The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Paul I. Barton - One of the best experts on this subject based on the ideXlab platform.
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Natural Gas Production network infrastructure development under uncertainty
Optimization and Engineering, 2017Co-Authors: Xiang Li, Asgeir Tomasgard, Paul I. BartonAbstract:Mathematical programming has been widely applied for the planning of Natural Gas Production infrastructure development. As the Production infrastructure involves large investments and is expected to remain in operation over several decades, the factors that will impact the Gas Production but cannot be foreseen before the development of the infrastructure need to be taken into account in the planning. Therefore, two scenario-based two-stage stochastic programming models are developed to facilitate Natural Gas Production infrastructure development under uncertainty. One is called the stochastic pooling model, which tracks the qualities of Gas streams throughout the Production network via a generalized pooling model. The other is an enhancement of the stochastic pooling model with the consideration of pressure. Either model results in a large-scale nonconvex mixed-integer nonlinear programming (MINLP) problem, for which a global optimal solution, although very important for a problem that involves large investments, is very difficult to obtain. A novel optimization method, called nonconvex generalized Benders decomposition (NGBD), is developed for efficient global optimization of the large-scale nonconvex MINLP. Case studies of a real industrial Natural Gas Production system show the advantages of the proposed stochastic programming models over deterministic optimization models, as well as the dramatic computational advantages of NGBD over a state-of-the-art global optimization solver.
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stochastic pooling problem for Natural Gas Production network design and operation under uncertainty
Aiche Journal, 2011Co-Authors: Xiang Li, Emre Armagan, Asgeir Tomasgard, Paul I. BartonAbstract:Product quality and uncertainty are two important issues in the design and operation of Natural Gas Production networks. This paper presents a stochastic pooling problem optimization formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled with a multiscenario, two-stage stochastic recourse approach. In addition, multi-objective problems are handled via a hierarchical optimization approach. The advantages of the proposed formulation are demonstrated with case studies involving an example system based on Haverly’s pooling problem and a real industrial system. The stochastic pooling problem is a potentially large-scale nonconvex Mixed-Integer Nonlinear Program (MINLP), and a rigorous decomposition method developed recently is used to solve this problem. A computational study demonstrates the advantage of the decomposition method over a state-of-the-art branchand-reduce global optimizer, BARON. VC 2010 American Institute of Chemical Engineers AIChE J, 00: 000–000, 2010
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CDC - Decomposition strategy for Natural Gas Production network design under uncertainty
49th IEEE Conference on Decision and Control (CDC), 2010Co-Authors: Asgeir Tomasgard, Paul I. BartonAbstract:The use of Natural Gas for power generation has been rising rapidly in the past two decades [1]. To ensure the security of supply of Gas to the market and meet strict specifications on Gas quality (e.g., sulfur content), Natural Gas Production network design must address uncertainty explicitly as well as tracking the quality of each Gas flow in the entire system. This leads to the stochastic pooling problem [2], which is a (potentially large-scale) nonconvex mixed-integer nonlinear program (MINLP). This paper presents a rigorous, duality-based decomposition strategy to solve the stochastic pooling problem, which guarantees finding an e-optimal solution of the problem with a finite number of iterations. A case study involving a Gas Production network demonstrates the dramatic computational advantages of the decomposition method over a state-of-the-art global optimization method. The proposed method can be extended to tackle more general nonconvex MINLP problems, which may occur in the design of integrated energy systems involving fuel Production, power generation and electricity transmission [3].
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ACC - Long-term planning of Natural Gas Production systems via a stochastic pooling problem
Proceedings of the 2010 American Control Conference, 2010Co-Authors: Emre Armagan, Asgeir Tomasgard, Paul I. BartonAbstract:Product quality and uncertainty, e.g. of demand, quality etc., are two important issues in the long-term planning of Natural Gas Production systems. This paper presents a stochastic pooling problem formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled via a multi-scenario, two-stage stochastic recourse approach. The advantages of the proposed formulation are demonstrated with a Gas network planning problem case study. The stochastic pooling problem is a nonconvex Mixed-Integer Nonlinear Programming (MINLP) problem which is solved in this paper by a commercial MINLP solver, BARON [1]. The computational study shows that the solution time with BARON increases dramatically with the number of scenarios.
