113 results about "Green electricity" patented technology

This invention discloses a scheduling method for direct green power connection to cement industrial parks, including acquiring data information of the target power system; generating green power scenarios for the target power system; establishing an optimized scheduling model for green power-cement industrial parks; and solving the constructed optimized scheduling model to complete the scheduling of direct green power connection to cement industrial parks. This invention also discloses a system for implementing the aforementioned scheduling method for direct green power connection to cement industrial parks. This invention not only achieves optimized scheduling of direct green power connection to cement industrial parks but also offers higher reliability and better accuracy.

The application discloses a kind of doping modification and granulation preparation methods for improving iron powder combustion heat value, belong to new energy storage and zero-carbon fuel technical field.The method is abandoned light and wind power electrolytic hydrogen as reducing agent, hydrogen reduction is prepared to millimeter level fuel particle with ignition temperature ≤600°C after iron oxide raw material is reduced to metal iron powder, through doping aluminum powder, silicon iron powder, magnesium powder and boron powder and other high heat value metal powder, combination binder granulation and surface passivation treatment, heat value ≥18 MJ / kg.The application significantly improves the combustion heat value of iron powder (50-100% higher than pure iron powder), reduces the ignition temperature, improves the storage stability and combustion characteristics, and the combustion products can be magnetically separated and recycled for use, and the remaining components can be sold as building material raw materials, constructing a zero-carbon energy recycling system of "green electricity hydrogen production-hydrogen reduction-iron powder combustion-product recovery", providing a technically feasible and economically reasonable solution for replacing coal-fired power generation.

The present application provides a kind of biomass gasification coupling SOEC co-electrolysis system and process of green fuel, the present application is coupled with biomass gasification and solid oxide electrolytic cell (SOEC) co-electrolysis synthesis gas path, with forestry waste biomass as raw material, adopt oxygen-carrying-CO2 adsorption functional material, construct gasification-adsorption integrated and SOEC co-electrolysis deep coupling system;System includes gasification unit, first heat exchange unit, gas purification unit, regeneration oxidation unit, SOEC electrolysis unit and fuel synthesis unit;With wind power, photovoltaic and other green electricity as SOEC electrolysis unit driving energy, integration biomass directional conversion, CO2 in situ capture-function material regeneration cycle, SOEC high temperature co-electrolysis is integrated, rely on heat cascade utilization, achieve system material closed loop reuse;By adjusting the amount of water vapor in the system, obtain specific hydrogen carbon ratio synthesis gas, so as to realize the production of green fuel, whole process saves traditional water gas shift process, improve system energy efficiency, avoid carbon loss, reduce high temperature energy consumption.

The application discloses a green electricity consumption system and method for synthesizing methanol by CO2 hydrogenation through plasma catalysis. H2 obtained by electrolysis of water and CO2 captured in an industrial process are first subjected to a reverse water gas shift reaction under efficient driving of normal pressure jet plasma to obtain a CO / CO2 / H2 mixed product, the mixed product is subjected to multi-stage pressurization after passing through a buffer storage tank, and green methanol is further synthesized in a hot catalytic bed. The application adopts a two-stage methanol synthesis system of plasma CO2 pre-conversion and CO / CO2 catalytic hydrogenation, solves the problems of catalyst deactivation and excessively high reaction temperature in a traditional hot catalytic reverse water gas shift reaction, and overcomes a thermodynamic bottleneck of a CO2 direct catalytic hydrogenation reaction. The plasma reaction device has high energy efficiency and is quick to start and stop, can be directly driven by fluctuating power, and the system maintains the stability of the catalytic system through intermediate product storage and multi-stage pressurization.

The present application relates to the technical field of zero-carbon factory operation and maintenance central control, and particularly relates to a zero-carbon factory intelligent operation and maintenance central control system and method, the system comprising a data platform, a digital twin construction module, a carbon trajectory real-time measurement module, a multi-target collaborative optimization engine, an edge-side active controller, a virtual power plant aggregation interaction module, a twin deduction and backtracking diagnosis module and a visual human-computer interaction interface, the carbon trajectory real-time measurement module comprising a dynamic emission factor library, and the multi-target collaborative optimization engine comprising a source-side intelligent agent, a load-side intelligent agent, a storage-side intelligent agent and a coordination intelligent agent. The present application can realize real-time carbon footprint tracking and transparent management, through multi-agent game, realize multi-target dynamic collaborative optimization of cost, carbon emission and green electricity consumption, improve response speed and reliability in the face of unexpected situations, so that the zero-carbon factory can not only realize internal low-carbon operation, but also obtain additional income by providing flexible services for the power grid.

