying out the grouping of distributed energy, and screening the target energy of each energy group; constructing a basic power generation prediction model of each energy group based on the historical power generation information of the corresponding target energy; correcting the basic power generation prediction model according to the historical power generation information and the historical scheduling information of each distributed energy source, obtaining a corresponding power generation prediction model and performing power generation prediction, obtaining a power generation prediction value of each distributed energy source, integrating the power generation prediction value of each distributed energy source by the virtual power plant, and constructing an energy scheduling strategy in combination with a scheduling target. According to the method, efficient and accurate independent modeling of each distributed energy source is realized through target energy source grouping screening, basic model establishment and historical information correction, the prediction accuracy can be effectively improved, and the accuracy of a scheduling strategy is further improved.

The present invention relates to a method for removing at least one contaminant from a gas to be treated by means of a temperature-modulated adsorption treatment unit with regeneration. The treatment unit comprises at least a first adsorber, a second adsorber, and a third adsorber, each containing, respectively, a first set of regenerated adsorbent beds, a second set of regenerated adsorbent beds, and a third set of contaminant-loaded adsorbent beds. The method allows for improved energy integration and enhanced purification. The invention also relates to an associated gas treatment unit. Figure 2 to be published

This invention discloses a collaborative frequency regulation system for regional energy integration, belonging to the field of power system automation technology. Addressing the technical problems of "resource isolation, delayed response, and insufficient accuracy" in traditional power system frequency regulation, this invention provides a collaborative frequency regulation system for regional energy integration, specifically including a carbon core control module, a multi-energy interface module, a signal processing module, a human-machine interaction module, and an auxiliary support module. Through "multi-module integration + hierarchical collaborative control," it achieves unified scheduling of thermal power, wind power, photovoltaic power, energy storage, and adjustable loads. This breaks down the traditional "information silos" and isolated scheduling of various energy sources.

The invention discloses a composite back frame energy integration structure based on a fuel cell. The composite back frame energy integration structure at least comprises a backpack; the back frame main body and the knapsack are integrated into a whole; air-cooling the fuel cell stack; the air-cooled fuel cell stack is fixedly mounted at the bottom of the back frame main body and serves as a bearing bottom plate of the back frame main body, and the outer contour of the air-cooled fuel cell stack is attached to the bottom of the backpack to form an integrated bearing structure; the gas supply system is integrated on the upper surface of an end plate of the air-cooled fuel cell stack through a fixing tool; and the heat dissipation system is fixedly mounted on the side surface of the air-cooled fuel cell stack. According to the composite back frame energy integration structure, low space occupation, efficient heat management and safe air supply are achieved, integration of an energy system and a bearing system is achieved, and the storage space of a backpack is not occupied while electric power supply is guaranteed.

This invention discloses a virtual power plant trading method based on a transportation-energy integration scenario, belonging to the field of virtual power plant trading technology. It includes the following steps: (1) transportation-energy data fusion collection and preprocessing; (2) hierarchical resource aggregation and status assessment; (3) dynamic trading demand prediction and matching; (4) blockchain trusted execution and feedback optimization; and (5) collaborative management of the entire battery lifecycle. This invention enables efficient collaborative trading of transportation and energy resources, significantly improving resource collaboration efficiency. Simultaneously, the trading response speed meets the grid's needs, and a trusted and secure trading system is constructed, maximizing battery value utilization and yielding significant economic and environmental benefits.

The invention discloses a modular photovoltaic-pendulum wave energy integration device, and belongs to the technical field of offshore power generation. Comprising a plurality of buoyancy tanks which are connected in sequence, a plurality of hydraulic supporting legs are arranged on the buoyancy tanks, photovoltaic panels are arranged on the hydraulic supporting legs, and a swing type wave energy power generation device is arranged between the buoyancy tanks through connecting rods; the swing type wave energy device comprises a plurality of hydraulic cylinders connected with the tail end of the connecting rod, the hydraulic cylinders are sequentially connected with a hydraulic cylinder energy storage device, a power generation device and a PTO device through connecting pipes, and the hydraulic energy storage device is arranged in the center of the interior of the swing type wave energy device. The PTO device is connected with the power generation device through a connecting cylinder. By the adoption of the structure, light energy and wave energy can be utilized at the same time for power generation, and through the arrangement of the wave energy device, efficient energy utilization is achieved while the motion response of a photovoltaic carrier is reduced.

