24 results about "Energy quality" patented technology

The invention provides a large-scale heat energy incremental storage and flexible regulation and control energy supply system and an operation method thereof.The large-scale heat energy incremental storage and flexible regulation and control energy supply system comprises a low-temperature-stage heat pump, a medium-temperature phase change heat storage unit and a high-temperature-stage heat pump, and the low-temperature-stage heat pump exchanges heat with an environment heat source or industrial waste heat and is used for absorbing heat released by the low-grade heat source; the medium-temperature phase change heat storage unit is used for storing heat released by the low-temperature-stage heat pump, and the high-temperature-stage heat pump is connected with the user side in a heat exchange mode and used for outputting hot water or steam to the user side. Incremental heat storage and energy quality regulation and control functions are achieved through the technical path that temperature rise is shared through two-stage compression, and in the heat storage mode, the low-temperature-stage heat pump absorbs heat from environment or industrial waste heat and stores the heat in the phase change heat storage unit in an upgrading mode; in the heat release mode, the high-temperature-stage heat pump further improves the quality of heat storage energy and then outputs high-grade heat energy, the theoretical limitation of traditional electric heating equivalent conversion is broken through, the capacity of peak load shifting and on-demand flexible heat supply is achieved, and the system can be widely applied to the fields of building heating, industrial process heat consumption and the like.

The invention provides an electricity-hydrogen-heat multi-time scale optimization method for hydrogen energy tri-state-heat energy cascade cooperation, and relates to the technical field of multi-energy systems. The photovoltaic and wind power grid-connected power generation device utilizes renewable energy sources to generate power, the generated electric energy is uniformly accessed to the energy management platform, the energy management platform comprehensively distributes the electric energy to the electric energy storage unit, the hydrogen energy storage unit and the heat energy storage unit, and multi-scale scheduling is carried out according to hierarchical energy storage combined hydrogen form cooperation and heat energy stepped utilization. The hydrogen form conversion and conveying module realizes bidirectional controllable conversion of hydrogen among a solid state, a liquid state and a gas state, and performs hydrogen energy conveying and energy mass matching across units and time scales; the conjugate thermal coupling heat exchange module, the hydrogen energy storage unit and the thermal energy storage unit establish heat input and output channels respectively, and the energy management platform is realized based on a multi-time scale coordination optimization framework and performs unified coordination control on the electric energy storage unit, the hydrogen energy storage unit, the thermal energy storage unit and the conjugate thermal coupling heat exchange module.

The invention provides a multi-energy system dynamic carbon factor calculation method and device based on an analysis method. The invention belongs to the technical field of low-carbon operation and carbon emission metering of an integrated energy system. The method provided by the invention comprises the following steps: respectively calculating the loss of a cogeneration unit and the loss of an electric boiler; the carbon emission responsibility of the output energy flow of the cogeneration unit is obtained, and the carbon emission responsibility of the output energy flow of the electric boiler is obtained; determining the electric energy carbon emission responsibility and the heat energy carbon emission responsibility of the output energy flow of the cogeneration unit; and determining a carbon emission factor of an electric end and a carbon emission factor of a hot end under the influence of wind curtailment and light curtailment of the system, and dynamically adjusting the output of each device in the system by taking the minimization of the total carbon emission of the system as a target. According to the method, loss of a conversion link is accurately metered in an electricity, heat and gas coupling scene, loss carbon emission is reasonably shared according to energy quality difference and each output energy flow proportion, and a dynamic carbon emission factor which can be used for system optimization regulation and control and emission management is generated.

