2020
DOI: 10.1016/j.energy.2020.118583
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Design of optimal heat exchanger network with fluctuation probability using break-even analysis

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Cited by 11 publications
(1 citation statement)
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“…An overview of methodologies for synthesis of flexible HENs was recently presented in a review paper by Kang and Liu (2019). Some recent developments in this area include flexibility for site wide integration (Kachacha et al, 2018), a robustness indicator based on enhanced data collection (Payet et al, 2018), use of Monte Carlo simulation to analyze flexibility and controllability of HEN retrofit designs (Lal et al, 2019), a new HEN synthesis methodology that considers flexibility with respect to both process fluctuations and gradual build-up of fouling (Liu et al, 2019), break-even analysis to find the probability of fluctuations that make over-design for flexibility beneficial (Hafizan et al, 2020), flexibility assessment accounting for both measurable and unmeasurable parameters (Ochoa and Grossmann 2020), and a new optimization strategy based on binary particle swarm optimization and an evolutionary algorithm for solving the problem of synthesis of flexible HENs (Wang et al, 2021). However, to the authors' knowledge no systematic approach has been published to guide the analysis of the trade-offs between investment cost and benefits associated with flexibility for both short-term flexibility and long-term development.…”
Section: Introductionmentioning
confidence: 99%
“…An overview of methodologies for synthesis of flexible HENs was recently presented in a review paper by Kang and Liu (2019). Some recent developments in this area include flexibility for site wide integration (Kachacha et al, 2018), a robustness indicator based on enhanced data collection (Payet et al, 2018), use of Monte Carlo simulation to analyze flexibility and controllability of HEN retrofit designs (Lal et al, 2019), a new HEN synthesis methodology that considers flexibility with respect to both process fluctuations and gradual build-up of fouling (Liu et al, 2019), break-even analysis to find the probability of fluctuations that make over-design for flexibility beneficial (Hafizan et al, 2020), flexibility assessment accounting for both measurable and unmeasurable parameters (Ochoa and Grossmann 2020), and a new optimization strategy based on binary particle swarm optimization and an evolutionary algorithm for solving the problem of synthesis of flexible HENs (Wang et al, 2021). However, to the authors' knowledge no systematic approach has been published to guide the analysis of the trade-offs between investment cost and benefits associated with flexibility for both short-term flexibility and long-term development.…”
Section: Introductionmentioning
confidence: 99%