2013
DOI: 10.5120/14432-2578
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A New Strategy to Synthesis an Optimum Controllable HEN by using Fuzzy Analogical Gates

Abstract: This paper presents a new strategy to synthesis optimum controllable heat exchanger networks; the proposed strategy consists of four sequential steps: i) Quantification of index of structural controllability. ii) Exergy analysis and normalized irreversibility. iii) Thermal effectiveness of network. iv) Fuzzy analogical gates network and selection of the best weight index. Two analogical gates (symmetric and asymmetric) are employed. The symmetric gate (AND gate) inputs are the index controllability and thermal… Show more

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Cited by 2 publications
(2 citation statements)
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“…According to the concept of "down-stream paths," with "down-stream path length" as the standard, the interference transmission in the heat exchanger network can be divided into four different modes, 17 according to this, the severity of interference transmission is divided into four levels, which are used as the weight e ij of the network. The "down-stream path length" is determined by the number of heat exchangers involved in the path.…”
Section: Complex Network Model Of Heat Exchanger Networkmentioning
confidence: 99%
“…According to the concept of "down-stream paths," with "down-stream path length" as the standard, the interference transmission in the heat exchanger network can be divided into four different modes, 17 according to this, the severity of interference transmission is divided into four levels, which are used as the weight e ij of the network. The "down-stream path length" is determined by the number of heat exchangers involved in the path.…”
Section: Complex Network Model Of Heat Exchanger Networkmentioning
confidence: 99%
“…The first gate is selected to be symmetric and the second gate is asymmetric. A fuzzy analogical -AND gate will be followed by a fuzzy invoke gate Hussein [18]. The symmetric gate inputs are normalized savings in energy requirement µ 1 and the number of inter-zonal transfer µ 2 .…”
Section: Step 2fuzzy Analogical Gates Networkmentioning
confidence: 99%