39 results about "Economic parameters" patented technology

The present invention comprises a method, computer program product, and system for risk management. The present invention includes calculating a statistic of loss per unit time, the statistic being a product of a site loss parameter and a loss given a loss-basis event. The site loss parameter is a site casualty parameter and/or a site economic parameter, while the loss-basis event is a casualty-basis event and/or an economic-basis event, non-limiting examples of which include an earthquake, flooding, wind, and blast pressure.

The invention belongs to the field of micro-grid optimization planning and design and relates to a double-layer optimization planning and designing method for a combined cooling, heating and power micro-grid system. The smallest whole life circle economic present value and the minimum CO2 emission are taken as the optimization target of the method, a multi-target genetic algorithm based on NSGA-II is adopted for an outer layer optimization module, and the optimal equipment combination and the equipment capacity of the system are sought according to input equipment physical parameters of the system, input economic parameters and the optimization scheduling result output by an inner layer optimization module; the hybrid integer linear programming algorithm is adopted for the inner layer optimization module, with the lowest system operation cost as the optimization target, the optimal operation strategy on a typical day of the system is obtained according to the optimization configuration scheme given by the outer layer optimization module, the optimization scheduling result of the system is output by the inner layer optimization module, and the system operation cost is transmitted to the outer layer optimization module. The method can achieve combined optimization of the configuration and the operation strategy of the combined cooling, heating and power micro-grid system.

The invention discloses a method for optimizing reliability and maintenance strategy of a piece of chemical refining equipment. The method comprises the following steps of collecting the historical testing and maintaining data of equipment inside a chemical refining device; carrying out the regression analysis by a failure distribution function for the historical data to obtain the characteristic parameters of the reliability and maintenance of single equipment; establishing a mathematical simulation model of system reliability of the chemical refining device, and collecting the relevant economic parameters of the device; carrying out the system simulation analysis for the chemical refining device by using the mathematical simulation model of system reliability, then obtaining the characteristics parameters of system reliability, usability and maintenance of the device, and then further obtaining the testing and maintaining scheme of the optimized system equipment, such as inspecting and maintaining order, frequency and cost; and obtaining the spare part stock scheme of the optimized system equipment, such as purchasing quantity, purchasing cycle and spare part stock, thus adjusting the equipment managing strategy of the device. The method for optimizing the reliability and maintenance strategy of the chemical refining equipment reduces the unplanned fault rate of the chemical refining equipment, and provides guarantee for long-period safety operation of the chemical refining equipment.

The present invention discloses a user heterogeneous time value and traffic jam expense budget-based traffic distribution method. According to the present invention, by adding the two traveler economic parameters of the time value and the traffic jam expense budget in a traffic distribution model, the more objective and reasonable road network flow is outputted. According to the present invention, an actual road network is simplified into an abstract traffic network, and a path selection and traffic distribution combined model considering the heterogeneous time value and the traffic jam expense budget is constructed. The time value is a parameter describing the boundary expense, namely, is the fund cost that the users are willing to save and pay for each unit time, and the traffic jam expense budget is the cash quantity that the travelers can dominate the traffic jam expense. Based on considering the traveler heterogeneity, the user travel target can change from the conventional shortest driving time to the minimum comprehensive cost after considering the traffic jam expense budget, namely, the minimum summation of the driving time and the traffic jam expense, so that, obviously, the travel behaviors of the users and the road network flow can be described more reasonably and objectively, and the reference is provided for the path planning and the traffic jam charging.

An economic parameter estimator is provided for a process that has multiple process parameters (MPPs) and is performed to control emission of a pollutant into the air. The performance of the process is associated with one or more economic factors (EFs). The estimator includes either a neural network process model or a non-neural network process model. In either case, the model represents a relationship between one or more of the MPPs and an economic parameter. Also included is a processor configured with logic, e.g. programmed software, to estimate a monetary value of the economic parameter based on a value of each of the one or more MPPs, a value of each of at least one of the one or more EFs, and the one model.

The invention provides a reservoir production real-time optimization method based on an improved random disturbance approximation algorithm and belongs to the field of reservoir numerical simulation and optimal control. The method includes (1) giving initial control variables, boundary constraint and economic parameters; (2) supposing an iterative number k = 0, and performing numerical simulation computation to acquire a current NPV value; (3) generating Gauss type perturbation vectors according to spherical model covariance arrays, and computing the random disturbance gradients and an average value thereof; (4) updating the control variables; (5) performing reservoir simulation computation according to the updated control variables to acquire an updated NPV value; (6) judging whether the updated NPV value is larger than the current NPV value or not, if so, continuing the step (7), if not, halving the iteration step Lambda k, and returning to the step (4); (7) judging whether the convergence condition is met or not, if so, continuing the step (8), if not, setting the K = k+1, and returning to the step (3); (8) outputting the optimal control variable, and stopping the computation.

