174 results about "Power usage effectiveness" patented technology

A hybrid vehicle is capable of performing regenerative operations of generator-motors disposed adjacently to front wheels and/or rear wheels of the vehicle so as to achieve efficient conversion of kinetic energy of the vehicle into electric energy as much as possible when the vehicle slows down, thereby permitting higher use efficiency of energy. When the vehicle decelerates, a target deceleration force or a target deceleration torque of the vehicle is set, and a permissible maximum value of the braking torque to be imparted to rear wheels from a second generator-motor is set, and the permissible maximum value and the target deceleration torque of the vehicle, whichever is smaller, is set as a target braking torque to be imparted from the second generator-motor to the rear wheels. Furthermore, with the remaining torque of the target deceleration torque being set as an upper limit, a target braking torque to be imparted to front wheels from a first generator-motor is determined, and a friction type braking mechanism compensates a shortfall torque of a total sum of the target braking torques of the two generator-motors to reach the target deceleration torque.

The invention relates to a novel radio network architecture, called G-RAN (green-radio access network) which realizes energy conservation and consumption reduction by re-designing the traditional network architecture in the further mobile communication network. Aiming at reducing the number of machine rooms of a base station, reducing energy consumption and improving spectrum efficiency, on the basis of the key technologies such as centralized base-band processing, virtual base station, base station coordination, dynamic network architecture and the like, and combining with resource sharing and network dynamic scheduling, the G-RAN is proposed to realize low-cost, high-bandwidth and high-flexibility operation. The radio network architecture introduces a series of new technologies and processes such as distributed base station, base station virtualization, centralized processing and the like, and promotes the improvement of energy utilization efficiency of the industry.

A method for reducing greenhouse gas emissions by promoting more efficient energy use, by establishing a measure of efficiency, defined as a ratio of a measure of energy use to a measure of production; establishing a reduction schedule that sets limits on the energy efficiency ratio, with the schedule covering a series of compliance time periods and requiring efficient energy use during those time periods; establishing a transferable credit representing an amount of energy and establishing a tradable financial instrument representing a number of energy efficiency credits; issuing a plurality of energy efficiency credits to the entities; establishing a trading system to facilitate the sale and purchase of the financial instruments; and requiring entities to comply with the reduction schedule by making operational improvements or acquiring and surrendering credits to thus increase the efficiency of energy use in turn reducing greenhouse gas emissions.

The invention discloses a film distillation seawater desalting system by utilizing economical energy. The system comprises a film component, a seawater storage tank and a freshwater storage tank; the hot side of the film component is provided with a seawater inlet and a seawater outlet; the cold side of the film component is provided with a steam outlet; the seawater inlet of the film component is connected with an outlet of the seawater storage tank by a feed pump; the seawater outlet of the film component and the steam outlet are connected to the same heat pump; a seawater outlet of the heat pump is connected with the seawater storage tank; a freshwater outlet of the heat pump is connected with an inlet of the freshwater storage tank; and an inlet of the seawater storage tank is connected with a seawater heating system. The seawater outlet and the steam outlet of the film component of the desalting system disclosed by the invention are connected to the same heat pump, thereby realizing the recovery of steam heat by seawater, improving the energy using efficiency and saving manufacturing cost without needing specialized cooling equipment to condense steam.

The invention discloses a hybrid excitation synchronous motor efficiency optimized control method. In the condition that motor output torque and rotation speed are satisfied, d shaft, q shaft and excitation winding current are controlled, thus iron consumption and copper consumption of a hybrid excitation synchronous motor are minimal, the optimized efficiency of the hybrid excitation synchronous motor is achieved, and the motor efficiency is raised. When the motor runs in a low speed area, according to the size of a load, and through the d shaft, q shaft and excitation winding current coordinated control, the sum of iron consumption and copper consumption is minimal. When the motor runs in a high speed area, by using d shaft current and excitation winding current common flux weakening, through the d shaft, q shaft and excitation winding current coordinated control, the iron consumption and copper consumption of the motor are minimal, and the optimal efficiency of a hybrid excitation synchronous motor is achieved. According to the hybrid excitation synchronous motor efficiency optimized control method, the motor loss is reduced, the efficiency of energy use is raised, and the energy saving effect is achieved.

