Corrigendum: Numerical analysis of flow and heat transfer in a thin film along an unsteady stretching cylinder

Name of the 5th author Hijaz Ahma is not written correctly, by technical error. Correct name of the 5th author has to be written as Hijaz Ahmad. <br><br><font color="red"><b> Link to the corrected article <u><a href="http://dx.doi.org/10.2298/TSCI21S2441S">10.2298/TSCI21S2441S</a></b></u>

Thermal station modelling and optimal control based on deep learning

To solve the mismatch between heating quantity and demand of thermal stations, an optimized control method based on depth deterministic strategy gradient was proposed in this paper. In this paper, long short-time memory deep learning algorithm is used to model the thermal power station, and then the depth deterministic strategy gradient control algorithm is used to solve the water supply flow sequence of the primary side of the thermal power station in combination with the operation mechanism of the central heating system. In this paper, a large number of historical working condition data of a thermal station are used to carry out simulation experiment, and the results show that the method is effective, which can realize the on-demand heating of the thermal station a certain extent and improve the utilization rate of heat.

Economical research on optimizing heating parameters of steam heating condensate recovery in thermal power plants

The paper starts with calculating the share of heat of condensate in thermal power plants in the total heat of steam, expounds the purpose, significance, and principle requirements of condensate recovery. Introduces the composition and classification of condensate recovery system, proposes technical and economic indicators for condensate recovery, and derives them a simple algorithm for the benefit of condensate recovery is presented. Finally, two calculation examples are used to illustrate the considerable benefits of condensate recovery.

Modelling and control of solar thermal power generation network in smart grid

The thermal storage system is an essential part of the trough solar thermal power generation system. Due to the strong randomness, intermittency, and volatility of solar energy resources, to further improve the system?s overall reliability to meet the needs of variable operating conditions, the paper optimizes the control strategy of the trough solar heat storage system. Taking the molten salt heat storage medium in the oil/salt heat exchanger, the core equipment of the heat storage system, as the critical research object, the article adopts proportional, integral, and differential (PID) control theories. It builds the system in the MATLAB/Simulink simulation environment mathematical model. We use the critical proportionality method to determine many critical parameters in the control system, tune the proportional coefficient, integral time, and other physical quantities in the PID controller, and analyze the proportional control, proportional-integral control, PID controls the respective dynamic response characteristics of these three different control systems. The simulation and comparative analysis results show that: compared with the other two control methods, PID control can effectively weaken the heat storage system oscillation caused by external disturbance, its dynamic response speed is faster, the adjustment time is shorter, and it can meet the requirements of operational stability. The paper adopts PID control, which reduces the control difficulty of the trough solar heat storage system and improves the adaptability to changes in external meteorological resources. The research results have particular guiding significance at the academic and engineering levels.

Modelling and simulation of solar thermal power generation network

In the smart grid context, the article combines SEGS-VI solar thermal power station parameters to establish a solar thermal power generation system model. The thesis is based on the First and Second laws of thermodynamics. It uses the white box model analysis method of the energy system to calculate the solar thermal power generation system-concentrating and collecting subsystem, heat exchange subsystem, and power subsystem to obtain the subsystems dissipation of each process. Finally, the article uses the white box model analysis of the total energy system to treat the subsystems as white boxes, and connects them to form a white box network, makes a reasonable evaluation of the energy consumption status of the total energy system, and finds the weak links in the energy use process of the system. Provide a basis for system energy saving.

System optimization of thermal management performance of fuel cell system for automobile

Vehicle fuel cell systems release a large amount of heat while generating electricity. The suitable thermal management system must be built to ensure system performance and reliability. Based on the analysis of the working principle of the vehicle fuel cell thermal management system, the paper establishes a control-oriented fuel cell thermal management. The stack, air cooler, hydrogen heat exchanger, bypass valve, heat sink, and cooling water circulating pump model are taking into account. System model, and the relationship between stack current, coolant flow rate, fin surface wind speed, bypass valve opening, and fuel cell temperature are in established in simulation experiments. The paper discusses their effects on system as a whole, air coolers, hydrogen heat exchangers, and the influence of the temperature difference between the inlet and outlet of the radiator. The simulation results can provide guidance and help to design the fuel cell thermal management control system.

Investigation of thermal mechanical coupling numerical simulation and theoretical study of k-shaped combined metal seal of downhole flow control valve

The K-shaped seal assembly is composed of K-shaped metal seal, high temperature nickel base alloy (GH4169). Its sealing performance directly affects the reliability and stability of flow control system. The 2-D axisymmetric K-shaped metal seal is abstracted as the combination of interference fit model and cantilever beam model. Considering the influence of temperature on the seal, based on the 2-D constitutive relation of elastic medium and heat conduction theory, the theoretical model between contact stress and self variation of K-shaped metal seal ring is deduced by using inverse method. Using ABAQUS thermal structure coupling analysis method, the thermal mechanical coupling finite element model of K-shaped seal assembly is established. The theoretical analytical solution proposed in this paper can be used to calculate the approximate solution of contact stress of radial metal seal under current oilfield conditions, and provides theoretical support for the numerical calculation of thermal stress of radial metal seal.

Thermal energy data monitoring system based on data collection of thermal metering equipment of internet of things

To solve the inaccurate measurement of the traditional thermal energy network, the paper designs a thermal energy network monitoring and control system based on GPS and Ti3367 wireless transmission and reception based on the IoT. First, the paper designs the monitoring and control system?s overall function and topology, including the management layer?s complex functions, the data aggregation layer, and the data acquisition layer. The paper then designs the system?s hardware structure based on the IoT, including the connection design of the hardware circuit structure diagram of the data aggregation layer and the data acquisition layer. Finally, the paper realizes the system?s software flow design, including system initialization and wireless data receiving and sending flow design.

The influence of rural building energy saving design on clean energy heating in winter

Taking a typical rural building as an example, the paper compares various factors that affect the heat load of the building, studies related literature and the living habits of rural residents, and suggests that the calculated temperature of the heating room in rural residential buildings in cold areas in winter is 14~17?C. Analyze and compare the initial investment and the investment pay-back period after the thermal insulation measures are adopted for each envelope structure. With the dual goals of energy conservation and economy, it is recommended that rural households with different economic conditions adopt different thermal insulation measures to provide clean heating in rural areas in the cold north. Provide strong technical guidance for energy conservation and emission reduction.

Constant temperature control system of building energy system

Due to the poor effect of traditional systems on constant temperature control, the paper proposes to design an embedded continuous temperature control system in a dynamic, intelligent building. In the smart building, the thesis takes the building as the research object and uses the embedded technology to design the overall structure diagram of the system. The thesis aims at the output control module of the thermostat. It uses the Peltier effect to develop the thermocouple closed-loop and drives the semiconductor refrigeration device select. In the software part, the paper establishes a cross-compilation environment, transplants embedded kernels, and sets fuzzy rules for constant temperature control. The validity of the system design is verified through experiments. It can be seen from the experimental results that the system has a better thermostat control effect.