14 results about "Electric efficiency" patented technology

The application discloses a kind of based on the dynamic display method and system of intelligent electric meter of electricity price signal, it is related to electric efficiency management technical field, comprising the following steps: S1, receiving and analyzing electricity price signal;S2, dynamically generating visual feature strategy;S3, generating scene energy-saving suggestion text;S4, control display screen carries out composite information rendering and display;S5, monitor condition changes and update display;The present application can quickly, clearly understand the electricity price state and know specific operation suggestion by dynamic, strong visual impact and direct text guidance, so as to effectively promote its adjustment power consumption behavior, improve demand side response speed and effect.

The application relates to a performance analysis method of an advanced adiabatic compressed air energy storage system, which comprises the following steps: when the application scene is determined, the inlet pressure and temperature of a first compressor, the outlet pressure of a last compressor, the inlet pressure of a first expander and the outlet pressure of a last expander are known; the outlet temperature of the first compressor, the outlet temperature of the first expander, the pinch point temperature difference of a heat exchanger, the isentropic efficiency of each compressor and expander, the compressed mass flow, the compression time length, the expanded mass flow, the expansion time length are unknown; the outlet temperature of the last compressor, the inlet temperature of the first expander, the outlet temperature of the last expander and the polytropic efficiency of each compressor and expander are dependent variables of the known and unknown parameters; according to the relationship among the parameters, the compression power, the expansion power and the electric-to-electric efficiency are theoretically calculated, and the optimal scheme of the system performance of the advanced adiabatic compressed air energy storage is obtained in the shortest time cost and the least calculation cost.

The invention discloses an influence parameter optimization method and device for a cascaded SOFC system, the method is applied to the cascaded SOFC system, and the method comprises the steps: obtaining influence parameters of the cascaded SOFC system, the influence parameters at least comprising a battery number ratio and a shunt ratio of a first-stage electric pile and a second-stage electric pile; the influence parameters are sequentially changed, a pre-established target system model is utilized, the system electric efficiency and the average net power under the condition that the influence parameters are changed are calculated, the target system model is established according to the net alternating current power of the system, and the net alternating current power of the system is determined at least according to the total power generation power of the first-stage electric pile and the second-stage electric pile; and screening a target influence parameter from the changed influence parameters according to the calculated system electrical efficiency and the calculated on-chip net power. According to the method, the influence parameters of the cascaded SOFC system can be optimized, so that the requirements of different application scenes can be met, the electric efficiency of the cascaded SOFC system is effectively improved, and the operation cost is reduced.

Provided is a vehicle control system capable of achieving an improvement in NV performance (Noise Vibe performance) while suppressing a deterioration in fuel efficiency or electric power efficiency with respect to a stop maintaining function of a vehicle. The vehicle control system of the present invention is a vehicle control system in a vehicle having an engine or a motor as a drive source of a wheel in the vehicle, and includes a target drive force calculation section, a calculation section, and a stop maintaining processing section. The calculation section performs, before a parking time, a pre-pressurization process of pre-pressurizing brake hydraulic pressure and setting a cancellation portion drive force that cancels a brake force for pre-pressurization as a required drive force, and controls the required brake force in the pre-pressurization process in such a manner that an increase in the brake force for pre-pressurization is performed within a range not exceeding a brake force threshold value that is a value smaller than a stop maintaining brake force.

A method for improving the efficiency of a water electrolysis system and a system thereof are disclosed. The system comprises: an electrolysis stack; a power supply configured to supply a voltage to the anode and cathode of the electrolysis stack; and a contact galvanic tube connected to the anode such that the fluid circulates within the tube. The fluid includes at least water. Power generated in the contact galvanic tubes is supplied to a power source to improve power efficiency.

The invention belongs to the field of carbon dioxide energy storage of gas turbines, particularly discloses a carbon dioxide energy storage efficiency improving system coupled with a gas turbine and a working method of the carbon dioxide energy storage efficiency improving system, and aims at overcoming the defects that a conventional compressed carbon dioxide heat storage system is large in loss, and the electricity-electricity efficiency of the compressed carbon dioxide energy storage system is greatly reduced. In the energy storage process of the compressed carbon dioxide energy storage system, high-temperature flue gas of the gas turbine is used for refrigeration through the lithium bromide unit, cold energy is provided for carbon dioxide liquefaction in the energy storage process, an original electric refrigeration unit is replaced, and the economical efficiency of the system is improved; heat provided by a heat storage system in a conventional compressed carbon dioxide energy storage system is supplemented through heat of high-temperature flue gas of a gas turbine, the initial temperature of carbon dioxide gas entering the turbine is increased, the system circulation efficiency is improved, and therefore the electricity-electricity conversion efficiency of the compressed carbon dioxide energy storage system is improved.

The application provides a container ship multi-working-condition shaft power generation and energy storage hybrid power efficiency optimization system, which is applied to the field of ship energy management and comprises a working condition strategy module, a fluctuation suppression module and a power distribution module, the working condition strategy module is electrically connected with a ship radar navigation device and a ship identification system receiver, the fluctuation suppression module is electrically connected with a refrigerated container load detection component, and the power distribution module is electrically connected with a ship power grid load detector, a main engine rotating speed sensor and an energy storage state of charge sensor; the application cooperatively regulates the output power of the main engine shaft power generation device, the auxiliary power generation device and the composite energy storage device, and builds an efficient power calling mechanism for the ship power grid, so that under complex ship working condition information, the safety redundancy and reliability of power supply are improved, the electric energy utilization efficiency is improved, the fuel consumption is reduced, and the comprehensive goals of energy saving and emission reduction are achieved.

