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Zaynah Dhunny
标题
引用次数
引用次数
年份
On big data, artificial intelligence and smart cities
Z Allam, AZ Dhunny
Cities 89, 80-91, 2019
10572019
Wind energy evaluation for a highly complex terrain using Computational Fluid Dynamics (CFD)
AZ Dhunny, MR Lollchund, S Rughooputh
Renewable Energy 101, 1-9, 2017
1092017
Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling
AZ Dhunny, JRS Doorga, Z Allam, MR Lollchund, R Boojhawon
Energy 188, 116056, 2019
862019
Sustainable renewable energy planning and wind farming optimization from a biodiversity perspective
AZ Dhunny, Z Allam, D Lobine, MR Lollchund
Energy 185, 1282-1297, 2019
472019
Cost minimization for fully renewable electricity systems: A Mauritius case study
D Timmons, AZ Dhunny, K Elahee, B Havumaki, M Howells, ...
Energy Policy 133, 110895, 2019
412019
An economic assessment of near-shore wind farm development using a weather research forecast-based genetic algorithm model
AZ Dhunny, DS Timmons, Z Allam, MR Lollchund, TSM Cunden
Energy 201, 117541, 2020
292020
Towards smart urban regeneration: Findings of an urban footprint survey in Port Louis, Mauritius
Z Allam, AZ Dhunny, G Siew, DS Jones
Smart Cities 1 (1), 7, 2018
242018
Statistical Modelling of Wind Speed Data for Mauritius
AZ Dhunny, RM Lollchund, R Boojhawon, SDDV Rughooputh
International Journal of Renewable Energy Research (IJRER) 4 (4), 1056-1064, 2014
212014
Investigation of multi-level wind flow characteristics and pedestrian comfort in a tropical city
AZ Dhunny, N Samkhaniani, MR Lollchund, S Rughooputh
Urban Climate 24, 185-204, 2018
192018
Numerical analysis of wind flow patterns over complex hilly terrains: comparison between two commonly used CFD software
AZ Dhunny, MR Lollchund, SDDV Rughooputh
International Journal of Global Energy Issues, 2016
192016
A High resolution mapping of wind energy potentials for Mauritus using Computational Fluid Dynamics (CFD)
A Dhunny, M Lollchund, S Rughooputh
Wind and Structures 20 (4), 565-578, 2015
162015
Flood Prediction using Artificial Neural Networks: Empirical Evidence from Mauritius as a Case Study.
AZ Dhunny, RH Seebocus, Z Allam, MY Chuttur, M Eltahan, H Mehta
Knowl. Eng. Data Sci. 3 (1), 1-10, 2020
122020
Evaluation of a wind farm project for a smart city in the South-East Coastal Zone of Mauritius
AZ Dhunny, MR Lollchund, SDDV Rughooputh
Journal of Energy in Southern Africa 27 (1), 39-50, 2016
122016
Long‐Term Wind Characteristics at Selected Locations in Mauritius for Power Generation
AZ Dhunny, MR Lollchund, S Rughooputh
Journal of Wind Energy 2015 (1), 613936, 2015
112015
Sensitivity Analysis of WRF Model for Wind Modelling Over a Complex Topography Under Extreme Weather Conditions
TSM Cunden, AZ Dhunny, MR lollchund, S Rughooputh
IEEE, 2018
102018
Computational fluid dynamics simulation and full-scale experimental model inter-comparison of the wind flow around a university campus
AZ Dhunny, F Toja-Silva, C Peralta, MR Lollchund, S Rughooputh
Wind Engineering 41 (1), 43-54, 2017
102017
A decentralized model of Wind turbine optimization
AZ Dhunny, Z Allam, MR Lollchund, K Dookhitram, S Rughooputh
Wind Engineering 44 (2), 208-222, 2020
32020
Modelling the effects of wind farming on the local weather using Weather Research and Forecasting (WRF) model
BO Jawaheer, AZ Dhunny, C TSM, MRLN Chandrasekaran
Springer, 219-231, 2019
22019
Diversity of participant representation within the 66th Lindau Nobel Laureate Meeting
SC Ndlovu, A Marais, PT Shabangu, LL Noto, JN Greiner, NE Engelbrecht, ...
South African Journal of Science 114 (3-4), 1-4, 2018
22018
WIND FLOW ANALYSIS OVER COMPLEX HILLY TERRAINS USING COMPUTATIONAL FLUID DYNAMICS
AZ Dhunny, MR Lollchund, S Rughooputh
Proceedings of RESUS Conference, 2015
12015
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