40 results about "Energy quality" patented technology

The invention provides a thermal management system energy grade and energy conversion difference measurement method based on # imgabs0 # analysis, and the method comprises the steps: obtaining key parameters of all parts of a system in real time, carrying out # imgabs1 # analysis, and obtaining an energy quality coefficient; performing grade difference measurement and heat flow distribution to obtain grade grading and flow direction configuration of each component; constructing a heat energy network model, and optimizing a network loop to form a high and low temperature multi-loop heat energy network; measuring component energy conversion efficiency difference to obtain a difference analysis result; analyzing the corresponding speed of energy conversion and performing control medium classification to obtain corresponding speed classification and medium distribution suggestions; and constructing a heat flow prediction model, designing an algorithm reward function, and obtaining an optimization control strategy based on response difference measurement. The heat flow can be reasonably distributed and utilized step by step according to the grade, the energy utilization efficiency of the total system is improved, the optimal energy utilization terminal combination scheme can be designed, energy loss is reduced, and the overall performance of the system is improved.

The invention provides an industrial flue gas waste heat energy recovery management method and system, and relates to the technical field of industrial thermal management, and the method comprises the following steps: S1, setting an energy layering system and an energy heat exchange structure; s2, analyzing to obtain a target energy grading interval and a target energy heat exchange mode of the to-be-recycled industrial flue gas, and performing heat exchange treatment on the to-be-recycled industrial flue gas to obtain to-be-stored waste heat energy; s3, a heat storage unit is arranged; s4, analyzing to obtain a target structure gradient interval of to-be-stored waste heat energy and a target storage medium; the waste heat energy to be stored is subjected to waste heat energy recovery and storage; and S5, a waste heat supply and demand prediction model is set, waste heat supply heat and waste heat demand heat are obtained through analysis, and industrial flue gas waste heat energy is managed according to the waste heat supply heat and the waste heat demand heat. According to the industrial flue gas waste heat energy recovery management system, the recovery management efficiency of industrial flue gas waste heat energy is improved through a three-in-one technical system of energy quality grading, dynamic energy storage and intelligent regulation and control.

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 relates to the technical field of electronics, and discloses a comprehensive energy management and control method, device, equipment and medium considering economic analysis, and the method comprises the steps: solving an optimization model based on different forms of output flows in a comprehensive energy system, the energy quality coefficient of each form of flow and the unit economic cost of each form of input flow; obtaining the target output power of each device in the integrated energy system; and controlling the integrated energy system based on the target output power of each device in the integrated energy system. According to the method provided by the invention, the target output power of each device in the integrated energy system is obtained by solving the optimization model, and the integrated energy system is managed and controlled based on the target output power of each device, so that the integrated energy system can operate orderly according to the optimization scheme; deep energy conservation and equipment optimization of the comprehensive energy system are realized from the aspects of stream input and equipment economic input, the realization cost is lowest, and the economic benefit optimization of the system is promoted.

The invention discloses a multi-energy coupling middle-deep layer buried pipe group and power grid cooperative regulation and control method and system, and the method comprises the steps: designing a hierarchical regulation and control architecture of bottom layer single pipe real-time control-middle layer pipe group heat balance-top layer system planning, and fusing model prediction control MPC and a deep reinforcement learning algorithm to carry out multi-time scale regulation and control; the method comprises the following steps: constructing a geothermal-wind-solar-energy storage complementary collaborative model, analyzing an energy conversion and distribution mechanism under multiple time scales based on a system dynamics and energy quality cascade matching theory, and performing effective collaboration among different energy forms by establishing a thermal-electric-energy storage dynamic balance strategy. A carbon transaction cost prediction module and an electric power spot price prediction module are integrated; according to the method, motion space dimension reduction is carried out by combining a physical constraint embedding strategy based on deep reinforcement learning, solution tool integration is carried out 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 permeability mutation are simulated, robustness testing is carried out, and a target model is output.