The invention provides a method and system for predicting the temperature and humidity environment of a machine room. The method comprises the steps that as for each sampling point in the machine room, a first characteristic parameter, a second characteristic parameter and a third characteristic parameter of the sampling point are collected, the first characteristic parameter is into a temperaturepredicting model to obtain the predicted temperature sequence of the sampling point in the first prediction period, the second characteristic parameter is input into a humidity predicting model to obtain the predicted humidity sequence of the sampling point in the second prediction period, and the third characteristic parameter is input into a transient temperature predicting model to obtain thepredicted temperature sequence of the sampling point in the third prediction period; the temperature sequence of the machine room in the first prediction period and the humidity sequence of the machine room in the second prediction period are obtained according to the predicted position of each sampling point and the temperature sequence of the sampling point in the first prediction period and thehumidity sequence of the sampling point in the second prediction period; and an alarm is given when temperature greater than the preset temperature threshold exists in the temperature sequence of each sampling point in the third prediction period. By means of the method and system for predicting the temperature and humidity environment of the machine room, energy consumption of the machine room is reduced, the energy utilization efficiency is improved, and the accident occurrence rate of the machine room is reduced.

The invention discloses a non-invasive load monitoring method based on event detection. The method comprises the steps of selecting an original measurement power signal in a public REDD data set for denoising processing, carrying out event detection on the processed data by using a generalized likelihood ratio detection method, and identifying a load switch and a state change time node by detecting an active or reactive power sequence of a load; switching a detected electric device into an event, extracting a steady-state current before and after switching, carrying out fast Fourier transformto extract current the harmonic characteristics, combining the active power, establishing a load characteristic library through an affinity propagation clustering algorithm, fitting the actual electric appliance data characteristics and a load characteristic set through a dynamic adaptive discrete particle swarm algorithm, and determining the operation state of the household electric appliance. According to the method, users can conveniently carry out household energy-saving management and make demand response measures for a power grid, the real-time bidirectional interaction of the intelligent power grid is realized, and the asset utilization rate and the energy utilization efficiency are effectively improved.

The embodiment of the invention provides a cabinet and a cooling system. The cabinet comprises a working cabin and a cooling cabin, wherein the working cabin is arranged on one side of a cooling substrate, and used for accommodating a server; the cooling cabin is arranged on the other side of the cooling substrate, the cooling cabin and the working cabin share the cooling substrate serving as a cabin wall, the working cabin and the cooling cabin are isolated by the cooling substrate, a plurality of cooling fins are accommodated in the cooling cabin and connected with the cooling substrate, the cooling substrate is used for conducting heat generated by the server in the working cabin to the plurality of cooling fins, an air inlet is formed in the first side cabin wall of the cooling cabin, an air outlet is formed in the second side cabin wall of the cooling cabin, and thereby natural air enters the cooling cabin from the air inlet, passes through the plurality of cooling fins and then discharges heat on the plurality of cooling fins by the air outlet; the first side cabin wall and the second side cabin wall are the cabin walls besides the cooling substrate in the cooling cabin. According to the cabinet provided by the embodiment of the invention, the server is cooled by natural air, the cooling efficiency can be improved, energy consumption can be reduced, and thereby the energy use efficiency can be improved.

The invention relates to an insulation coating based on phase change heat storage mechanism and a preparing method thereof. In the method, resin is taken as a substrate, and microcapsule organic phasechange material paraffin is doped so as to form novel insulation coating with a phase change heat storage function. The invention adopts the microcapsule technology to solve loss and exosmosis of phase change material, and adopts a solvent volatilization drying filming mode to solve the problem of coating crack under high paraffin microcapsule content. The paraffin microcapsule phase change heatstorage and insulation coating can be applied to vehicles, ships, oil (gas) storage tanks, refrigeration equipment and conditioning equipment, and can greatly reduce the thickness of an insulation layer, simplify construction technology, improve the utilization efficiency of energy and save volume and space for equipment to insulate heat.

