The Experts below are selected from a list of 42480 Experts worldwide ranked by ideXlab platform
Anna Nagurney - One of the best experts on this subject based on the ideXlab platform.
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Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains
Optimization in the Energy Industry, 2009Co-Authors: Trisha Woolley, Anna Nagurney, John K StranlundAbstract:In this paper, we consider Electric Power Supply chain networks in which the Power generators have distinct Power plants and associated technologies and we develop a model of tradable pollution permits in the case of multiple pollutants and spatially distinct receptor points. We formulate the governing equilibrium conditions as a finite-dimensional variational inequality and demonstrate that, under the proposed multipollutant permit trading scheme, the environmental standards are achieved. Finally, we describe a computational procedure that exploits the structure of the problem. We also present numerical examples.
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dynamic Electric Power Supply chains and transportation networks an evolutionary variational inequality formulation
Transportation Research Part E-logistics and Transportation Review, 2007Co-Authors: Anna Nagurney, Monicagabriela Cojocaru, Patrizia DanieleAbstract:In this paper, we develop a static Electric Power Supply chain network equilibrium model with known demands and establish the equivalence between the model and a transportation network equilibrium model with fixed demands over an appropriately constructed supernetwork. This equivalence yields a new interpretation of Electric Power Supply chain network equilibria in path flows. We then exploit this equivalence to propose a dynamic Electric Power Supply chain network model in which the demand varies over time using an evolutionary variational inequality formulation. Finally, we demonstrate how numerical dynamic Electric Power Supply chain network problems can be solved utilizing recently obtained theoretical results in the unification of evolutionary variational inequalities and projected dynamical systems.
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Modeling of Electric Power Supply chain networks with fuel suppliers via variational inequalities
International Journal of Emerging Electric Power Systems, 2007Co-Authors: Dmytro Matsypura, Anna Nagurney, Zugang LiuAbstract:The Electric Power industry in the United States and in other countries is undergoing profound regulatory and operational changes. The underlying rationale behind these transformations is to move once highly monopolized vertically-integrated industry from a centralized operation approach to a competitive one. The emerging competitive markets and an increase in the number of market participants have, in turn, fundamentally changed not only Electricity trading patterns but also the structure of the Electric Power Supply chains. This new framework requires new mathematical and engineering models and associated algorithmic tools. Moreover, the availability of fuels for Electric Power generation is a topic of both economic importance and national security. This paper uses the model developed by Nagurney and Matsypura (2004, 2006) as the foundation for the introduction of explicit fuel suppliers, in the case of nonrenewable and/or renewable fuels, and their optimizing behavior, into a general Electric Power Supply chain network model along with "direct-Supply" generation. We derive the optimality conditions for the various decision-makers, including fuel suppliers, Power generators, suppliers, as well as the transmission service providers and the consumers at the demand markets. We establish that the governing equilibrium conditions satisfy a finite-dimensional variational inequality problem. We provide qualitative properties of the equilibrium flow pattern; in particular, existence of a solution and uniqueness under suitable assumptions. Finally, we discuss how the equilibrium fuel Supply and Electric Power flow pattern can be computed.
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Modeling of Electric Power Supply Chain Networks with Fuel Suppliers via
2007Co-Authors: Dmytro Matsypura, Anna Nagurney, Zugang LiuAbstract:The Electric Power industry in the United States and in other countries is undergoing profound regulatory and operational changes. The underlying rationale behind these transforma- tions is to move once highly monopolized vertically-integrated industry from a centralized operation approach to a competitive one. The emerging competitive markets and an increase in the number of market participants have, in turn, fundamentally changed not only Electricity trading patterns but also the structure of the Electric Power Supply chains. This new framework requires new math- ematical and engineering models and associated algorithmic tools. Moreover, the availability of fuels for Electric Power generation is a topic of both economic importance and national security. This paper uses the model developed by Nagurney and Matsypura (2004, 2006) as the foundation for the introduction of explicit fuel suppliers, in the case of nonrenewable and/or renewable fuels, and their optimizing behavior, into a general Electric Power Supply chain network model along with 'direct-Supply' generation. We derive the optimality conditions for the various decision-makers, including fuel suppliers, Power generators, suppliers, as well as the transmission service providers and the consumers at the demand markets. We establish that the governing equilibrium conditions satisfy a finite-dimensional variational inequality problem. We provide qualitative properties of the equilibrium flow pattern; in particular, existence of a solution and uniqueness under suitable assumptions. Finally, we discuss how the equilibrium fuel Supply and Electric Power flow pattern can be computed.