The application discloses a kind of wisdom energy multi-energy evaluation visualization system and method for industry, it is related to energy big data visualization cross technical field, including, acquisition multi-source heterogeneous data and pre-processing, by space-time hash coding method, generate high-dimensional energy data of space-time alignment;Based on three-dimensional manifold coordinate model, the equipment energy efficiency parameter is converted into equivalent energy quality field, by energy field reconstruction and geometric optimization method, generate curved manifold space and identify optimal transmission path and distortion intensity cloud chart;Based on distortion intensity cloud chart, generate thermal color scale by thermal color scale mapping algorithm, and the three-dimensional gradient field distribution of equivalent energy quality field is rendered using ray tracing method, generate visual energy evaluation interface.The application generates space and time hash code by space-time hash coding method, establishes equipment-grid mapping relationship in combination with GeoHash coding, realizes the accurate space-time alignment of multi-source heterogeneous data.

The application relates to the field of energy management, and discloses an energy consumption management optimization method and system of a comprehensive energy station, which are used for improving the economic optimization ability and the autonomous collaborative operation level of the comprehensive energy station when facing complex uncertainty. The energy consumption management optimization method of the comprehensive energy station comprises the following steps: constructing a device characteristic model representing long memory dynamics of a device based on a fractional calculus theory; establishing a random scene based on an alpha-stable distribution theory, which describes non-Gaussian fluctuations of wind and light loads; constructing an economic cost density field representing energy quality space-time dissipation based on a local entropy production minimization principle; establishing a differential game framework taking the economic cost field as a target and the above model as a constraint; and finally realizing closed-loop optimization through rolling execution and model online correction. The application breaks away from the dependence on a machine learning model, and realizes the economic efficiency optimization and autonomous collaborative operation of the energy station under complex uncertainty from the physical mechanism.

The invention relates to the technical field of zero-carbon parks, in particular to a comprehensive energy system for a zero-carbon park, which comprises an energy production module, a multi-energy conversion and storage module, an intelligent management and control module, a user load module and a carbon capture and utilization unit. Multi-energy complementation and long-time energy storage can be achieved, reliable supply of zero-carbon energy is guaranteed, the overall efficiency and the energy utilization rate of the system are improved, resource cyclic utilization, multi-time scale optimization and multi-element load interaction are achieved, optimal economic dispatching and hydrogen energy multi-element utilization are achieved, and multiple guarantees and operation toughness are provided; the data uplink gateway ensures that source data is real and cannot be tampered, meanwhile, short-term temperature fluctuation caused by renewable energy source fluctuation or load change of a heat supply network can be effectively restrained, continuous and stable heating / cooling service is provided for users, and the energy consumption quality and comfort of a park are remarkably improved.

The application discloses a kind of multistage distributed cold traps based on lunar surface environment, including arch shell, the inner surface of arch shell is pasted with sealing film, several cold trap units are installed in the inner surface of arch shell and are distributed in array;The cold trap unit includes framework, the outer side of framework is attached with sealing film, the inner side of framework is cold trap entrance and is pasted with selective permeation membrane with molecular sieve effect, the bottom surface of framework is fixedly provided with microcapsule phase change layer, and porous medium made of high thermal conductivity material is embedded in the inside of framework;The porous medium is arranged in the inside of framework with gradual porosity or with gradient porosity.The application not only reduces vapor flow resistance and enhances surface desublimation active site density, but also realizes space matching of heat flow density and vapor flux, improves energy quality transfer synergistic efficiency, and can also buffer external radiation fluctuation, so as to maintain long-term stability of temperature inside cold trap.

The utility model discloses a solid-phase cold storage system for improving cold energy quality. Comprising a liquid air storage unit for liquefying and storing air, a solid-phase cold storage unit for storing cold energy released when high-pressure liquid air is gasified from a liquid state to a gas state, and a solid-phase cold release unit for releasing cold energy stored by a solid-phase packed bed, the front end and the rear end of the liquid air storage unit are connected with the solid-phase cold release unit and the solid-phase cold storage unit in series correspondingly, and the front end of the solid-phase cold release unit is connected with a compressed air stream. According to the solid-phase cold storage system, the re-cooling expansion machine is additionally arranged in the cold release circulation loop in the solid-phase cold storage system, so that the cold energy quality is further improved on the basis of the original cold release quality of a packed bed, and the problems that the cold energy quality is gradually reduced and the loss is large due to the existence of a thermocline in the cold release process of solid-phase cold storage are effectively solved; the liquefaction rate of the system in the energy storage process is guaranteed, and the operation stability of the cold storage system is improved.

