71 results about "Environmental impact of wind power" patented technology

A habitat friendly, pressure conversion, wind energy extraction system is disclosed for safely extracting usable energy from wind. The system includes one or more shrouds or concentrator wings that convert the dynamic pressure of wind into relatively lower static pressure and thereby induces a vacuum that draws wind into a turbine centralized within the shrouds or concentrator wings. As such, the turbine impellor blades may be significantly smaller than the large diameter rotor blades of current popular designs and may be enclosed within the shrouds or concentrator wings that present themselves as highly visible objects and as such are easily avoided by birds in flight. The novel system in particular includes a device and method of airflow regulation than minimizes or prevents the stalling, or the generation of a turbulent flow of wind over or between the shrouds or concentrator wings. This stalling has been shown to occur when airflow is quickly accelerated by force of vacuum and drawn out of the turbine shroud which then mixes with and disturbs the otherwise smooth flow of wind over or between the shrouds or concentrator wings. The system may also include an aerobrake that responds quickly to protect the impellor blades or associated mechanisms from overspeeding or exceeding other design limitations under gusting or violent wind conditions. The system may also include a method of guiding elements of the system to orient appropriately into prevailing winds, and a method to support elements of the system, without unduly impeding the free flow of wind. Other advantages and objects are as well disclosed that increase safety and efficiency, increase installation potential, reduce costs and expenses, and minimize negative environmental impact.

A process for combusting solid liquid or gaseous fuels in a high temperature refractory-lined reactor with the aim of generating electric power comprises mixing at least one fuel with steam. The refactory material of the reactor and the opaque gases of the reaction environment bring about high power infrared radiation which substantially instantaneously preheats the reactants on input including said reactants being intrinsically transparent to infrared radiation (N₂/O₂) but rendered opaque and thus absorbers of energy from infrared radiation thanks to dilution with steam. A high efficiency combustor is provided for carrying out the above-stated process.

Disclosed are a power management system and associated method that not only initiate a “greenout” to avoid the negative impact of high loads (i.e., to avoid high power cost, negative environmental impact, brownouts, and ultimately blackouts), but can also predict the initiation of such a “greenout”. Predicting the initiation of a “greenout” and communicating the prediction to one or more of the various electronic devices connected to the power grid allows the electronic device(s) to take preparatory action to avoid and/or limit any negative impact that may be caused by the “greenout”.

The invention discloses a low carbon discharge constraint influence considered traffic mode and path selection method. A low carbon discharge constraint condition is added in a traditional traffic mode and traffic distribution combination model and model solving is carried out through utilizing a genetic algorithm based on real number coding in order to obtain bus and private car trip demands satisfying low carbon constraint conditions, and the traffics of all roads in the road net. The model analysis result is compared with a traditional low carbon discharge constraint unconsidered model analysis result to analyze an improved bus trip mode sharing rate required by the reaching of low carbon and emission reduction purposes and an adjusted road traffic required by the reaching of a CO environment standard, establish the low carbon discharge constraint influence considered traffic mode and path selection method suitable for Chinese traffic environment protection, so a disadvantage that a present traffic program technology does not considers the influences of the traffic carbon discharge to the environment is overcome, thereby the traffic low carbon sustainable development is promoted.

The invention discloses a wind turbine generator gearbox fault monitoring method and system based on a deep neural network. The method comprises the following steps: A. acquiring gearbox state-related data in wind turbine generator SCADA real-time data, including gearbox lubricating oil pressure, gearbox lubricating oil temperature, gearbox bearing temperature and unit output power; B, inputting the gearbox lubricating oil temperature, the gearbox bearing temperature and the unit output power into a prediction model based on the deep neural network, and acquiring a prediction value of the gearbox lubricating oil pressure outputted by the prediction model; C, calculating a fitting error between an actual value of the gearbox lubricating oil pressure and a predicted value of the gearbox lubricating oil pressure; and D, monitoring the fitting error so as to determine a gearbox state of a wind turbine generator, and triggering the alarm when the gearbox state of the wind turbine generator is determined as a fault state. By adopting the gearbox fault monitoring method and system, a gearbox fault can be effectively monitored in real time, a monitoring result is less influenced by an external environment, and the accuracy is high.

The invention provides an energy management method and an energy management device of a wind-light-biogas micro energy grid, which relate to the technical field of energy management. The energy management method comprises the steps of: establishing a multi-energy-flow steady-state model of the wind-light-biogas micro energy grid, performing coupled correlation analysis based on acquired historicaldata of environmental influencing factors, electrical load, thermal load and gas load as well as a preset prediction model, and acquiring predicted values of output of a draught fan as well as output, electrical load, thermal load and gas load of a solar combined heat and power generation system in a prediction domain from a current moment; solving an objective function through rolling optimization so that a value of the objective function is minimum, outputting a control strategy, then executing the control strategy and feeding back acquired wind and light output and load actual values in the prediction domain from the current moment to the prediction model, and correcting wind and light output and load predicted values at a next moment so as to optimize the prediction model; and repeating the above process at the next moment until the control strategy ends. The energy management method and the energy management device realize the economical and efficient multi-energy-flow compositesupply, improve the consumption of volatile new energy resources, and have great practical value.