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a short term operational planning model for Natural Gas Production systems
Aiche Journal, 2008Co-Authors: Ajay Selot, Loi Kwong Kuok, Mark Robinson, Thomas L Mason, Paul I. BartonAbstract:A short-term operational planning model for Natural Gas Production systems can help identify a consistent operational policy that satisfies contractual rules and customer specifications. Formulating and solving such a model poses challenges due to nonlinear pressure-flowrate relations, a multicommodity network and complex Production-sharing contracts (PSC). A Production allocation model is presented that can be viewed as a contractual model superimposed on an infrastructure model. The infrastructure model incorporates nonlinear pressure-flowrate relationships for wells and pipelines, multiple qualities of Gas in the trunkline network and models of facilities. The contractual model is a mathematical representation of the PSC and associated operational rules. The model features are inspired by the Sarawak Gas Production System (SGPS) in East Malaysia. A case study similar to the Sarawak Gas Production System (SGPS) is presented. The final formulation is a nonconvex mixed-integer nonlinear program and is solved with GAMS/BARON to global optimality. A hierarchical multiobjective operational study is also presented. © 2007 American Institute of Chemical Engineers AIChE J, 2008
Asgeir Tomasgard - One of the best experts on this subject based on the ideXlab platform.
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Natural Gas Production network infrastructure development under uncertainty
Optimization and Engineering, 2017Co-Authors: Xiang Li, Asgeir Tomasgard, Paul I. BartonAbstract:Mathematical programming has been widely applied for the planning of Natural Gas Production infrastructure development. As the Production infrastructure involves large investments and is expected to remain in operation over several decades, the factors that will impact the Gas Production but cannot be foreseen before the development of the infrastructure need to be taken into account in the planning. Therefore, two scenario-based two-stage stochastic programming models are developed to facilitate Natural Gas Production infrastructure development under uncertainty. One is called the stochastic pooling model, which tracks the qualities of Gas streams throughout the Production network via a generalized pooling model. The other is an enhancement of the stochastic pooling model with the consideration of pressure. Either model results in a large-scale nonconvex mixed-integer nonlinear programming (MINLP) problem, for which a global optimal solution, although very important for a problem that involves large investments, is very difficult to obtain. A novel optimization method, called nonconvex generalized Benders decomposition (NGBD), is developed for efficient global optimization of the large-scale nonconvex MINLP. Case studies of a real industrial Natural Gas Production system show the advantages of the proposed stochastic programming models over deterministic optimization models, as well as the dramatic computational advantages of NGBD over a state-of-the-art global optimization solver.
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stochastic pooling problem for Natural Gas Production network design and operation under uncertainty
Aiche Journal, 2011Co-Authors: Xiang Li, Emre Armagan, Asgeir Tomasgard, Paul I. BartonAbstract:Product quality and uncertainty are two important issues in the design and operation of Natural Gas Production networks. This paper presents a stochastic pooling problem optimization formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled with a multiscenario, two-stage stochastic recourse approach. In addition, multi-objective problems are handled via a hierarchical optimization approach. The advantages of the proposed formulation are demonstrated with case studies involving an example system based on Haverly’s pooling problem and a real industrial system. The stochastic pooling problem is a potentially large-scale nonconvex Mixed-Integer Nonlinear Program (MINLP), and a rigorous decomposition method developed recently is used to solve this problem. A computational study demonstrates the advantage of the decomposition method over a state-of-the-art branchand-reduce global optimizer, BARON. VC 2010 American Institute of Chemical Engineers AIChE J, 00: 000–000, 2010
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Wiley Encyclopedia of Operations Research and Management Science - Using Operations Research to Plan Natural Gas Production and Transportation on the Norwegian Continental Shelf
Wiley Encyclopedia of Operations Research and Management Science, 2011Co-Authors: Vibeke Stærkebye Nørstebø, Peter Schütz, Marte Fodstad, Lars Hellemo, Kjetil Midthun, Frode Rømo, Asgeir TomasgardAbstract:Decisions regarding Natural Gas Production, processing, and transportation in interconnected networks depend on each other. Changes in the system affect both its capacity and flexibility. We discuss the main elements of the GassOpt model, an application developed to ensure optimal operation of this network by considering the complete system, its integration, and to provide valuable insights in the dependencies between the different system elements. The objective of GassOpt is to maximize the total flow of Natural Gas from the North Sea to the customers. The model determines the optimal routing, processing, and blending of Natural Gas ensuring that demand and quality constraints are satisfied. The application is used by Natural Gas producers and network operators to plan their activities, to evaluate the operational consequences of plans and investment decisions, and to maximize the value of their operations. Keywords: Natural Gas; Production and tranportation planning; GassOpt model
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CDC - Decomposition strategy for Natural Gas Production network design under uncertainty
49th IEEE Conference on Decision and Control (CDC), 2010Co-Authors: Asgeir Tomasgard, Paul I. BartonAbstract:The use of Natural Gas for power generation has been rising rapidly in the past two decades [1]. To ensure the security of supply of Gas to the market and meet strict specifications on Gas quality (e.g., sulfur content), Natural Gas Production network design must address uncertainty explicitly as well as tracking the quality of each Gas flow in the entire system. This leads to the stochastic pooling problem [2], which is a (potentially large-scale) nonconvex mixed-integer nonlinear program (MINLP). This paper presents a rigorous, duality-based decomposition strategy to solve the stochastic pooling problem, which guarantees finding an e-optimal solution of the problem with a finite number of iterations. A case study involving a Gas Production network demonstrates the dramatic computational advantages of the decomposition method over a state-of-the-art global optimization method. The proposed method can be extended to tackle more general nonconvex MINLP problems, which may occur in the design of integrated energy systems involving fuel Production, power generation and electricity transmission [3].