The application discloses a kind of based on GA-BP's gasification integrated parallel three electric pile SOFC system's performance prediction method and system, it is related to system performance prediction technical field, using the method of lumped modeling is modeled to gasification integrated parallel three electric pile SOFC system, the data set of gasification integrated parallel three electric pile SOFC system is used for training GA-BP model.According to this model, the electric efficiency and net voltage of each electric pile in gasification integrated parallel three electric pile SOFC system can be predicted, and the design parameters and operating conditions of the system are optimized.The application combines genetic algorithm with BP neural network to predict the performance parameters of gasification integrated parallel three electric pile SOFC system, solves the problem that traditional BP neural network often encounters local optimum, helps to carry out more extensive global search, finds out the optimal parameter combination, and improves the accuracy of system performance parameters predicted by the model.

An electricity efficiency analysis device according to various embodiments includes an output device and one or more processors electrically connected to the output device, the one or more processors configured to calculate an electricity efficiency gain-loss value indicating a gain or loss of current electricity efficiency compared to a standard electricity efficiency of a vehicle based on information collected during a predetermined monitoring section related to state and driving of the vehicle, calculate a standard electricity efficiency contribution indicating an extent to which the state and driving of the vehicle during the predetermined monitoring section have influenced the gain or loss of the current electricity efficiency compared to the standard electricity efficiency based on a power consumption rate and the electricity efficiency gain-loss value during the predetermined monitoring section, and output the standard electricity efficiency contribution through the output device.

The invention belongs to the technical field of SOFC energy supply, and particularly discloses an SOFC energy supply system optimal configuration method based on periodic load operation. The method comprises the following steps: firstly, constructing an efficiency objective function based on the equivalent electric efficiency of the SOFC energy supply system; constructing a revenue objective function based on the average net present value of the SOFC energy supply system; constructing an independence objective function based on reserve changes of a cold storage tank and a heat storage tank in the SOFC energy supply system; taking an efficiency objective function, a profit objective function, an independence objective function and a thermodynamic model of the SOFC energy supply system as fitting targets, and solving a Pareto frontier under the fitting targets by adopting a double-iteration optimization framework in which multi-layer perceptron external iteration is combined with evolutionary algorithm internal iteration; and finally, selecting a group of equilibrium solutions from the Pareto frontier based on a superior and inferior solution distance method as optimal configuration of the SOFC energy supply system. According to the technical scheme, the optimization problem of the key configuration parameters of the SOFC energy supply system under the dynamic working condition is effectively solved.

The utility model discloses a kind of battery pack structures, its subject is to provide a kind of battery pack structure which can inhibit cost, the reduction of electric power efficiency and large-scale, while realizing the temperature equalization of battery unit. Battery pack structure is the structure of the battery pack that multiple battery units are arranged and contained in battery housing, it has: cooling component, it is set in battery housing;And heat transfer component, it is between the cooling surface of cooling component and battery unit, according to the heat transfer coefficient of cooling surface and the thickness of heat transfer component, the distribution of the heat transfer area of battery unit and cooling component is adjusted, regarding heat transfer area, it is set as two ends relative to the central of battery unit larger and / or the end portion side of the arrangement of battery unit is less than the central of the arrangement of battery unit.

The invention relates to the technical field of energy-saving transformation of equipment, in particular to a polymer flooding monitoring system for water-containing recovery periods of three types of oil layers. The system comprises an adjustment system switching judgment module used for calculating an injection electrical efficiency index by continuously monitoring oil production increment and power consumption of an injection pump during injection of a first adjustment system so as to judge whether to switch the adjustment system of an injection well at the current moment; the injection well energy-saving optimization module is used for dividing wells into two types according to an injection pressure space after a system switching condition is met: for an adjustable parameter well, a layered injection allocation scheme is formulated by calculating a layer section energy consumption weight and combining an oil layer thickness so as to realize energy conservation; and for the parameter adjustment limited well, fracturing resistance reduction is conducted on the production well communicated with the parameter adjustment limited well, and collaborative optimization is achieved through injection-production linkage. According to the embodiment, the polymer flooding decision is optimized by quantifying the energy consumption, and energy conservation and consumption reduction are achieved on the premise that the oil displacement effect is guaranteed.

The invention discloses a floating platform structure parameter and floating type unit control parameter optimization method and system, and the method comprises the steps: setting environment wind condition parameters, generating an initial state space of a floating type wind turbine unit, and obtaining an initial control motion space according to the forward propagation of the initial state space; updating the initial state space to obtain an updated state space, and reasoning the updated state space through a neural network to output a control action space; calculating a reward function according to the updated state space and the control action space, and continuously updating the state space and the control action space until the reward function obtains a minimum value; and updating the structural parameters of the floating platform and the control parameters of the floating wind turbine generator according to the parameters in the corresponding control action space when the reward function obtains the minimum value so as to realize optimization of the structural parameters and the control parameters. High-precision design of the floating platform and high-precision control of the wind turbine generator can be achieved, the steel consumption of the platform is reduced, and the electric efficiency of the wind turbine generator is improved.

The invention relates to the technical field of converters, in particular to an energy storage converter energy storage and conversion supervision system based on new energy power generation, which comprises a processor and a memory, the processor executes a computer program stored in the memory to realize the following steps: constructing an objective function of each converter at the current operation moment according to the health assessment factor and the conversion efficiency, junction temperature value and output power of each converter at the current operation moment, and calculating the health assessment factor of each converter according to the objective function and the health assessment factor. And performing power distribution on each converter at the future operation moment to obtain instruction power corresponding to each converter at the future operation moment. According to the method, power distribution is carried out on the energy storage converter cluster based on the objective function and the health assessment factor, the electric efficiency and the thermal safety can be both considered, the power distribution effect is further improved, and effective supervision on energy storage and conversion of the energy storage converter cluster of the new energy power generation system is achieved.