The invention relates to a multi-time-scale electro-hydrogen thermal coupling wind-light hydrogen storage system scheduling and configuration method, and belongs to the technical field of comprehensive energy system optimization. In order to solve the problems of time scale splitting, single energy and mass conversion, insufficient real-time response and the like of a traditional wind and light hydrogen storage system, a three-layer closed-loop collaborative framework of a cross-time scale optimization layer, an energy and mass coupling hub module and a cross-layer-energy and mass coordination module is constructed; and integrated optimization of annual / seasonal capacity configuration, weekly / monthly middle-term plans and intra-day / real-time scheduling is realized. Through explicit modeling electricity-hydrogen-heat multi-energy mass conversion and waste heat recycling, mixed integer programming and model prediction control technologies are combined, and the comprehensive energy utilization efficiency is remarkably improved while the operation stability of the system is guaranteed. The method adapts to the multi-time scale characteristics of wind and light output and load, can effectively reduce the operation cost of the system, reduces abandoned wind and light, and provides technical support for high-proportion renewable energy grid connection.

The invention relates to the technical field of energy recovery, and discloses a novel energy recovery and management system of an electric wheel loader, which comprises a composite power supply subsystem used for providing electric energy for a driving system and a hydraulic system of the whole electric wheel loader; the multi-source energy recovery subsystem is used for capturing and converting kinetic energy of the loader under the braking working condition and potential energy generated when a working device descends, and executing an energy quality grading recovery strategy; and the central control subsystem is used for realizing intelligent storage and distribution of the recovered energy in the composite power supply subsystem. Through the multi-source energy recovery subsystem, braking kinetic energy and hydraulic potential energy are captured at the same time, energy wasted traditionally is effectively converted into electric energy, and energy consumption of the whole machine is greatly reduced; through an energy quality grading recovery strategy, it is ensured that recovered energy with different characteristics is absorbed by the most appropriate energy storage medium, loss in the energy conversion and storage process is reduced from the source, and the overall recovery efficiency is improved.

The application discloses a solid-phase cold storage system and operation method for improving cold energy quality, which comprises a liquid air storage unit for liquefying and storing air, a solid-phase cold storage unit for storing cold energy released when high-pressure liquid air is gasified from liquid state to gaseous state, and a solid-phase cold releasing unit for releasing cold energy stored in a solid-phase packed bed, the front and rear ends of the liquid air storage unit are connected in series with the solid-phase cold releasing unit and the solid-phase cold storage unit respectively, the front end of the solid-phase cold releasing unit is connected with a compressed air flow, and the rear end of the solid-phase cold storage unit is connected with a heater for warming air. The application effectively solves the problems of gradually reduced cold energy quality and large exergy loss caused by the existence of a temperature gradient layer in the cold releasing process of the solid-phase cold storage, guarantees the liquefaction rate of the energy storage process system, and improves the operation stability of the cold storage system.

The application provides a power-driven energy circulation system based on a stepped energy bus, and belongs to the field of power-driven heating. In order to solve the problems of the inability of the multi-temperature zone waste heat to be recycled as a whole and the low efficiency of the energy quality improvement of the heat pump in the prior art, the application is characterized in that the high-temperature thermal bus, the medium-temperature thermal bus, the normal-temperature thermal bus and the cooling water bus are arranged in stages, the energy quality is improved by the electrically-driven heat pump between the adjacent buses, the staged heating and closed circulation of the process ends in different temperature zones are realized, a large amount of waste heat is recycled in the system through the three-stage heat pump improvement and stepped utilization, the consumption of high-grade energy is reduced, or the heat can be discharged to the adjacent or next-adjacent low-position bus side through the cross single-stage or double-stage bus, the energy quality is improved between the adjacent buses and the next-adjacent buses by the heat pump device, and the energy is recycled through the temperature improvement of the single-stage or double-stage heat pump.

