dc.contributor.advisor | Kruger, J.H. | |
dc.contributor.advisor | Bosman, J.J. | |
dc.contributor.advisor | Benson, G.M. | |
dc.contributor.author | Fourie, Jacques | |
dc.date.accessioned | 2024-08-07T11:51:33Z | |
dc.date.available | 2024-08-07T11:51:33Z | |
dc.date.issued | 2024-04 | |
dc.identifier.uri | https://orcid.org/0000-0002-5779-904X | |
dc.identifier.uri | http://hdl.handle.net/10394/42682 | |
dc.description | Master of Engineering in Mechanical Engineering, North-West University, Potchefstroom Campus | en_US |
dc.description.abstract | The main form of wind energy harnessing is where the wind turns a turbine to create
torque. Rotational inertia is the storage of rotational energy in the form of a rotating or
spinning mass. The Mass Moment of Inertia (MMoI) is related to the mass and geometry
of an object, describing the distribution of mass around a rotational axis.
The development of the mass moment of inertia model for the dynamic response of windpumps
focusses on the intricate windpump systems, which play a vital role in providing
essential water access to remote and off-grid areas. A review of existing literature underscores
the historical importance and intricate design principles of the windpump system,
providing a foundation for subsequent model development.
An integrated mathematical model is derived to evaluate windpump systems, focussing
on the dynamics of energy flow and the impact of MMoI. The model is then transferred
from the theoretical foundation to simulation through software implementation. The
simulations allow for a stepwise approach with a focus on data flow and in-depth system
behaviour analysis.
The developed windpump model is validated, subjecting it to real-world scenarios to
ensure its relative accuracy. Methods of collecting dimesional and mass input of the model
are described, together with a possible experimental setup for future research.
The model is subjected to different input conditions to analyse the response to different
MMoIs. Scenarios that simulate acceleration, deceleration, and variable input force to
determine the effective MMoI range. The effect of the variation in MMoI is evaluated
considering changes in the trends of shaft velocity, pumped water volume, and overall
energy distribution.
The study determines a specific MMoI range (75 − 125 kg · m2) for effective windpump
system performance, while also highlighting future aspects to investigate as a continuation
of this study. These include physical validation experiments, model refinements,
and system enhancements, such as additional MMoI storage and synergistic wind-solar
coupling.
In essence, this research investigates the dynamics of windpumps, laying the foundation
for enhanced operational efficacy and sustainable water provision in diverse and challenging
environments. | en_US |
dc.language.iso | en | en_US |
dc.publisher | North-West University (South Africa). | en_US |
dc.subject | Dynamics | en_US |
dc.subject | Dynamic Response | en_US |
dc.subject | Efficacy | en_US |
dc.subject | Energy | en_US |
dc.subject | Energy conversion | en_US |
dc.subject | Mass Moment of Inertia | en_US |
dc.subject | Pumping Systems | en_US |
dc.subject | Reciprocating Pump | en_US |
dc.subject | Renewable Energy | en_US |
dc.subject | Rotor Dynamics | en_US |
dc.subject | Sustainable Energy | en_US |
dc.subject | Turbine Design | en_US |
dc.subject | Water | en_US |
dc.subject | Wind Energy | en_US |
dc.subject | Windpump | en_US |
dc.title | Mass moment of inertia model development for the dynamic response of windpumps | en_US |
dc.type | Thesis | en_US |
dc.description.thesistype | Masters | en_US |
dc.contributor.researchID | Kruger, Jan-Hendrik - 11714409 (Supervisor) | |
dc.contributor.researchID | Bosman, Johannes Jacobus - 10855165 (Co-Supervisor) | |
dc.contributor.researchID | Benson, G.M. - Co-supervisor | |