The invention relates to the technical field of electronics, and discloses a management and control method, device and equipment of an integrated energy system, a medium and a program product, and the method comprises the steps: solving an optimization model through employing a preset solving algorithm and the demand information of different forms of energy under a target working condition, and obtaining the target installed capacity and target output power of each piece of equipment in the integrated energy system; and managing and controlling the integrated energy system based on the target installed capacity and the output power of each device in the integrated energy system. According to the method provided by the invention, the target installed capacity and the target output power of each device in the comprehensive energy system are obtained by solving the optimization model, and the operation of the comprehensive energy system is adjusted according to the energy quality coefficient, so that the optimal utilization of resources is realized, and the comprehensive energy system can achieve the optimal utilization of the resources on the premise of not wasting energy. And user requirements are met to the maximum extent, energy cost is saved, and environmental influences are reduced.

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 invention discloses an energy conversion carbon hub model construction method, system, equipment and medium, belongs to the technical field of comprehensive energy analysis modeling, and aims to construct single-input single-output and single-input multi-output device carbon flow models considering equipment carbon loss by uniformly quantifying heterogeneous energy quality difference with efficiency. Defining a carbon potential coupling relationship and a distribution mechanism through efficiency; establishing an efficiency-based carbon flow rate coupling matrix, and accurately representing energy station input and output port carbon potential association; and by solving the carbon flow conversion coefficient, a carbon hub model fused with energy quality attributes is formed, and technical support is provided for a carbon emission reduction strategy of an energy station.

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 discloses a thermodynamic system based on energy mass flow space-time matching, which comprises a boiler system, a steam turbine system, a feed water heating system, a flexible peak regulation system, a condensation system and a temperature and pressure reduction system, and the thermodynamic system is constructed by introducing the flexible peak regulation system on a traditional subcritical unit. The boiler system is connected with the steam turbine system, the steam turbine system is connected with the feed water heating system and the condensation system, the feed water heating system is connected with the boiler system, the condensation system is connected with the feed water heating system, the flexible peak regulation system comprises a flexible powder storage system and a steam heat accumulator group, and the flexible powder storage system is connected with the boiler system. The steam heat accumulator group is connected with the water heating system and the temperature and pressure reducing system; the subcritical unit achieves energy mass flow space-time matching through the coupling flexible powder storage and supply system and the steam heat accumulator set. By constructing the thermodynamic system, deep peak regulation of the unit can be achieved, the cost of flexible transformation can be greatly reduced, and the operation benefits of the unit are increased.

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 invention provides an all-electric drive heat supply system with an external heat source, and belongs to the field of heat pumps. The problems that a multi-temperature-zone heat supply system is insufficient in starting and peak regulation energy and lacks a unified cascade energy bus structure, so that the dynamic efficiency and the operation stability are limited, and energy is wasted are solved. The high-temperature heat power bus, the medium-temperature heat power bus, the normal-temperature heat power bus and the cooling water circulation bus which are distributed in a stepped mode are adopted and can serve as starting heat sources of the heat pump process heat supply device, internal heat pump equipment is driven to achieve self-circulation heat supply operation after starting is completed, and heat can be directly supplied to the process end; the heat utilization requirements of different types of process ends are met, a large amount of low-grade waste heat is converted into available heat energy by means of temperature rise of the three-stage heat pump, and the available heat energy is recycled in the system. Or cross-stage or single-stage discharge of heat at the tail end of the process and multi-stage energy quality improvement of the heat pump are achieved, medium-deep geothermal energy serves as an energy core, redundant heat is discharged through the cooling tower, and supply stability and high efficiency are guaranteed.

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 discloses a construction method of an energy station carbon emission flow allocation model considering energy quality, comprising the following steps: taking efficiency as a measurement index of the quality of multiple heterogeneous energies such as electricity, gas and heat in the energy station; defining a carbon flow rate relationship between input and output ports of single-input-single-output devices and single-input-multiple-output devices, and establishing an optimal energy-carbon coupling tracking allocation model of energy conversion devices considering equipment loss based on efficiency; defining an efficiency-based carbon emission flow rate conversion efficiency, representing the input and output carbon flow rate relationship of the energy conversion device, defining an efficiency-based carbon flow rate coupling matrix and a conversion relationship to describe the relationship between the carbon potentials of the input and output ports of the energy station, and establishing an optimal energy-carbon coupling tracking allocation model of the energy station considering equipment loss based on efficiency. The application further constructs the optimal energy-carbon coupling tracking allocation model of the energy station, and provides an effective tool for carbon emission management of the energy station; by introducing the concepts of energy quality, quantity-quality collaboration and efficiency, high-emission links and potential energy-saving points in energy use can be more accurately identified, which is helpful for the energy station to formulate more targeted emission reduction strategies, optimize energy allocation and reduce overall carbon emission.

