The Experts below are selected from a list of 617094 Experts worldwide ranked by ideXlab platform
Ramteen Sioshansi - One of the best experts on this subject based on the ideXlab platform.
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simulation Optimization Model for location of a public electric vehicle charging infrastructure
Transportation Research Part D-transport and Environment, 2013Co-Authors: Ramteen Sioshansi, Vincenzo MaranoAbstract:Abstract The paper develops a simulation–Optimization Model that determines where to locate electric vehicle chargers to maximize their use by privately owned electric vehicles. Applying this Model to the central-Ohio region, we demonstrate that a combination of level-one and -two chargers is preferable to level-two chargers only. We further explore interactions between the Optimization criterion used and the budget available. We finally show that although the optimal location is sensitive to the specific Optimization criterion considered, overall service levels are less sensitive to the Optimization strategy.
Pedro Afonso - One of the best experts on this subject based on the ideXlab platform.
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Optimization Model for integrated regional wastewater systems planning
Journal of Water Resources Planning and Management, 2009Co-Authors: Maria Da Conceicao Cunha, Liliana Pinheiro, Joao A Zeferino, Antonio Pais Antunes, Pedro AfonsoAbstract:The wastewater generated in urban areas is one of the main sources of water pollution, particularly in regions characterized with large population density and high urbanization degree. In this paper, we present an Optimization Model for regional wastewater systems planning. The Model is aimed at helping to determine the best possible configuration (layout of sewer networks, location of treatment plants, etc.) for the wastewater system of a region taking economic, environmental, and technical criteria explicitly into account. It can be used separately, or as a building block of a broad decision-support tool designed to cover all (or most of) the issues involved in the implementation of an Integrated Water Resources Management approach. The Model is solved through a simulated annealing algorithm. The type of results that can be obtained through the application of the Model is illustrated for three case studies.
Zhang Lian - One of the best experts on this subject based on the ideXlab platform.
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Two-Stage Optimization Model Based Coordinated Charging for EV Charging Station
Power system technology, 2014Co-Authors: Zhang LianAbstract:Under the premise of satisfying the charging demand of electric vehicle(EV) and complying with the restriction of distribution transformer capacity, a first-stage optimal EV charging Model, which takes the maximized charging revenue of the charging station as the objective, is established. Considering maximizing the incentive to reducing peak-valley difference given by grid corporation and taking the maximum charging revenue, which is not lower than that obtained by the first-stage Optimization, as constraint, the second-stage Optimization Model is built. Based on the driving habits of EV users, the charging demand of EV users is simulated by Monte Carlo method, and the economic benefit of charging station and the load condition of distribution transformer under three situations, namely the uncoordinated charging, the charging under the first-stage Optimization Model and the charging under the two-stage Optimization Model, are simulated and analyzed. Research results show that using the first-stage Optimization Model and the second-stage Optimization Model the economic benefit of charging station can be evidently improved. However, under current time-of-use(TOU) mechanism, new peak load will occur when only the first-stage Optimization Model is used to control the charging of lots of EVs, and yet the improved two-stage Optimization Model can play a significant role in further increasing economic benefit of charging station, reducing peak-valley difference and smoothing the load curves, besides, the computational cost of the improved two-stage Optimization Model is still low, so it is suitable for practical application.
Vincenzo Marano - One of the best experts on this subject based on the ideXlab platform.
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simulation Optimization Model for location of a public electric vehicle charging infrastructure
Transportation Research Part D-transport and Environment, 2013Co-Authors: Ramteen Sioshansi, Vincenzo MaranoAbstract:Abstract The paper develops a simulation–Optimization Model that determines where to locate electric vehicle chargers to maximize their use by privately owned electric vehicles. Applying this Model to the central-Ohio region, we demonstrate that a combination of level-one and -two chargers is preferable to level-two chargers only. We further explore interactions between the Optimization criterion used and the budget available. We finally show that although the optimal location is sensitive to the specific Optimization criterion considered, overall service levels are less sensitive to the Optimization strategy.
Antonio Pais Antunes - One of the best experts on this subject based on the ideXlab platform.
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An Optimization Model for integrated transit-parking policy planning
Transportation, 2018Co-Authors: Joana Cavadas, Antonio Pais AntunesAbstract:The Optimization Model proposed in this paper is aimed to assist city councils (or other transport authorities) in the planning of integrated transit-parking policies. The objective is to minimize the joint operating deficit of the transit and parking operators while ensuring given minimum levels of (motorized) mobility in a city. The key decision variables are transit fares and parking fees. The impact of price changes on transit and car modal shares are described by logit functions of the generalized travel costs. The practical utility of the Model is illustrated with a case study involving a midsize city in Portugal.
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Optimization Model for integrated regional wastewater systems planning
Journal of Water Resources Planning and Management, 2009Co-Authors: Maria Da Conceicao Cunha, Liliana Pinheiro, Joao A Zeferino, Antonio Pais Antunes, Pedro AfonsoAbstract:The wastewater generated in urban areas is one of the main sources of water pollution, particularly in regions characterized with large population density and high urbanization degree. In this paper, we present an Optimization Model for regional wastewater systems planning. The Model is aimed at helping to determine the best possible configuration (layout of sewer networks, location of treatment plants, etc.) for the wastewater system of a region taking economic, environmental, and technical criteria explicitly into account. It can be used separately, or as a building block of a broad decision-support tool designed to cover all (or most of) the issues involved in the implementation of an Integrated Water Resources Management approach. The Model is solved through a simulated annealing algorithm. The type of results that can be obtained through the application of the Model is illustrated for three case studies.