The invention discloses a minium loss and direct torque control method for a hybrid excitation synchronous motor; the method comprises the steps of acquiring current and voltage signals from a motor main circuit, processing the signals in a controller, calculating stator flux linkage amplitude, azimuth, electromagnetic torque, and increment of angle of attack subsequently, judging motor operation intervals according to speed, calculating stator Alpha axis voltage and Beta axis voltage according to stator flux linkage reference values under the different operation intervals, and driving a main power converter, namely an excitation power converter. The minium loss and direct torque control method for the hybrid excitation synchronous motor provides reduced motor copper loss, iron loss, stray loss, and mechanical loss, motor loading capacity and torque quick response capacity are improved, the speed adjusting range of the motor is widened, energy utilization efficiency is improved, and electricity is saved.

The invention discloses a micro-grid electricity energy storage and ice storage combined optimization scheduling method based on AC/DC load, cooling load and photovoltaic generating prediction result and electricity price information; the method takes the minimum electricity charge as the object, builds an optimization model for electricity energy storage charge and discharge state and refrigerating machine and ice storage tank cooling load distribution, solves the optimization model, and obtains the optical electricity energy storage charge and discharge strategy and refrigerating machine and ice storage tank cooling load distribution strategy. The method simultaneously considers electricity energy storage and ice storage combined optimization, can more effectively lifting energy usage effect and carry out peak-load shifting, thus saving electricity charges; the method can be applied to intelligent micro-grid optimization scheduling systems of various types.

The invention, which belongs to the field of the information technology, relates to an energy consumption prediction method for improving an energy utilization rate of an iron and steel enterprise. A neural network algorithm with error feedback correction learning is used for carrying out prediction. In order to solve a problem of slow convergence speed of the traditional learning method, a momentum is added into an adjusting formula of a weight value and a threshold value, thereby accelerating a training speed of a network. With an adaptive adjusting learning rate, a learning rate of training at an error curved surface flat area is increased; and a learning rate is reduced at a drastic error changing area. On the basis of time-varying-weight-based parameter combination optimization method, distribution of an initial weight value and an initial threshold value is optimized, and good searching space is localized in solution space to avoid a local minimal point. According to the energy consumption prediction method, characteristics of energy consumption of all procedures are taken into consideration; the energy utilization rate is improved; and the energy costs are reduced and thus total production cost is lowered.

The invention discloses a heat radiation control system and a heat radiation control method thereof, which is applied to cooling control of a heating element. By utilizing a thermoelectric module to mutually contact with the heating element and utilizing a control module to sense the temperature of the heating element, signals are sent to lead the thermoelectric module to cool the heating element when the heating element acts to lead the temperature of the heating element to increase to an preset temperature upper limit value, on the contrary, if the temperature of the heating element is lower than a preset lower limit value, heat generated by actions of the heating element is converted into electric power to be stored, thereby energy utilizing efficiency and heat radiation efficiency of the heating element can be increased relatively to prolong the service life of the heating element.

The invention discloses a day-ahead collaborative optimization operation method of a regional integrated energy system. Firstly, the structure of the regional integrated energy system is analyzed andthe optimization range is determined. Secondly, based on the optimized range, the input and output characteristics of the energy production and conversion equipment and the transmission, distributionand use characteristics of the cold, heat and electricity energy in the multi-energy supply system are extracted, Then, an operation optimization model is constructed to minimize the operating cost ofthe regional multi-energy supply system. Finally, the system parameters, equipment parameters and load forecasting data are inputted, and the objective function is optimized, and the day-ahead collaborative optimization operation scheme of the regional integrated energy system is obtained. The invention improves the energy use efficiency and reduces the operation cost of the regional integrated energy system by coordinating and optimizing the operation of the multi-energy sources of cooling, heating and electricity in the regional integrated energy system.