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modeling generator Power plant portfolios and pollution taxes in Electric Power Supply chain networks a transportation network equilibrium transformation
Transportation Research Part D-transport and Environment, 2006Co-Authors: Kai Wu, Anna Nagurney, Zugang Liu, John K StranlundAbstract:Global climate change and fuel security risks have encouraged international and regional adoption of pollution/carbon taxes. A major portion of such policy interventions is directed at the Electric Power industry with taxes applied according to the type of fuel used by the Power generators in their Power plants. This paper proposes an Electric Power Supply chain network model that captures the behavior of Power generators faced with a portfolio of Power plant options and subject to pollution taxes. We demonstrate that this general model can be reformulated as a transportation network equilibrium model with elastic demands and qualitatively analyzed and solved as such. The connections between these two different modeling schemas is done through finite-dimensional variational inequality theory. The numerical examples illustrate how changes in the pollution/carbon taxes affect the equilibrium Electric Power Supply chain network production outputs, the transactions between the various decision-makers the demand market prices, as well as the total amount of carbon emissions generated.
John K Stranlund - One of the best experts on this subject based on the ideXlab platform.
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Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains
Optimization in the Energy Industry, 2009Co-Authors: Trisha Woolley, Anna Nagurney, John K StranlundAbstract:In this paper, we consider Electric Power Supply chain networks in which the Power generators have distinct Power plants and associated technologies and we develop a model of tradable pollution permits in the case of multiple pollutants and spatially distinct receptor points. We formulate the governing equilibrium conditions as a finite-dimensional variational inequality and demonstrate that, under the proposed multipollutant permit trading scheme, the environmental standards are achieved. Finally, we describe a computational procedure that exploits the structure of the problem. We also present numerical examples.
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modeling generator Power plant portfolios and pollution taxes in Electric Power Supply chain networks a transportation network equilibrium transformation
Transportation Research Part D-transport and Environment, 2006Co-Authors: Kai Wu, Anna Nagurney, Zugang Liu, John K StranlundAbstract:Global climate change and fuel security risks have encouraged international and regional adoption of pollution/carbon taxes. A major portion of such policy interventions is directed at the Electric Power industry with taxes applied according to the type of fuel used by the Power generators in their Power plants. This paper proposes an Electric Power Supply chain network model that captures the behavior of Power generators faced with a portfolio of Power plant options and subject to pollution taxes. We demonstrate that this general model can be reformulated as a transportation network equilibrium model with elastic demands and qualitatively analyzed and solved as such. The connections between these two different modeling schemas is done through finite-dimensional variational inequality theory. The numerical examples illustrate how changes in the pollution/carbon taxes affect the equilibrium Electric Power Supply chain network production outputs, the transactions between the various decision-makers the demand market prices, as well as the total amount of carbon emissions generated.
Patrizia Daniele - One of the best experts on this subject based on the ideXlab platform.
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dynamic Electric Power Supply chains and transportation networks an evolutionary variational inequality formulation
Transportation Research Part E-logistics and Transportation Review, 2007Co-Authors: Anna Nagurney, Monicagabriela Cojocaru, Patrizia DanieleAbstract:In this paper, we develop a static Electric Power Supply chain network equilibrium model with known demands and establish the equivalence between the model and a transportation network equilibrium model with fixed demands over an appropriately constructed supernetwork. This equivalence yields a new interpretation of Electric Power Supply chain network equilibria in path flows. We then exploit this equivalence to propose a dynamic Electric Power Supply chain network model in which the demand varies over time using an evolutionary variational inequality formulation. Finally, we demonstrate how numerical dynamic Electric Power Supply chain network problems can be solved utilizing recently obtained theoretical results in the unification of evolutionary variational inequalities and projected dynamical systems.
Zugang Liu - One of the best experts on this subject based on the ideXlab platform.
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Modeling of Electric Power Supply chain networks with fuel suppliers via variational inequalities
International Journal of Emerging Electric Power Systems, 2007Co-Authors: Dmytro Matsypura, Anna Nagurney, Zugang LiuAbstract:The Electric Power industry in the United States and in other countries is undergoing profound regulatory and operational changes. The underlying rationale behind these transformations is to move once highly monopolized vertically-integrated industry from a centralized operation approach to a competitive one. The emerging competitive markets and an increase in the number of market participants have, in turn, fundamentally changed not only Electricity trading patterns but also the structure of the Electric Power Supply chains. This new framework requires new mathematical and engineering models and associated algorithmic tools. Moreover, the availability of fuels for Electric Power generation is a topic of both economic importance and national security. This paper uses the model developed by Nagurney and Matsypura (2004, 2006) as the foundation for the introduction of explicit fuel suppliers, in the case of nonrenewable and/or renewable fuels, and their optimizing behavior, into a general Electric Power Supply chain network model along with "direct-Supply" generation. We derive the optimality conditions for the various decision-makers, including fuel suppliers, Power generators, suppliers, as well as the transmission service providers and the consumers at the demand markets. We establish that the governing equilibrium conditions satisfy a finite-dimensional variational inequality problem. We provide qualitative properties of the equilibrium flow pattern; in particular, existence of a solution and uniqueness under suitable assumptions. Finally, we discuss how the equilibrium fuel Supply and Electric Power flow pattern can be computed.