The application provides a green electricity-driven hydrogen-based shaft furnace steeling cogeneration method, and relates to the technical field of iron and steel metallurgy and energy collaborative utilization. The hydrogen-based shaft furnace steeling cogeneration method realizes the green electricity-driven hydrogen-based shaft furnace steeling cogeneration method through renewable power supply and dynamic management, water electrolysis hydrogen production and hydrogen purification storage, iron ore pretreatment, hydrogen-based shaft furnace reduction, tail gas circulation and steeling cogeneration, whole-process monitoring control, environmental protection resource circulation and safety guarantee design. The method is simple and easy to operate, uses green electricity as energy, and is provided with a device structure and a whole-process monitoring control device structure capable of stably operating hydrogen production by green electricity, and has the advantages of low cost, high safety rate, high production efficiency, and is beneficial to industrial large-scale production and popularization.

This invention discloses a variable frequency AC aggregation method, storage medium, and equipment applicable to direct green electricity connection between wind and solar power clusters and a single user. The method selects the optimal nominal AC voltage value based on the power generation capacity of the wind and solar power cluster. It also divides the primary frequency regulation operating zone and the secondary frequency regulation target optimization range based on the matching status of power generation fluctuations and load. Furthermore, it sets the start-up range and adjustment mode of the automatic voltage regulator according to the frequency regulation operating mode. This method can adapt to the aggregation needs of wind and solar power clusters of different capacities, effectively improving the operational stability, security, and power quality of the aggregation system. It achieves efficient and controllable coupling between wind and solar power clusters and power users, and has practical, replicable, and scalable engineering application value.

This invention provides a method and apparatus for verifying the green electricity occupancy of smart rail shared charging stations. The method includes: acquiring time-slice energy metering data of the shared charging station; dividing smart rail vehicle charging events into time slices and calculating the total charging amount within each time slice; calculating the allocatable green electricity for a single charging event based on the time-slice energy metering data and the total charging amount within each time slice; calculating the upper limit of green electricity that a smart rail object can occupy based on the allocatable green electricity for a single charging event and the actual operational allocation of the vehicle after charging; and verifying the green electricity occupancy of the project based on the upper limit of green electricity that a smart rail object can occupy within a calculation period, based on physical metering data, charging events, and subsequent vehicle operation data, and thereby determining whether the green electricity occupancy in carbon neutrality declarations, carbon asset declarations, or carbon audits exceeds this upper limit.

This invention discloses a regionalized charging dispatching system for traditional power grids based on AI and green electricity collaboration, comprising a multi-source data perception layer, an artificial intelligence decision-making layer, an intelligent dispatching execution layer, an energy accounting supervision layer, and an energy storage system. The aim is to provide a regionalized charging dispatching system capable of collaboratively perceiving green electricity generation data, energy storage system operation data, traditional power grid supply data, regional charging load data, green electricity procurement data, and electricity purchase settlement data, and thereby achieving coordinated dispatching among green electricity, energy storage systems, and the traditional power grid. This improves the power supply coordination, green electricity utilization level, and energy supervision capabilities within the regional charging network.

The application discloses a kind of green power carbon reduction quantity accounting methods of inter-provincial transmission based on network topology, belong to carbon emission accounting technical field.The method includes: determining carbon reduction quantity accounting object, accounting space-time boundary and accounting basic mode;Based on inter-provincial power exchange data, construct the power transmission network topology model with provincial power grid as node, with power transmission relationship between power grid as directed edge;Based on accounting parameter, calculate the carbon reduction quantity basic accounting unit corresponding to each directed edge in power transmission network topology model;All carbon reduction quantity basic accounting units related to basic mode are executed directional aggregation operation, and the target carbon reduction quantity is output.The present application can realize standardization accounting to carbon reduction quantity in the discretization green power inter-provincial transmission scene, provide scientific, efficient quantification method for accounting carbon reduction quantity of green power inter-provincial transmission, provide reliable data source for quantifying ecological value of green power inter-provincial transmission and dividing regional carbon reduction responsibility.

