32 results about "Low-carbon power" patented technology

The invention relates to a low-carbon dispatching method and device for an electric power system based on large-scale wind power grid connection. The low-carbon dispatching method comprises the following steps of: (1) collecting power grid data of a given power grid system in the next dispatching cycle by a dispatching system of the electric power system; (2) capturing active load distribution values of a wind power farm and each generator by a low-carbon dispatching system according to the power grid data collected by the dispatching system of the electric power system; (3) making a new power generation executing plan by the dispatching system of the electric power system according to the active load distribution values of the wind power farm and the generators, which are captured by the low-carbon dispatching system; and (4) sending the new power generation executing plan, which is made by the dispatching center of the electric power system, to the wind power farm and a thermal power plant by a power generation executing system so as to execute the plan. The invention has the following advantages that the economy of power production is considered, and moreover, the protection of ecological environment is paid more attention to at the same time; and requirements for energy-saving and emission reduction are met, and low-carbon power production is promoted.

The invention discloses a direct current microgrid coordination control method including bus voltage compensation and dynamic allocation of load power. An independently operated direct current microgrid can be constructed, and includes a distributed power supply for realizing low-carbon power generation, an energy storage system for compensating the intermittence and randomness of the distributedpower supply and a frequently-used direct current load; defects of traditional droop control in the direct current microgrid and the reference value of bus voltage in a direct current microgrid systemcan be analyzed; distributed secondary control considering voltage adjusting control and current correction control can be provided, and a strategy performs compensation on the direct current bus voltage brought by the traditional droop control so that the bus voltage can be recovered to a rated value; and the high precision load power distribution can be achieved by continuously adjusting droopcoefficients. Thus, communication requirements can be reduced; and through the utilization of bottom broadband communication, the high performance of load power distribution of island direct current microgrids can be realized, the reliability of the system can be enhanced, balance of supply and demand can be ensured, and stable bus voltage and small fluctuation can be achieved.

The invention relates to an assessment method with the consideration to low-carbon scheduling and emission reduction benefit of carbon transaction, and the method comprises the steps: building a low-carbon power generation scheduling daily planning model, wherein the low-carbon power generation scheduling daily planning model comprises a carbon transaction model, a thermal power generating unit cost model with the consideration to the carbon transaction, a wind power cost model with the consideration to the carbon transaction, a low-carbon scheduling target function, and an emission reduction benefit calculation model; and obtaining the carbon emission with the consideration to the carbon transaction price and the emission reduction benefit, brought by the consideration of the carbon transaction cost, through the built model. The method can be used for providing an optimization control strategy for the daily power generation scheduling, reduces the carbon emission, improves the power generation proportion of clean energy, and quantifies the emission reduction benefit in a mode of low-carbon scheduling.

The invention discloses a hybrid AC / DC microgrid optimization operation method and device considering source-grid-load interaction, and the method comprises the steps: enabling a hybrid AC / DC microgrid to be divided into an AC power supply region and a DC power supply region; obtaining a parameter of demand-side load equipment, classifying loads, and obtaining a 24-hour load demand prediction value of a microgrid; obtaining parameters of a converter in the hybrid AC / DC microgrid, and determining a calculation formula of power conversion loss of the converter; estimating the distribution curves of maximum output and load power of a photovoltaic cell and a wind driven generator through employing a probability method; and optimizing the operation of the hybrid AC / DC microgrid through a random chance constraint Stackelberg game model. The device comprises a dividing module, a first obtaining module, a second obtaining module, an estimation module, and an optimization module. The method and device improve the economic benefit environment benefit of microgrid operation, achieve the purpose of energy saving and loss reduction, and facilitate the construction of a reliable, environment-friendly and low-carbon power supply environment for economy.

The invention discloses a low-carbon power generation dispatching method for a wind farm, which belongs to the field of operation and control of power systems, and includes the steps: 1) building a low-carbon power generation dispatching model for the wind farm; and 2) solving the low-carbon power generation dispatching model for the wind farm by means of a chaotic differential evolution algorithm. The low-carbon power generation dispatching method for the wind farm has the advantages that 1) actual conditions of the wind farm are more accurately reflected, so that a dispatching scheme formulated on the basis is more reliable; 2) taking CO2 emission restriction into consideration, so that the environment-friendly requirement is met; and 3) taking minimization of fuel cost of a fuel coal fossil power plant as the purpose, so that dispatching economy is guaranteed. The low-carbon power generation dispatching method for the wind frame based on the chaotic differential evolution algorithm can effectively solve the problems of high dimension, non-convexity, nonlinearity and multiple restrictions in power generation dispatching of the power systems, and can overcome the shortcomings of easiness in local convergence and prematurity of a standard differential evolution algorithm.

