scholarly journals Correction to: Data and optimization model of an industrial heat transfer station to increase energy flexibility

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Thomas Kohne ◽  
Lukas Theisinger ◽  
Jan Scherff ◽  
Matthias Weigold
Keyword(s):  
Heat Transfer ◽  
Optimization Model ◽  
Transfer Station

scholarly journals Data and optimization model of an industrial heat transfer station to increase energy flexibility

2021 ◽  
Vol 4 (S3) ◽  
Author(s):  
Thomas Kohne ◽  
Lukas Theisinger ◽  
Jan Scherff ◽  
Matthias Weigold
Keyword(s):  
Heat Transfer ◽  
Optimization Model ◽  
Waste Heat ◽  
Operating Cost ◽  
Reference Architecture ◽  
Total Energy Consumption ◽  
District Heating System ◽  
Energy Supply System ◽  
Architecture Model ◽  
Transfer Station

AbstractNations and companies are forced to reduce CO2 emissions and decelerate global warming. In this development, the transition of the heating sector is still in its infancy despite the relatively large share of thermal energy in the total energy consumption. Industrial companies can contribute significantly to reduce CO2 emissions by using waste heat through connecting their industrial energy supply system (IESS) to a district heating system (DHS). This paper focuses on emission reduction potential of an (industrial) heat transfer station (HTS) regarding energy flexibility and sector coupling required for the successful integration of industrial waste heat. To optimize the operating behaviour of the HTS, a data and optimization model is integrated into a digital twin (DT) based on reference architecture model for industry 4.0 (RAMI4.0). Within the DT, the information, functional and business layer are modeled. The effects of operating the HTS supported by central modules of the DT are evaluated on one year’s data of an IESS of a real industrial site. The results show a potential operating cost reduction by 6 % for the IESS and increases in profits of 1.3 % for the DHS. Scope 2 emissions can be reduced by 25 % for the IESS and 180 % for the DHS respectively, strongly depending on emission factors and allocation methods.

scholarly journals Optimization Design of Lattice Structures in Internal Cooling Channel with Variable Aspect Ratio of Gas Turbine Blade

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3954
Author(s):  
Liang Xu ◽  
Qicheng Ruan ◽  
Qingyun Shen ◽  
Lei Xi ◽  
Jianmin Gao ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Aspect Ratio ◽  
Optimization Model ◽  
Lattice Structure ◽  
Turbine Blades ◽  
Internal Cooling ◽  
Cooling Channel ◽  
Cooling Channels ◽  
Mechanical Performances ◽  
Type Lattice

Traditional cooling structures in gas turbines greatly improve the high temperature resistance of turbine blades; however, few cooling structures concern both heat transfer and mechanical performances. A lattice structure (LS) can solve this issue because of its advantages of being lightweight and having high porosity and strength. Although the topology of LS is complex, it can be manufactured with metal 3D printing technology in the future. In this study, an integral optimization model concerning both heat transfer and mechanical performances was presented to design the LS cooling channel with a variable aspect ratio in gas turbine blades. Firstly, some internal cooling channels with the thin walls were built up and a simple raw of five LS cores was taken as an insert or a turbulator in these cooling channels. Secondly, relations between geometric variables (height (H), diameter (D) and inclination angle(ω)) and objectives/functions of this research, including the first-order natural frequency (freq1), equivalent elastic modulus (E), relative density (ρ¯) and Nusselt number (Nu), were established for a pyramid-type lattice structure (PLS) and Kagome-type lattice structure (KLS). Finally, the ISIGHT platform was introduced to construct the frame of the integral optimization model. Two selected optimization problems (Op-I and Op-II) were solved based on the third-order response model with an accuracy of more than 0.97, and optimization results were analyzed. The results showed that the change of Nu and freq1 had the highest overall sensitivity Op-I and Op-II, respectively, and the change of D and H had the highest single sensitivity for Nu and freq1, respectively. Compared to the initial LS, the LS of Op-I increased Nu and E by 24.1% and 29.8%, respectively, and decreased ρ¯ by 71%; the LS of Op-II increased Nu and E by 30.8% and 45.2%, respectively, and slightly increased ρ¯; the LS of both Op-I and Op-II decreased freq1 by 27.9% and 19.3%, respectively. These results suggested that the heat transfer, load bearing and lightweight performances of the LS were greatly improved by the optimization model (except for the lightweight performance for the optimal LS of Op-II, which became slightly worse), while it failed to improve vibration performance of the optimal LS.

