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University of Algarve, Portugal

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2 Papers

A Renewable Source Aware Model for the Charging of Plug-in Electrical Vehicles

Topics: Systems Modeling and Simulation; Smart Grid and V2G

Authors: Jânio Monteiro ¹ and Mário S. Nunes ²

Affiliations: ¹ INESC-ID and University of Algarve, Portugal , ² INESC-ID, Portugal

Digital Object Identifier: 10.5220/0005459000510058

Proceedings of VEHITS 2015, ISBN: 978-989-758-109-0

Quick Abstract

The number of Electric Vehicles is estimated to continuously rise over the next years. While this trend is expected to lead to a reduction in CO2 emission, existing electrical grids have not been planned to support a large number of electrical vehicle’s batteries charging simultaneously. The integration of distributed production using renewable energy sources is seen as a solution to meet the requirements of battery charging. Renewable sources are however affected by variation and lack of predictability, due to the environmental factors they depend on, which are the cause of inefficiencies and mismatches in the required demand-response equilibrium. In these conditions, the model and the associated scheduling algorithms to use in medium to large charging parks play an important role, due to the implications it has in their operational costs and in the maximization of the return of investments made in renewable sources. In this paper we propose and evaluate a charging model that engages users to participate in demand response measures, by giving them the ability of selecting two energy components for the charging of their electrical vehicles, one of which varies according with the variable nature of renewable sources. Based in this model we propose one scheduling algorithm and compare it with several other solutions, demonstrating that the proposed solution is able of achieving a significant cost reduction with significant low computational complexity and processing times, while achieving a high ratio of renewable energy usage.

Related Ontology Subjects/Areas/Topics (3)

Industrial Engineering

Informatics in Control, Automation and Robotics

Systems Modeling and Simulation

Integration of a Food Distribution Routing Optimization Software with an Enterprise Resource Planner

Topics: Decision Support Systems; Web Applications; Geographic Information Retrieval; Intelligent Data Fusion; Sensor Networks

Authors: Pedro J. S. Cardoso ¹ , Gabriela Schütz ¹ , Jorge Semião ² , Jânio Monteiro ² , João Rodrigues ¹ , Andriy Mazayev ¹ , Emanuel Ey Vieira ¹ , Micael Viegas ¹ , Carlos Neves ³ and Sérgio Anastácio ³

Affiliations: ¹ University of the Algarve, Portugal , ² University of the Algarve and INESC-ID, Portugal , ³ Business Solutions, Portugal

Digital Object Identifier: 10.5220/0005385901530161

Proceedings of GISTAM 2015, ISBN: 978-989-758-099-4

Quick Abstract

i3FR is a system for optimizing the distribution of fresh goods, using a fleet of vehicles, which must be integrated with an existing Enterprise Resource Planning (ERP) software, while avoiding disruption of established schedules and procedures. In terms of delivery optimization, the most similar problem in literature is the wellestablished and experimented Vehicle Routing Problem with Time Windows (VRPTW), which is, by nature, a multiple objective problem where the number of vehicles and the total traveled distance must be minimized. In this paper, the overall architecture of the i3FR system is presented, which includes several modules and services (such as ERP, routing optimization and data acquisition modules), and the communication between them. The novelty in the proposed architecture comprises: (i) the application to a fresh goods distribution network, with multiple restrictions on goods’ acclimatization; (ii) a data acquisition system which includes vehicle data and environmental data from the vehicles’ refrigerated volumes, such as temperature; and (iii) the integration of the VRPTW optimization system with an existing ERP. A case-study is described and validates the overall implementation. The main contribution of paper is the proposal of a multi-layered architecture to integrate existing ERP software with a route optimization and a temperature data acquisition module.

Related Ontology Subjects/Areas/Topics (4)

Applications		Sensor Networks		Web Applications
Pattern Recognition

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