The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Prodromos Daoutidis - One of the best experts on this subject based on the ideXlab platform.
-
Microgrid/Macrogrid Energy Exchange: A Novel Market Structure and Stochastic Scheduling
IEEE Transactions on Smart Grid, 2017Co-Authors: Michael Zachar, Prodromos DaoutidisAbstract:This paper explores the stochastic scheduling of microgrids where energy exchange with the macrogrid must be coordinated ahead of time. In particular, a Market Structure is proposed in which microgrid operators make day-ahead energy exchange commitments. Microgrids are fined for deviating too far from commitments and a maximum difference between commitments in subsequent hours is enforced. These constraints are included to reduce the burden placed on the macrogrid by distributed generation. Under this Market Structure, a scheduling problem is formulated for a microgrid system consisting of microturbines, a photovoltaic array, a battery bank, and a bi-directional connection to the macrogrid. Chance-constrained optimization is used to minimize operational cost and ensure the energy exchange commitments are met. The problem is transformed into a mixed integer linear program, and is solved to show that these commitments can be satisfied with a high level of certainty and to illustrate inherent tradeoffs between microgrid performance and level of regulation.
-
microgrid macrogrid energy exchange a novel Market Structure and stochastic scheduling
IEEE Transactions on Smart Grid, 2017Co-Authors: Michael Zachar, Prodromos DaoutidisAbstract:This paper explores the stochastic scheduling of microgrids where energy exchange with the macrogrid must be coordinated ahead of time. In particular, a Market Structure is proposed in which microgrid operators make day-ahead energy exchange commitments. Microgrids are fined for deviating too far from commitments and a maximum difference between commitments in subsequent hours is enforced. These constraints are included to reduce the burden placed on the macrogrid by distributed generation. Under this Market Structure, a scheduling problem is formulated for a microgrid system consisting of microturbines, a photovoltaic array, a battery bank, and a bi-directional connection to the macrogrid. Chance-constrained optimization is used to minimize operational cost and ensure the energy exchange commitments are met. The problem is transformed into a mixed integer linear program, and is solved to show that these commitments can be satisfied with a high level of certainty and to illustrate inherent tradeoffs between microgrid performance and level of regulation.
Michael Zachar - One of the best experts on this subject based on the ideXlab platform.
-
Microgrid/Macrogrid Energy Exchange: A Novel Market Structure and Stochastic Scheduling
IEEE Transactions on Smart Grid, 2017Co-Authors: Michael Zachar, Prodromos DaoutidisAbstract:This paper explores the stochastic scheduling of microgrids where energy exchange with the macrogrid must be coordinated ahead of time. In particular, a Market Structure is proposed in which microgrid operators make day-ahead energy exchange commitments. Microgrids are fined for deviating too far from commitments and a maximum difference between commitments in subsequent hours is enforced. These constraints are included to reduce the burden placed on the macrogrid by distributed generation. Under this Market Structure, a scheduling problem is formulated for a microgrid system consisting of microturbines, a photovoltaic array, a battery bank, and a bi-directional connection to the macrogrid. Chance-constrained optimization is used to minimize operational cost and ensure the energy exchange commitments are met. The problem is transformed into a mixed integer linear program, and is solved to show that these commitments can be satisfied with a high level of certainty and to illustrate inherent tradeoffs between microgrid performance and level of regulation.
-
microgrid macrogrid energy exchange a novel Market Structure and stochastic scheduling
IEEE Transactions on Smart Grid, 2017Co-Authors: Michael Zachar, Prodromos DaoutidisAbstract:This paper explores the stochastic scheduling of microgrids where energy exchange with the macrogrid must be coordinated ahead of time. In particular, a Market Structure is proposed in which microgrid operators make day-ahead energy exchange commitments. Microgrids are fined for deviating too far from commitments and a maximum difference between commitments in subsequent hours is enforced. These constraints are included to reduce the burden placed on the macrogrid by distributed generation. Under this Market Structure, a scheduling problem is formulated for a microgrid system consisting of microturbines, a photovoltaic array, a battery bank, and a bi-directional connection to the macrogrid. Chance-constrained optimization is used to minimize operational cost and ensure the energy exchange commitments are met. The problem is transformed into a mixed integer linear program, and is solved to show that these commitments can be satisfied with a high level of certainty and to illustrate inherent tradeoffs between microgrid performance and level of regulation.
Josep Tribó - One of the best experts on this subject based on the ideXlab platform.
