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Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil
Publication . Costa, José Evaldo Geraldo; Paiva, Artur; Seixas, Julia; Costa, Gustavo; Batista, Patrícia; Ó Gallachóir, Brian; DCEA - Departamento de Ciências e Engenharia do Ambiente; CENSE - Centro de Investigação em Ambiente e Sustentabilidade; John Wiley & Sons, Ltd / Hindawi Publishing Corporation
In pursuit of a more sustainable transportation system, electric vehicles (EVs) have the potential to play a fundamental role due to their improved efficiency and lower emissions. The absence of an adequate electric vehicle supply equipment (EVSE) network has been one of the major obstacles for the mass adoption of EV, in large municipalities of developing countries. This is the case in Belo Horizonte (BH), Brazil, which also has a high motorization rate (7 light-duty vehicles per 10 inhabitants). The purpose of this study is to measure and identify the optimal locations for EVSE according to selected criteria to meet the needs of light-duty electric vehicles (LDEV) corresponding to a penetration of 1% by 2025 in the municipality of BH. The study highlights the most important attributes that need to be considered for the installation of an EVSE network in an urban space for a developing country. Multi-Criteria Decision Making (MCDM), the Weighted Linear Combination (WLC) method, and the Analytical Hierarchy Process (AHP) technique based on the inputs from a group of Brazilian electrical mobility specialists, coupled with a Geographic Information System (GIS) modeling tool, were used for this study. The results revealed that around 1,200 EVSE units are needed, with a large concentration of EVSE in a small region. We also illustrate where stakeholders should focus their attention for the successful promotion of EV. The development methodology has the potential to be applied in other future EVSE development projects.
Calibration of parameters in Dynamic Energy Budget models using Direct-Search methods
Publication . Morais, J. V.; Custódio, A. L.; Marques, G. M.; DM - Departamento de Matemática; CMA - Centro de Matemática e Aplicações; Springer Science Business Media
Dynamic Energy Budget (DEB) theory aims to capture the quantitative aspects of metabolism at the individual level, for all species. The parametrization of a DEB model is based on information obtained through the observation of natural populations and experimental research. Currently the DEB toolbox estimates these parameters using the Nelder–Mead Simplex method, a derivative-free direct-search method. However, this procedure presents some limitations regarding convergence and how to address constraints. Framed in the calibration of parameters in DEB theory, this work presents a numerical comparison between the Nelder–Mead Simplex method and the SID-PSM algorithm, a Directional Direct-Search method for which convergence can be established both for unconstrained and constrained problems. A hybrid version of the two methods, named as Simplex Directional Direct-Search, provides a robust and efficient algorithm, able to solve the constrained optimization problems resulting from the parametrization of the biological models.
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Fundação para a Ciência e a Tecnologia
Programa de financiamento
5876
Número da atribuição
UID/EEA/50009/2013