W
Wahiba Yaïci
Researcher at Natural Resources Canada
Publications - 103
Citations - 1804
Wahiba Yaïci is an academic researcher from Natural Resources Canada. The author has contributed to research in topics: Phase-change material & Thermal energy storage. The author has an hindex of 14, co-authored 77 publications receiving 1040 citations. Previous affiliations of Wahiba Yaïci include Polytechnic University of Milan.
Papers
More filters
Journal ArticleDOI
Hybrid battery/supercapacitor energy storage system for the electric vehicles
TL;DR: In this paper, the authors review the recent works devoted to the application of various battery/supercapacitor hybrid systems in EVs and present a review of these works from an electrical engineering point of view.
Journal ArticleDOI
Performance prediction of a solar thermal energy system using artificial neural networks
Wahiba Yaïci,Evgueniy Entchev +1 more
TL;DR: In this paper, an application of artificial neural networks (ANNs) to predict the performance of a solar thermal energy system (STES) used for domestic hot water and space heating application was described.
Journal ArticleDOI
Three-dimensional unsteady CFD simulations of a thermal storage tank performance for optimum design
TL;DR: In this article, the results of 3D unsteady Computational Fluid Dynamics (CFD) simulations were investigated to investigate the influence of several design and operating parameters during charging operation on the flow behavior, thermal stratification and performance of a hot water storage tank installed in solar thermal energy systems.
Journal ArticleDOI
Numerical analysis of heat and energy recovery ventilators performance based on CFD for detailed design
TL;DR: In this article, a detailed numerical analysis of heat and membrane-based energy recovery ventilators (HRV/ERV) using computational fluid dynamics (CFD) was presented.
Journal ArticleDOI
Adaptive Neuro-Fuzzy Inference System modelling for performance prediction of solar thermal energy system
Wahiba Yaïci,Evgueniy Entchev +1 more
TL;DR: In this article, the applicability of Adaptive Neuro-Fuzzy Inference System (ANFIS) approach for predicting the performance parameters of a solar thermal energy system was investigated.