The invention relates to a low-carbon power source and power grid optimization planning method. The method includes the steps that various power source capacities in each area are divided into the local capacities and the delivery capacities, and inter-area point-to-point direct-sending lines are built in an equivalent network so that inter-area electric quantity flowing and inter-area carbon emission transferring can be defined, and electricity use carbon emission can be conveniently measured; decision variables of a low-carbon power source and power grid optimization model are built, the low-carbon power source and power grid optimization model composed of an objective function and constraint conditions is built with the decision variables, and the constraint conditions in the low-carbon power source and power grid optimization model are converted to be in the mode that the constraint conditions can be calculated through matrixes; the low-carbon power source and power grid optimization model is solved by compiling a solving program, and low-carbon power source and power grid optimization planning of various power sources and power transmission lines in an electric system is obtained, so that the electric system has the optimal economic benefits in the low-carbon development mode. By means of the low-carbon power source and power grid optimization planning method, the technical support is provided for improving the low-carbon level of electric system planning.

The invention discloses a low-carbon power supply investment decision-making method of a power capacity market under a new energy access condition. The low-carbon power supply investment decision-making method comprises the following steps of 1) building a mathematical model of the capacity market by taking low-carbon power supply installed capacity subsidy as an incentive method of the capacity market; 2) building a mathematical model of an electric energy market; 3) building a mathematical model of simulating a balance market; 4) building a comprehensive profit model of a power generation set according to the mathematical model of the capacity market, the mathematical model of the electric energy market and the mathematical model of the balance market; and 5) calculating annual comprehensive profit of the power generation set according to the comprehensive profit model of the power generation set, building a low-carbon power supply investment model of the power generation set according to the annual comprehensive profit of the power generation set, and estimating an investment state of the power generation set according to the low-carbon power supply investment model of the power generation set. By the method, the simulation of the capacity market is introduced to make a decision of low-carbon power supply investment of the power capacity market.

The invention relates to an uncertain two-stage chance-constraint low carbon power optimized planning method, and belongs to the technical field of power planning. The method comprises that a low carbon power planning model is established by combining historical and prediction data obtained from a scheduling system and a load prediction system in the smart power grid with an energy-saving emission-reduction index and carbon discharge transaction price data and taking maximizing the profit as a goal; power demand, carbon discharge quota and an over-generation risk are involved into the plan viaa chance-constraint way, a two-stage random planning method is used, a two-stage chance-constraint low carbon power plane model is established by optimizing, uncertain parameters in the model are setinto an interval form, and a stable feasible interval solution is obtained. The interval solutions obtained for decision targets in different plan periods can help a decision maker make a balance between the system benefit and environment target, a more reliable scheme is provided for power production, the economic benefit of a power enterprise can be improved, and sustainable development of theregional economy is facilitated.

The invention discloses a system and technology for carrying out sea water desalination and generating at the same time by utilizing a geothermal resource. The system comprises a sea water taking unit, a raw water pre-treatment unit arranged below sea level, a geothermal heat removing unit as well as a raw water replenishing unit, a reverse osmosis unit, a fresh water lifting unit and a hydraulic generating unit which keep appropriate head fall with the raw water pre-treatment unit, wherein a water diversion pipeline of the hydraulic generating unit is communicated with the sea water taking unit, a tail water pipeline of the hydraulic generating unit is respectively communicated with the raw water replenishing unit and the fresh water lifting unit; the geothermal heat removing unit respectively outputs heat energy to the raw water replenishing unit and the fresh water lifting unit by virtue of a heating pipeline; after sea water is treated by the raw water pre-treatment unit, generating is carried out firstly by virtue of water potential energy, then pressure of tail water after generating is supplemented by the raw water replenishing unit, the sea water is subjected to reverse osmosis desalination, then raw water is separated into fresh water and strong brine, geothermal heat energy-water potential energy-electric energy conversion is realized, and the social problems of scare fresh water and lack of low-carbon generating at present are solved.