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ACC - Long-term planning of Natural Gas Production systems via a stochastic pooling problem
Proceedings of the 2010 American Control Conference, 2010Co-Authors: Emre Armagan, Asgeir Tomasgard, Paul I. BartonAbstract:Product quality and uncertainty, e.g. of demand, quality etc., are two important issues in the long-term planning of Natural Gas Production systems. This paper presents a stochastic pooling problem formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled via a multi-scenario, two-stage stochastic recourse approach. The advantages of the proposed formulation are demonstrated with a Gas network planning problem case study. The stochastic pooling problem is a nonconvex Mixed-Integer Nonlinear Programming (MINLP) problem which is solved in this paper by a commercial MINLP solver, BARON [1]. The computational study shows that the solution time with BARON increases dramatically with the number of scenarios.
David T. Allen - One of the best experts on this subject based on the ideXlab platform.
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methane emissions from process equipment at Natural Gas Production sites in the united states pneumatic controllers
Environmental Science & Technology, 2015Co-Authors: David T. Allen, David W Sullivan, Daniel A Hill, Matthew P Fraser, Adam P. Pacsi, Daniel Zavalaaraiza, Matthew Harrison, Kindal Keen, Robert F SawyerAbstract:Emissions from 377 Gas actuated (pneumatic) controllers were measured at Natural Gas Production sites and a small number of oil Production sites, throughout the United States. A small subset of the devices (19%), with whole Gas emission rates in excess of 6 standard cubic feet per hour (scf/h), accounted for 95% of emissions. More than half of the controllers recorded emissions of 0.001 scf/h or less during 15 min of measurement. Pneumatic controllers in level control applications on separators and in compressor applications had higher emission rates than controllers in other types of applications. Regional differences in emissions were observed, with the lowest emissions measured in the Rocky Mountains and the highest emissions in the Gulf Coast. Average methane emissions per controller reported in this work are 17% higher than the average emissions per controller in the 2012 EPA greenhouse Gas national emission inventory (2012 GHG NEI, released in 2014); the average of 2.7 controllers per well observed ...
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methane emissions from process equipment at Natural Gas Production sites in the united states liquid unloadings
Environmental Science & Technology, 2015Co-Authors: David T. Allen, David W Sullivan, Daniel A Hill, Matthew P Fraser, Adam P. Pacsi, Daniel Zavalaaraiza, Matthew Harrison, Kindal Keen, Brian LambAbstract:Methane emissions from liquid unloadings were measured at 107 wells in Natural Gas Production regions throughout the United States. Liquid unloadings clear wells of accumulated liquids to increase Production, employing a variety of liquid lifting mechanisms. In this work, wells with and without plunger lifts were sampled. Most wells without plunger lifts unload less than 10 times per year with emissions averaging 21 000–35 000 scf methane (0.4–0.7 Mg) per event (95% confidence limits of 10 000–50 000 scf/event). For wells with plunger lifts, emissions averaged 1000–10 000 scf methane (0.02–0.2 Mg) per event (95% confidence limits of 500–12 000 scf/event). Some wells with plunger lifts are automatically triggered and unload thousands of times per year and these wells account for the majority of the emissions from all wells with liquid unloadings. If the data collected in this work are assumed to be representative of national populations, the data suggest that the central estimate of emissions from unloadin...
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Atmospheric Hydrocarbon Emissions and Concentrations in the Barnett Shale Natural Gas Production Region
Environmental science & technology, 2014Co-Authors: Daniel Zavala-araiza, David W Sullivan, David T. AllenAbstract:Hourly ambient hydrocarbon concentration data were collected, in the Barnett Shale Natural Gas Production Region, using automated Gas chromatography (auto-GC), for the period from April 2010 to December 2011. Data for three sites were compared: a site in the geographical center of the Natural Gas Production region (Eagle Mountain Lake (EML)); a rural/suburban site at the periphery of the Production region (Flower Mound Shiloh), and an urban site (Hinton). The dominant hydrocarbon species observed in the Barnett Shale region were light alkanes. Analyses of daily, monthly, and hourly patterns showed little variation in relative composition. Observed concentrations were compared to concentrations predicted using a dispersion model (AERMOD) and a spatially resolved inventory of volatile organic compounds (VOC) emissions from Natural Gas Production (Barnett Shale Special Emissions Inventory) prepared by the Texas Commission on Environmental Quality (TCEQ), and other emissions information. The predicted concent...