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Modeling of Electric Power Supply Chain Networks with Fuel Suppliers via
2007Co-Authors: Dmytro Matsypura, Anna Nagurney, Zugang LiuAbstract:The Electric Power industry in the United States and in other countries is undergoing profound regulatory and operational changes. The underlying rationale behind these transforma- tions is to move once highly monopolized vertically-integrated industry from a centralized operation approach to a competitive one. The emerging competitive markets and an increase in the number of market participants have, in turn, fundamentally changed not only Electricity trading patterns but also the structure of the Electric Power Supply chains. This new framework requires new math- ematical and engineering models and associated algorithmic tools. Moreover, the availability of fuels for Electric Power generation is a topic of both economic importance and national security. This paper uses the model developed by Nagurney and Matsypura (2004, 2006) as the foundation for the introduction of explicit fuel suppliers, in the case of nonrenewable and/or renewable fuels, and their optimizing behavior, into a general Electric Power Supply chain network model along with 'direct-Supply' generation. We derive the optimality conditions for the various decision-makers, including fuel suppliers, Power generators, suppliers, as well as the transmission service providers and the consumers at the demand markets. We establish that the governing equilibrium conditions satisfy a finite-dimensional variational inequality problem. We provide qualitative properties of the equilibrium flow pattern; in particular, existence of a solution and uniqueness under suitable assumptions. Finally, we discuss how the equilibrium fuel Supply and Electric Power flow pattern can be computed.
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modeling generator Power plant portfolios and pollution taxes in Electric Power Supply chain networks a transportation network equilibrium transformation
Transportation Research Part D-transport and Environment, 2006Co-Authors: Kai Wu, Anna Nagurney, Zugang Liu, John K StranlundAbstract:Global climate change and fuel security risks have encouraged international and regional adoption of pollution/carbon taxes. A major portion of such policy interventions is directed at the Electric Power industry with taxes applied according to the type of fuel used by the Power generators in their Power plants. This paper proposes an Electric Power Supply chain network model that captures the behavior of Power generators faced with a portfolio of Power plant options and subject to pollution taxes. We demonstrate that this general model can be reformulated as a transportation network equilibrium model with elastic demands and qualitatively analyzed and solved as such. The connections between these two different modeling schemas is done through finite-dimensional variational inequality theory. The numerical examples illustrate how changes in the pollution/carbon taxes affect the equilibrium Electric Power Supply chain network production outputs, the transactions between the various decision-makers the demand market prices, as well as the total amount of carbon emissions generated.
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Optimal endogenous carbon taxes for Electric Power Supply chains with Power plants
Mathematical and Computer Modelling, 2006Co-Authors: Anna Nagurney, Zugang Liu, Trisha WoolleyAbstract:In this paper, we develop a modeling and computational framework that allows for the determination of optimal carbon taxes applied to Electric Power plants in the context of Electric Power Supply chain (generation/distribution/consumption) networks. The adoption of carbon/pollution taxes both internationally and regionally has been fueled by global climate change and fuel security risks, with a significant portion of such policy interventions directed at the Electric Power industry. The general framework that we develop allows for three distinct types of carbon taxation environmental policies, beginning with a completely decentralized scheme in which taxes can be applied to each individual Power generator/Power plant in order to guarantee that each assigned emission bound is not exceeded, to two versions of a centralized scheme, one which assumes a fixed bound over the entire Electric Power Supply chain in terms of total carbon emissions and the other which allows the bound to be a function of the tax. The behavior of the various decision-makers in the Electric Power Supply chain network is described, along with the three taxation schemes, and the governing equilibrium conditions, which are formulated as finite-dimensional variational inequality problems. Twelve numerical examples are presented in which the optimal carbon taxes, as well as the equilibrium Electric Power flows and demands, are computed. The numerical results demonstrate, as the theory predicts, that the carbon taxes achieve the desired goal, in that the imposed bounds on the carbon emissions are not exceeded. Moreover, they illustrate the spectrum of scenarios that can be explored in terms of changes in the bounds on the carbon emissions; changes in emission factors; changes in the demand price functions, etc.
Kai Wu - One of the best experts on this subject based on the ideXlab platform.
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modeling generator Power plant portfolios and pollution taxes in Electric Power Supply chain networks a transportation network equilibrium transformation
Transportation Research Part D-transport and Environment, 2006Co-Authors: Kai Wu, Anna Nagurney, Zugang Liu, John K StranlundAbstract:Global climate change and fuel security risks have encouraged international and regional adoption of pollution/carbon taxes. A major portion of such policy interventions is directed at the Electric Power industry with taxes applied according to the type of fuel used by the Power generators in their Power plants. This paper proposes an Electric Power Supply chain network model that captures the behavior of Power generators faced with a portfolio of Power plant options and subject to pollution taxes. We demonstrate that this general model can be reformulated as a transportation network equilibrium model with elastic demands and qualitatively analyzed and solved as such. The connections between these two different modeling schemas is done through finite-dimensional variational inequality theory. The numerical examples illustrate how changes in the pollution/carbon taxes affect the equilibrium Electric Power Supply chain network production outputs, the transactions between the various decision-makers the demand market prices, as well as the total amount of carbon emissions generated.