10 results about "Exergy" patented technology

The invention provides a thermal management system energy grade and energy conversion difference measurement method based on # imgabs0 # analysis, and the method comprises the steps: obtaining key parameters of all parts of a system in real time, carrying out # imgabs1 # analysis, and obtaining an energy quality coefficient; performing grade difference measurement and heat flow distribution to obtain grade grading and flow direction configuration of each component; constructing a heat energy network model, and optimizing a network loop to form a high and low temperature multi-loop heat energy network; measuring component energy conversion efficiency difference to obtain a difference analysis result; analyzing the corresponding speed of energy conversion and performing control medium classification to obtain corresponding speed classification and medium distribution suggestions; and constructing a heat flow prediction model, designing an algorithm reward function, and obtaining an optimization control strategy based on response difference measurement. The heat flow can be reasonably distributed and utilized step by step according to the grade, the energy utilization efficiency of the total system is improved, the optimal energy utilization terminal combination scheme can be designed, energy loss is reduced, and the overall performance of the system is improved.

The invention discloses an energy-# imgabs0 #-carbon flow combined modeling method for an electric heating comprehensive energy system. The method comprises the steps that according to pipe network parameter information of the electric heating comprehensive energy system, iterative calculation of hydraulic and thermal parameters of the heat supply system, energy calculation of coupling equipment and load flow calculation of an electric power system are conducted, and energy flow parameters of the electric heating comprehensive energy system are obtained; according to the energy flow parameters of the electric heating comprehensive energy system, the energy mass coefficient of each node in the electric heating comprehensive energy system is calculated, and a pipe network energy flow matrix group and a pipe network # imgabs1 # flow matrix group are obtained through calculation; an electric heating comprehensive energy system carbon flow solving model considering the energy flow and # imgabs2 flow in a combined mode is constructed; and inputting the pipe network energy flow matrix group and the pipe network # imgabs3 # flow matrix group into the carbon flow solving model moment by moment, and solving to obtain carbon flow model parameters of the electric heating integrated energy system. Based on the method, the carbon flow parameter information considering the energy grade can be obtained, and a model basis can be provided for energy-carbon collaborative optimization scheduling of the electric heating comprehensive energy system.

This invention discloses a computer apparatus whose instructions describe a process which analyzes system entropy flows, irreversible losses and Carnot reversibilities associated with heat exchangers used in thermal engines. Irreversible losses include those from shell and tube heat exchangers, and those from the shell-side of heat exchangers such as condensers. This disclosure teaches revision to the classic Carnot Engine resulting in an Exergetic Engine. The Exergetic Engine was created by recognizing true thermodynamic irreversibility associated with any heat exchanger is determined by the summation of its internal exergy flows. This leads to a correction of Sadi Carnot's THot. For the nuclear engine, his TCold is redefined as a Fixed TRef dependent on neutronic constants and reactor coolant properties. Correcting his 200 year-old teachings produce an irreversible loss and an Exergetic Reversibility applicable to any heat exchanger used in any thermal engine.

A system for exergy generation. According to an embodiment of the present disclosure, there is provided a system, including: a first energy input; a heat output, configured to deliver a portion of an energy flow received at the first energy input; a heat flow regulator, for controlling a rate of heat flow through the heat output; a first sensor; and a controller, the controller being configured to: receive a measurement from the first sensor, and control the heat flow regulator to cause heat to flow at a first heat flow rate through the heat output, the system producing a greater outflow rate of exergy at the first heat flow rate than at a second heat flow rate different from the first heat flow rate.

The application discloses a carbon quota allocation method and system for complex discrete manufacturing industry based on process modularization and exergy analysis, and discloses an initial carbon quota allocation method for complex discrete manufacturing industry such as electrical equipment based on process modularization and exergy analysis according to the basic logic of carbon quota allocation.A standard process module benchmark library is established and released, the benchmark library is constructed and merged through industry manufacturing process, and the complexity of benchmark setting and management is greatly reduced; a carbon emission-exergy consumption mathematical model is established, the model strictly reveals the strong positive correlation between total carbon emission and total exergy consumption of the industrial process; the annual total equivalent exergy consumption activity level is adopted, the carbon quota is allocated based on the unified exergy physical dimension, and the fairness and efficiency are ensured.The application realizes the unity, fairness and quantization of different processes and products, effectively solves the problem that the prior art is difficult to scientifically allocate the quota for complex manufacturing industry, and has significant technical progress and practical value.