The application discloses a kind of based on energy integration and dynamic anti-shake concentration behavior management and control method and system, it is related to mobile terminal man-machine interaction and concentration state management and control technical field.The method real-time acquisition terminal posture sensing data, maintain sliding window and extract acceleration component of vertical screen plane;When meeting posture condition, start concentration management and control, calibrate ambient noise baseline and dynamically generate anti-shake interruption threshold;During concentration state maintenance, real-time calculation deviates from the weighted energy integration of benchmark posture, and if integral is lower than threshold, maintain concentration, reach or exceed threshold, then determine effective interruption;While executing process keep-alive and bottom resource linkage control, take over screen hardware display interface and carry out screen low-power consumption regulation and control.The application can filter environmental vibration noise, effectively reduce misjudgment interruption rate, consider process stability and low power consumption, can improve the anti-interference and immersion of concentration management and control.

The present application relates to the technical field of detection circuit suitable for various electric energy information collection terminals, and discloses a detection circuit method suitable for various electric energy information collection terminals. The method sets the ambient temperature, calibrates the shunt resistor and the thermistor, constructs a three-order resistance-temperature mapping relationship, and calculates the thermal resistance and the thermal response characteristics to realize accurate modeling. The thermistor is attached to the shunt resistor and forms a thermal coupling structure by adding heat-conducting silicone grease. The constant current source and the differential amplifier are used to collect voltage, convert resistance value to temperature in real time, calculate the instantaneous current based on the heat balance equation, and then complete energy integration and grade judgment to output various electric parameters. The method integrates modeling, collection, conversion and inversion processes, constructs a complete thermal-electric detection link, does not need traditional current sensors, has the advantages of compact structure, low cost, flexible deployment and the like, and is suitable for low-power distributed terminals.

The invention discloses an optimized operation method for an electricity-heat-gas comprehensive energy system. The method comprises the following steps: constructing an optimization model; the optimization model comprises an output model of each type of equipment in the electric-thermal-gas comprehensive energy system and an energy network balance relation model; the objective function of the optimization model comprises a cost item and a load reduction item, and decision values and weight values related to the optimization model are calculated. And determining weight values in the target function in different operation states. And selecting a weight value in a corresponding objective function according to the current actual operation state, and then solving the model. According to the method, the two targets of the lowest cost and the lowest load reduction amount are comprehensively considered, the weight value needed for solving is determined based on the current state, the cost and load requirements are considered, efficient energy integration of the power network, the heat power network and the natural gas network is achieved, and the obtained output configuration is better matched with the system characteristics.

The present application relates to the technical field of power energy load analysis, and particularly relates to a deep-sea aquaculture power energy load intelligent analysis method based on deep learning. The method comprises the following steps: acquiring power multi-energy equipment data and user power consumption data of a deep-sea aquaculture power energy system; establishing an optimized operation light-diesel-storage power energy integration model based on the power multi-energy equipment data and the user power consumption data to collect power multi-energy instant operation load data; acquiring multi-modal operation perception element data of the deep-sea aquaculture power energy system; establishing an operation load transformation trend prediction model based on the multi-modal operation perception element data to generate the operation load transformation trend prediction model; and transmitting the power multi-energy instant operation load data to the operation load transformation trend prediction model to analyze power energy operation load trend characteristic data. The present application realizes accurate prediction of the operation load of the deep-sea aquaculture power energy system.

The invention relates to the technical field of integrated energy system planning, in particular to a wind and light resource potential assessment method for traffic energy collaborative planning. According to the technical scheme, the method comprises the following steps: firstly, acquiring and integrating multi-source data such as geography, weather, traffic and the like; secondly, calculating the technical potential of the wind and light foundation, and determining a traffic energy collaboration index for quantifying the adaptation degree of a site and a traffic system; then, fusing the two to generate a collaborative development potential map; thirdly, simulating and predicting the space-time dynamic demand of charging of the electric vehicle through a trip chain; and finally, establishing a multi-objective optimization model taking the collaborative potential map and the demand matrix as input, and solving and generating a collaborative planning scheme considering economy, greenization and user convenience. According to the method, collaborative layout of energy and traffic infrastructures can be realized, the utilization rate of renewable energy and the overall economy of the system are remarkably improved, and scientific decision support is provided for constructing a green and efficient traffic energy fusion network.