The invention discloses a low-carbon power supply grid planning model considering carbon emission flow. A target function is shown in specification as follows, wherein Cy, C<O>y, C<G>y and C<T>y respectively express total investment construction cost, fixed running cost, variable running cost and regional connection line onstruction cost of a system in the y(th) year, the fifth item in the target function expresses carbon transaction cost, the Cy, the C<O>y and the C<T>y are described by investment problem, the C<G>y is described by running sub-problem, Y expresses all years to be planned, and r expresses inflation rate.

The invention relates to a low-carbon intelligent park resource-load coordination optimization method, and the method comprises the steps: initializing time t as zero, and enabling the time t to serve as the start point; initializing parameters of all time periods, and inputting state data; calculating the total carbon emission of a conventional set in the time period, the carbon emission limit of this time period and the carbon excessive emission cost; calculating the power generation cost of the conventional set and the generalized cost of wind power, and obtaining resource-load coordination call cost; determining a target function and a constraint condition, and consuming large-scale wind power through adjusting the output of a thermal power generating unit. The method solves a problem of resource-load coordination optimization of a low-carbon power system with a wind farm, finds an optimal solution to an optimization model, and achieves the system safety, economic and low-carbon targets.

A DC micro-grid consistency sliding mode control method including bus voltage compensation and power distribution comprises: firstly, constructing an independently-operating DC micro-grid system, comprising an environment-friendly low-carbon power generation distributed power supply, an energy storage system and some DC loads commonly used by a micro-grid; presetting a bus voltage reference valueof the direct-current microgrid; providing the consistency sliding mode control method considering voltage regulation and current correction control. The controller controls the bus voltage when the system fluctuates, so that the bus voltage is recovered to a set value, the voltage and current values are regulated through sliding mode control, and high precision of load power distribution is achieved.

The invention discloses a robust economic dispatch determining method and system for a low carbon power system. The method comprises the steps that the operation data of carbon capture units CCPs areacquired; a robust economic dispatch model is established according to the operation data; the Pareto optimal solution set is determined according to the robust economic dispatch model; a dispatch policy is determined in the Pareto optimal solution set by using a Nash negotiation criterion; the dispatch policy takes into account the power generation cost and the carbon emission amount; and according to the dispatch policy, a golden section method is used to determine robust economic dispatch. The robust economic dispatch determining method and system can take into account the power generationcost and the carbon emission amount, and can improve the stability of the low carbon power system.

The invention discloses an overload adjusting method for a power transmission network. The method comprises that a shortest electrical distance between any two nodes in the power transmission network is obtained an a shortest path manner, and a shortest path set is formed; a line A0B0 is determined to be overloaded, and according to the shortest path set, a nearest node A1, a second nearest node A2 to a farthest node Am of the node A0 as well as a nearest node B1, a second nearest node B2 to a farthest node Bm of the node B0 are obtained; and output adjustment is carried out on a normal thermal plant set. According to the invention, nearby adjustment is carried out via the shortest path manner, thereby rapidly reducing the overload of the line with fewer adjustment times, and minimizing the influence of line overload on the operation stability of the electrical network; and fossil fuel consumption and corresponding carbon discharge caused by generating set adjustment are considered, so that output power of the normal thermal generating set is adjusted in priority, waste of clean low-carbon power supply as water and wind power is avoided as possible, and the influence of line overload on carbon discharge of a system is minimized.

The invention relates to a new energy and coal-fired power plant coupled low-carbon power generation system using green ammonia as a carrier, which belongs to the field of new energy power consumption and coal-fired power plant carbon reduction, and comprises an energy power generation device, an electrolytic hydrogen production tank, an air separation device, an ammonia synthesis tower, an ammonia supply system, an ammonia burner and a pulverized coal boiler, the output end of the energy power generation device is connected with power interfaces of the electrolytic hydrogen production tank and the air separation device, a hydrogen outlet of the electrolytic hydrogen production tank is communicated with a hydrogen inlet of the ammonia synthesis tower, and a nitrogen outlet of the air separation device is communicated with a nitrogen inlet of the ammonia synthesis tower. An ammonia burner is arranged on the wall face of a hearth of the pulverized coal boiler, green ammonia synthesized by the ammonia synthesis tower is conveyed to the ammonia burner through an ammonia supply system and finally sprayed into the pulverized coal boiler to be burnt, and part of fire coal is replaced. Green hydrogen and green nitrogen are prepared by using new energy electric power, then green ammonia which is more convenient to convey and store is synthesized, and finally the green ammonia is outwards conveyed as an energy carrier, so that the problem of new energy grid-connected conveying is effectively relieved.