This invention provides a method and apparatus for distribution network planning, relating to the field of new energy power generation technology. The method for distribution network planning includes: acquiring current distribution network parameters; determining a two-layer model of the distribution network system based on these parameters; wherein the upper-layer model of the two-layer model is constructed based on new energy investment inputs, green certificate trading costs, and carbon emission trading costs, while the lower-layer model is constructed based on distribution network operation problems; transforming the opportunity constraints of the upper-layer model into deterministic constraints, and constructing KKT conditions based on the lower-layer model; merging the deterministic constraints, KKT conditions, and the original constraints of the lower-layer model into the upper-layer model to generate a solution model; and determining the optimal system planning and operation scheme for the current distribution network based on the solution model, and configuring the distribution network accordingly. This method enables distribution network planning and operation while simultaneously considering new energy unit investment decisions, carbon emission trading, and green electricity certificate trading.

This invention discloses an unmanned intelligent photovoltaic green electricity distribution device for mines, featuring source-grid-load-storage coordination. The device includes a base, with a nested shock-absorbing assembly at the top. Above the nested shock-absorbing assembly is an energy storage distribution box. An energy storage interface compartment is connected to the left side of the energy storage distribution box, and a distribution control box is located on the right side. A flexible connection assembly is positioned above the energy storage distribution box, and a source-grid adapter box is located above the flexible connection assembly. A dual-path photovoltaic rectifier compartment is located on the left side of the source-grid adapter box, and a mine microgrid connection compartment is located on the right side. Utilizing the dual-path photovoltaic rectifier compartment within the source-grid adapter box, synchronous conversion of two photovoltaic DC power sources is achieved, improving power conversion efficiency and filtering power noise. The mine microgrid connection compartment integrates voltage regulation and lightning protection functions, enabling efficient connection with the mine microgrid.

This invention belongs to the field of integrated energy systems, specifically relating to a collaborative optimization method for a wind-solar-hydrogen-storage integrated energy system, aiming to solve the problem of the inability to dynamically optimize the allocation of environmental rights and interests in green electricity. The method includes: acquiring operational status information; establishing a dynamic decision-making model for environmental rights and interests in green electricity, calculating the marginal revenue of surplus green electricity between the green certificate selling path and the hydrogen production, storage, and emission reduction path based on real-time carbon prices, green certificate prices, and hydrogen prices, and outputting flow direction decision instructions; constructing a multi-timescale collaborative scheduling strategy, configuring lithium batteries as resources for minute-level power fluctuation mitigation, and configuring electrolyzers and hydrogen storage tanks as hour-level long-cycle energy time-shifting resources; executing multi-timescale energy management scheduling, and outputting an operational scheduling scheme. This invention also constructs a planning-operation two-layer optimization framework and a feedback correction mechanism, and uses an improved multi-objective particle swarm optimization algorithm for solution.

This invention discloses a multi-system integrated control method for cold and heat sources based on heat recovery. The method relies on a four-tube combined cooling and heating architecture linked by a central energy management controller, a medical gas compression waste heat cascade recovery system, and a photovoltaic power generation system. This invention can achieve physical coupling of cooling of clean operating rooms and preheating of domestic hot water through a four-tube chiller unit, recovering condensation heat while outputting cooling capacity. It can also achieve energy saving and consumption reduction by uniformly scheduling photovoltaic green electricity, compression waste heat, and cooling and heating capacity through a central energy management controller.

The application relates to the field of resource recycling, and specifically discloses a method for recycling waste lithium battery positive electrode materials from electrolytic gas field water. The method comprises the following steps: preparing sodium hydroxide and sodium carbonate solids; sequentially treating the gas field water with the sodium hydroxide and the sodium carbonate to precipitate and remove impurity ions such as magnesium and calcium, and obtaining pretreated gas field water; taking the pretreated gas field water as an electrolyte, placing waste lithium battery positive electrode materials in an anode chamber of an ion membrane electrolytic cell, performing constant current electrolysis by relying on green power of a natural gas well site, leaching valuable metals from the anode, synchronously generating hydrogen and precipitating metals at the cathode, and synchronously outputting chlor-alkali products from the anode; after electrolysis, solid-liquid separation is performed on materials at the two poles respectively, finally, the anode liquid and the cathode liquid are mixed to co-precipitate residual metal ions, mixed metal precipitates are obtained after filtration, and the product can be used for lithium battery positive electrode material regeneration. The application couples gas field water treatment and battery recycling, treats waste with waste, does not need to add acid and alkali, and has a green and low-carbon process, so that the utilization of waste resources is realized and high value utilization is achieved.

