Title :
Evaluation of On-Board Photovoltaic Modules Options for Electric Vehicles
Author :
Abdelhamid, Mahmoud ; Singh, Rajdeep ; Qattawi, Ala ; Omar, Murad ; Haque, Imtiaz
Author_Institution :
Int. Center for Automotive Res., Clemson Univ., Greenville, SC, USA
Abstract :
This paper presents an overview of different commercial photovoltaic (PV) module options to power on-board electric vehicles (EVs). We propose the evaluation factors, constraints, and the decision-making criteria necessary to assess the suitability of this PV module for this application. The incorporation of quality function deployment (QFD) and the analytical hierarchy process (AHP) is the decision-making methodology used in this study. Our approach is innovative and robust in that the evaluation depends upon data collected from PV manufactures datasheets. Unlike traditional research, a hybrid AHP and QFD innovative decision-making methodology has been created, and current commercial PV market data for all pairwise comparisons are used to show that methodology. Using both cooled and uncooled PV modules, best, intermediate, and worst-case scenarios were used to estimate the driving ranges of lightweight EVs powered exclusively by bulk silicon PV modules. Results showed that the available daily driving ranges were between 25 and 60 km and that the CO2 emissions were reduced between 3 and 6.5 kg, compared with internal combustion vehicles of a similar type. We found that mono-Si PV modules were most suited to power low-speed, lightweight, and aerodynamically efficient EVs.
Keywords :
analytic hierarchy process; decision making; solar cell arrays; solar powered vehicles; CO2 emissions; bulk silicon photovoltaic modules; cooled photovoltaic modules; decision-making criteria; decision-making methodology; evaluation factors; hybrid analytical hierarchy process; lightweight electric vehicles; on-board electric vehicles; on-board photovoltaic module options; quality function deployment; suitability; uncooled photovoltaic modules; Decision making; Electric vehicles; Photovoltaic cells; Quality function deployment; Solar energy; Analytic hierarchy process (AHP); electric vehicles (EVs); photovoltaic cells; quality function deployment (QFD); ranges; solar energy;
Journal_Title :
Photovoltaics, IEEE Journal of
DOI :
10.1109/JPHOTOV.2014.2347799