The invention discloses a loss reduction quantitative empirical method for an energy-saving transformer based on electricity quantity loss amortized computation and belongs to the field of power distribution network low-carbon power research. The loss reduction quantitative empirical method includes the following steps of 1, measuring of network electricity quantity losses; 2, collection of measuring point loads of the head segment of a circuit; 3, demonstration of the loss-reduction effect. The electricity quantity loss value is converted to the same benchmark, quantitative comparison of energy-saving electricity quantity is achieved, real energy-saving electricity quantity obtained after the energy-saving transformer is mounted can be obtained, the loss-reduction effect of the energy-saving transformer is quantified, it is beneficial to popularization of the energy-saving technology, and a theoretical basis is provided for energy conservation and emission reduction work of the nation.

The invention discloses a negative carbon emission system and a method thereof. Carbon dioxide molecules can be fixed by growing plants through plant photosynthesis. When the wavelength of photons that cause the plant synthesis are properly designed to enhance plant photosynthesis of plants. A LED light source, whose carbon footprint is lower than a threshold value and the conversion efficiency ishigher than a threshold value, is adopted. A low carbon power supply with carbon footprint lower than a threshold value such as a solar panel is used. When the combination is realized, carbon dioxidemolecules absorbed by plants through photosynthesis are more than emitted carbon dioxide molecules, long term negative carbon emission is realized, and the system can be used to capture carbon dioxide.

The invention provides a low carbon power grid planning method considering demand side management. The method comprises the following steps of (1) establishing a low carbon power grid planning mode; and (2) establishing a low carbon power grid planning model. In the invention, influences of the demand side management and low carbon development on power grid planning are analyzed. From four aspects of basic data collecting, power load forecasting, electrical check calculation and economic evaluation, the influences of the demand side management and low carbon development on a power grid planning process are specifically analyzed. Competitiveness of a low carbon power supply can be increased, low-carbon performance of a power supply structure is promoted, an integral low carbon level of a system is promoted too and energy saving low carbon development is realized.

The invention discloses a hybrid AC / DC microgrid optimization operation method and device considering source-grid-load interaction, and the method comprises the steps: enabling a hybrid AC / DC microgrid to be divided into an AC power supply region and a DC power supply region; obtaining a parameter of demand-side load equipment, classifying loads, and obtaining a 24-hour load demand prediction value of a microgrid; obtaining parameters of a converter in the hybrid AC / DC microgrid, and determining a calculation formula of power conversion loss of the converter; estimating the distribution curves of maximum output and load power of a photovoltaic cell and a wind driven generator through employing a probability method; and optimizing the operation of the hybrid AC / DC microgrid through a random chance constraint Stackelberg game model. The device comprises a dividing module, a first obtaining module, a second obtaining module, an estimation module, and an optimization module. The method and device improve the economic benefit environment benefit of microgrid operation, achieve the purpose of energy saving and loss reduction, and facilitate the construction of a reliable, environment-friendly and low-carbon power supply environment for economy.

The invention discloses a robust economic dispatch determining method and system for a low carbon power system. The method comprises the steps that the operation data of carbon capture units CCPs areacquired; a robust economic dispatch model is established according to the operation data; the Pareto optimal solution set is determined according to the robust economic dispatch model; a dispatch policy is determined in the Pareto optimal solution set by using a Nash negotiation criterion; the dispatch policy takes into account the power generation cost and the carbon emission amount; and according to the dispatch policy, a golden section method is used to determine robust economic dispatch. The robust economic dispatch determining method and system can take into account the power generationcost and the carbon emission amount, and can improve the stability of the low carbon power system.

The invention discloses a low-carbon power machine which is formed by combining a box body or N box bodies. A motor, a generator, a centralized controller and a battery pack are installed on the box body; the motor is in power connection with the input shaft end of a boosting transfer mechanism device; the generator is in power connection with the output shaft end of an output rotating speed fine tuning device; the battery pack is electrically connected with the input end of a centralized controller device; the generator is electrically connected with the input end of the centralized controller device; the output end of the centralized controller device is electrically connected with the motor; the output end of the centralized controller device is electrically connected with a battery pack charger; the centralized controller device is provided with an inverter, a frequency converter, a transformer, a charger, a component and a circuit board; and the boosting transfer mechanism device is provided with two groups of crank shafts which are symmetrical right and left and are overlapped in the upper layer and the lower layer, connecting rods, levers and clutches which are organically combined. The invention has the advantages of high power output efficiency, low carbon, energy saving, zero emission and beneficial small, medium, low-power and high-power development and production.