The invention discloses a multi-objective optimization method of reverse osmosis deboronization seawater desalination system considering environmental influence, based on the precise model of desalination mechanism and the superstructure model of reverse osmosis system, considering the changes of pressure, concentration and flow of brine along the axial direction of pressure vessel, and the increase of salinity caused by the mixing of brine in power exchanger, the constraint of operation conditions is added to ensure the safe operation of the system, and the multi-objective optimization problem with the cost of water production, energy consumption and environmental impact (carbon dioxide emission) as the objective function is obtained. Constraint algorithm is used to solve the problem, andthe optimal solution of different objective function weights is obtained by fuzzy sorting method. A system optimization scheme obtain by the invention can effectively reduce the cost of seawater desalination, the energy consumption and the emission of greenhouse gas carbon dioxide, so that the water produce by the system meets the standard of boron content in drinking water, has important significance for energy conservation and emission reduction, and has a very good application prospect.

The invention belongs to the technical field of power grid safety, and especially relates to a power grid forest fire and icing disaster safety evaluation method based on a fuzzy comprehensive evaluation approach. The method comprises the following steps: dividing disaster-inducing factor evaluation indexes of disaster into three categories, namely, meteorological influence indexes, environmental influence indexes and circuit parameter indexes, and collecting and preprocessing (including unification and index non-dimensionalization) the historical data of each index when a forest fire or icing disaster occurs; comparing every two indexes based on an analytic hierarchy process to get a decision matrix, and getting the weight of each index through calculation; respectively building forest fire and icing disaster factor sets, judgment sets and membership functions; and evaluating the power grid disaster safety based on a fuzzy comprehensive evaluation approach. The safety of power grid operation is guaranteed effectively. Full consideration is given to the cause of the influence of power grid fire and ice disaster conditions on the safe operation of the power grid, and the power grid line conditions are considered comprehensively. Risks to the safe operation of the power grid can be easily identified. Catastrophic accidents in a power grid system are prevented.

The invention discloses a photovoltaic power generation system environment self-adaptive type MPPT (maximum power point tracking) method. A voltage correcting parameter delta U and PI are introduced to control a link, a duty ratio D of a direct-current chopper is regulated in real time, maximum power point voltage Um optimal-searching speed is increased, the power loss is reduced, and the maximum power point voltage Um is changed in real time along with the environmental conditions, the incremental conductance method (I&S) optimal-searching step length is reduced, and the photovoltaic battery MPPT is quickly and accurately realized, the defects that a conventional MPPT algorithm is easy to affect by the environment, the robustness is poor and the power loss is relatively large are improved, and the defects that the intelligent type MPPT algorithm is complex and easy to be locally optimal are also avoided.

Processes and systems are provided to compress vapors produced in distillation and recover the heat of condensation through vapor compression and to derive mechanical, thermal, and electrical energy from a combined heat and power system, while maintaining the plant's original ability to operate. The plant's existing distillation system, steam generation, and electrical demand determine the design basis for the retrofit system that is targeted at an optimized combination of energy usage, energy cost, and environmental impact. Vapor compression (by mechanical vapor recompression and/or thermal vapor recompression) minimizes the total energy usage. Optionally, combined heat and power provides a means of converting energy between fuel, electricity, and thermal energy in a manner that best complements plant requirements and energy economics and minimizes inefficiencies and energy losses.

The invention discloses a train automatic driving prediction control method taking full road section environment and human factors into consideration, and belongs to the technical field of urban railtransit control. The method comprises the following steps that firstly, a dynamic model of a train is established, and the traction, the braking force, the basic resistance and the additional resistance of the train are considered; then, the dynamic model of the train serves as a prediction model, an optimal control objective function of the train is established, and constraint conditions for solving the objective function are determined; the environmental factors and the human factors in the train running road section are introduced and are used for updating the dynamic model and the controlconstraint conditions of the train; and train running information is obtained, and the real-time road section information is combined, so that the optimal control objective function is solved, and thetraction control expected value in the prediction period is obtained. According to the method, by means of the advantage of a model predictive control algorithm on solving the control problem of theconstraint system, the environmental influence and human influence in the actual running process of the train are considered, and the comfortable and efficient automatic driving control of the train is realized.

The invention discloses a method for analyzing energy conservation and emission reduction of new energy vehicles. The method comprises the following steps of: 1, establishing a life cycle assessment model; 2, obtaining data; and 3, obtaining a model result and carrying out analysis. According to the method for analyzing energy conservation and emission reduction of new energy vehicles, relativelycomplete life cycle assessment analysis is carried out on traditional gasoline cars and four types of new energy cars on the basis of integrating domestic abundant product life cycle evaluation and research. Integrated environment influence impact potentials of full life cycles of the new energy cars are lower than those of the traditional gasoline cars, so that the new energy cars have advantagesin the aspect of environmental benefit; and the environment influence of hydrogen cell cars is the minimum. According to the method, the environment influences of the cars are compared with the environment influences of human activities, so that the influence degrees of the cars are intuitionally reflected.

