Mr. Richard Muriuki Kimiti is an experienced educator, researcher, and renewable energy specialist with over twenty-three years of teaching experience in Physics and Mathematics. He is currently pursuing a Ph.D. in Physics with a specialization in Renewable Energy (Wind Energy) at Jomo Kenyatta University of Agriculture and Technology (JKUAT), Kenya. He holds an M.Sc. in Physics (Renewable Energy and Environment) from JKUAT, a Bachelor of Education (Science) in Physics and Mathematics from Egerton University, and a Diploma in Computer Engineering with distinction. Mr. Kimiti has served as a Part-Time Assistant Lecturer at Murang’a University of Technology, Jomo Kenyatta University of Agriculture and Technology, and Mount Kenya University, contributing significantly to the teaching of physics and renewable energy-related courses. In addition, he has extensive experience in secondary education, where he has taught Physics and Mathematics and served as Head of the Science Department. His research interests focus on renewable energy systems, wind turbine performance optimization, wind energy modeling, biogas technology, and sustainable energy solutions. He has authored and co-authored several scholarly publications in reputable journals, including studies on wind turbine power output prediction, practical power coefficients in wind turbines, critical velocities in telescopic wind turbines, and biogas stove efficiency. He is also the author of the high school revision textbook “A Finder Physics.” Mr. Kimiti has presented his research at international conferences and has been involved in academic review and curriculum development activities. Through his commitment to teaching, research, and innovation, he continues to contribute to the advancement of renewable energy technologies and science education in Kenya and beyond.

HAWT with Telescopic Blades: Modelling, Simulation and Performance Optimization Horizontal axis wind turbines fitted with telescopic blades (HAWT-T) offer the potential to dynamically vary rotor swept area in response to changing wind conditions, thereby improving energy capture and operational flexibility. Although the concept has been investigated since the late 1990s and demonstrated through proof-of-concept studies, its adoption remains limited. One contributing factor is the absence of a unified theoretical framework capable of accurately describing turbine performance under continuously varying blade radius. Existing aerodynamic models, including Actuator Disc Theory (ADT), Blade Element Momentum Theory (BEMT), and Navier-Stokes (N-S) based approaches, describe turbine performance from different perspectives and often provide inconsistent predictions when applied to variable swept-area systems. ADT assesses turbine performance in power coefficient while BEMT give it in lift-to-drag ratio. This study aims to re-evaluate and integrate these foundational theories to develop a harmonized modelling framework for telescopic-blade wind turbines. Computational models will be developed to investigate the relationships among blade extension, swept area, aerodynamic loads, and power extraction. Model predictions will be assessed against established wind turbine performance trends and available literature. The study is expected to strengthen the theoretical foundation for adaptive wind turbine technologies and provide insights that support the design, optimization, and deployment of site-specific smart wind turbines.