The invention belongs to the field of air conditioning, and discloses a heat accumulation non-stop defrosting system and an air conditioner. The heat accumulation non-stop defrosting system comprises a first heat accumulator, a compressor, a second heat accumulator, a four-way reversing valve, a gas-liquid separator and a throttle valve. The first heat accumulator absorbs and stores heat produced during working of the compressor, and heat of flowing working media. The second heat accumulator absorbs and stores heat of flowing working media. A plurality of control valves are arranged in the system, during defrosting, working media flowing out from the compressor are divided into two parts, which pass through an indoor heat exchanger and an outdoor heat exchanger respectively and are gathered in front of the throttle valve, then pass through the throttle valve, the second heat accumulator, the first heat accumulator and the gas-liquid separator, and flow back to the compressor, specifically, the working media pass through the indoor heat exchanger to be condensed into liquid and release heat into a room through a perfusion fan, and nonstop is achieved in the defrosting process. Through the heat accumulation non-stop defrosting system and the air conditioner, the functions of defrosting and heating are achieved at the same time, in addition, the defrosting speed is high, electric heating energy consumption is decreased by reasonably applying the functions of the heat accumulators, and the energy source using efficiency of the whole system is improved.

A system for providing cooled air to electronic equipment includes a data center having electronic equipment in operation, a plurality of on- floor cooling units, and a cooling water source. The on-floor cooling units cool air warmed by the electronic equipment. The cooling water source is configured to supply cooling water that reduces a temperature of the on-floor cooling units. The power usage effectiveness ("PUE") of the system is less than 1.3, wherein the PUE is defined by energy used to operate the data center divided by energy used to run the electronic equipment.

The invention discloses the voltage adjustment circuit of an amplification circuit and a related adjustment method. The voltage adjustment circuit provided by the embodiment of the invention comprises a reference voltage generation circuit, a subtractor circuit, a threshold generation circuit and a comparison circuit, and is used for providing a power source signal for the amplification circuit to guarantee that the amplification circuit can provide an output signal for a load according to an input signal, wherein the subtractor circuit is used for generating a difference signal according to the output signal and the power source signal; the comparison circuit is used for setting the signal value of the power source adjustment signal of the reference voltage generation circuit according to the difference signal and a threshold signal generated by the threshold generation circuit; the voltage adjustment circuit can be used for adjusting a power source signal output to the amplification circuit according to the characteristics of the output signal. Therefore, the energy utilization efficiency of the amplification circuit can be improved and the distortion of the output signal can be avoided.

The invention discloses a machine tool product manufacturing system energy efficiency analysis method. The method includes the following steps that: (1) energy consumption data are acquired based on a workshop energy consumption sensing network; (2) based on the acquired energy consumption data in a manufacturing workshop, a star type model is adopted to construct a manufacturing workshop energy efficiency data warehouse; (3) a machine tool manufacturing energy efficiency evaluation index system is the established, and energy utilization situations of product production and energy management are described; (4) energy consumption integrated models are established for a step layer, a process layer, a part layer and a product layer; and (5) simulation analysis is carried out based on the established energy consumption integrated models, and the specific values of the energy efficiency evaluation indexes of each layer are obtained. According to the machine tool product manufacturing system energy efficiency analysis method of the present invention, three-level energy efficiency management evaluation indexes are established based on the energy consumption data in the manufacturing workshop acquired by the sensing network; energy consumption integrated modeling is performed for energy utilization efficiency of each level; the energy utilization ratio of the workshop is calculated based on the energy consumption integrated models; and the energy utilization situations of the whole workshop and specific production equipment can be sensed.

The invention discloses a vehicle multi-energy supply system and a method and a solar energy vehicle. The vehicle multi-energy supply system comprises a solar energy battery module, a storage battery module, a super capacitor module, a DC-AC inverter and an output control module; the output control module is used for acquiring the current state of a vehicle, the output control module controls any one or more modules of the solar energy battery module, the storage battery module and the super capacitor module to output an direct current to the DC-AC inverter according to the current state of the vehicle and the respective remaining capacity of the solar energy battery module, the storage battery module and the super capacitor module, and the solar energy battery module outputs the direct current to the DC-AC inverter preferentially; and the DC-AC inverter is used for converting the direct current into an alternating current to drive a traction motor. According to the vehicle multi-energy supply system and the method and the solar energy vehicle, environmental pollution caused by the vehicle can be reduced, energy using efficiency is improved, and vehicle driving range is increased.