The invention discloses a cross energy fusion design method for a photovoltaic slope, belongs to the technical field of highway engineering and photovoltaic power generation, and aims to solve the technical problem that a photovoltaic solar panel is arranged on the highway slope; in order to realize water drainage and water guide of a side slope and how to design wiring layout, ventilation and heat dissipation, overhaul and maintenance, energy storage facilities, traffic safety performance, wind load structure safety performance and the like of a photovoltaic power generation system, the technical scheme is as follows: a middle area of two side slope torrent grooves is divided into a power generation unit and an energy storage unit, and an energy storage system is configured; designing networking and electrical systems among the units; the slope torrent groove is designed to be step-shaped, and the assembled detachable scaffold is matched to serve as a maintenance pipeline of a photovoltaic power generation system; a reservoir with a sediment precipitation effect is arranged at the toe of the side slope; the combined type photovoltaic supporting system is designed by adopting photovoltaic modules, and the photovoltaic modules are anchored on prefabricated reinforced concrete cross beams.

The invention discloses a ventilation air methane thickening and concentration stabilizing system and method based on temperature distributed regulation and control. The system integrates a purification and energy integration unit, a concentration allocation unit and a solvent regeneration unit. The purification unit is used for extracting concentrated methane through absorption-desorption circulation, the core of the purification unit is that a closed heat energy circulation loop is arranged, waste heat generated by compressing ventilation air methane is recycled to be used for heating and desorbing rich liquor, meanwhile, cold energy is used for cooling and circulating barren liquor, and efficient self-utilization of energy is achieved. And the concentration blending unit outputs mixed gas with stable and adjustable concentration through on-line monitoring and mixing of the concentrated gas and the diluted tail gas. And the solvent regeneration unit continuously purifies and absorbs the solvent. The invention also discloses preferable structures such as a tandem type multi-tank absorption tower and the like. The system can efficiently treat ventilation air methane, and is stable in output concentration, low in energy consumption, reliable in operation and suitable for coal mine field application.

Embodiments of the present application disclose a kind of heavy energy consumption industrial comprehensive energy scheduling control method and device, equipment and storage medium, first training is obtained the digital twin model of target energy flow system covering multiple energy media, then using deep correlation-self-correcting recursive network algorithm obtains candidate scheduling scheme set, and further using adaptive energy flow multi-objective evolutionary optimization algorithm is scheduled scheme iteration, obtains optimal target scheduling scheme and executes, so that production-energy integration modeling, multi-objective adaptive optimization and whole-process simulation can be realized, which can effectively improve the efficiency of regulation and control response, and realize the full coverage of optimization target.

An energy saving and emission reduction system for chemical separation and purification process is disclosed. The chemical separation and purification process includes a synthesis section and / or a distillation section and / or a recovery section. The energy saving and emission reduction system includes an energy comprehensive utilization maximizing energy saving module. The energy comprehensive utilization maximizing energy saving module comprehensively evaluates the chemical separation and purification process, and acquires a lowest energy consumption value according to initial and final material flow parameters. Then energy integration optimization and energy saving technical modification are performed on the synthesis section and / or distillation section and / or recovery section according to the lowest energy consumption value. The disclosure involves a comprehensive and extensive energy saving and emission reduction system for chemical separation and purification process, and has achieved good environmental benefits.

The application relates to an energy-saving device for acetic acid rectification based on energy integration, which comprises a rectification tower, an evaporator located at the lower part of the rectification tower and a condenser located at the top of the rectification tower, the rectification tower is internally provided with multiple tower plates, the tower plates gradually become longer from top to bottom, gas flow holes for steam passing through are formed in the tower plates, the side wall of the rectification tower is a cavity structure, a vertical heat supply steam pipe is arranged on one side in the cavity structure, and a vertical reflux steam pipe is arranged on the other side, multiple sealed partitions are arranged in the cavity structure, the sealed partitions divide the cavity structure into multiple sealed chambers, each sealed partition is located between two adjacent tower plates so that each sealed chamber is opposite to a tower plate, the heat supply steam pipe and the reflux steam pipe both pass through each sealed chamber, an air inlet is formed in the heat supply steam pipe and corresponds to the position of each tower plate, and an air inlet control assembly for controlling the opening and closing of the air inlet is arranged at the air inlet. The application has the technical effect of energy saving and efficiency increasing.

