scholarly journals Heat Exchanger Network Optimization in A Natural Gas Dehydration Unit

2021 ◽  
Vol 0 (6) ◽  
pp. 302
Author(s):  
Adhi Kurniawan ◽  
Juwari Juwari ◽  
Renanto Handogo
Keyword(s):  
Heat Exchanger ◽  
Natural Gas ◽  
Network Optimization ◽  
Heat Exchanger Network ◽  
Natural Gas Dehydration

Failure analysis of an air-cooled heat exchanger in natural gas dehydration unit

2020 ◽  
Vol 115 ◽  
pp. 104678
Author(s):  
Mehdi Javidi ◽  
Mohammad Amin Sadeghi ◽  
Raheleh Jafari ◽  
Amir Ardalan Hoodi
Keyword(s):  
Heat Exchanger ◽  
Natural Gas ◽  
Failure Analysis ◽  
Natural Gas Dehydration ◽  
Air Cooled Heat Exchanger

Heat Exchanger Network Optimization Using Differential Evolution with Stream Splitting

2014 ◽  
Vol 625 ◽  
pp. 373-377 ◽  
Author(s):  
Ngo Thi Phuong Thuy ◽  
Rajashekhar Pendyala ◽  
Narahari Marneni
Keyword(s):  
Heat Exchanger ◽  
Differential Evolution ◽  
Network Optimization ◽  
Heat Recovery ◽  
Differential Evolution Algorithm ◽  
Main Tool ◽  
Heat Exchanger Network ◽  
Pinch Point ◽  
New Strategy ◽  
Evolution Algorithm

Reduction in energy consumption is an important task in process industry. The basic idea of heat exchanger network (HEN) is using cold streams to cool hot streams and hot streams to heat cold streams. Hence, synthesis and optimization of HEN is a main tool for improving heat recovery. This article introduces a new strategy for HEN optimization using differential evolution algorithm. The proposed method considers splitting stream at the pinch point, to minimize the total cost of the network. Primarily, the minimum approach temperature value is determined through super-targeting. Then, differential evolution is employed to specify the heat load of heat exchangers and splitting streams. The HEN structure obtained in this work has better economics and illustrates the better performance by this approach.

Heat Exchanger Network Optimization by Differential Evolution Method

2014 ◽  
Vol 564 ◽  
pp. 292-297 ◽  
Author(s):  
Ngo Thi Phuong Thuy ◽  
Rajashekhar Pendyala ◽  
Nejat Rahmanian ◽  
Narahari Marneni
Keyword(s):  
Heat Exchanger ◽  
Differential Evolution ◽  
Network Optimization ◽  
Energy Utilization ◽  
Heat Exchanger Network ◽  
De Algorithm ◽  
Global Cost ◽  
Pinch Technology ◽  
Recent Developments

The synthesis of heat exchanger network (HEN) is a comprehensive approach to optimize energy utilization in process industry. Recent developments in HEN synthesis (HENS) present several heuristic methods, such as Simulated Annealing (SA), Genetic Algorithm (GA), and Differential Evolution (DE). In this work, DE method for synthesis and optimization of HEN has been presented. Using DE combined with the concept of super-targeting, the optimization is determined. Then DE algorithm is employed to optimize the global cost function including the constraints, such as heat balance, the temperatures of process streams. A case study has been optimized using DE, generated structure of HEN and compared with networks obtained by other methods such as pinch technology or mathematical programming. Through the result, the proposed method has been illustrated that DE is able to apply in HEN optimization, with 16.7% increase in capital cost and 56.4%, 18.9% decrease in energy, global costs respectively.

scholarly journals Heat Exchanger Network Optimization Based on the Participatory Evolution Strategy for Streams

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8392
Author(s):  
Jiaxing Chen ◽  
Guomin Cui ◽  
Mei Cao ◽  
Heri Kayange ◽  
Jian Li
Keyword(s):  
Heat Exchanger ◽  
Network Optimization ◽  
Heat Exchangers ◽  
Structural Model ◽  
Evolutionary Process ◽  
Optimal Solution ◽  
Evolutionary Strategy ◽  
Heat Exchanger Network ◽  
Global Optimal Solution ◽  
Global Optimal

The non-structural model of a heat exchanger network randomly selects a position of a node on hot and cold streams to generate a heat exchanger and an existing heat exchanger to participate in the evolution. Despite the model being more random and flexible, this selection method cannot easily find a good solution. In addition, the heat exchangers participating in the evolution might not be involved in all streams in each evolutionary process. A stream that does not participate in the evolution will have no significance to the current iteration. Therefore, many iterations are required to make each stream participate in the evolution, which limits the evolution efficiency of the optimization algorithm. In view of this shortcoming, this study proposes a participatory evolutionary strategy for streams based on hot streams. The proposed strategy reorders the existing heat exchangers on hot and cold streams and takes the corresponding measures to ensure that a heat exchanger is selected for each stream to participate in the evolution in every cycle. The proposed participatory evolutionary strategy for streams improves the global optimal solution for designs based on non-structural models. The effectiveness of the proposed strategy is demonstrated in two cases.

Advanced exergy analysis of heat exchanger network in a complex natural gas refinery

2019 ◽  
Vol 206 ◽  
pp. 670-687 ◽  
Author(s):  
Mohsen Mehdizadeh- Fard ◽  
Fathollah Pourfayaz
Keyword(s):  
Heat Exchanger ◽  
Natural Gas ◽  
Exergy Analysis ◽  
Heat Exchanger Network ◽  
Gas Refinery
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