The invention discloses a three-stage condensation frequency division driving SOEC water electrolysis hydrogen production system. The system comprises a solar full-spectrum three-stage condensation frequency division utilization subsystem and an SOEC water electrolysis hydrogen production subsystem. The solar full-spectrum three-stage condensation frequency-division utilization subsystem is used for carrying out condensation on multiple solar spectrums by different multiples; then the photovoltaic available spectrum is converted into electric energy, the residual spectrum generates heat energy at different temperatures through a radiation absorber, and the generated heat energy is used for heating raw material water for SOEC water electrolysis hydrogen production. And the SOEC water electrolysis hydrogen production subsystem is used for carrying out water electrolysis reaction to produce hydrogen. According to the energy requirement and the energy quality matching principle of the whole process, the energy source of the system is completely solar radiation, the solar quality is distinguished through multi-stage condensation frequency division, the solar quality is converted into electric energy and heat energy at different temperatures, and then the electrolyzed water reaction is driven.

The invention relates to the technical field of micro-grid capacity optimal configuration, in particular to an ocean engineering micro-grid capacity optimal configuration system and method considering source load uncertainty, and the method comprises the steps: constructing an ocean engineering micro-grid architecture comprising a generator load test energy recovery system, and enabling the system to carry out energy recovery through a bidirectional AC / DC / AC power electronic converter; non-standard electric energy generated by a load test is converted into power frequency electric energy available for a micro-grid, and efficient recovery and smooth output of energy are realized in cooperation with an energy storage system; aiming at the strong uncertainty of the source and the load in the marine environment, a refined mathematical model of each unit is established, and a multi-target optimization model taking the negative minimization of the system full life cycle cost, the carbon emission, the power shortage probability and the system comprehensive energy quality improvement index as the target is constructed; and solving the Pareto frontier by adopting a multi-objective optimization algorithm. According to the method, cyclic utilization of test energy is realized, and a microgrid planning scheme which is high in robustness and comprehensive and optimal is provided.

The application provides an all-electric driven heat supply system with an external heat source, and belongs to the field of heat pumps. In order to solve the problems of insufficient starting and peak regulation energy, lack of unified gradient energy bus structure, limited dynamic efficiency and operation stability, and energy waste of the multi-temperature-zone heat supply system, the application adopts gradient-distributed high-temperature thermal bus, medium-temperature thermal bus, normal-temperature thermal bus and cooling water circulation bus, which can be used as a starting heat source of the heat pump process heat supply device, and after the starting is completed, the internal heat pump equipment is driven to realize self-circulation heat supply operation, and can directly supply heat to the process end to meet the heat demand of different types of process ends, relying on the temperature rise of the three-level heat pump, a large amount of low-grade waste heat is converted into usable heat energy and recycled in the system; or realize the cross-stage or single-stage discharge of the process tail end heat and the multi-stage energy quality improvement of the heat pump, and take the medium-deep geothermal energy as the energy core, the excess heat is discharged through the cooling tower to ensure the stability and efficiency of the supply.

The invention relates to the technical field of energy quality analysis, and discloses a harmonic wave responsibility division method based on sliding window regression residual analysis, and the method comprises the following steps: synchronously collecting harmonic wave current injection data of a harmonic wave source node and harmonic wave voltage data of an attention node; establishing a local linear regression model by applying a sliding window regression residual analysis method, continuously monitoring the change of a model fitting residual, identifying a time point when the residual suddenly changes as a system grid structure change point, and automatically dividing a time sequence data set into a plurality of steady-state time periods with constant internal parameters; secondly, independently solving system parameters for a steady-state time period and calculating responsibilities of all harmonic sources; and finally, aggregating all segment responsibility results by adopting a weighted average algorithm considering time segment duration and pollution severity to obtain final total harmonic responsibility. The method can adapt to the dynamic change of the system without manual intervention, and improves the accuracy, objectivity and fairness of responsibility division.

