Large‐scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization

Pavão, Leandro V.; Costa, Caliane Bastos Borba; Ravagnani, Mauro A.S.S.; Jiménez, Laureano

doi:10.1002/aic.15524

Cited by 70 publications

(47 citation statements)

References 66 publications

(126 reference statements)

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“…The solution algorithm used here is based on the Simulated Annealing/Rocket Fireworks Optimization [38] (SA-RFO), which was originally developed for the synthesis of HEN and further re-worked into a WHEN synthesis version [31]. SA-RFO is a two-level optimization method whose "levels", in the latter version, are: In-depth descriptions of the meta-heuristic concepts behind the methodology are presented in previous works [31,38]. Here, we highlight the main improvements that were carried out in this new version.…”

Section: Solution Methods Remarksmentioning

confidence: 99%

An extended method for work and heat integration considering practical operating constraints

Pavão

Ravagnani

Costa

2020

Energy Conversion and Management

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The development of methodologies for the simultaneous work and heat integration has increasingly been the focus of recent research. Approaches may vary among optimization and heuristic-based methods considering direct and indirect work exchange, in addition to, or with the development of new strategies for heat recovery. This work presents a strategy for the synthesis of work and heat exchanger networks (WHEN) considering the use of single-shaft-turbinecompressor (SSTC) units. The method is based on a meta-heuristic approach and aims fundamentally at synthesizing WHEN that may operate within industrial-like conditions, which are often narrower than those considered in the literature due to simplification assumptions. Therefore, in the present work, practical temperature upper/lower-bound constraints are considered for pressure manipulation units, and the number of coupled units per shaft is limited. Evidently, these constraints yield additional difficulties for the optimization method. Therefore, new calculation blocks are included in a previous block-based model. The method considers inlet and outlet temperatures as decision variables, making the maintenance of solutions within feasible range more efficient during the optimization runs. Moreover, a new Simulated Annealing (SA) based strategy is developed for deciding optimal compressor/turbine couplings in a model that considers a preset number of "slots" per shaft. The method aims at minimizing total annual costs (TAC) and is tested over four case studies. The first two are used both as benchmark for TAC comparison to those reported in the literature as well as for testing the new constraints. The other two cases are investigated for TAC and energy-wise improvements to original designs. Considerable economic improvements and better use of energy are attained in all cases. The method also proved efficient in maintaining solutions within practical operating ranges.

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Section: Solution Methods Remarksmentioning

confidence: 99%

An extended method for work and heat integration considering practical operating constraints

Pavão

Ravagnani

Costa

2020

Energy Conversion and Management

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“…Detailed descriptions of these parameters as well as specific information on SA and PSO mechanisms may be found in those works (e.g., Refs. [39,40]).…”

Section: Solution Approachmentioning

confidence: 99%

A pinch-based method for defining pressure manipulation routes in work and heat exchange networks

Pavão

Ravagnani

Costa

2020

Renewable and Sustainable Energy Reviews

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Academic attention to work and heat integration (WHI) has grown in the last decade.Simultaneous models for work and heat exchanger network (WHEN) synthesis often derive from heat integration (HI) frameworks. However, it can be noted that the solution of simultaneous optimization models for WHI is considerably more complex than in the HI case. The design of efficient pressure manipulation routes (i.e., allocation and sizing of compression and expansion machinery) in process streams prior to heat exchange match allocation can make the optimization procedure more efficient. This work proposes a systematic procedure based on a model that employs Pinch Analysis concepts for defining these routes based on capital and operating cost targets. The solution approach is a hybrid meta-heuristic method based on Simulated Annealing (SA) and Particle Swarm Optimization (PSO). The obtained routes are then converted into a HI problem by fixing pressure changer sizes. The detailed HI solution is finally transferred into a WHI optimization model as initial design. In the two tackled examples, the total annual costs (TAC) predicted by the Pinch-based model differed in 0.5% and 1.2% from the final optimized WHEN obtained in the detailed WHI framework.

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“…Peng and Cui (2015) applied a GA approach for the HEN structure and a continuous SA (CSA) adaptation to the continuous variables (heat duties) in a superstructure based on SYNHEAT but with no stream splits. Pavão et al (2017a) employed SA to the structure level and a hybrid CSA/particle swarm optimization (PSO) approach to the continuous level, which was called rocket fireworks optimization (RFO). The superstructure used was the stage-wise superstructure from SYNHEAT but without the isothermal mixing assumption.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sequential Approach for the Design of Heat Exchanger Networks

Pavão¹,

Costa²,

Ravagnani³

2021

Front. Chem. Eng.

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This paper presents a new algorithm for the design of heat exchanger networks (HEN) that tries to take advantage of the strengths of the sequential and simultaneous approaches. It is divided into two sequential parts. The first one is an adaptation of the transportation model (TransHEN). It maintains the concept of temperature intervals and considers the possibility of heat transfer between all the hot and cold streams inside those intervals, and at the same time it allows the a priori calculation of the logarithmic mean temperature difference between all possible heat exchanges, and therefore it maintains the area estimation linear in the model. The second step (HENDesign model), uses a superstructure that contains all the possible alternatives in which the matches predicted by the first stage model can exchange heat to design the final heat exchanger network. Unlike the sequential approach, in this model, all heat flows, temperatures, areas, etc. are reoptimized maintaining the set of matches predicted in the first stage. The model is highly nonlinear and nonconvex, however, it is relatively easy to get good results, because the model starts with the values predicted by the TransHEN model. The algorithm has been tested using fifteen benchmark problems commonly used in literature to compare the performance of heat exchanger network algorithms. In eleven out of the fifteen cases present better or equal results than the best ones reported in the open literature. In three the results presented only marginal differences in total annualized cost (lower than 0.5%) and only a difference of 2.4% in the largest one.

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Large‐scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization

Cited by 70 publications

References 66 publications

An extended method for work and heat integration considering practical operating constraints

An extended method for work and heat integration considering practical operating constraints

A pinch-based method for defining pressure manipulation routes in work and heat exchange networks

A Novel Sequential Approach for the Design of Heat Exchanger Networks

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