172results about How to "Improve consumption rate" patented technology

An SOC target (SOCr) is a control target of a remaining capacity (SOC) of an accumulation device (battery) having a characteristic that the internal loss increases in a low SOC region. The SOC target is set to a first value (S0) corresponding to a remaining capacity target upon reaching a predetermined point when the remaining travel distance up to a predetermined point where the accumulation device can be charged from outside has become shorter than a predetermined distance (Dr). Thus, the hybrid vehicle can perform EV travel by power consumption of the accumulation device.On the other hand, when the remaining travel distance is not smaller than the predetermined distance Dr, the SOC target (SOCr) is set to a second value (S1) in the SOC region where the loss of the accumulation device is smaller than the first value (S0). Thus, it is possible to reduce the power consumption in the hybrid vehicle which performs such a remaining capacity management that the remaining capacity of the accumulation device upon arrival at a predetermined point is a predetermined value.

Succinic acid is produced by allowing a bacterium modified to enhance fumarate reductase activity or cell preparation thereof to react with an organic raw material in a reaction solution containing one of a carbonate ion, a bicarbonate ion, and carbon dioxide gas to generate succinic acid. More preferably, succinic acid is produced by allowing a bacterium modified to enhance activities of fumarate reductase and pyruvate carboxylase and decrease lactate dehydrogenase activity or cell preparation thereof to react with an organic raw material in a reaction solution containing one of a carbonate ion, a bicarbonate ion, and carbon dioxide gas to generate succinic acid. Succinic acid is obtained by collecting the produced succinic acid.

The invention discloses a distribution network expansion planning method considering the optimized operation of a regional integrated energy system. Firstly, a regional integrated energy system modelis established and the internal energy flow relationship is analyzed. Secondly, based on the multi-agent system, a three-layer interactive structure including the main layer, the regional layer and the device layer is built to realize the interaction of different entities on the spatial scale. Then, a bi-level optimization model is established for the distribution network with residential, commercial and industrial regional integrated energy systems. The upper level is used for the expansion planning of distribution network, and the lower level is used for the optimization operation of regional integrated energy systems. Genetic membrane algorithm and sequential quadratic programming are used to solve the upper and lower level models nested nested. Finally, the simulation example shows that the distribution network planning considering the optimal operation of regional integrated energy system can reduce the total cost of planning, improve energy efficiency and new energy consumption rate.

Provided is an engine exhaust energy recovery device wherein it is possible to reduce the fuel consumption rate of an engine to a predetermined level or lower in relation to the various engine loads and the number of revolutions of the engine, and to effectively use the exhaust gas which is emitted from the engine. The engine exhaust energy recovery device is provided with: a hybrid supercharger (3) which has a turbine section (3a) to which the exhaust gas emitted from an engine (2) is supplied, a compressor section (3b) which compresses and transfers a scavenging pressure to the engine (2), and a power generator / electric motor section (3d) which generates power when the turbine (3a) is driven; a bypass path (L2) which bypasses the exhaust gas that is supplied to the hybrid supercharger (3); and a control device which has a database for calculating the scavenging pressure, in which the fuel consumption rate of the engine (2) is at a predetermined level or lower, on the basis of the detection values obtained from the detection means including an engine load detection means, an engine revolution number detection means, and a scavenging pressure detection means. The control device controls an exhaust gas bypass control valve (V1) in order to control the scavenging pressure of the engine (2).

A storage unit stores therein registered data about image forming devices connected to each other via a network. An acquisition unit refers to the registered data to acquire the number of the image forming devices. A consumption ratio monitor unit monitors a consumption ratio of consumables in at least one of the image forming devices. A prediction unit predicts a predicted time for replenishment or replacement of consumables for each image forming device monitored by the consumption rate monitor, based on the consumption ratio of consumables thereof, and corrects the predicted time based on comparison between a number that the acquisition unit has acquired and another number that the acquisition unit previously acquired. A requisition unit issues a request for replenishment or replacement of consumables at the predicted time.