This invention relates to the monitoring and diagnosing of the nuclear power plant for both its thermal performance and safety using the Neutronics / calorimetrics / Verification (NCV) Method. A key feature of the NCV Method is its ability to convert nuclear power, dependent on neutron flux, to an energy flow. The descriptive vehicle for nuclear phenomena lies with Second Law exergy analysis, treating its MeV release as a thermodynamic potential. Such potential is a Free Exergy consisting of both recoverable and irreversible portions. In transference to a coolant, the recoverable release produces an exergetic increase, an available power ({dot over (m)}Δg), the fluid exergy's TRef being explicitly computed from an Inertial Conversation Factor (Ξ). Ξ also directly transforms the recoverable nuclear release to an explicit, and consistent, core thermal power ({dot over (m)}Δh).

The present invention discloses a solution filling control method and system, relating to the field of quantum refrigeration control technology. The method comprises obtaining the peak tunneling current of a quantum resonant tunneling diode during the refrigerant filling process; inputting the peak tunneling current into a Schrödinger-Poisson coupling solver, calculating the electron tunneling probability based on Fermi's golden rule, and outputting the scalar value of the instantaneous molecular cohesion at the refrigerant molecular level by inverting the exponential relationship between the barrier width and the peak tunneling current; constructing a filling exergy loss functional in Hilbert space based on the entropy production gradient tensor, and using a variational method to solve for the optimal opening proportional factor in combination with a real-time load parameter vector; and adjusting the flow cross-sectional area of ​​the electromagnetic filling valve channel in real time based on the optimal opening proportional factor. The present invention constructs a filling exergy loss functional in Hilbert space based on the entropy production gradient tensor and uses a variational method to solve for the optimal opening proportional factor, thereby minimizing dynamic entropy production and maximizing energy efficiency during the filling process.

The invention discloses a double-heat-source Brayton cycle design method for a laser fusion reactor, and the method comprises the steps: considering the design demands of the laser fusion reactor, employing two cooling systems with different operation parameters to work in series, and enabling the two cooling systems to serve as double heat sources of a Brayton cycle system; firstly, a working condition analysis matrix is established and comprises a working medium, circulation configuration, heat source temperature difference and an energy ratio; a circulating system thermodynamic calculation method is adopted, conjugate gradient optimization is carried out, and system performance under different working conditions is obtained; the optimal efficiency under different working conditions is compared, enthalpy analysis and effective energy analysis are combined, and the double-heat-source Brayton cycle characteristics are analyzed; and establishing an equivalent single-heat-source model, comparing performance advantage intervals of the double-heat-source Brayton cycle system, and performing sensitivity analysis on parameters of the double-heat-source system. Aiming at a laser fusion reactor multi-cooling system, a genetic algorithm is adopted to optimize design parameters, and the efficient double-heat-source Brayton cycle system design method is obtained.

This invention discloses a computer apparatus whose instructions describe a process which greatly improves the analysis of system entropy flows, irreversible losses and Carnot Reversibilities associated with heat exchangers used in all thermal engines. Irreversible losses include those from shell and tube heat exchangers, as a component, and those from the shell-side of heat exchangers such as condensers. The understanding of any thermal engine lies with either understanding its inputs and useful power output, and / or understanding system losses. This disclosure focuses on entropy flows and system losses. It results in revision to the classic Carnot Engine resulting in an Exergetic Engine. Although Exergetic Engine's roots are embedded in Carnot's device, its invention is uniquely created by recognizing true thermodynamic irreversibility associated with any heat exchanger is determined by the summation of its internal exergy flows. This leads to a correction of Sadi Carnot's THot. For the nuclear engine, his TCold is also redefined as a Fixed TRef dependent on neutronic constants and the core's coolant properties. Correcting his 200 year-old teachings produce a highly accurate irreversible loss, and thus a highly accurate Carnot Reversibility which improves the thermodynamic understanding of all thermal engines. With such improved understanding, the system operator has actionable intelligence which can protect the public, and corrects degradations within the power plant which improve operations.

The application relates to a fuel cell system component adaptation selection method based on advanced exergy and energy quality coupling characteristics, and belongs to the technical field of fuel cell system design integration, and comprises the following steps: S1, constructing a database containing multiple alternative components, and establishing a virtual system thermodynamic model of different hardware combinations; S2, performing exergy loss disassembly on each alternative component combination based on an advanced exergy method, identifying inevitable exergy loss caused by technical limits, and determining the performance saturation degree of the alternative components to preliminarily remove over-designed models; S3, quantitatively evaluating the exogenous exergy loss strength generated by the alternative components by constructing an exergy loss coupling matrix, and screening an optimal adaptation model combination by taking the minimum total avoidable exergy loss of the system as a criterion; and S4, comprehensively considering exergy loss evolution and other costs in the whole life cycle, and finally determining the optimal component selection combination of the system.