Novel Speed Bumps Design and Optimization for Vehicles' Energy Recovery in Smart Cities

Andrea Pirisi, Francesco Grimaccia, Marco Mussetta and Riccardo E. Zich
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Francesco Grimaccia: Department of Energy, Politecnico di Milano, Via La Masa 34, I-20156 Milano, Italy
Marco Mussetta: Department of Energy, Politecnico di Milano, Via La Masa 34, I-20156 Milano, Italy
Riccardo E. Zich: Department of Energy, Politecnico di Milano, Via La Masa 34, I-20156 Milano, Italy

Energies, 2012, vol. 5, issue 11, 1-19

Abstract: Recently the technology development and increasing amounts of investment in renewables has led to a growing interest towards design and optimization of green energy systems. In this context, advanced Computational Intelligence (CI) techniques can be applied by engineers to several technical problems in order to find out the best structure and to improve efficiency in energy recovery. This research promises to give new impulse to using innovative unconventional renewable sources and to develop the so-called Energy Harvesting Devices (EHDs). In this paper, the optimization of a Tubular Permanent Magnet-Linear Generator for energy harvesting from vehicles to grid is presented. The optimization process is developed by means of hybrid evolutionary algorithms to reach the best overall system efficiency and the impact on the environment and transportation systems. Finally, an experimental validation of the designed EHD prototype is presented.

Keywords: energy harvesting; vehicle; tubular linear generator; computational intelligence methods; smart cities (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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