Multi-physical simulation of stirring effect on heating uniformity in a microwave reactor with interlayer

2021 ◽  
pp. 1-46
Author(s):  
Pengcheng Zou ◽  
Guangyuan Jin ◽  
Guoyu Nie ◽  
Chunfang Song ◽  
Zhengwei Cui
Keyword(s):  
Heat Transfer ◽  
Power Consumption ◽  
Microwave Heating ◽  
Optimization Model ◽  
Physical Simulation ◽  
Nonuniform Heating ◽  
Microwave Reactor ◽  
Stirring Effect ◽  
Microwave Reactors ◽  
Heating Uniformity

Abstract Due to the exhaustion of fossil fuels and environmental degradation, biodiesel has attracted much attention as a new energy source. Currently, microwave reactors are used extensively for producing biodiesel. However, nonuniform heating of producing biodiesel in microwave reactors is a major problem. In order to solve the problem, a microwave reactor with an interlayer which can obviously improve the uniformity of microwave heating was designed. In this work, the heating efficiency and heating uniformity of the reactor were discussed from two aspects of waveguide position and interlayer thickness by means of multi-physical coupling calculation. According to the calculation results, the optimization model of a microwave reactor with an interlayer was obtained. Then, based on the above optimization model of a microwave reactor with an interlayer, a stirrer that can improve the heat transfer of the fluid material was introduced. The Maxwell equation, heat transfer equation and flow equation were coupled by multi-physical field simulation method to explore the influence of different factors of stirrer on power consumption and heating uniformity. Through response surface analysis, it was found that the primary and secondary order of stirring factors affecting microwave heating uniformity was stirring speed > impeller diameter > bottom clearance, and there was an interaction between different factors. From the two aspects of stirring power consumption and heating uniformity, the best stirring effect was obtained.

scholarly journals Superstructure-Based Optimization of Vapor Compression-Absorption Cascade Refrigeration Systems

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 428
Author(s):  
Sergio F. Mussati ◽  
Tatiana Morosuk ◽  
Miguel C. Mussati
Keyword(s):  
Heat Transfer ◽  
Optimization Model ◽  
Double Effect ◽  
Total Heat ◽  
Optimal Configuration ◽  
Vapor Compression ◽  
Heat Transfer Area ◽  
Refrigeration System ◽  
Cascade System ◽  
Total Heat Transfer

A system that combines a vapor compression refrigeration system (VCRS) with a vapor absorption refrigeration system (VARS) merges the advantages of both processes, resulting in a more cost-effective system. In such a cascade system, the electrical power for VCRS and the heat energy for VARS can be significantly reduced, resulting in a coefficient of performance (COP) value higher than the value of each system operating in standalone mode. A previously developed optimization model of a series flow double-effect H2O-LiBr VARS is extended to a superstructure-based optimization model to embed several possible configurations. This model is coupled to an R134a VCRS model. The problem consists in finding the optimal configuration of the cascade system and the sizes and operating conditions of all system components that minimize the total heat transfer area of the system, while satisfying given design specifications (evaporator temperature and refrigeration capacity of −17.0 °C and 50.0 kW, respectively), and using steam at 130 °C, by applying mathematical programming methods. The obtained configuration is different from those reported for combinations of double-effect H2O-LiBr VAR and VCR systems. The obtained optimal configuration is compared to the available data. The obtained total heat transfer area is around 7.3% smaller than that of the reference case.

