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Authors: Meghana Kshirsagar 1 ; Rutuja Lahoti 2 ; Tanishq More 2 and Conor Ryan 1

Affiliations: 1 Biocomputing and Developmental Systems Group, Lero, University of Limerick, Ireland ; 2 Department of Information Technology, Government College of Engineering, Aurangabad, India

Keyword(s): Intelligent Transportation, Piezoelectric Effect, Smart Cities, Road Transport.

Abstract: The growing interest in the search and use of alternative resources for renewable energy can lead the future towards substantially decreasing carbon footprint and reduce the effects of global warming. The proposed research explores the possibility of harnessing piezoelectric energy from the environment of moving vehicles on road. Although the technology is still immature, it has the advantage of having zero carbon footprints thus making it ideal to investigate the potential for green energy generation. The main objective is to develop regression models that can estimate energy generated from vehicular traffic. Energy is generated when force is applied to piezoelectric transducers which depend on significant factors such as the number of piezoelectric transducers and their arrangement, load applied and frequency. We design Support Vector Machine (SVM) and Generalised Linear Model (GLM) for predicting energy. The best features for training the model were selected by incorporating featu re selection techniques such as Pearson’s correlation coefficient and Mutual Information Statistics. The experimental setup makes use of simulated data which takes into account vehicle count of different vehicles with and without load. The accuracy achieved from SVM and GLM are 99.6% and 99.7% respectively. The energy savings achieved by making use of generated piezoelectric energy is discussed with a sample scenario of Motorway50 of Dublin, the Irish Capital city. Through this work, we propose to investigate deeper into the feasibility towards cost-effectiveness by utilizing energy which is wasted by human and vehicular locomotion. (More)

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Paper citation in several formats:
Kshirsagar, M.; Lahoti, R.; More, T. and Ryan, C. (2021). GREECOPE: Green Computing with Piezoelectric Effect. In Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-512-8; ISSN 2184-4968, SciTePress, pages 164-171. DOI: 10.5220/0010445801640171

@conference{smartgreens21,
author={Meghana Kshirsagar. and Rutuja Lahoti. and Tanishq More. and Conor Ryan.},
title={GREECOPE: Green Computing with Piezoelectric Effect},
booktitle={Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2021},
pages={164-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010445801640171},
isbn={978-989-758-512-8},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - GREECOPE: Green Computing with Piezoelectric Effect
SN - 978-989-758-512-8
IS - 2184-4968
AU - Kshirsagar, M.
AU - Lahoti, R.
AU - More, T.
AU - Ryan, C.
PY - 2021
SP - 164
EP - 171
DO - 10.5220/0010445801640171
PB - SciTePress

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