Heat exchanger network retrofit throughout overall heat transfer coefficient by using genetic algorithm

Biyanto, Totok R.; Gonawan, Enrico Kevin; Nugroho, Gunawan; Hantoro, Ridho; Cordova, Hendra; Indrawati, Katherin

doi:10.1016/j.applthermaleng.2015.10.146

Cited by 17 publications

(7 citation statements)

References 14 publications

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“…Line of Research Category: (Tovarović and Ivanović-Šekularac, Jelena Šekularac, 2017), (Berardi, 2016), (Pérez-Urrestarazu, Luis Fernández-Cañero, Rafael Franco-Salas and Egea, 2016), (Aste et al, 2015), (Saber et al, 2015), (Ascione et al, 2014 (Carlos, 2017), (Eliopoulou and Mantziou, 2017), (Biyanto et al, 2016), (Cuce, 2016), (Evola and Margani, 2016), (Hengstberger et al, 2016), (Si et al, 2016), (Giovanardi et al, 2015), (Monetti et al, 2015), (Smith Bioclimatic Control Integrated Passive, Active and Smart Technologies and Svendsen, 2015), (Capeluto and Ochoa, 2014), (Moran et al, 2014), (Häkkinen, 2012), (Halawa, 2009), (Hestnes and Kofoed, 2002), (Santamouris and Dascalaki, 2002) (Carbonaro et al, 2016), (Thomsen et al, 2016), (Li et al, 2013), (Ochoa and Capeluto, 2015), (Rovers, 2014), (Silva et al, 2013), (Xing et al, 2011), (Aouad et al, 2010)…”

Section: Concepts Detected Key Conceptmentioning

confidence: 99%

Transdisciplinarity in energy retrofit. A Conceptual Framework

Sibilla

Kurul

2020

Journal of Cleaner Production

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This study explores the role of Energy Retrofit (ER) in Low Carbon Transition (LCT). The literature recognises the need to move towards a transdisciplinary approach in ER, which encompasses multidisciplinarity and interdisciplinarity. However, the fragmentation between different disciplines remains a significant problem, mainly due to challenges associated with knowledge exchange across the allied disciplines that play a role in ER. The authors posit that ER projects has been conceptualised and implemented using a Systems perspective so that an integrated approach that is akin to transdisciplinarity could become commonplace. Against this background, the aim of this paper is to establish to what extent ER has been conceptualised as a System in the literature so that complexities can effectively be managed through a transdisciplinary approach. This work is based on a literature review of 136 peer-reviewed journal papers. The content analysis demonstrates that current research on transdisciplinarity in ER can be conceptualised in five categories and 15 lines of research. They are presented as a Conceptual Framework, which is this paper's main contribution to existing knowledge. It reveals the direction of innovation in ER for LCT, and is illustrated as a cognitive map. This map exposes the current fragmentation implicit in the literature, and proposes critical connections that need to be established for a transdisciplinary approach. It also shows that the discourse on LCT changed by moving beyond the building scale; and recognising the need to embrace disruptive and local technologies, and integrating the social and technical aspects of ER. Innovative technical solutions and robust information modelling approaches emerge as key vehicles towards making decisions that pay regard to the economic, social and technical factors and that empower the prosumers to play an active role in LCT.

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Section: Concepts Detected Key Conceptmentioning

confidence: 99%

Transdisciplinarity in energy retrofit. A Conceptual Framework

Sibilla

Kurul

2020

Journal of Cleaner Production

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“…Existing pressure drop for each exchanger is maintained to avoid extra pumping cost for HEN streams. Pressure drop is used to obtain the heat transfer coefficients h T and h S for tube and shell side, respectively, using Equations (6) and 7.…”

Section: Cost Targetingmentioning

confidence: 99%

“…As per Nie and Zhu [28], Smith [31] and Osman et al [24], the heat transfer coefficients for tube side and shell side can be obtained while considering the exchanger pressure drop. The dimensional constants in the pressure drop Equations (6) and 7are calculated as follows: (A1)…”