A method and apparatus for designing a gathering and transporting pipeline network include receiving design parameters, wherein that design parameters include topographic parameters, economic parameters and technical parameters; Generating a two-layer non-uniform mesh according to the design parameters, wherein the two-layer non-uniform mesh can characterize and determine the topology of a gathering pipeline network and the path between nodes; Judging whether the design result of the gathering and transporting pipeline network can be realized or not according to the preset rule and the two-layer uneven mesh; establishing A MILP model by taking that design parameter as a constraint condition and taking the minimum total construction cost as an objective function; solving The MILP model according to the two-layer non-uniform mesh to obtain the design result of the gathering and transporting pipeline network. The above method and device take into account the hydraulic calculation and economic flow rate, and can reflect the actual situation of the actual gathering and transporting system. Through the topographic parameters, economic parameters and technical parameters, the optimal gathering and transporting pipeline network design scheme can be obtained, which can guide the engineering construction of the oil and gas field and reduce the cost and increase the efficiency.

The invention discloses a constant-capacity model selection method considering access of a light storage system for a power distribution transformer. The constant-capacity model selection method comprises the steps of collecting data such as a power distribution technological economic parameter, an energy storage technological parameter and load annular rate of increase; respectively collecting historical data samples of power distribution and transformation low-voltage side load, photovoltaic contribution and a voltage of a high-voltage side for N days, and building a time sequence probability model on the basis of multi-parameter normal-distribution load, the photovoltaic contribution and the voltage of the high-voltage side; building power distribution and transformation model-selectionconstant-capacity dual-layer optimization model taking minimum power distribution and transformation life-cycle cost as a target and considering influence of power distribution and transformation low-voltage side voltage, load rate change constraint, power distribution and transformation running lifetime constraint and energy storage active control; and solving an upper-layer planning model by acataclysmic genetic algorithm, and solving a lower-layer running model by a generalized gradient descent method combined with a three-point estimation method to obtain power distribution and transformation optimal configuration scheme. The influence of the load, the photovoltaic randomness and the energy storage active control on power distribution and transformation constant-capacity model selection is considered, and the scientificity and the economy of a power distribution and transformation configuration scheme are reflected.

The present invention relates to an economic operation strategy of a multi-energy complementary micro energy. The strategy is characterized by establishing an economic objective function, selecting an operation mode which can minimize the overall cost or maximize the gain, and not considering non-economic parameters such as impact on power grid performance, impact on environment, and the like, in the objective function; and establishing economic optimal objective function, wherein the objective function can minimize the daily operation cost of the multi-energy complementary micro-energy system, and the daily operation comprehensive cost of the micro-energy system comprises three aspects of fuel costs, power costs generated by interacting with the power grid, and system operation and maintenance costs.

The invention discloses a blast furnace condition scoring method and system, and the method comprises the steps: carrying out the analysis of the data of key parameters and important technical and economic parameters of a blast furnace through adoption of a normalization interval analysis method, and obtaining a normalization linear equation; according to the absolute value of the dependent variable coefficient in the normalized linear equation, determining the scoring weight of the corresponding key parameter to the blast furnace condition; and quantitatively evaluating the blast furnace condition. Compared with the prior art, the blast furnace condition scoring method has the advantages that the normalized interval analysis method is used, the influence weight of the key parameters of the blast furnace on the important technical and economic parameters of the blast furnace is scientifically calculated, and the contribution degree of the key parameters to the evaluation of the furnacecondition of the blast furnace is determined, so that the furnace condition of the blast furnace is scientifically and quantitatively evaluated. Meanwhile, the method can also score the blast furnaces in different time periods, so that the furnace conditions of the blast furnaces in different time periods are determined, the production of the blast furnaces is effectively guided, the stability ofthe furnace conditions of the blast furnaces is facilitated, and the economic benefits of the blast furnaces are improved.

The present invention provides a method for evaluating reserves at late steam huff and puff under the SEC criterion. The method comprises: obtaining historical production data of a target block, and plotting a relation diagram between the stage yield and the time; according to the plotted relation diagram between the cumulative oil yield and the cumulative gasoline ratio, obtaining a linear regression equation of the cumulative gasoline ratio and the cumulative oil yield; collecting economic parameters of the target block, and obtaining the economic limit gasoline ratio and the economic limit yield of the target block; and according to the linear regression equation of the cumulative gasoline ratio and the cumulative oil yield, and the economic limit gasoline ratio and the economic limit yield, obtaining a decline rate of the target block, according to the decline rate of the target block, using the index decline method to evaluate the reserve of the target block, and finishing evaluation on the reserves at late steam huff and puff under the SEC criterion. According to the method for evaluating reserves at late steam huff and puff under the SEC criterion, the obtained results are more practical.