The invention relates to the technical field of energy management, and discloses a heating system automatic control and optimization system based on energy hosting, which comprises a physical layer, a platform layer and a control layer, and the platform layer generates a pre-calculation optimal response strategy library in an off-line manner by using a system thermodynamic characteristic digital twinborn calibration platform. And an edge control module of the control layer identifies a local thermal disturbance event based on a high-resolution distributed sensing network, calculates a real-time thermal entropy flow, queries the strategy library to call a heterogeneous distributed quick response execution unit, and executes quick energy shaping and entropy flow counteracting at a disturbance source. And a central control module of the control layer executes macroscopic multi-objective optimization based on the comprehensive quality factor of the multi-source heterogeneous energy, and cooperatively manages the main heating system and the energy system. According to the method, rapid counteracting of microscopic entropy flow and quality optimization of macroscopic energy are achieved, and the dynamic response speed, the comfort level stability and the comprehensive energy efficiency of the system are improved.

The application discloses a kind of comprehensive energy system multi-objective programming methods, including obtaining the operation and planning data information of comprehensive energy system;Build lower comprehensive energy system operation optimization model;Build upper comprehensive energy system planning model;To the lower model and upper model of construction solution, obtain the final comprehensive energy system multi-objective programming scheme considering energy quality matching of supply and demand two sides.This application also discloses a kind of system for realizing the comprehensive energy system multi-objective programming method and storage medium.This application considers the difference of different energy quality and takes into account the economic, the degree of energy quality matching of supply and demand two sides, while considering the requirements of system operation level;Therefore, the application not only can complete comprehensive energy system multi-objective programming under the premise of considering energy quality matching, reduce the loss of effective energy, realize system energy quality upgrading and efficiency improvement, but also high reliability, good accuracy and objective science.

The invention discloses an intelligent energy coordinated regulation and control method and system for carbon capture and thermoelectric decoupling. The method comprises the following steps: S1, constructing a thermoelectric decoupling and carbon capture multi-dimensional parameter space omega; s2, designing a modular heat energy interface system adaptive to the scene; s3, establishing a collaborative optimization function system exclusive to a scene; s4, performing cooperative operation; according to the invention, the distribution proportion of different waste heat in each time period is automatically adjusted, and the problem of waste heat waste or insufficient supply of carbon capture regeneration heat energy easily occurring in a traditional fixed waste heat distribution mode is effectively solved; the operation state of the energy mass conversion equipment under the lowest energy consumption is determined through function solution, and stable improvement of the carbon capture efficiency is guaranteed while the energy consumption in the energy mass conversion process is reduced; and the waste heat distribution proportion, energy mass conversion equipment parameters and carbon capture core process parameters can be dynamically adjusted, so that the system can flexibly adapt to the dynamic requirements of various scenes.

The application discloses a multi-time scale coordinated regulation method and system for multiple functionally coupled middle-deep buried pipe groups and power grids, which comprises a hierarchical regulation architecture designed as "bottom single pipe real-time control-middle pipe group heat balance-top system planning", and a multi-time scale regulation is performed by combining model predictive control (MPC) and deep reinforcement learning algorithm; a complementary and coordinated model of geothermal-wind-solar energy storage is constructed, based on system dynamics and energy quality gradient matching theory, an energy conversion and distribution mechanism under multiple time scales is analyzed, an effective coordination among different energy forms is performed through the establishment of a heat-electricity-storage dynamic balance strategy, a carbon trading cost prediction module and a power spot price prediction module are integrated; an action space dimension reduction is performed by adopting a deep reinforcement learning based physical constraint embedding strategy, a solution tool integration is performed by combining a reinforcement learning optimization method and an efficient solver, a multi-disturbance scene verification platform is constructed, complex working conditions of power grid fluctuation and penetration rate mutation are simulated and robustness test is performed, and a target model is output.