The present application relates to a peak-valley period division method based on low-speed electric vehicle charging and new energy power generation, and belongs to the technical field of power grid regulation. The new energy data in the measured area and the historical data of low-speed electric vehicle charging load of residents in the measured area are obtained, the low-speed electric vehicle charging activity and the green electricity adequacy of the area are calculated, the coupling index between the characteristics of low-speed electric vehicle charging and new energy power generation is constructed according to the obtained low-speed electric vehicle charging activity and green electricity adequacy, the peak-valley period division model is constructed according to the coupling index, the low-speed electric vehicle is guided to charge in the green electricity adequacy period through the peak-valley period division model, and the peak-valley difference of the power grid is reduced. The present application combines the charging start time, end time, charging power, charging activity, green electricity adequacy and other characteristics, establishes the peak-valley period division model based on the coupling index, dynamically updates the peak-valley period, and matches the green electricity adequacy and charging demand, so as to improve the new energy consumption efficiency and the power grid load balancing ability.

This invention discloses a dynamic carbon emission factor calculation method based on time-of-use pricing and a four-account responsibility system, belonging to the field of electricity carbon emission accounting technology. This method constructs a four-account responsibility system encompassing power generation, inter-provincial electricity sales, green electricity trading, and electricity consumption, defining the carbon responsibility boundaries for various electricity sources; establishes a carbon intensity prediction mechanism precisely matched to time-of-use pricing periods, and verifies the calculation results using multi-dimensional monitoring data; optimizes model parameters through monthly data calibration to reduce prediction bias; and outputs multi-dimensional visualized carbon signal products. This invention solves the problems of ambiguous responsibility and mismatched signal transmission of electricity carbon factors in traditional static accounting methods, realizing a shift from static averaging to dynamic accounting of electricity carbon emission factors, providing core methodological support for precise government governance, grid absorption of green electricity, cost reduction and efficiency improvement for enterprises, and public behavior guidance.

The application discloses a biomass pyrolysis method and device driven by solar heat and photovoltaic green electricity, which comprises a solar light condensing unit, a spectrum separation unit is arranged on an exit path of the solar light condensing unit, and the spectrum separation unit separates light energy into a first wave band and a second wave band; a photoelectric conversion unit and a photo-thermal conversion unit are arranged on an output path of the spectrum separation unit; the photoelectric conversion unit converts the first wave band into electric energy output; the photo-thermal conversion unit converts the second wave band into thermal energy output; wherein the photo-thermal conversion unit and the photoelectric conversion unit cooperate to pyrolyze biomass materials; by separating solar radiation into short-wave light and long-wave light and guiding the short-wave light and the long-wave light to photovoltaic power generation and photo-thermal heating paths respectively, step-by-step efficient utilization of full spectrum of solar energy is realized, and the energy conversion efficiency of a unit area is greatly improved.

This utility model discloses a circulating fluidized bed gasifier, a CO2-captured cement production line, and a gypsum decomposition system. The cement production line, by modifying the decomposition furnace structure and adding a circulating feed pipe, a jacketed circulating fluidized bed gasifier, and a green hydrogen system, achieves high-concentration carbon dioxide capture and alternative fuel recycling. The industrial by-product gypsum decomposition system uses an electromagnetically heated decomposition furnace, gasification coupling, and a green hydrogen system for power supply, achieving co-production of sulfuric acid and lime with low carbon emissions. Both the cement production line and the industrial by-product gypsum decomposition system convert carbon dioxide into combustible gas for their own combustion through a jacketed circulating fluidized bed gasifier, combined with green electricity-to-hydrogen technology, completely solving the problems of fuel cost and carbon emissions. This system features high capture efficiency, low energy consumption, and compact equipment, making it suitable for large-scale industrial applications.

This invention relates to the field of groundwater pollution remediation technology, specifically to a multifunctional synergistic filler and a green electricity-driven electrochemical groundwater remediation method. The filler uses attapulgite or montmorillonite-modified biomass pyrolytic carbon as a substrate, in-situ constructing a three-dimensional interconnected conductive network of graphene quantum dots and carboxylated carbon nanotubes. It anchors bifunctional catalytic sites composed of layered bimetallic hydroxides and defective metal oxides, possessing multiple functions including water permeability, adsorption and capture, electron transfer, and electrocatalytic reduction. Based on this filler, this invention constructs an e-PRB remediation wall, using solar green electricity to drive a fluctuating electric field to enhance the directional migration and in-situ fixation of heavy metals. An integrated multi-field coupling numerical model and dual intelligent control algorithm enable adaptive operation, simultaneously completing targeted heavy metal remediation, resource recovery, and in-situ regeneration of the filler. This method boasts high remediation efficiency, low carbon footprint, and environmental friendliness, making it suitable for various in-situ remediation scenarios for heavy metal pollution in groundwater.