The invention relates to a measurement and calculation method of minimum economic reserves of natural gas hydrates, which is based on the net present value method most commonly used in the oil and gas resource estimation, combines with the technical characteristics of the exploitation of the natural gas hydrates and specifically quantifies various economic factors to obtain an expression formula of the net present value of an exploitation project of the natural gas hydrates, and then the corresponding reserves of the natural gas hydrates when the net preset value is zero are taken according to the definition of the minimum economic reserves, thereby obtaining the expression formula of the minimum economic reserves of the natural gas hydrates; the use of the method can very conveniently calculate the minimum economic reserves of one exploration project of the natural gas hydrates, thereby judging whether the exploration project of the natural gas hydrates has economic feasibility or not. The method of the invention is simple and concise. The various economic parameters of the method can also be modified according to the actual exploration situations, so that the method can be applied in a broader range.

The invention discloses a power system comprehensive decision-making method based on double-layer fuzzy optimization, belonging to the field of power system management. The invention provides a hierarchical decision-making method for electric power production and environmental management in electric power system planning, considers the fuzzy uncertainty of economic parameters in the system and uses a double-layer fuzzy programming method to solve the problem. In the process of solving, the decision makers at different levels control different decision variables and optimize their own objectives. Decision-makers at the upper level make decisions first, and the lower level reacts according to the decision-making results at the upper level. Therefore, the optimization method disclosed by theinvention obtains the optimal power system planning scheme by balancing the benefits of the two layers, and the optimization result disclosed by the invention can provide technical support for studying the regional power system planning, the comprehensive utilization of resources and the environmental protection.

The invention provides an economic parameter analysis and feedback system based on household energy consumption, which comprises a household energy consumption quantity acquisition module, a householdhistory energy consumption data storage module, an operation module, an evaluation and prediction module and a control module. By capturing the economic consumption patterns of the household unit, based on this, the economic consumption trend of the household unit is estimated, and an optimized energy consumption scheme in accordance with the household unit energy consumption habit is formulated,so as to effectively, scientifically and accurately plan the consumption plan of the household unit for different energy and resources, and improve the consumption efficiency of different energy andresources.

The invention relates to a method for electrolysis recovery of copper from an acidic etching liquid and PCB waste, and belongs to the technical field of resource recycling. According to the method, metals are directly dissolved through the reaction between a waste etching liquid and PCB waste, and the metal copper is recovered through electrolysis; and under a certain condition, crushed PCB wasteis dissolved in a waste etching liquid, the obtained solution is subjected to oxidation regeneration in the anode chamber of a two-film three-chamber electrolysis cell while electrodeposition of copper is performed in a cathode chamber, and the recovery rate of copper can reach more than 98%. According to the present invention, the treatment process is simple, the burning induced pollution can beavoided, the added value is high, and the good economic parameters and the environmental benefits can be achieved.

The invention relates to a reliability improvement-based power distribution network switch planning method. The invention aims to eliminate defects in the prior art. Switch optimal configuration is performed on a power distribution network region or a single line on the basis of geographical information, so that different switch configuration schemes can be provided according to different requirements. The method of the present invention includes the following steps that: the basic diagram model data of a power distribution network are acquired from a PMS; the basic diagram model data derivedin the step 1 are parsed and verified, and diagram-number consistency of the basic diagram data is checked; reliability parameters and economic parameters are inputted; switch optimal configuration isperformed on a power distribution network region or a single line; a configuration scheme is selected, and calculation is performed; and switch installation positions are set according to an output result. With the method provided by the technical schemes of the invention adopted, a complete set of power distribution network optimization configuration scheme is adopted to provide different switchsetting methods according to different requirements; and obtained switch information can be directly marked on a diagram, the marked diagram can be returned to the PMS, so that data can be updated inreal time.

The invention discloses a synchronous acquisition system, method and vehicle of hybrid vehicle economic parameters, wherein the system comprises a plurality of subsystems used for collecting a plurality of economic parameters and a synchronous processing device. The synchronous processing device is provided with a plurality of interfaces, each interface is connected with one subsystem, and each interface comprises a first end, a second end and a third end, wherein the first ends are used for sending synchronous base clocks, and the plurality of subsystems generate sampling clocks according to the synchronous base clocks; the second ends are used for sending collecting triggering signals to the plurality of subsystems; and the third ends are used for receiving the economic parameters sampled by the plurality of subsystems. The system ensures that sampling periods and sampling time of the plurality of subsystems are synchronous, the accuracy of the collected economic parameters is improved, the workload of subsequent data processing is reduced, and the efficiency and the reliability of data processing are improved.