This invention relates to the field of heat pump intake detection technology and discloses a high-temperature heat pump intake detection system, including a data acquisition module and an intelligent monitoring module. The high-temperature heat pump intake detection system acquires intake volume flow rate, sensor data from monitoring points, and composition data of the mixed gas through the data acquisition module, classifying these into datasets. The intelligent monitoring module sets a monitoring cycle, analyzes the fluctuation degree of each intake, and generates fluctuation data sets. Stable flow rate avoids frequent compressor start-stop. It analyzes the operating status of each monitoring point, generates monitoring data sets, reduces the randomness of human intervention, analyzes the energy quality of the mixed gas inside the high-temperature heat pump, generates a quality coefficient, and optimizes energy utilization. The multi-dimensional analysis has high sensitivity. The intelligent monitoring module evaluates the stability of the high-temperature heat pump intake flow rate, the stability of the operating process, and the energy quality of the internal mixed gas, and outputs corresponding management suggestions, resulting in intelligent management and high energy utilization efficiency.

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 application relates to the technical field of comprehensive energy optimization scheduling, and discloses a multi-target optimization scheduling method for a comprehensive energy system, which comprises the following steps: constructing a comprehensive energy system model containing multiple energy forms and a demand response model; establishing an economic target function, a low-carbon target function and a system efficiency target function by taking the highest economy, the smallest carbon emission and the highest system efficiency as targets respectively; establishing a multi-target optimization scheduling model based on the target functions and constraint conditions; solving the multi-target optimization scheduling model by using an improved multi-target fog optimization algorithm based on the comprehensive energy system model, an electric load demand response model and a thermal load demand response model to obtain a Pareto optimal solution set; and selecting an optimal solution from the Pareto optimal solution set. The application can effectively balance the operation cost, environmental protection benefit and energy quality utilization; and the system efficiency target based on the energy quality coefficient is introduced, so that the limitation of traditional scheduling which pays more attention to quantity and less attention to quality is overcome.

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 application belongs to the technical field of waste incineration, more particularly to an incineration heat graded utilization method based on energy quality matching. The application breaks through the limitation of fixed pressure grade, establishes accurate mapping of steam quality and energy utilization scene based on real-time thermodynamic calculation of real-time steam parameters and real-time dynamic grading decision. Secondly, a steam demand dynamic response model is constructed through an LSTM load prediction module to identify the supply-demand gap of steam of different qualities in advance and form a priority allocation matrix. Finally, a multi-level optimization system with the goal of maximizing economic benefits and minimizing heat loss is constructed by combining a fuzzy PID control engine and a three-level path switching mechanism, so as to realize optimal dynamic matching of steam parameters and energy utilization equipment.

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 utility model provides a light-ultrasonic-geothermal coupling combined energy supply system, and relates to the technical field of comprehensive utilization of renewable energy sources. The system comprises a light condensation and heat collection unit, an organic Rankine cycle power generation unit, a photo-thermal energy storage unit, a geothermal energy heat exchange and storage unit and a heating unit. The light-ultrasonic-terrestrial heat coupling combined energy supply system can utilize solar energy and terrestrial heat energy to carry out thermal power generation and resident heating, energy supply modes are diversified, the utilization efficiency of the terrestrial heat energy is improved, waste of terrestrial heat resources is reduced, and energy conservation and emission reduction are achieved. The problems that single medium and low temperature geothermal energy power generation is low in efficiency and insufficient in energy grade decline are solved, and the problems that single solar power generation is discontinuous, unstable and high in cost are solved.