The invention relates to a carbon-emission-analysis-combination-based diversified load control method. The method comprises: according to a result of comparison between current load node carbon emission intensity data obtained by calculation and threshold data, difference controlling is carried out on loads with different types; when the current load node carbon emission intensity data obtained by calculation are higher than the threshold data, power supply of a current node system is determined to be in a high carbon power mode and thus a control goal of minimizing power usage by a current node load is set; and when the current load node carbon emission intensity data obtained by calculation are lower than the threshold data, power supplying of the current node system is determined to be in a low carbon power mode, and thus a control goal of increasing power usage by the current node load is set. According to the invention, the carbon emission calculation result is associated with the load control; and controllable characteristics of loads with different types are taken into consideration fully. Therefore, the power consumption way can be adjusted reasonably according to the carbon emission situation of the power grid and thus an objective of carbon emission reduction of the power grid can be achieved.

The invention relates to a low-carbon dispatching method and device for an electric power system based on large-scale wind power grid connection. The low-carbon dispatching method comprises the following steps of: (1) collecting power grid data of a given power grid system in the next dispatching cycle by a dispatching system of the electric power system; (2) capturing active load distribution values of a wind power farm and each generator by a low-carbon dispatching system according to the power grid data collected by the dispatching system of the electric power system; (3) making a new power generation executing plan by the dispatching system of the electric power system according to the active load distribution values of the wind power farm and the generators, which are captured by the low-carbon dispatching system; and (4) sending the new power generation executing plan, which is made by the dispatching center of the electric power system, to the wind power farm and a thermal power plant by a power generation executing system so as to execute the plan. The invention has the following advantages that the economy of power production is considered, and moreover, the protection of ecological environment is paid more attention to at the same time; and requirements for energy-saving and emission reduction are met, and low-carbon power production is promoted.

The invention discloses a rolling optimization scheduling method based on self-adaptive change of energy scheduling time. The method comprises the following steps: S1, establishing a power load model and an energy output model; s2, determining a multi-objective function of the low-carbon power generation dispatching model by taking the lowest power generation energy consumption and the lowest carbon emission of the power system as optimization objectives; s3, the low-carbon power generation dispatching optimization model with the double optimization targets can be converted into a single objective function with the goal of minimizing the total electric energy production cost represented by the power generation energy consumption and the total carbon emission cost of the power system; s4, introducing feedback control, and correcting a current scheduling strategy by using a real-time measurement value to reduce scheduling deviation; and performing rolling optimization on the target function. According to the scheme, on the premise of ensuring the safety and stability of the power system, the operation cost of the novel power system can be reduced, and the economy and safety of system operation are improved.

The invention discloses a solar health water cup. The solar health water cup comprises a cup body and an intelligent controller, wherein the intelligent controller is embedded into the outer surface of the lower part of the cup body; a solar battery panel is arranged at the upper part of the intelligent controller; a display screen is arranged under the solar battery panel; control press keys are arranged under the display screen; a horn is arranged at the lower part of the intelligent controller; the lower part of the side surface of the intelligent controller is provided with a USB (universal serial bus) interface; an electronic control module and a rechargeable lithium battery are arranged in the intelligent controller; the current converted by the solar battery panel is stored into the rechargeable lithium battery via the electronic control module. The solar health water cup has the advantages that the structure is simple, the environment-friendly and low-carbon power supply function of the solar battery panel is realized, the control press keys are manually controlled to set the water drinking amount, the operation is simple and easy, and the understanding of operation methods is easy for users.

