Title Optimizing the Layout of Run-of-River Powerplants Using Cubic Hermite Splines and Genetic Algorithms
External publication No
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 2
JCR Impact 2.7
SJR Impact 0.492
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137319796&doi=10.3390%2fapp12168133&partnerID=40&md5=18a97ca38323322625bf3aab98fdc9be
Publication date 01/08/2022
ISI 000846235800001
Scopus Id 2-s2.0-85137319796
DOI 10.3390/app12168133
Abstract Despite the clear advantages of mini hydropower technology to provide energy access in remote areas of developing countries, the lack of resources and technical training in these contexts usually lead to suboptimal installations that do not exploit the full potential of the environment. To address this drawback, the present work proposes a novel method to optimize the design of mini-hydropower plants with a robust and efficient formulation. The approach does not involve typical 2D simplifications of the terrain penstock layout. On the contrary, the problem is formulated considering arbitrary three-dimensional terrain profiles and realistic penstock layouts taking into account the bending effect. To this end, the plant layout is modeled on a continuous basis through the cubic Hermite interpolation of a set of key points, and the optimization problem is addressed using a genetic algorithm with tailored generation, mutation and crossover operators, especially designed to improve both the exploration and intensification. The approach is successfully applied to a real-case scenario with real topographic data, demonstrating its capability of providing optimal solutions while dealing with arbitrary terrain topography. Finally, a comparison with a previous discrete approach demonstrated that this algorithm can lead to a noticeable cost reduction for the problem studied.
Keywords micro-hyropower plant; layout optimization; Hermite splines; genetic algorithm
Universidad Loyola members

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