The present application relates to the technical field of power system relay protection, in particular to a hydropower and new energy integration grid-related setting value checking method and system, the system comprises: a panoramic modeling module, which performs parameter input of hydropower station and new energy station equipment; a fault simulation module, which performs fault current simulation under multiple working conditions based on a distributed parallel computing architecture; a setting value calculation module, which generates setting parameters of protection devices; and a grid-related checking module, which constructs a coordination graph of power generation equipment capacity curve and protection action characteristics and outputs checking conclusions. In the present application, by constructing a high-precision mathematical model of multi-energy integration and a parallel computing mechanism, the problem that the traditional single-computer calculation mode is difficult to cope with complex topological changes and dynamic characteristics after new energy is connected is solved, accurate matching and visual verification of grid-related protection setting values and equipment capacity boundaries are realized, protection misoperation or refusal to operate risks are effectively avoided, and the safety defense level and operation and maintenance efficiency of new-type power systems are significantly improved.

The invention discloses a multi-energy integration-oriented SCADA system intelligent scheduling and optimization control method, which relates to the technical field of energy monitoring and comprises the following steps of multi-energy system modeling, model parameter acquisition, data fusion and monitoring, demand prediction model construction and optimization scheduling algorithm design. The construction of the demand prediction model comprises LSTM network structure and energy demand result prediction, the demand prediction model is corrected and optimized through a machine learning algorithm, an optimization scheduling algorithm is designed according to an energy demand prediction result to define an optimization direction, and dynamic balance between energy supply and demand is ensured through a dynamic adjustment mechanism. By constructing an accurate model of a multi-energy system, fusing real-time monitoring data of various energy sources, adopting an advanced energy demand prediction algorithm and an optimal scheduling algorithm and designing a dynamic adjustment mechanism, intelligent scheduling and optimal control of the energy sources are realized, the energy utilization efficiency is improved, the energy consumption cost is reduced, and the system operation stability is enhanced.

The application relates to a honeycomb sandwich composite structure hybrid manufacturing defect detection method based on wave packet energy integration, which comprises the following steps: exciting ultrasonic guided waves at a first boundary of a honeycomb sandwich structure to be detected, and collecting out-of-plane vibration time domain signals of at least one detection position at an excitation point; processing the out-of-plane vibration time domain signals, and extracting energy integration features of the signals in a pre-defined time window; and outputting a detection result of whether a defect exists in a propagation path corresponding to the detection position based on comparison between the energy integration features and preset baseline features. Compared with the prior art, the application has the advantages of high efficiency, strong reliability and excellent robustness.

Embodiments of the present application provide a transportation-energy integration component. The transportation-energy integration component comprises a frame body, and a sound insulation panel, photovoltaic panels, and an energy storage unit which are installed on the frame body. Specifically, the sound insulation panel is a meta-sound-absorbing panel. A plurality of sound transmission channels are provided inside the meta-sound-absorbing panel. A plurality of first sound transmission holes are formed on the front surface of the meta-sound-absorbing panel, and the first sound transmission holes are used for communicating the sound transmission channels with an external environment, so that sound enters the sound transmission channels via the first sound transmission holes. The energy storage unit is electrically connected to the photovoltaic panels. Sound can enter the sound transmission channels via the first sound transmission holes and undergoes interference reduction and reflection in the sound transmission channels, thereby dissipating sound energy and achieving a good noise reduction effect. The transportation-energy integration component of the embodiments of the present application has photovoltaic power generation, electricity storage and supply, and sound insulation functions, and can reduce energy consumption by fully utilizing solar energy, achieving low-carbon transportation, thereby solving the problem in the related art of single functions of transportation components.

The application provides a line loss intelligent diagnosis method and system based on multi-source data fusion analysis, and relates to the technical field of line loss diagnosis of power systems.The method comprises the following steps: selecting a line loss evaluation mode according to power grid operation fluctuation information and data source time consistency information; if the line loss evaluation mode is a transient power balance mode, then using the transient power balance method to calculate the line loss rate; if the line loss evaluation mode is a cumulative power integral mode, then dynamically setting a cumulative time window, and performing energy integration on the power supply data and power consumption data in the cumulative time window to obtain cumulative power, and then calculating the line loss rate based on the cumulative power.The method aims to solve the problems of the existing line loss diagnosis method in the power system, such as the dynamic change of the power grid operation state and the inconsistency of the data source time, and the problems caused thereby, such as inaccurate line loss evaluation and frequent false alarms, and can improve the accuracy of line loss diagnosis and reduce false alarms.