Hydropower remains a cornerstone of renewable energy, yet small-scale plants in developing regions often underperform due to suboptimal design and outdated optimization approaches. This study addresses these limitations by developing a novel dual-objective optimization framework for the Challawa Gorge Dam in Kano State, Nigeria, leveraging Sequential Quadratic Programming (SQP) to simultaneously maximize power output and minimize water consumption. Using MATLAB-based simulations integrated with Monte Carlo flow analysis, we optimize penstock design, turbine selection, and operational parameters under real-world constraints (cavitation index σ > 0.12, surge pressure < 5% gross head). Our results demonstrate a 19.8% increase in power generation (5.73 MW achieved) alongside a 12.1% reduction in water usage (8.79 m3/s), outperforming conventional Particle Swarm Optimization (PSO) methods by 15.3% in efficiency. This work provides both a technical roadmap for sustainable hydropower expansion and actionable insights for policymakers targeting Nigeria’s 2030 renewable energy goals.
| Birincil Dil | İngilizce |
|---|---|
| Konular | Hidroelektrik Enerji Sistemleri |
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Gönderilme Tarihi | 24 Ocak 2025 |
| Kabul Tarihi | 30 Mayıs 2025 |
| Yayımlanma Tarihi | 26 Haziran 2025 |
| Yayımlandığı Sayı | Yıl 2025 Cilt: 10 Sayı: 2 |