Robust investment model for long-range capacity expansion of chemical processing networks under uncertain demand forecast scenarios

Bok, Jin-Kwang; Lee, Heeman; Park, Sunwon

doi:10.1016/s0098-1354(97)00274-3

Cited by 56 publications

(43 citation statements)

References 9 publications

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“…An early work in PSE by Bok et al, 155 which drew inspiration from the Nobel Prize winning work of Markowitz's mean-variance model [156][157] and the robust stochastic programming approach of Mulvey et al, 158 involves risk management using variance as applied Koppol and Bagajewicz 47 address uncertainty in water network synthesis by simultaneously considering risk management. In fact, this work precedes a series of papers by Bagajewicz and coworkers in proposing the probabilistic financial risk metric that is defined based on cumulative probability distributions.…”

mentioning

confidence: 99%

Optimization of Water Network Synthesis for Single-Site and Continuous Processes: Milestones, Challenges, and Future Directions

Khor

Chachuat

Shah

2014

Ind. Eng. Chem. Res.

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9 10Increasing water demand in the process and its allied industries coupled with global water stress 11 and scarcity has underlined the importance of water as a crucial resource and elevated a need for 12 widespread adoption of water reuse and recycle. This paper provides a state-of-the-art review of 13 the area of water network synthesis focusing on single-site continuous process problems since its 14 inception in the 1980s. The survey centers around model-based optimization or mathematical 15 programming methods for water network synthesis and covers key findings from the water pinch 16 analysis technique, which are often essential in enhancing model formulations. Major modeling 17 and computational challenges are discussed that explore the issues of nonconvexity, nonlinearity, 18 and uncertainty inherent in

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confidence: 99%

Optimization of Water Network Synthesis for Single-Site and Continuous Processes: Milestones, Challenges, and Future Directions

Khor

Chachuat

Shah

2014

Ind. Eng. Chem. Res.

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“…Still at the production planning level, Liu and Sahinidis (1997) presented a fuzzy programming approach for solving a petrochemical complex problem involving uncertainty in model parameters. Bok, Lee, and Park (1998) addressed the problem of long-range capacity expansion planning for a petrochemical industry.…”

Section: Petroleum Supply Chainmentioning

confidence: 99%

A general modeling framework for the operational planning of petroleum supply chains

Neiro

Pinto

2004

Computers & Chemical Engineering

220

118

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In the literature, optimization models deal with planning and scheduling of several subsystems of the petroleum supply chain such as oilfield infrastructure, crude oil supply, refinery operations and product transportation. The focus of the present work is to propose a general framework for modeling petroleum supply chains. As a starting point, processing units are modeled based on the framework developed by Pinto et al. [Computers and Chemical Engineering 24 (2000) 2259]. Particular frameworks are then proposed to storage tanks and pipelines. Nodes of the chain are considered as grouped elementary entities that are interconnected by intermediate streams. The complex topology is then built by connecting the nodes representing refineries, terminals and pipeline networks. Decision variables include stream flow rates, properties, operational variables, inventory and facilities assignment. The resulting multiperiod model is a large-scale MINLP. The proposed model is applied to a real-world corporation and results show model performance by analyzing different scenarios.

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“…Although the industry is growing (around 4.5% per year [1]), it currently faces two significant challenges. First, the price of crude oil is now quite high-currently almost six times the price it was in early 1999 (adjusting for inflation).…”

Section: Introductionmentioning

confidence: 99%

Co-Production of Olefins, Fuels, and Electricity from Conventional Pipeline Gas and Shale Gas with Near-Zero CO2 Emissions. Part I: Process Development and Technical Performance

Salkuyeh

Adams

2015

Energies

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Abstract:A novel polygeneration process is presented in this paper that co-produces olefins, methanol, dimethyl ether, and electricity from conventional pipeline natural gas and different kinds of shale gases. Technical analyses of many variants of the process are performed, considering differences in power generation strategy and gas type. The technical analysis results show that the efficiency of the plant varies between 22%-57% (HHV) depending on the product portfolio. The efficiency is higher than a traditional methanol-to-olefin process, which enables it to be competitive with traditional naphtha cracking plants.

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Robust investment model for long-range capacity expansion of chemical processing networks under uncertain demand forecast scenarios

Cited by 56 publications

References 9 publications

Optimization of Water Network Synthesis for Single-Site and Continuous Processes: Milestones, Challenges, and Future Directions

Optimization of Water Network Synthesis for Single-Site and Continuous Processes: Milestones, Challenges, and Future Directions

A general modeling framework for the operational planning of petroleum supply chains

Co-Production of Olefins, Fuels, and Electricity from Conventional Pipeline Gas and Shale Gas with Near-Zero CO2 Emissions. Part I: Process Development and Technical Performance

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