-
Inventories, Financial Structure and Market Structure
International Journal of Production Economics, 2001Co-Authors: Josep TribóAbstract:In this paper, we study the effect of different financial contracts on the firm's inventory policy. Doing so will allow to define the best financial instruments to diminish the stock variability of a profit-maximizing firm in a given economic environment (expansion or recession), and for a given Market Structure. We show that in periods of recession (expansion), reducing (increasing) the amount of short-term debt is an optimal strategy independently of the Market Structure.
-
Market Structure, Financial Structure and Inventories
1997Co-Authors: Josep TribóAbstract:We have two main objectives in this work. Firstly, to link product Market Structure with the inventory policy followed by firms. Secondly, to study the effect of different financila contracts in firm's policy, in particular in its inventory policy. This will allow to define for a given economic environment (expansions or recessions), and a given Market Structure, the best financial instruments to diminish the variability of stocks.
Georges Vivien Houngbonon - One of the best experts on this subject based on the ideXlab platform.
-
Optimal Market Structure in the Mobile Industry
2020Co-Authors: François Jeanjean, Georges Vivien HoungbononAbstract:The optimal Market Structure in the mobile industry is an important topic in the mobile industry. In this paper, we use two theoretical frameworks and a structural estimation approach to assess the effects of Market Structure on consumer surplus in symmetric mobile Markets. When mobile services are viewed as homogeneous products under Cournot competition, we find that consumer surplus falls with the number of operators. However, when mobile services are considered as differentiated products under Salop competition, we find an inverted-U relationship between consumer surplus and the number of mobile operators. These findings call for a case-by-case analysis of the optimal Market Structure in the mobile industry.
-
Market Structure and Investment in the Mobile Industry
SSRN Electronic Journal, 2016Co-Authors: François Jeanjean, Georges Vivien HoungbononAbstract:The impact of Market Structure, that is the number of firms and asymmetry, on investment is an important topic in the mobile industry. However, previous literature remains ambiguous about the direction of the relationship. This paper provides an empirical evidence of the impact of Market Structure on investment in the European mobile industry. The empirical assessment is based on a Salop model with vertical differentiation. Consistently with the prediction of this model, we find that both the number of operators and Market share asymmetry have significant effects on investment. In symmetric Markets, investment per operator falls with the number of operators, with larger effects for operators that lose Market share more than the average. The industry investment rises with the number of operators in the short run, but eventually falls in the long run due to significant adjustment costs of investment in the mobile industry. These findings suggest that investment should be taken into account when analysing the welfare effects of Market Structure in the mobile industry.
Rob Zuidwijk - One of the best experts on this subject based on the ideXlab platform.
-
european intermodal freight transport network Market Structure analysis
Journal of Transport Geography, 2017Co-Authors: Hamid Saeedi, Bart Wiegmans, Behzad Behdani, Rob ZuidwijkAbstract:The analysis of Market Structure and concentration measures for the Intermodal Freight Transport (IFT) Market is important to avoid Market failure and to find the areas for policy making to promote IFT Market share. This analysis can be performed for separate segments, for example, the Market for transshipment service or the Market for main-haulage service. However, due to the multistage characteristic of IFT service, the segmental analysis gives an incomplete view of the IFT Market at the network level. In a previous paper (Saeedi et al., 2017), we present the Intermodal Freight Transport Market Structure (IFTMS) model to conduct a network-based study of the IFTMS in which distinctive actors (i.e., pre/post haulage operators, terminals, rail/barge operators, transport chains, and corridors) are competing at different levels inside distinctive Markets to deliver an integrated IFT service. There are two main challenges in the application of IFTMS model in real cases, for example, the European IFT network. First, the definition of the geographical and spatial border of the transshipment Market areas is needed to determine which actors are potentially competing for a specific service demand. The second challenge is the lack of disaggregated data and the consistency of existing data in nodes (i.e., the transshipment areas) and links (i.e., the rail and barge operators). To cope with these challenges, we develop a four-step methodology in which a model-based approach is used to define the geographic boundaries of the transshipment subMarkets and provide detailed and consistent data for Market analysis. We also apply the IFTMS model to study the Market Structure of European intermodal network. Our analysis shows that the majority of transshipment Markets as well as main-haulage Markets are highly concentrated Markets. The corridor Markets – which include the IFT chains – are unconcentrated Markets. Furthermore, the majority of corridors in the European Union are inside highly concentrated origin-destination Markets.