The invention discloses a source-load-storage coordinated scheduling method for improving new energy consumption. The method comprises the steps of S1, aggregating a thermal power plant, a new energypower plant, user loads and energy storage equipment into a source-load-storage scheduling system, and obtaining a new energy output curve, a heat utilization load curve and a power utilization load curve of the system; S2, establishing a source-load-storage coordinated scheduling model with the objective of maximizing new energy consumption quantity and minimizing the system operation cost; and S3, solving the source-load-storage coordinated scheduling model through utilization of improved multi-objective particle swarm optimization, and carrying out computing to obtain the source-load-storage coordinated scheduling method. The method has the advantages of simple realization method and flexible application. Schedulable resources such as power equipment, the user loads and the energy storage equipment in the system can be utilized rationally. The new energy consumption is facilitated, and moreover, operation cost of the system is reduced.

The invention discloses a distributed photovoltaic two-stage multi-target local consumption method based on an energy storage scheduling mode, and the method comprises the steps: taking an energy storage scheduling strategy as a main control variable, cooperating with unit output, taking the maximization of distributed photovoltaic consumption rate as the priority target, taking the minimization of system operation cost as the secondary target, and taking the necessary constraints into consideration for modeling, such as energy storage operation constraint conditions and so on; solving an optimization problem formed by a priority target function and constraint conditions: taking an optimal solution as the solved distributed photovoltaic local consumption scheme if there is only one optimal solution, or else, taking all local consumption schemes as an optimizing range during the optimal solutions if there are many optimal solutions, building an optimization model which consists of the secondary target function and the constraint conditions, and solving and obtaining a needed photovoltaic cluster local consumption scheme. The method can give better consideration to a target that the system operation cost is the minimum while optimizing the photovoltaic consumption rate.

The invention discloses a demand side response-based microgrid optimal unit and time-of-use electricity price optimization method, which comprises the following steps: (1) acquiring supply and demandhistorical data of a microgrid, including internal load data of the microgrid, a supply situation of distributed regenerable energy and basic information of all types of energy supply units; (2) analyzing outputs of all energy supply systems by using the historical data so as to analyze a supply and demand situation in the microgrid; (3) setting an optimized target function subjected to distributed optimization; (4) performing optimized solving by using a particle swarm search algorithm and an interior point method. According to the demand side response-based microgrid optimal unit and time-of-use electricity price optimization method disclosed by the invention, the supply situation of the regenerable energy of the microgrid and a demand side response under the excitation of time-of-use electricity price are organically combined, and an optimal unit combination of the microgrid and a time-of-use electricity price strategy are subjected to the distributed optimization through the particle swarm search algorithm and the interior point method, so that the problems of extremely high operation cost of the microgrid and too large lack of internal loads are effectively relieved, and the electricity use demand of a user can be well met.

A learning section (110) learns driver's driving characteristics based on an accelerator opening degree signal (ACC) when a curve determination signal (CV) from a navigation device is active and outputs the result of learning to a storage section (120) with the result of learning matched with a user ID (UID) from the navigation device. A threshold change section (130) reads from the storage section (120) a leaning value corresponding to the user ID (UID) and changes, based on the learning value, a switchover threshold used by a travel control section (140). The travel control section (140) switches between travel modes (EV mode, HV mode) based on the result of comparison between traveling power and the switchover threshold.

A hybrid construction machine includes an engine (11), a hydraulic pump (14) driven by the engine (11), an electric motor (12) for assisting drive of the engine (11), and an electricity generator (12) driven by the engine (11) to generate electricity. The speed of the engine (11) is changed according to the magnitude of a load to the engine (11). When the load demanded by the engine (11) is reduced, electricity is generated by the electricity generator (12) to reduce the rotational speed of the engine (11). When the load demanded by the engine (11) is increased, the electric motor (12) is driven to accelerate the engine (11) by assisting the engine (11).

The invention discloses a multi-region electricity-gas coupling comprehensive energy system optimal scheduling method considering tiered gas prices. The method comprises the following steps: S1, a typical combined cooling heating and power supply system are adopted in an energy supply mode of a comprehensive energy system in a region, power-to-gas equipment and gas storage equipment are arranged to consume new energy to achieve energy standby application, and a gas bus is added for constraint modeling; S2, energy connection is achieved through coupling interconnection of electric energy and natural gas between regions, the natural gas serves as main complementary energy, and an electricity-gas steady-state coupling linear power flow algorithm is completed in combination with a second-ordercone relaxation and incremental linearization method; S3, based on the electricity-gas steady-state coupling linear power flow, a double-layer linearization algorithm is adopted to solve the nonlinear problem of a compressor gas consumption model; and S4, a traditional day-ahead economic dispatching target function is optimized and perfected, the tiered gas price is considered to achieve optimaldispatching by taking the minimum total operation cost of all parks as a target through energy interconnection distribution among different functional areas, namely a residential area, a commercial area, an office area, an industrial area and the like.