This invention discloses a two-tier decision-making method and system for collaborative electricity-carbon trading among building producers and consumers. The method constructs a two-tier optimization framework for collaborative electricity-carbon trading based on the functional responsibilities of upper-level aggregators and the carbon trading positioning of lower-level building producers and consumers. It categorizes individual buildings according to differentiated carbon emission compliance requirements and calculates CCER mutual recognition amounts based on the principle of emission reduction equivalence and the amount of green electricity consumed in each scheduling period. Through dynamic application and allocation by aggregators, a dynamic carbon emission reduction mutual recognition mechanism is constructed. Combining the framework and mutual recognition mechanism, a two-tier objective function and constraints including building thermal balance are constructed, forming a two-tier nonlinear optimization model. This model is then transformed into a single-tier mixed-integer linear programming model through Boolean variable constraint relaxation, Lagrangian function construction, KKT condition transformation, and strong duality principle and Big M method linearization to obtain the decision results. This invention solves the problems of missing differentiated carbon compliance paths for building producers and consumers and poor adaptability of the electricity-carbon collaborative model in existing technologies.

The present application relates to the technical field of electric power carbon metering, and discloses a dual-dimension green electricity identification and dynamic carbon accounting method based on deep learning, which solves the technical problems of insufficient reliability, rough processing of electrical quantity characteristics, and poor granularity and timeliness caused by static lag in carbon emission accounting in the prior art due to the fact that green electricity identification relies on single-dimension information. The present application overcomes the defect of unreliable single information source identification through protocol and physical dual-dimension fusion identification, improves the distinguishing accuracy of different green electricity types through a physical feature grouping interactive convolution model, solves the problems of static accounting lag and coarse granularity through real-time calculation of dynamic emission factors and carbon quota balance, and realizes significant improvement in green electricity identification accuracy, real-time dynamic updating of carbon emission accounting, and terminal closed-loop calculation of carbon quota.

The present application relates to a kind of green metatitanic acid fast direct transmission deviating crystallization system of green metatitanic acid, including desulfurization tower, induced draft fan, bag dust collector, scattering dryer, high-temperature fan, cyclone one cylinder, suspension calcining furnace, cyclone two cylinders.The present application uses suspension calcining technology to produce titanium dioxide, uses green electricity as electric energy, recycles and utilizes the byproduct carbon dioxide, is conducive to product zero-carbon production, promotes the carbon neutralization of titanium dioxide industry.

The application relates to the technical field of power equipment, in particular to a green power transaction distribution device convenient to install, which comprises a supporting assembly, a top plate integrally formed at the end of a fixing plate, a side support assembly comprising a plurality of supporting legs, installation channels penetratingly arranged on the outer wall of the supporting legs and positioning pieces arranged at the end of the supporting legs and capable of being detachably connected with the top plate, and a distribution device capable of being detachably connected with the installation channels. The distribution device provided by the application fixes the device body on the wall through the side support assembly, realizes the quick fixing of the device when effectively utilizing the space as much as possible, and further folds and stores the side support assembly when idle, so that the space occupancy is further reduced, and the problems existing in the prior art are effectively solved.

This invention relates to a method for collaborative carbon-health accounting throughout the entire lifecycle of power modules, comprising: S1: collecting data from power modules and performing cross-stage data association and alignment based on digital twin identifiers; S2: determining the electricity carbon emission factor; calculating dynamic operating carbon emissions based on the carbon emission factor and real-time power loss; S3: calculating carbon emissions during manufacturing, use, and end-of-life stages, and normalizing them into a product-level full lifecycle carbon footprint value; S4: randomly sampling the remaining lifespan and future green electricity penetration rate using a random simulation method, calculating the probability distribution of net carbon gains from tiered utilization, and outputting retirement decision recommendations; S5: calculating cryptographic hash values, digitally signing key data packets, and generating zero-knowledge proofs. This method achieves seamless data integration across the entire manufacturing-operation-retirement chain, collaborative dynamic accounting of carbon emissions and health status, repeatable calibration of thermal resistance aging parameters, probabilistic quantification of retirement decisions, and reliable anchoring of data sources.