The invention discloses a regional integrated energy system station network collaborative planning method considering quantity-mass balance, and belongs to the technical field of integrated energy system planning. The method comprises the following steps: establishing an energy flow steady-state model of an electric power, natural gas and thermal subsystem; establishing a carbon flow model based on the energy flow model; establishing a flow calculation model based on an energy flow solving result; constructing an energy flow-carbon flow-flow unified steady-state model; a double-layer optimization framework based on energy-carbon-multiple objectives is established, the upper layer decides energy station equipment type selection and network capacity expansion, and the lower layer optimizes typical daily multi-stream distribution and feeds back; and introducing a quantity-mass balance planning criterion, and solving an equilibrium solution based on Pareto frontier solution set fitting and a Hessian discrimination method. According to the method, unified representation and collaborative optimization of energy'quantity 'and'quality' attributes are realized, and the economical efficiency, the low-carbon property and the energy quality of the system are improved.

The embodiment of the invention provides a full-process energy management and hierarchical energy saving method for an ALC production line, which belongs to the technical field of control, and specifically comprises the following steps: step 1, constructing a universal energy management system, and collecting various types of energy consumption data of each area of the ALC production line in real time through a standardized data collection protocol and interface, visual display and statistical analysis are carried out; step 2, based on the energy consumption data and the equipment state, performing graded energy-saving operation which comprises multi-stage utilization of residual steam of the still kettle based on a dynamic request stack and multi-stage recycling of residual heat based on an energy quality gradient; and step 3, according to a statistical analysis result, dynamically adjusting a control parameter corresponding to the hierarchical energy-saving operation. Through the scheme of the invention, the monitoring real-time performance, the adaptability and the energy-saving effect are improved.

The invention provides a novel household double-source heat pump air conditioning system. The system comprises a phase change energy storage element, an air source evaporator / condenser, a compressor, a four-way reversing valve, a throttling valve, a heat storage water tank and the like. According to the novel household double-source heat pump air-conditioning system, in a winter heating mode, the heat pump can utilize heat in domestic supplemented water as a low-temperature heat source of the heat pump, and the heat load of a room is met through energy quality improvement of the heat pump. In a summer cold supply mode, the condensation heat of the heat pump can be used for heating domestic water, meanwhile, the cooling capacity in domestic supplemented water is used as a low-level cold source of the heat pump, the cooling load of a room is met through energy upgrading of the heat pump, and if the cooling capacity generated by the water source heat pump is not enough to meet the requirement, the air source heat pump is used as energy supplement. By using energy in domestic water, the efficiency of the heat pump can be effectively improved.

The application discloses a kind of multistage latent heat storage's quantity calculation method, first, the multistage latent heat storage required to be evaluated is identified, the multistage latent heat storage required to be evaluated is divided into regions, the boundary condition of the multistage latent heat storage required to be evaluated and the running time are obtained, the evaluation calculation parameter of each phase change material in the divided region is set, the current temperature value of each phase change material of the divided region at time t Is obtained, and the corresponding temperature distribution image is recorded;Solve the heat storage / heat release evaluation physical quantity of each phase change material in the divided region at time t , and the distribution of the heat storage / heat release quantity of each phase change material is obtained according to temperature distribution image;Calculate the total heat storage / heat release quantity of multistage latent heat storage at time t , according to the running time of multistage latent heat storage, the total heat storage / heat release quantity of multistage latent heat storage in the whole running process is calculated.The method realizes the energy quality evaluation of the heat storage, to optimize the performance of heat storage and provide theoretical guidance.