Method of Automated Synthesis of Optimal Heat Exchange Network (HEN) Based on the Principle of Fixation of Variables

Ziyatdinov, N. N.; Emelyanov, I.I.; Lapteva, T. V.; Ryzhova, A.A.; Ignat’ev, A. N.

doi:10.1134/s0040579520020189

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…Second, the control plane, according to the underlying network resources status through south forwarding protocol control equipment and according to certain deployment strategy, maps the logical service chain to physical layer node, if the logic chain of service function mapping success assigned the corresponding instantiation resources, thus forming and meeting specific functionality, performance, and service path. In the specific service path, nodes with shadows represent physical nodes where VNF is deployed, while physical nodes without shadows only play the role of forwarding data [4].…”

Section: Definition 2 Logical Function Chainmentioning

confidence: 99%

“…Among them, the deployment of edge computing services can speed up the distribution of perception tasks and the collection of perception data; and by using D2D communication technology at the edge of the network, you can build a ubiquitous communication network environment, effectively reducing traditional cellular communication traffic. Due to the large number of participating devices in group intelligence perception, the application scenarios are changeable; there are still many factors affecting its execution efficiency that need to be discussed and studied in depth [4].…”

Section: Introductionmentioning

confidence: 99%

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Optimization Distribution Method of Computer Sensor Network Communication Based on the Linear Planning Model

et al. 2022

Journal of Sensors

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In order to explore the optimal allocation method of computer network communication, a linear programming model is proposed. Based on the overall structure of service chain deployment, the integer linear programming model is introduced to make mathematical modeling, so that network resources and load balancing can be effectively utilized under resource and delay constraints. Simulation results showed that in the experiment, 10 to 100 SFC request intensities were generated, respectively, calculating the request acceptance rates of the three deployment algorithms. Under the same conditions, the average request acceptance rate based on the G-kSP algorithm is about 95.4% and about 92.3%, and the greedy deployment algorithm is about 81.7%. We show that the optimized distribution method of computer sensor network communication based on a linear programming model reduces the load balance and time complexity while reducing the request acceptance rate.

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Section: Definition 2 Logical Function Chainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization Distribution Method of Computer Sensor Network Communication Based on the Linear Planning Model

et al. 2022

Journal of Sensors

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“…16 Zuberi et al 17 combined direct and indirect heat recovery for multiproduct batch processes, showing the advantage of thermal energy storage in energy saving. Ziyatdinov et al 18 developed decomposition strategies for HEN synthesis, by which the optimal structure and distribution of heat loads were determined in different stages with less computation effort required.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Interplant Heat Exchanger Networks Considering Utility Steam Supply and Various Locations of Interplant Steam Generation/Utilization

Liu

Yao

Zhuang

et al. 2020

Ind. Eng. Chem. Res.

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A multiobjective optimization (MOO) framework considering the dual objectives of the economy and the environment is presented in this work for the extended integration of interplant heat exchanger networks (HENs) and the shared utility system. Herein, the HENs of enterprises are integrated by allowing process streams to produce steam and using the steam as an intermediate fluid for cross-plant heat recovery, offsetting the utility steam supply in terms of interplant cooperative utilization of energy. The resultant new issues associated with steam generation (which and where), utilization (which and where), and the management of utility systems are addressed within the optimal design of the overall system by taking into account various possibilities. The framework is modeled as a mixed-integer nonlinear programming that accounts simultaneously for the minimum total annualized cost and the minimum environmental impact. A case with five specified scenarios is studied to demonstrate the benefit of structural extension and the conflict of the two objectives. Finally, the MOO problem is solved with Pareto solutions obtained, revealing the impact of network structure on the economy and the environment, which is more specific than a simple trade-off between energy consumption and equipment investment or a trade-off between different fuel sources.

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Optimal Heat Integration of Large-Scale Cyber-Physical Oil Refining Systems

Ryzhova

Emelyanov

Ziyatdinov

et al. 2021

Studies in Systems, Decision and Control

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Method of Automated Synthesis of Optimal Heat Exchange Network (HEN) Based on the Principle of Fixation of Variables

Cited by 5 publications

References 36 publications

Optimization Distribution Method of Computer Sensor Network Communication Based on the Linear Planning Model

Optimization Distribution Method of Computer Sensor Network Communication Based on the Linear Planning Model

Multiobjective Optimization of Interplant Heat Exchanger Networks Considering Utility Steam Supply and Various Locations of Interplant Steam Generation/Utilization

Optimal Heat Integration of Large-Scale Cyber-Physical Oil Refining Systems

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