Browsing by Author "Dlodlo, M."

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    Ethnobotanical knowledge and use-value of Harpagophytum (Devil’s claw) in Matabeleland, Zimbabwe
    (Elsevier, 2021-09-17) Ncube, S.F.; Ndagurwa, H.G.; Mundy, P.J.; Sibanda, S.; Dlodlo, M.
    Quantitative ethnobotanical knowledge is important in guiding sustainable resource use, yet for many medicinal plants such as Harpagophytum (Devil's claw), this information is scanty. Thus, we documented the ethnobotanical knowledge of Devil's claw in Hwange, Gwanda, Matobo, and Tsholotsho, western Zimbabwe, in relation to a person's age, gender, level of education, and locality. Using a semi-structured questionnaire, we interviewed 205 respondents on their knowledge of the physical features, distribution, uses and use-values, part used, and the method of preparation of Devil's claw. Physical identification was assessed based on the frequency of knowledge of plant parts. Binomial General Linear Models were used to test the effect of age, education, gender, and locality on the respondent's knowledge. Relationships of age, gender, level of education, and locality to ethnoecological perceptions were assessed using Pearson's Chi-square test. Use values were assessed based on Plant Part Value (PPV), Use Value category (UVk), and Overall Use Value (OUV). Ethnobotanical knowledge varied with locality and age, with better physical description in most adults and senior respondents in Hwange and Tsholotsho. Respondent's perceptions showed that Devil's claw was more abundant in Hwange and Tsholotsho relative to Matobo and Gwanda. Tubers (53%) were most valued in all localities followed by leaves (29%), and fruits (18%). Of the five identified categories of use, medicinal (UVk of 0.38) was the most important while ethnoveterinary, rituals, personal care, and food were least important (all UVks ≤0.02). OUVs were dependent on locality, significantly higher in Hwange and Tsholotsho (0.64 and 0.58, respectively) as compared to Gwanda (0.1) and Matobo (0.28). This study provides a wealth of knowledge that contributes to the preservation of indigenous knowledge of Devil's claw, sustainable management of the plant as well as further contribute to pharmacological interventions.
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    Power Maximization and Turbulence Intensity Management through Axial Induction-Based Optimization and Efficient Static Turbine Deployment
    (Energies, 2021-08-12) Charles, M.; Oyedokun, D.T.; Dlodlo, M.
    Layout optimization is capable of increasing turbine density and reducing wake effects in wind plants. However, such optimized layouts do not guarantee fixed T-2-T distances in any direction and would be disadvantageous if reduction in computational costs due to turbine set-point updates is also a priority. Regular turbine layouts are considered basic because turbine coordinates can be determined intuitively without the application of any optimization algorithms. However, such layouts can be used to intentionally create directions of large T-2-T distances, hence, achieve the gains of standard/non-optimized operations in these directions, while also having close T-2-T distances in other directions from which the gains of optimized operations can be enjoyed. In this study, a regular hexagonal turbine layout is used to deploy turbines within a fixed area dimension, and a turbulence intensity-constrained axial induction-based plant-wide optimization is carried out using particle swarm, artificial bee colony, and differential evolution optimization techniques. Optimized plant power for three close turbine deployments (4D, 5D, and 6D) are compared to a non- optimized 7D deployment using three mean wind inflows. Results suggest that a plant power increase of up to 37% is possible with a 4D deployment, with this increment decreasing as deployment distance increases and as mean wind inflow increases.