This invention discloses a flexible control method and system for an LF furnace based on direct green electricity connection, belonging to the field of new energy power application technology. The invention constructs a virtual energy storage model of molten steel thermal inertia, utilizing the temperature dead zone for overheating energy storage to smooth power gaps; and through the inverse linkage between the short-term voltage stability index (SSI) and the bottom-blown argon flow rate, it utilizes rapid pressure relief to eliminate the gas path pressure capacitance effect and smooth the molten pool surface, achieving active arc stabilization; simultaneously, it combines electrode adjustment variable structure control based on a time window filter to solve the scale mismatch problem of mechanical hydraulic response lag and high-frequency voltage fluctuations. This invention significantly improves the level of new energy absorption without requiring additional hardware energy storage, effectively avoids the risks of electrode arc interruption and carbon increase, and ensures production continuity and metallurgical quality under direct green electricity connection.

The application discloses a hierarchical operation control method and system for a bio-natural gas production and storage integrated system, and the method comprises the following steps: acquiring system operation states and external environment information; constructing a monthly planning layer, optimizing cross-seasonal gas storage targets based on long-term prediction, and considering slow process dynamics of anaerobic fermentation; constructing an hourly scheduling layer, formulating hydrogen production and power generation plans based on short-term prediction and model prediction control, and introducing a hydrogen synthesis hydrogen injection rate change rate penalty; constructing a minute-level real-time control layer, rolling tracking plans based on ultra-short-term prediction, and designing a rapid response loop to respond to sudden green electricity consumption, peak regulation and frequency regulation demands; and feeding back real-time operation data to the upper layer for adaptive updating of model parameters. The application integrates multi-scale prediction information, coordinates fast and slow processes, realizes efficient consumption of green electricity and flexible support of the power grid, and can be widely applied to the optimal operation control of bio-natural gas production and storage systems.

This invention relates to the field of power system energy storage technology, specifically to a method and device for site selection and capacity determination of computing-powered energy storage based on grid-connected green electricity direct connection. The method includes: acquiring 8760 hours of time-series operational data and line data from a computing center and new energy power plants, setting the connected grid as an infinite power source; using K-means clustering to obtain typical daily scenarios; constructing a parallel computing framework for three energy storage deployment scenarios, with the minimum life-cycle cost as the objective function, combined with constraints such as power balance; and solving the problem using particle swarm optimization and determining the optimal solution through economic comparison. The corresponding system includes modules for annual historical data acquisition, typical daily scenario clustering, parallel optimization framework, optimization problem solving, and solution acquisition, with each module collaboratively executing the above method. This invention fills a technological gap, improves computational efficiency, achieves optimal economic energy storage configuration, ensures power supply reliability, and facilitates the full absorption of green electricity.

The application discloses a kind of subcritical water processing urban and rural garbage systems and methods coupled with fused salt energy storage, belong to organic solid waste resource and energy storage technical field.The system includes subcritical water processing unit, fused salt heat storage energy supply unit, heat coupling unit, product separation and energy unit and intelligent control unit.The core innovation is to provide stable, renewable main heat source for subcritical water reactor through fused salt heat storage system, and intelligently integrate product waste heat recovery, self-produced fuel recycling and multi-mode scheduling strategy based on real-time electricity price and renewable energy output.The method is particularly suitable for the collaborative processing of urban and rural household garbage and agricultural straw in cold regions of the north, can efficiently utilize off-peak electricity or surplus green electricity, significantly reduce processing energy cost, and realize the transformation of garbage processing facilities into regional integrated energy stations with combined heat and power supply and grid peak shaving functions.

The utility model relates to a kind of electric heating semi-coke oven for low-rank pulverized coal dry distillation, including upper coal system, semi-coke oven and coke discharging system sequentially connected from top to bottom;Multiple carbonization chambers and electric heating chambers are arranged in the furnace body of semi-coke oven, each carbonization chamber is equipped with electric heating chamber on both sides, and electric heating device is arranged in electric heating chamber;Multiple temperature measuring ports are arranged on the furnace wall of semi-coke oven for installing temperature measuring device, and electric heating device and temperature measuring device are interlocked controlled;Upper coal system adopts double-bin double-valve structure.The semi-coke oven uses green electricity to provide heat source, saves energy and is pollution-free, the temperature control in dry distillation area is accurate, and the material is evenly heated;Multiple carbonization chambers share a set of upper coal system and coke discharging system, which reduces investment cost;Upper coal system adopts double-bin double-valve structure, which can effectively prevent gas from escaping and improve environmental protection.