Provided is a high-strength, high-Young's modulus steel plate having a 780MPa or greater TS, a 205GPa or greater Young's modulus in the rolling direction and in a direction 45 DEG relative to the rolling direction, a 220GPa or greater Young's modulus in the direction orthogonal to the rolling direction, a 1.05 or greater average r value, and a 2.03 or greater limit draw ratio (LDR). This high-strength, high-Young's modulus steel plate contains, in mass%, C:0.060-0.150%, Si:0.50-2.20% and Mn:1.00-3.00%, further contains one or two of Ti:0.001-0.200% and Nb: 0.001-0.200%, has a content of solid solution C (C*) that is calculated with a prescribed expression on the basis of the C, N, S, Ti and Nb content and satisfies expression (1) below, and has a microstructure having a ferrite area ratio of 20% or greater, a martensite area ratio of 5% or greater, a ferrite average crystal grain diameter of 20.0[mu]m or less, and an inverse intensity ratio of [gamma]-fibers to [alpha]-fibers of 1.00 or greater in each of the ferrite and martensite. 500 <= C* <= 1300 ... (1) Here, the unit of C* is mass [ppm].

The invention discloses a stochastic production simulation method based on a pumped storage power station correction time sequence load curve. According to the method, according to historical data, anevaluation index for the new energy output is constructed, and an appropriate output scene is selected; a medium and long term optimization scheduling model of a pumped storage power station is constructed by taking the lowest volatility of an unbalanced power curve as a target; and by adopting a time sequence load curve correction method, the stochastic volatility of new energy power generationand the output time sequence characteristic of the pumped storage power station are reasonably considered, and the significant defect that in a traditional stochastic production simulation method, consideration on the new energy and the output time sequence characteristic of the pumped storage power station is insufficient is effectively solved. The practical stochastic production simulation method improved on the basis of the time sequence load correction method is particularly suitable for medium and long term reliability analysis and economy evaluation of an electric power system containinga high-proportion renewable energy source power station and the pumped storage power station.

Provided are a genetically engineered bacterial cell and a method of producing succinic acid by using the cell.

A method of allocating servers for range requests includes receiving a range request for items in a database that is distributed across storage devices that are accessible through corresponding servers in a network that includes the storage devices and the servers; and initializing a server-allocation value for the range request, where the server-allocation value specifies a number of servers to allocate for executing the range request. The method further includes executing the range request by allocating the servers and using the allocated servers to provide values from the range request to a client that accesses the network; and updating the server-allocation value while executing the range request to improve a consumption rate for the client by comparing changes in the consumption rate with changes in the number of allocated servers.

The invention discloses a wind power consumption optimization method considering multi-level market linkage, which is characterized by comprising the following steps of: firstly, before the market opening of a spot market, executing wind power fair load, i.e., non-fluctuation basic level section clearing to correct a daily load curve, and taking a clearing result before the market opening as a data information source of the market ahead of day; Then, in the day-ahead market, the market organization members give the wind-fire clearing electric quantity and the electricity price of the current stage according to the cooperative game theory and the corrected daily load curve, and the clearing result of the day-ahead market serves as the data information reference of the day-ahead market; Andfinally, entering the intraday market, and executing the wind-fire clearing electric quantity and the electricity price at the stage through listing transaction. And market clearing results of all stages are summarized, and the clearing results are fed back to members of all stages of the market. The problem that wind power consumption is insufficient is solved, establishment and perfection of clean energy in the spot market are facilitated, and therefore the consumption rate of wind power in a short time is increased, the power purchase cost is reduced, and social welfare is increased.

The invention relates to a power grid optimization technology, in particular to a risk-considering power grid optimization planning method, which comprises the following steps of: respectively carrying out probability modeling on wind power, photovoltaic output and load to describe the random volatility of the wind power, the photovoltaic output and the load, and proposing charging and dischargingstrategies of energy storage; secondly, taking load reduction minimization as a target, and performing power flow calculation on the power system according to a probability optimal power flow methodbased on Latin hypercube sampling; and finally, analyzing the whole life cycle cost of the planning project, further constructing a power grid two-layer planning model based on an improved whale optimization algorithm, quantifying the risk into risk loss cost, and counting the risk loss cost into a target function. Risk-considering power grid optimization planning is carried out, so that the adaptability of a grid frame planning scheme under a new situation is improved, and the safety risk brought to system operation by uncertain factors is reduced from the source.

