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16 results about "Renewable energy" patented technology

Renewable energy is energy that is collected from renewable resources, which are naturally replenished on a human timescale, such as sunlight, wind, rain, tides, waves, and geothermal heat. Renewable energy often provides energy in four important areas: electricity generation, air and water heating/cooling, transportation, and rural (off-grid) energy services.

Coke making method by adding biomass energy to mixed coal

InactiveCN101643656ACoke ovensEnergy inputBiomassRenewable energy
The invention relates to a coke making method by adding biomass energy to mixed coal, which is a technical proposal by mixing biomass fuel and mixed coal for making coke in a certain proportion. The method aims to replace coal for making coke with renewable energy sources, expand the resources of coal for making coke, reduce the independence on high-quality coal in the coke-making process and realize the optimal coke-making coal blending technology by using renewable energy sources instead of fossil energy sources. Compared with the prior traditional coal blending technique, the method has the advantages of simple technique and low equipment cost, and does not require repetitive constructions and remodifications on technical equipment; therefore, the method can greatly reduce the coke-making cost, save large quantities of high-quality coal resources, propel the utilization of renewable energy sources to realize energy saving and emission reduction, and reduce the secondary pollution of the biomass energy sources to the environment. The realization of the project has obvious economic and social benefits.
Owner:韩大海

Multi-target random fuzzy dynamic optimal energy flow modeling and solving method for multi-energy coupling transmission and distribution network

ActiveCN105703369ARealize comprehensive coordination and optimization of schedulingAc networks with different sources same frequencyElectric power systemEnergy coupling
The invention relates to a multi-target random fuzzy dynamic optimal energy flow modeling and solving method for a multi-energy coupling transmission and distribution network and belongs to the field of day-ahead scheduling plan research of electric power systems in an energy interconnection environment. The method comprises the following steps: basic data in a system scheduling period are obtained,; random fuzzy space-time sequence models for large-scale wind power, distributed power source and multi-energy loads are obtained via historical data mining; power and voltages of a power transmission network and all active distribution networks at joint nodes are used as share variables; multi-target SoS dynamic optimal energy flow models characterized by high economic performance, low carbon emission, renewable energy absorption, loss reduction and the like are built within static state security constraints; multi-energy source charge forecast can be realized through random fuzzy simulation; a Pareto solution set, an optimal compromise solution and an energy flow result can be obtained via adoption of an improved SoS layered optimizetion algorithm based on approximate dynamic programming and NSGA-11. The method can adapt to a development trend of energy interconnection, and comprehensive coordination optimization of day-ahead scheduling of transmission and distribution parties can be realized on the premise that requirements for static state safety and stabilization of systems can be satisfied.
Owner:马瑞

Pilot node selecting method based on wind electric power fluctuation probability characters

InactiveCN103219743ASingle network parallel feeding arrangementsWind energy generationRenewable energySystems simulation
The invention provides a pilot node selecting method based on wind electric power fluctuation probability characters. Due to the fact that large-scale renewable energy resources are merged into a control area, Fluctuations and trends of currents are changed greatly, and many challenges are brought to area voltage reactive power control. Pilot nods are as primary goals of secondary voltages, when the pilot nods are selected, access of renewable energy resources needed to be considered. According to the pilot node selecting method based on the wind electric power fluctuation probability characters, access of wind power is as an example, statistics of power injection probability distribution characters of a wind power plant in different periods is carried out, various system random working states with different probabilities are formed through superposition of the power injection probability distribution characters and load working modes of peaks, waists and valleys of a system, selected pilot nodes satisfy that after the system is subject to random disturbance, voltage deviation expectation of the rest load nodes in the whole net is made to be minimum under various random working states through control and elimination of voltage deviations of the selected pilot nodes. Feasibility and validity of the pilot node selecting method based on the wind electric power fluctuation probability characters are verified by IEEE three-machine-nine-node system simulation results and New England 39-node system simulation results.
Owner:SHANDONG UNIV

Composite air-conditioning system combining air source heat pump system and rotating wheel dehumidification system