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Atmospheric emissions and air quality impacts from Natural Gas Production and use.
Annual review of chemical and biomolecular engineering, 2014Co-Authors: David T. AllenAbstract:The US Energy Information Administration projects that hydraulic fracturing of shale formations will become a dominant source of domestic Natural Gas supply over the next several decades, transforming the energy landscape in the United States. However, the environmental impacts associated with fracking for shale Gas have made it controversial. This review examines emissions and impacts of air pollutants associated with shale Gas Production and use. Emissions and impacts of greenhouse Gases, photochemically active air pollutants, and toxic air pollutants are described. In addition to the direct atmospheric impacts of expanded Natural Gas Production, indirect effects are also described. Widespread availability of shale Gas can drive down Natural Gas prices, which, in turn, can impact the use patterns for Natural Gas. Natural Gas Production and use in electricity generation are used as a case study for examining these indirect consequences of expanded Natural Gas availability.
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Methane emissions from Natural Gas Production and use: Reconciling bottom-up and top-down measurements
Current Opinion in Chemical Engineering, 2014Co-Authors: David T. AllenAbstract:Methane emissions from the Natural Gas supply chain are a key factor in determining the greenhouse Gas footprint of Natural Gas Production and use. Recent estimates of these emissions have varied widely, because of the large population of sources, because of different measurement and estimation approaches, and because of extreme values of emission rates from individual sources that are much larger than population average values of emission rates from sources in the same category (a ‘fat-tail’ distribution). Reconciling differences between ambient methane concentration measurements (top-down methods) and direct measurement of emissions from individual sources (bottom-up methods) is critical to understanding methane emissions from the Natural Gas supply chain. A combination of top-down and bottom-up approaches is recommended.
Emre Armagan - One of the best experts on this subject based on the ideXlab platform.
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stochastic pooling problem for Natural Gas Production network design and operation under uncertainty
Aiche Journal, 2011Co-Authors: Xiang Li, Emre Armagan, Asgeir Tomasgard, Paul I. BartonAbstract:Product quality and uncertainty are two important issues in the design and operation of Natural Gas Production networks. This paper presents a stochastic pooling problem optimization formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled with a multiscenario, two-stage stochastic recourse approach. In addition, multi-objective problems are handled via a hierarchical optimization approach. The advantages of the proposed formulation are demonstrated with case studies involving an example system based on Haverly’s pooling problem and a real industrial system. The stochastic pooling problem is a potentially large-scale nonconvex Mixed-Integer Nonlinear Program (MINLP), and a rigorous decomposition method developed recently is used to solve this problem. A computational study demonstrates the advantage of the decomposition method over a state-of-the-art branchand-reduce global optimizer, BARON. VC 2010 American Institute of Chemical Engineers AIChE J, 00: 000–000, 2010
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ACC - Long-term planning of Natural Gas Production systems via a stochastic pooling problem
Proceedings of the 2010 American Control Conference, 2010Co-Authors: Emre Armagan, Asgeir Tomasgard, Paul I. BartonAbstract:Product quality and uncertainty, e.g. of demand, quality etc., are two important issues in the long-term planning of Natural Gas Production systems. This paper presents a stochastic pooling problem formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled via a multi-scenario, two-stage stochastic recourse approach. The advantages of the proposed formulation are demonstrated with a Gas network planning problem case study. The stochastic pooling problem is a nonconvex Mixed-Integer Nonlinear Programming (MINLP) problem which is solved in this paper by a commercial MINLP solver, BARON [1]. The computational study shows that the solution time with BARON increases dramatically with the number of scenarios.
Martin Agelin-chaab - One of the best experts on this subject based on the ideXlab platform.
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A critical review of synthetic Natural Gas Production techniques and technologies
Journal of Natural Gas Science and Engineering, 2020Co-Authors: Andre Bolt, Ibrahim Dincer, Martin Agelin-chaabAbstract:Abstract This paper provides a critical review of renewable and non-renewable synthetic Natural Gas Production processes, technologies, and catalysts used to enhance the methanation processes. By completing this review, researchers have successfully provided a road-map for synthetic Natural Gas Production research, as well as describing the current landscape for synthetic Natural Gas Production, particularly within Canada and the United States. In addition, the tropose recycle energy efficient methanation process proved to be highly beneficial due to the fact that this process was considered to be energy-efficient, economically viable, and was capable of producing a yield of up to 98%. Furthermore, nickel was considered to be a highly favourable choice as a catalyst to facilitate the methanation process, given its high activity and selectivity ranking and low cost. Moreover, the fixed-bed reactor systems were determined to be a common choice for synthetic Natural Gas Production due to their simple and effective design. However, honeycomb reactors and microchannel reactors were considered more favourable in regards to catalysts exposure within the rectors.
