Heat and work integration: Fundamental insights and applications to carbon dioxide capture processes

Fu, Chao; Gundersen, Truls

doi:10.1016/j.enconman.2016.04.108

Cited by 48 publications

(35 citation statements)

References 35 publications

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“…However, WHENS problems are more challenging compared to individual HENS and work exchange network (WEN) problems [2]. Fu and Gundersen [12] defined a WHENS problem as follows: "Given a set of process streams with supply and target states (temperature and pressure), as well as utilities for power, heating and cooling; design a work and heat exchange network of heat transfer equipment such as heat exchangers, evaporators and condensers, as well as pressure-changing equipment such as compressors, expanders, pumps and valves, in such a way that the exergy consumption is minimized or the exergy production is maximized". Apart from exergy, other objectives of WHENS may include cost minimization, utility reduction, and equipment reduction.…”

Section: Introductionmentioning

confidence: 99%

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Building Block-Based Synthesis and Intensification of Work-Heat Exchanger Networks (WHENS)

Demirel

Hasan

2019

Processes

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We provide a new method to represent all potential flowsheet configurations for the superstructure-based simultaneous synthesis of work and heat exchanger networks (WHENS). The new representation is based on only two fundamental elements of abstract building blocks. The first design element is the block interior that is used to represent splitting, mixing, utility cooling, and utility heating of individual streams. The second design element is the shared boundaries between adjacent blocks that permit inter-stream heat and work transfer and integration. A semi-restricted boundary represents expansion/compression of streams connected to either common (integrated) or dedicated (utility) shafts. A completely restricted boundary with a temperature gradient across it represents inter-stream heat integration. The blocks interact with each other via mass and energy flows through the boundaries when assembled in a two-dimensional grid-like superstructure. Through observation and examples from literature, we illustrate that our building block-based WHENS superstructure contains numerous candidate flowsheet configurations for simultaneous heat and work integration. This approach does not require the specification of work and heat integration stages. Intensified designs, such as multi-stream heat exchangers with varying pressures, are also included. We formulate a mixed-integer non-linear (MINLP) optimization model for WHENS with minimum total annual cost and demonstrate the capability of the proposed synthesis approach through a case study on liquefied energy chain. The concept of building blocks is found to be general enough to be used in possible discovery of non-intuitive process flowsheets involving heat and work exchangers.

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Section: Introductionmentioning

confidence: 99%

“…Integration of process streams with the same supply and target temperatures Fu, Gundersen (2016c) [12] Graphical methodology using thermodynamic insights for WHENS CO 2 capture processes Onishi, Ravagnani, Caballero (2017) [43] Multi-objective optimization of WHENS using a multi-stage superstructure…”

Section: Introductionmentioning

confidence: 99%

Building Block-Based Synthesis and Intensification of Work-Heat Exchanger Networks (WHENS)

Demirel

Hasan

2019

Processes

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“…They proposed an exergy-driven heuristic approach called extended pinch analysis and design (ExPAnD). In a series of articles, Gundersen and coworkers [9][10][11][12][13][14][15][16] presented several insights to minimize exergy losses. In a series of articles, Gundersen and coworkers [9][10][11][12][13][14][15][16] presented several insights to minimize exergy losses.…”

Section: Introductionmentioning

confidence: 99%

“…Later, Wechsung et al 8 used the pressure manipulation routes predefined by ExPAnD and combined the pinch analysis, exergy analysis, and mathematical programing to minimize the external work/utilities or their costs. In a series of articles, Gundersen and coworkers [9][10][11][12][13][14][15][16] presented several insights to minimize exergy losses. Onishi et al 17 developed a generalized disjunctive programing (GDP)-based MINLP model for HENS with minimum TAC using the pressure manipulation routes suggested by Wechsung et al 8 They prohibited heat exchange between different instances of the same stream.…”

Section: Introductionmentioning

confidence: 99%

Framework for work‐heat exchange network synthesis (WHENS)

2018

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Work and heat are the two predominant forms of energy in the process industry. Considerable savings can be achieved by synergizing the work and heat requirements of process streams. A generalized framework for integrating heat and work simultaneously is proposed based on a mixed‐integer nonlinear programing model for work‐heat exchange network synthesis. Starting with a set of streams with known flows, temperatures, and pressures, a network of single‐shaft‐turbine‐compressors with motors/generators, valves, heat exchangers, and utility heaters/coolers is synthesized for minimized total annualized cost. In contrast to existing works, (1) streams are not preclassified as hot/cold or high/low pressure, (2) pressure changes are allowed for streams with no net pressure change, (3) liquid‐vapor phase changes are allowed, and (4) phase‐based property correlations are used. Successful application of our approach to C3 splitting yields a nonintuitive configuration. Another application of an offshore natural gas liquefaction process is also studied. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2472–2485, 2018

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“…Despite the studies on application of direct or indirect work exchangers, Fu and Gundersen investigated the relevance between heat and work integration . In their study, a graphical design procedure was presented for integrating compressors and expanders into HEN.…”

Section: Introductionmentioning

confidence: 99%

Prediction of maximum recoverable mechanical energy via work integration: A thermodynamic modeling and analysis approach

Amini‐Rankouhi

Huang

2017

AIChE Journal

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Thermal energy and mechanical energy are two common forms of energy consumed significantly in the process industries. While thermal energy can be effectively recovered using matured heat integration technologies, recovery of mechanical energy through work integration has not been fully explored. It is shown that work integration can be achieved through synthesizing work exchange networks (WENs), where work exchangers are operated in a batch mode, and compressors and expanders are operated in a continuous mode; this renders network synthesis a very sophisticated design task. It is greatly beneficial if the maximum amount of mechanical energy recoverable by a WEN can be determined prior to network design. In this article, we introduce a thermodynamic modeling and analysis method to identify accurately the maximum amount of recoverable mechanical energy of any process system of interest. The method is rigorous and general for target setting of mechanical energy recovery prior to WEN synthesis. © 2017 American Institute of Chemical Engineers AIChE J, 2017

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Heat and work integration: Fundamental insights and applications to carbon dioxide capture processes

Cited by 48 publications

References 35 publications

Building Block-Based Synthesis and Intensification of Work-Heat Exchanger Networks (WHENS)

Building Block-Based Synthesis and Intensification of Work-Heat Exchanger Networks (WHENS)

Framework for work‐heat exchange network synthesis (WHENS)

Prediction of maximum recoverable mechanical energy via work integration: A thermodynamic modeling and analysis approach

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