The present invention discloses an improved MPPT algorithm with reduced influence of partial shading on a photovoltaic system. First step: a true maximum power point domain is determined, and the operating voltage of the system is shifted thereto with guaranteed celerity of tracking; given that the intersection point of the equivalent resistance line Rpm = Vpm/Ipm and the V-I characteristic curve for photovoltaic arrays under uniform light is the maximum power point, and the operating voltage at the end of the first step is determined by using the intersection point of this line and the V-I characteristic curve for photovoltaic arrays under partial shading; to prevent false tracking caused by the local minimum point and the pseudo maximum power point to the algorithm, the extreme points tracked during scanning are required to be recorded in the first step; and second step: maximum power point tracking is carried out from the operating voltage determined in the first step by using the incremental conductance algorithm. The improved MPPT algorithm with reduced influence of partial shading on a photovoltaic system may be less affected by the environment with high accuracy, less false tracking and good operating effect.

There is much concern about global warming of the Earth caused by increasing concentrations of greenhouse gases produced by human activities such as the burning of fossil fuels and deforestation. There is also concern water and air pollution that are a byproduct of human activities. The invention comprises a method and system that quantifies and provides feedback regarding an environmental impact of all planned or completed activities associated with an entire trip including the impact of transportation, hotel, restaurants, and recreational activities. It further allows the traveler to offset the negative environmental impact by paying a corresponding amount of money to an organization associated with improving the environment.

The invention relates to a near-far zone coupling numerical simulation method suitable for thermal drainage and deepwater discharge in a nuclear power plant. The near-far zone coupling numerical simulation method comprises the following steps: establishing a far zone model; starting the far zone model; calculating the far zone model; invoking and judging a near zone model; performing model conversion; generating a near zone jet on-way flow rate and a concentration source term; finishing the judgment of the far zone model. The near-far zone coupling numerical simulation method provided by the invention has the benefits that the near zone floating jet dilution process is stimulated by adopting a near zone jet integral model, a source term calculation formula for converting a near zone model calculation result into an input far zone model through a decentralized convergence method is provided, and a method of dynamic coupling of the near-far zone mathematical models is provided. The degree of dilution in the hot water rising process and at the final rising height as well as the source term can be more reasonably reflected through the provided near-far zone coupling model method; meanwhile, the water flow quality conservation can be ensured, the simulation precision within a surface high-temperature rise affecting range is obviously improved, and a useful scientific basis is provided for accurate evaluation on the environmental impact of thermal drainage and discharge in the nuclear power plant.

The invention discloses a direct expansion type solar heat pump air conditioning system. The direct expansion type solar heat pump air conditioning system is mainly composed of a set of direct expansion type solar heat pump system, a set of air source heat pump system and a heat storage device and particularly comprises an outdoor condenser, a liquid storage pot, a filter, a capillary restriction choke, an indoor air-cooled heat exchanger, a water-cooled heat exchanger, six valves, a compressor, a four-way makeshift valve, a solar thermal collector and a phase-change heat storage device. The solar heat pump air conditioning system with the phase-change heat storage device is connected with the outdoor condenser in parallel, hot water and hot air can be provided in winter, and normal air conditioning refrigeration can be achieved in summer. The heat storage device and a compressor protecting device are integrated, redundant solar energy can be stored to be used at night or in rainy days, inlet temperature of the compressor can be kept at a certain value by overcoming environment influence, thermal performance is improved, service life of the compressor is prolonged, the structure is simple, energy is saved, and the environment is protected.

Processes and systems are provided to compress vapors produced in distillation and recover the heat of condensation through mechanical vapor compression and to derive mechanical and electrical energy from a combined heat and power system, while maintaining the plant's original ability to operate. The plant's existing distillation system, steam generation, and electrical demand determine the design basis for the retrofit system that is targeted at an optimized combination of energy usage, energy cost, and environmental impact. Mechanical vapor compression minimizes the total energy usage. Combined heat and power provides a means of converting energy between fuel, electricity, and thermal energy in a manner that best complements plant requirements and energy economics and minimizes inefficiencies and energy losses.

The invention discloses a fluid kinetic energy generator device based on a dielectric EAP, comprising a shell, a fluid kinetic energy converting mechanism, a deformation mechanism for a power transforming unit and a power transforming unit array, wherein the fluid kinetic energy converting mechanism, the deformation mechanism for the power transforming unit and the power transforming unit array are sequentially connected in series and arranged in the shell. The invention has the advantages of low cost, no frequency requirement, wide range of application, high efficiency, simple structure, light weight and little environmental influence.