Section: A E1 a E2 A E3 A E4 A E5 A E6mentioning

confidence: 99%

“…Gadalla et al have presented a methodology to maximize the use of existing equipment in HEN and distillation column based on rigorous simulation and optimization framework using pinch analysis [5]. Biyanto et al have recently conducted a HEN retrofit for maximum energy recovery without topological changes using a genetic algorithm (GA) to screen different optimization scenarios for selecting optimum heat transfer coefficient [6]. A step-wise approach for optimal HEN retrofit to reduce calculation times and annualized cost associated with HEN complexity has recently introduced by Ayotti-Sauve et al [7].…”

Section: Introductionmentioning

confidence: 99%

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Utility Paths Combination in HEN for Energy Saving and CO2 Emission Reduction

2019

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Energy demand and flue gas emissions, namely carbon dioxide (CO2) associated with the industrial revolution have exhibited a continuous rise. Several approaches were introduced recently to mitigate energy consumption and CO2 emissions by either grass root design or retrofit of existing heat exchanger networks (HEN) in chemical process plants. In this work, a combinatorial approach of path combination is used to generate several options for heat recovery enhancement in HEN. The options are applied to successively shift heat load from HEN utilities using combined utility paths at different heat recovery approach temperature (HRAT) considering exchangers pressure drop. Industrial case study for HEN of the preheat train in crude oil distillation unit from the literature is used to demonstrate the approach. The obtained results have been studied economically using the cost targeting of Pinch Technology. As a result, both external energy usage and CO2 emissions have been reduced from a heater device in HEN by 20% and 17%, respectively, with a payback of less than one year.

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“…However, the number of design variables for these exchangers were limited. Biyanto et al studied HEN retrofit, which was applied to maximize heat recovery without changing the area of heat transfer or adding new HE and the arrangement of HE in HEN. The literature survey shows that some studies have been conducted on a single shell and tube HE such as Bahiraei and Saeedan et al, and some researchers studied about type of optimization techniques or hybrid algorithms such as Garg and Patwal et al…”

Section: Introductionmentioning

confidence: 99%

Applying multiple decomposition methods and optimization techniques for achieving optimal cost in mixed materials heat exchanger networks

Karimi

Ahmadi‐Danesh‐Ashtiani

Aghanajafi

2019

Int J Energy Res

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Summary The optimization of the total annual cost in heat exchanger networks has been one of the overarching goals when synthesizing these networks. Several methodologies and techniques have been developed to achieve optimal costs in mixed material heat exchanger networks. This paper demonstrates the application of two decomposition methodologies (total decomposition and partial decomposition) for typical cost rules. The objective function was defined as the optimization and minimization of the total annual cost in mixed materials heat exchanger network. Three optimization algorithms, hybrid genetic‐particle swarm optimization (GA‐PSO), shuffled frog leaping algorithm (SFLA) techniques, and ant colony optimization (ACO), were used to further optimize the total cost in mixed materials heat exchanger network. The results indicate that the total annual cost in partial decomposition method was smaller than that in full integration method and total decomposition method. The reduction of the total annual cost was about 27% for GA‐PSO algorithm, 24% for SFLA and 10% for ACO relative to the results reported in this work. In partial decomposition method, at least one mixed material of heat exchanger was used to reduce the hot and cold utility for decreasing the total annual cost. Partial decomposition method resulted in the highest reduction of the total annual cost compared with other methods. Percentage of difference of the total annual cost were 0.36%, 1.92%, and 5.05% for full integration, total decomposition, and partial decomposition methods, respectively, in comparison with the previous studies. Results have been compared with the results of other studies to demonstrate the accuracy of the applied algorithms.

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Heat exchanger network retrofit throughout overall heat transfer coefficient by using genetic algorithm

Cited by 17 publications

References 14 publications

Transdisciplinarity in energy retrofit. A Conceptual Framework

Transdisciplinarity in energy retrofit. A Conceptual Framework

Utility Paths Combination in HEN for Energy Saving and CO2 Emission Reduction

Applying multiple decomposition methods and optimization techniques for achieving optimal cost in mixed materials heat exchanger networks

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