The invention relates to a composite air-conditioning system combining an air source heat pump system and a rotating wheel dehumidification system. The composite system comprises a heat pump system and a rotating wheel dehumidification system; the dehumidifier unit consists of a dehumidification rotating wheel, a heat exchange rotating wheel, an evaporator, a heater, an air refreshing machine andan exhaust fan; and the heat pump unit consists of equipment such as a frequency conversion compressor, an outdoor heat exchanger, an indoor heat exchanger, a gas-liquid separator, a four-way change valve and the like. The composite air-conditioning system is combined with indoor radiant heating and cooling, and by means of controlling an electronic expansion valve, an electromagnetic valve, a one-way valve and a constant pressure valve, two vaporization temperature operation conditions are realized; and a dehumidification rotating wheel, a heat exchange rotating wheel, and the outdoor heat exchanger and the indoor heat exchanger of the heat pump unit are combined, the high temperature waste heat of the exhaust air of the compressor is used as the renewable energy for the dehumidificationrotating wheel, and part of cold of the heat pump is used for cooling the refreshed air, thus the performance of the dehumidifier unit is improved.
Owner:JIANGSU UNIV

System and method for producing hydrogen by directly electrolyzing urea-containing wastewater with renewable energy

The invention discloses a system and method for producing hydrogen by directly electrolyzing urea-containing wastewater with renewable energy. The system comprises a renewable energy generation module, a power conditioning module, a urea-containing wastewater pretreatment module, an alkaline urea electrolytic hydrogen production module, a gas / liquid separation, drying and purifying module, an alkaline liquor circulating pump, a hydrogen storage tank and an anode product storage module, wherein an output end of the renewable energy generation module is connected with an input end of the power conditioning module, and an output end of the power conditioning module is connected with the alkaline urea electrolytic hydrogen production module. By means of the system, nearby in-time consumption of renewable energy power is facilitated, the hydrogen production cost is r educed, the tolerance of the hydrogen production system to the volatility and intermittence of a power supply is improved, a hydrogen production technology is combined with a water treatment technology, and while the hydrogen production energy consumption is reduced, environmental pollution is avoided; the applicability of the system is wide, the stability is high, the hydrogen produced by the system is high in purity, the process is simple, and industrial production is facilitated.
Owner:闫巍

Renewable energy source system for environmental-friendly treatment of domestic garbage and technology

ActiveCN109092868ASolve the accumulationReduce pollutionWaste processingSolid waste disposalLitterPollution
The invention discloses a renewable energy source system for environmental-friendly treatment of domestic garbage and a technology. The renewable energy source system comprises a vibrating feeder, a shredder, a screening machine, a first shearer, a second shearer, a baking oven, a baking main drum airflow pipeline, a draught fan, a cyclone dust collector, a pelleting machine, a material bin and awater curtain dust collector, wherein the vibrating feeder is arranged on one side of the shredder, and a discharge opening of the vibrating feeder is arranged above a feed hopper of the shredder; thescreening machine is arranged on one side, away from the vibrating feeder, of the shredder; the shredder and the screening machine are connected through a first belt conveyor; the screening machine and the first shearer are connected through a second belt conveyor; and the first shearer and the second shearer are connected through a third belt conveyor. Through the adoption of the renewable energy source system disclosed by the invention, the domestic garbage is made into flammable renewable energy sources through technologies of shredding, screening, shearing, crushing, baking, pelleting andthe like, and waste is turned into wealth, so that the problem of massive accumulation of the domestic garbage is solved to a great extent, and environment pollution caused by the domestic garbage isreduced.
Owner:JIANGXI TINGFA RENEWABLE ENERGY CO LTD

Method, device and apparatus for stochastic production simulation of combined heat and power of integrated energy system

ActiveCN109284939AGuaranteed accuracyAchieve accurate assessmentDesign optimisation/simulationResourcesNormal densityIntegrated energy system
The invention discloses a stochastic production simulation method of combined heat and power of an integrated energy system, Installations and equipment, Considering that energy sources other than power units, such as renewable energy, can also have an impact on integrated energy systems. At first, that net power sequential load data is separated from the power sequential load data, according to the net power sequential load data and the heat load data, the initial joint probability density function of thermoelectricity is constructed, to ensure the accuracy of the initial thermoelectric jointprobability density function, by simulating the operation of the unit in the integrated energy system, according to the unit performance index, the initial combined thermoelectric probability densityfunction is modified to obtain the equivalent combined thermoelectric probability density function, Finally, the reliability index and economic index of the integrated energy system calculated by theequivalent thermoelectric joint probability density function are more consistent with the characteristics of multi-energy coordination and coexistence of the integrated energy system, and the accurate evaluation of the reliability and economic value of the integrated energy system is realized.
Owner:ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD

Quantifying combined effect of interdependent uncertain resources in electrical power grid

PendingCN110235329ADesign optimisation/simulationProbabilistic CADPower gridElectric power
Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a methodincludes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.
Owner:INT BUSINESS MASCH CORP
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