Simulation-based optimization and design of refinery hydrogen networks with hydrogen sulfide removal

Yang, Minbo; Feng, Xiao

doi:10.1016/j.ijhydene.2019.07.108

Cited by 17 publications

(5 citation statements)

References 41 publications

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“…To satisfy the hydrogen demand, refineries usually build specialized hydrogen production facilities or rely on purchased high-purity hydrogen. With crude oil tending to be heavier and sourer but fuel oils tending to be cleaner, hydrogen demands in refineries are notably increasing, which eventually rises the operating and capital costs. , The optimal design of refinery hydrogen networks is one of the effective approaches to deal with the hydrogen problem by maximizing the reuse of hydrogen sources to reduce the fresh hydrogen consumption and power cost of hydrogen compressors. Since the integration of hydrogen networks was proposed, it has attracted much attention and research from many scholars.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Refinery Hydrogen Networks: Reduced Superstructure and Effective Algorithm

Zhou

Feng

et al. 2022

Ind. Eng. Chem. Res.

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In refinery hydrogen networks, the cost related to hydrogen compressors is the second largest contributor to the total annualized cost (TAC). The optimal synthesis of hydrogen networks considering compressor arrangement is a computationally difficult optimization problem because of the highly nonlinear terms caused by hydrogen compression. In this study, a reduced superstructure for optimal design of hydrogen networks is first developed based on several heuristics. This reduced superstructure includes all possible connections among hydrogen sources, hydrogen sinks, and compressors. The maximum number of compressors is reduced dramatically, and the inlet and outlet pressures of all compressors can be preassigned, which notably reduces the bilinear terms and completely eliminates the linear fractional terms in the mathematical model. A mixed-integer nonlinear programming (MINLP) model is formulated, and a tailored algorithm that incorporates successive piecewise linear approximation of concave terms and linear relaxation of bilinear terms is proposed. The case studies show that the proposed model and algorithm can give better hydrogen network designs with only 2.9 and 4.9% of the computational time in the existing publication.

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Section: Introductionmentioning

confidence: 99%

Optimal Design of Refinery Hydrogen Networks: Reduced Superstructure and Effective Algorithm

Zhou

Feng

et al. 2022

Ind. Eng. Chem. Res.

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“…Besides these mathematical model-based optimization approaches, simulation-based work has also been performed. Yang and Feng 34 employed simulation and mathematical model-based hydrogen network optimization with sulfur removal for hydrogen conservation and cost minimization. Recently, Deng et al 35 introduced simulation for light hydrocarbon recovery and saved hydrogen production cost through pinch analysis.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Modeling-Based Refinery Hydrogen Network Integration with Process Risk Analysis

Zhang

Fang

Feng

2021

Ind. Eng. Chem. Res.

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Hydrogen network integration is a crucial way to achieve resource conservation and cost reduction of refinery and it is performed on quantitative and thermodynamic properties of hydrogen streams subject to process operation and thermodynamic principles. A combined methodology of process simulation and mathematical modeling is optimal to account for process operation and integration of hydrogen networks. In this paper, process simulation of a flash separator is employed to obtain quantitative and thermodynamic properties of hydrogen streams under variational flash pressure (FP), and a mixed-integer nonlinear programming model is established to minimize the total exergy of hydrogen networks. A practical refinery case with different-quality crude oil is investigated, and the results indicate that flash pressure is the risk factor and should be in the feasible region no larger than the process operation and no less than the critical level for integration. Quantitatively, the critical level of FP for high-pressure sk1 is 17.42 MPa and will be increased to 17.57 MPa by inferior crude oil and decreased to 16.76 MPa by superior oil feedstock. Similarly, in the case of sk4, it is 6.14 MPa and increased to 6.29 MPa and decreased to 5.52 MPa. As a result, the crude oil feed of sk4 in case 2 is in the risk region already, and flash pressure should be adjusted. This work shows great progress in hydrogen network integration with risk analysis for future applications.

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“…Other researchers followed and proposed refined methods based on the same approach (Alves and Towler, 2002;Elsherif et al, 2015;Shariati et al, 2013). Another predominant approach towards network management and design is through mathematical programming, which fundamentally leads to a MINLP problem unless simplifications are implemented, for examples refer to (Girardin et al, 2006;Jia and Zhang, 2011;Jiao et al, 2012a;Kumar et al, 2010;Lou et al, 2014;Yang and Feng, 2019). I focus the attention on the mathematical programming approach as it is the most relevant to mathematical models used in decision-making.…”

Section: Overview Of Hydrogen Network Managementmentioning

confidence: 99%

“…Unfortunately, they do not present clear figures on the optimality gaps of their results or computation times which are instrumental in assessing the likelihood of implementation in actual refineries. Yang and Feng (2019) address the design problem accounting hydrogen sulfide (H 2 S) removal sections of hydrodesulfurization units, they demonstrate that this approach leads to interesting results. Basically, different combinations of H 2 S removal columns give additional room for optimization, where sharing of columns proves beneficial in some cases considered.…”

Section: Overview On Mathematical Programming In Hydrogen Networkmentioning

confidence: 99%

“…Nonetheless, most examples would use simulation as a means to support rigorous mathematical modeling (Chen et al, 2015;Halim and Srinivasan, 2011;Yang and Feng, 2019) and forecasting complex processes (Galan et al, 2019a;Pablos et al, 2019;Suvarna et al, 2019). Most likely these features will be combined with one or more optimization techniques (Biegler et al, 2002), which in the end help making decisions towards process operation and design.…”

Section: Optimizationmentioning

confidence: 99%

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Simulation and optimization methods as decision support tools for operation of oil refinery hydrogen networks.

Prado¹,

Santiago²

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The process industry has been at the forefront of manufacturing technology advances, systematically aiming for sustainable process improvements. Generally, improvements come as a result of decision-making processes which may be backed on information from various sources. In fact, decision making in manufacturing operations is indeed complex, as it accounts for different scopes and timescales depending on the aimed activities ranging from strategic business management decisions (long term decisions) to basic regulatory control of the process (automatic actions). Despite that, actual deployment of integrated decision support systems remains atypical in process industries, which constraints the potential of optimal operation of assets. This thesis focuses primarily on advanced and supervisory control tools, which typically translates into plant-wide decisions at timescales from minutes (advanced control) to hours (supervisory control).

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Simulation-based optimization and design of refinery hydrogen networks with hydrogen sulfide removal

Cited by 17 publications

References 41 publications

Optimal Design of Refinery Hydrogen Networks: Reduced Superstructure and Effective Algorithm

Optimal Design of Refinery Hydrogen Networks: Reduced Superstructure and Effective Algorithm

Simulation and Modeling-Based Refinery Hydrogen Network Integration with Process Risk Analysis

Simulation and optimization methods as decision support tools for operation of oil refinery hydrogen networks.

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