A dry ice vaporizing device includes: a container having a vapor permeable surface and a closeable entrance configured to be locked closed, an external implement configured to unlock the closeable entrance, and dry ice located inside the container. The vapor permeable surface includes a plurality of holes each having a hole dimension less than approximately 4 mm. The container is configured, when the closeable entrance is locked closed, to prevent the passage of dry ice pieces having dimensions larger than the hole dimension.

Provided is a power transmission mechanism for a parallel hybrid vehicle, which can be applied to a large-size hybrid vehicle. To this end, the power transmission mechanism can smoothly combine and separate input and output powers of a motor and an engine and provide an input and output power combining and separating mechanism with a sufficient strength. The power transmission mechanism comprises a motor output shaft of a motor / generator which is rotatable independently of an engine drive shaft system connecting to a transmission through a main clutch; a motor brake which is provided at one end side of the motor output shaft and which releases / fixes the motor output shaft; a planetary gear mechanism provided between the other end side of the motor output shaft and the engine drive shaft system and comprised of a sun gear provided on the other end side of the motor output shaft, an outer gear provided in the engine drive shaft system and having a gear ratio of 1:1 to the sun gear, a plurality of planetary gears with which the sun gear and the outer gear engage, and a planetary carrier which receives and transmits the revolutions of the planetary gears; and a gear brake which is provided on one end side of the planetary carrier and which releases / fixes the planetary carrier.

The invention discloses a rapid aging method for a catalytic gasoline particle catcher. The method comprises a step of rapidly aging the catalytic gasoline particle catcher according to a selected rapid aging condition on an engine rig, wherein the rapid aging condition is formed by three steady-state conditions, a step of performing carbon removal and weighing under a carbon removal condition todetermine soot and ash load after 1 to 6 aging cycles, a step of continuing to perform aging if the ash load Mi is smaller than a target ash load Mt, otherwise, stopping a test if Mi is larger than orequal to Mt, and a step of periodically performing performance test on the catalytic gasoline particle catcher in the whole test. The method of the invention has the advantages of easy operation andhigh practicability, the investigation of the loading of ash of the catalytic gasoline particle catcher, the accumulation and regeneration of soot and the durability of the catalyst can be quickly andaccurately realized, the aging and ash accumulation of the catalyst in a real vehicle aging are simulated, and the time of catalyst aging performance evaluation is shortened.

Disclosed is a hybrid drive device that eliminates an electric oil pump and further improves fuel consumption. Via a cam mechanism (28), a cone-ring CVT (3) provides axial force that clamps a ring (25) between a pair of friction wheels (22, 23). The ring (25) is moved in the axial direction by a gearshift operation means, which is provided with an electric actuator (A2). A clutch (4) is operated by an operation means (51), which is provided with an electric actuator (A1). The cone-ring CVT (3) is lubricated by the rotation of the ring (25), which is immersed in an oil pan. In a gear transmission device (7), the oil of the oil pan is scooped by a ring gear (41).

The invention provides comprehensive energy source router equipment and an energy source conversion method. The equipment comprises a mini-type gas turbine engine, a residual heat power generation device, a power storage device, a heat storage device and the like, wherein the residual heat power generation device is used for absorbing residual heat in high-temperature flue gas obtained by combustion of the mini-type gas turbine engine and carrying out an organic Rankine cycle; and the energy source conversion method comprises a mode of fixing power based on heat, a mode of fixing heat based onpower and an automatic power and heat adjusting mode. Therefore, the invention provides the comprehensive energy source router equipment which contains solar power generation, wind power generation,energy storage and organic Rankine cycle systems and a traditional combined cold, heat and power supply system; energy sources can be mutually interconnected and transformed through a comprehensive energy source coupling model, so that electric energy and heat energy can be very flexibly distributed; three optimization targets of economic cost, energy source consumption and pollution emission areestablished; and compared with a traditional energy source network, the equipment provided by the invention can be used for greatly increasing the comprehensive utilization efficiency of energy sources and reducing the emission of pollutants, so that the economic benefits are improved.