Research and Implementation of Soot-Blowing Optimization on 600MW Coal-Fired Boiler

2005 ◽  
Author(s):  
Yu-Dong Zhu ◽  
Wei-Ping Yan ◽  
Zheng-Yang Gao ◽  
Xing-He Wang ◽  
Zhan-Feng Qin
Keyword(s):  
Heat Transfer ◽  
Convective Heat Transfer ◽  
Optimization Model ◽  
Heat Transfer Surface ◽  
Forecasting Model ◽  
Steam Consumption ◽  
Utility Boiler ◽  
Advisory System ◽  
Boiler Efficiency ◽  
Set Up

The forecasting model of fouling rate on convective heat transfer surface is deduced, the fouling monitoring and sootblowing optimization model are built, and the sootblowing optimization system is set up in this paper. The intelligent sootblowing advisory system is conducted in a 600MW utility boiler. This system could improve boiler efficiency, reduce steam consumption, extend tubes’ life. The operation of sootblowers is very complicated to utility boiler in security and economy. As it is an arduous process to build the sootblowing optimization model and sootblowing strategy, so there are still further more to be investigated in many aspects.

The Research on Temperature Control System of Heat Transfer Station Based on Genetic Algorithm PID Control

2013 ◽  
Vol 391 ◽  
pp. 433-436
Author(s):  
Lei Shao ◽  
Nan Liu ◽  
Hai Bin Zuo
Keyword(s):  
Heat Transfer ◽  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Heating System ◽  
Temperature Control System ◽  
Adjustment Time ◽  
Transfer Station ◽  
Heating Energy Consumption ◽  
Pure Delay

The building heating energy consumption has drawn peoples attention gradually. Heat transfer station, as the central part of the heating system, has the characteristics of great inertia, pure delay in the temperature control system. Considering these characteristics, the GA-PID arithmetic was presented, and a simulation model was created in this dissertation. Comparing with traditional PID control, GA-PID control system has a half overshoot, shorter adjustment time, higher accuracy, and enters into the steady state faster. The simulation results prove the correctness and effectiveness of the proposed control scheme.

Theoretical Study on Optimal Design of Thermal Performance of Aerated Concrete-Based Composite Thermal Insulation Wall

2012 ◽  
Vol 450-451 ◽  
pp. 663-666
Author(s):  
Fang Yang ◽  
Lin Zhu Sun ◽  
Zi Ling Xie
Keyword(s):  
Heat Transfer ◽  
Thermal Insulation ◽  
Optimization Model ◽  
Architectural Design ◽  
Heat Transfer Performance ◽  
Thermal Inertia ◽  
Heat Transfer Theory ◽  
Composite Wall ◽  
Aerated Concrete ◽  
Insulation Wall

A wall of aerated concrete only can hardly meet the requirements for energy-saving architectural design. If both sides of the wall are provided with thermal insulation mortar to form a composite wall, the heat transfer performance of the wall will be significantly improved. In this Paper, we established an optimization model for the thermal economy of a thermal insulation composite wall according to heat transfer theory and in consideration of the depreciation and maintenance costs of the wall during use, and took the average heat transfer coefficient and index of thermal inertia of the wall as restricted conditions to calculate and analyze the economical thickness of the thermal insulation layer. We expect the optimization model be valuable reference in promoting the application of aerated concrete-based composite thermal insulation walls.

Application of Fuzzy Control System in Heat Transfer Station

2014 ◽  
Vol 687-691 ◽  
pp. 345-348
Author(s):  
Jia Tian
Keyword(s):  
Heat Transfer ◽  
Control System ◽  
Fuzzy Control ◽  
Control Algorithm ◽  
Energy Savings ◽  
Heating System ◽  
Transfer Station ◽  
System Energy ◽  
Fuzzy Control Algorithm ◽  
Core Part

The heat transfer station is a core part of the heating system, energy savings and reduce consumption can proceed from three aspects. Wherein the optimization algorithm is a very important part. In this paper, fuzzy control algorithm for controlling the temperature of the heat transfer station, through simulation comparison and found that the algorithm can indeed play a role in saving energy and reduce consumption.

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