The invention discloses a low-carbon power supply investment decision-making method of a power capacity market under a new energy access condition. The low-carbon power supply investment decision-making method comprises the following steps of 1) building a mathematical model of the capacity market by taking low-carbon power supply installed capacity subsidy as an incentive method of the capacity market; 2) building a mathematical model of an electric energy market; 3) building a mathematical model of simulating a balance market; 4) building a comprehensive profit model of a power generation set according to the mathematical model of the capacity market, the mathematical model of the electric energy market and the mathematical model of the balance market; and 5) calculating annual comprehensive profit of the power generation set according to the comprehensive profit model of the power generation set, building a low-carbon power supply investment model of the power generation set according to the annual comprehensive profit of the power generation set, and estimating an investment state of the power generation set according to the low-carbon power supply investment model of the power generation set. By the method, the simulation of the capacity market is introduced to make a decision of low-carbon power supply investment of the power capacity market.

The invention discloses an overload adjusting method for a power transmission network. The method comprises that a shortest electrical distance between any two nodes in the power transmission network is obtained an a shortest path manner, and a shortest path set is formed; a line A0B0 is determined to be overloaded, and according to the shortest path set, a nearest node A1, a second nearest node A2 to a farthest node Am of the node A0 as well as a nearest node B1, a second nearest node B2 to a farthest node Bm of the node B0 are obtained; and output adjustment is carried out on a normal thermal plant set. According to the invention, nearby adjustment is carried out via the shortest path manner, thereby rapidly reducing the overload of the line with fewer adjustment times, and minimizing the influence of line overload on the operation stability of the electrical network; and fossil fuel consumption and corresponding carbon discharge caused by generating set adjustment are considered, so that output power of the normal thermal generating set is adjusted in priority, waste of clean low-carbon power supply as water and wind power is avoided as possible, and the influence of line overload on carbon discharge of a system is minimized.

The invention relates to a low-carbon intelligent park resource-load coordination optimization method, and the method comprises the steps: initializing time t as zero, and enabling the time t to serve as the start point; initializing parameters of all time periods, and inputting state data; calculating the total carbon emission of a conventional set in the time period, the carbon emission limit of this time period and the carbon excessive emission cost; calculating the power generation cost of the conventional set and the generalized cost of wind power, and obtaining resource-load coordination call cost; determining a target function and a constraint condition, and consuming large-scale wind power through adjusting the output of a thermal power generating unit. The method solves a problem of resource-load coordination optimization of a low-carbon power system with a wind farm, finds an optimal solution to an optimization model, and achieves the system safety, economic and low-carbon targets.

The invention discloses a source network load storage multivariate ubiquitous optimization scheduling method for clean energy consumption. The method comprises the following steps: S1, determining a target function of a day-ahead low-carbon power generation scheduling model; s2, setting constraint conditions of the day-ahead low-carbon power generation dispatching model; s3, converting the low-carbon power generation dispatching optimization model into a single-target optimization model; s4, establishing a quantitative model of the carbon emission external cost; s5, establishing a risk assessment model, determining the operation risk indexes of the power system, calculating the weight omega E of each index by using an entropy method, calculating the weight omega A by combining an analytic hierarchy process, obtaining the final weight omega, and solving the safety comprehensive risk value of the power system in each time period; and S6, calculating a weight coefficient in the objective function based on a linear weighting method of a zero-sum game, and substituting the weight coefficient back into the original dual-objective optimization model to obtain an optimal power generation plan. According to the scheme, the carbon emission can be greatly reduced, and the method has guiding significance for establishing a lower-energy-consumption strong smart power grid.

The invention relates to a calculus power low-carbon range hood which is different from the suction and discharge power (fan) integrated system of the common range hood; and the power of the calculus power low-carbon range hood is independent oil smoke suction power (an oil smoke suction fan) and oil smoke exhaust power (an oil smoke exhaust fan), and the oil smoke suction fan and the oil smoke exhaust fan are connected in a common flue system in series for combined working. The air suction port of the oil smoke suction fan is furthest close to an oil smoke generating point, and suctions the oil smoke thoroughly before the oil smoke is diffused; and the oil smoke exhaust fan at a flue outlet exhausts the oil smoke in a flue, and prevents the influence of outdoor air flowing and outdoor concentrated flue pressure on the exhaust of the oil smoke. The power energy consumption of the calculus power low-carbon range hood is only 24% of that of the common range hood, so that the calculus power low-carbon range hood is a genuine low-carbon range hood. In the invention, the working noise is lower than 40 decibel and is only a half of the national standard noise of the common range hood, and the international difficulty of high noise of the range hood is successfully solved. In addition, due to a non-return, windproof and fireproof system, the operation of the range hood under the high-efficiency and safe state is guaranteed.