Provided is an mounting structure of a fuel injection valve and a fuel injection system. An end portion, on the combustion chamber side, of a fuel injection valve is projected from a position of a wall surface forming an intake port, whose position is superposed on an imaginary plane that passes a wall surface from which an intake valve projects and is normal to the center axis of a cylinder, or is projected from the imaginary plane to the combustion chamber side. Alternatively, the center of an end portion, on the fuel injection side, of a fuel injection valve for injecting fuel to intake air flowing in a branch port branched from an intake port is placed closer to the center axis side, in the radial direction of the cylinder, of a cylinder than to the center axis of an intake valve. Alternatively, an upstream side fuel injection valve injects fuel to intake air flowing at an intake port, and a down stream side fuel injection valve injects fuel to intake air flowing at a branch port branched from an intake port. Alternatively, the amount of injection of fuel is controlled for each fuel injection valve for injecting fuel to intake air flowing at a branch port branched from an intake port.

The invention discloses a double-layer optimization method for an alternating current and direct current hybrid microgrid based on demand side response. The method comprises the following steps: basedon the stimulated demand side response, through the adjustment of shiftable load, enabling a load curve to get close to a renewable energy source contributed change curve, using the maximum of renewable energy source consumption rate as a target to establish an upper target function of the alternating current and direct current hybrid microgrid; taking the demand side response based on price intoaccount and also taking the demand side response based on stimulation into account, establishing a lower target function taking minimum operating cost of the alternating current and direct current hybrid microgrid as a target; complying with operation constraints, and establishing a double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid; improvinga culture genetic algorithm, and solving the double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid. According to the method, the maximum of renewable energy source consumption rate is taken as the upper target function, the minimum operating cost of the alternating current and direct current hybrid microgrid is taken as the lower target function,the double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid can realize efficient utilization of renewable energy sources, and the method is beneficial for economic operation of the alternating current and direct current hybrid microgrid.

The invention discloses a method for flexibly controlling an engine combustion mode. Engine speed signals and throttle position signals are read by an electronic control unit to judge the engine operation load according to the read signals; if under the low load condition, an diesel injector is controlled for early injection to form PCCI combustion mode in a cylinder; if under the moderate load condition, the diesel injector is controlled for injection in advance twice, and high-pressure EGR is performed to form HP-EHPCC combustion mode; if under the medium-to-high load condition, the diesel injector is controlled for injection in advance twice, and low-pressure EGR is performed to form LP-EHPCC combustion mode; if under the high load condition, the diesel injector is controlled for delayed injection once, and the low-pressure EGR is performed to form LP-LHPCC combustion mode. High-efficiency clean combustion within a wide load range is implemented through combination of different combustion modes under different working conditions.

Succinic acid is produced by allowing a bacterium modified to enhance fumarate reductase activity or cell preparation thereof to react with an organic raw material in a reaction solution containing one of a carbonate ion, a bicarbonate ion, and carbon dioxide gas to generate succinic acid. More preferably, succinic acid is produced by allowing a bacterium modified to enhance activities of fumarate reductase and pyruvate carboxylase and decrease lactate dehydrogenase activity or cell preparation thereof to react with an organic raw material in a reaction solution containing one of a carbonate ion, a bicarbonate ion, and carbon dioxide gas to generate succinic acid. Succinic acid is obtained by collecting the produced succinic acid.

The invention discloses a multi-time-scale rolling scheduling method and system for dynamic economic scheduling, and the scheduling method comprises the following steps: constructing a new energy power generation aggregation party with complementary power generation characteristics based on a power generation composition structure of a power system; establishing a load matching coefficient, and carrying out smooth optimization on a load curve; making a day-ahead plan for the output of the power generator according to an optimized load maximum matching principle, and solving the real-time output of the new energy aggregator under the condition that the load matching coefficient is minimum; performing output adjustment on the power generation end according to the intra-day scheduling model;and performing output fine adjustment on the power generation end according to the real-time scheduling model. According to the multi-time-scale rolling scheduling method, the method comprises the steps of: performing aggregation scheduling on new energy with complementary characteristics; and considering the power supply and demand matching degree, optimizing the load, and stabilizing the outputfluctuation of the conventional energy unit. The new energy consumption rate is effectively increased, the phenomena of wind curtailment and light curtailment are reduced, and meanwhile, the scheduling burden and the regulation cost of a power grid on a conventional energy unit are reduced.