The invention discloses an energy usage effectiveness detector and a detection system, and relates to the detection technical field so as to solve the problem that the energy effectiveness is long in detection period, high in cost and large in limitation in the prior art. The energy usage effectiveness detector comprises a main control module, an interaction module, a collection module and a storage module, wherein the interaction module, the collection module and the storage module are respectively electrically connected with the main control module; the main control module is used for executing an instruction corresponding to a preset energy usage efficiency calculation strategy so as to calculate the received energy usage data according to pre-allocated detection parameters to acquire energy usage efficiency data of the detected equipment; the interaction module is used for configuring the detection parameter of the energy usage efficiency detector and displaying the obtained energy usage data of the detected equipment; the collection module is used for collecting the energy usage data of the detected equipment and sending to the main control module; and the storage module is used for storing the data and the instructions corresponding to the various preset energy usage efficiency calculation strategies.

The invention discloses a heat conduction enhanced organic PCM (phase change material). The heat conduction enhanced organic PCM is prepared from an organic PCM containing nano-particles as a core material and a porous material as a wall material, wherein the nano-particles are boron nitride, CNTs (carbon nano tubes), expanded graphite and graphene oxide. A preparation method of the heat conduction enhanced organic PCM comprises the following steps: 1) a process of emulsifying the organic PCM; 2) a process of adsorbing the organic PCM containing the nano-particles by the porous material undera vacuum condition; and 3) a process of taking out a product obtained after vacuum adsorption. The heat conduction enhanced organic PCM has the advantages that 1) the heat response speed is high, i.e.the heat conduction property is high; 2) the heat accumulation density is high; 3) the heat cycling stability is high; and 4) raw materials are safe, non-toxic and non-corrosive, and the technical characteristics of being simple in preparation process and low in cost are achieved. Therefore, the heat conduction enhanced organic PCM is better in heat conductivity and stability, the using ratio ofenergy sources is improved, and the application prospect is wide.

The invention provides an equipment cabinet system and exhaust equipment thereof. The equipment cabinet system comprises a closed equipment cabinet, a rack and a heat sink. The rack is arranged inside the closed equipment cabinet. The heat sink is contained in the closed equipment cabinet, the heat sink and the rack are adjacent and parallel, and the heat sink and the rack altogether enable inner space of the closed equipment cabinet to be divided into a cold blast channel and a hot blast channel. The heat sink is provided with an air outlet and an air inlet, the air outlet is arranged corresponding to the cold blast channel, and the air inlet is arranged corresponding to the hot blast channel. Therefore, the heat sink and the rack are adjacent and parallel and altogether enable the inner space of the closed equipment cabinet to be divided into the cold blast channel and the hot blast channel, so that servers which are arranged inside the rack in a stacked mode can all be evenly cooled, and thus the equipment cabinet system has good energy service efficiency.

The invention discloses an intelligent monitoring management system, comprising a monitoring management device, equipment under control, a management computer and a service space; the monitoring management device comprises a main control device, a computer end wire/wireless communication network interface, a service space sensing signal receiving interface, a service space control signal output interface, a controlled equipment power sensing signal receiving interface, a controlled equipment power control signal output interface, a controlled equipment sensing interface, an analog output interface, a controlled equipment sensing signal receiving interface, a controlled equipment control signal output interface and an equipment end wire/wireless communication network interface; the monitoring management control device can withstand the interaction of the external standard electric signal interface or external communication interface of the controlled equipment and the equipment under the control, monitors and adjusts the running state and type of the controlled equipment, realizes the efficacy of the controlled equipment on efficiency of energy use, intelligentization of demand management intelligence, networking of maintenance and operation management and the like.

The invention relates to a cascading LED driving circuit which can lighten different quantities of the LEDs according to voltage variation. By using the cascading LED driving circuit, efficiency can be improved. The circuit mainly comprises: a power supply module, a plurality of LED modules and a constant current assembly. The each LED module comprises: a constant current bypass circuit and at least one LED. The LED is connected in series between a first terminal and a second terminal of the constant current bypass circuit. The first terminal of the each constant current bypass circuit is connected with the power supply module or a third terminal of a higher-level constant current bypass circuit and is connected in series with the constant current assembly in the circuit. Therefore, different quantities of the LEDs can be lightened according to the different voltages and the energy usage efficiency can be improved.