A sensitivity analysis for the design of small-scale hydropower plant: Kayabogazi case study

Aslan, Yılmaz; Arslan, Oğuz; Yaşar, Celal

doi:10.1016/j.renene.2007.04.011

Cited by 37 publications

(11 citation statements)

References 11 publications

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“…In fact, in general "With respect to the nature of small hydropower plants (lower than 5 MW), the costs are evaluated to be approximately US$500 per kW (including turbines, generators, governors, gates, control systems, power substation, electrical and mechanical auxiliary equipment, etc.) of power installation" [30].…”

Section: Discussionmentioning

confidence: 99%

The Small-Scale Hydropower Plants in Sites of Environmental Value: An Italian Case Study

Rotilio¹,

Marchionni²,

Berardinis³

2017

Sustainability

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Since ancient times water has been accompanying technological change in the energy sector. Used as a source of hydraulic energy, it currently generates one-fifth of the global electricity production. However, according to collective imagination, hydroelectric plants are constructions of high environmental, acoustic, and visual impact, which may harm the preservation of the territory. This paper intends to address the topic of mini-hydropower that, in addition to providing the production of renewable energy, ensures a limited environmental impact even in delicate contexts with high landscape values, by elaborating a research methodology that makes these interventions compatible with them. The process of "global compatibility" checks developed to assess the feasibility of the intervention will be explained in the paper. We intend to describe here the research process undertaken to make the planning of this type of system sustainable, in contexts that need to be rehabilitated in relation both to the accessibility of citizens and to the environmental enhancement. The intervention planned will be characterized by the combined use of other renewable energy sources, in addition to water. The proposed methodology has been tested on a case study in the village of Roccacasale, in the province of L'Aquila.

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Section: Discussionmentioning

confidence: 99%

The Small-Scale Hydropower Plants in Sites of Environmental Value: An Italian Case Study

Rotilio¹,

Marchionni²,

Berardinis³

2017

Sustainability

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“…Aslan et al [147] Mahmoud et al [148] It finds the ideal configuration by using the flow rates when they are higher and also finds the key element of plant efficiency is head loss.…”

Section: Sensitivity Analysis Dynamic Programming Simulinkmentioning

confidence: 99%

Modeling and Solution Techniques Used for Hydro Generation Scheduling

Parvez

Shen

Khan

et al. 2019

Water

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The hydro generation scheduling problem has a unit commitment sub-problem which deals with start-up/shut-down costs related hydropower units. Hydro power is the only renewable energy source for many countries, so there is a need to find better methods which give optimal hydro scheduling. In this paper, the different optimization techniques like lagrange relaxation, augmented lagrange relaxation, mixed integer programming methods, heuristic methods like genetic algorithm, fuzzy logics, nonlinear approach, stochastic programming and dynamic programming techniques are discussed. The lagrange relaxation approach deals with constraints of pumped storage hydro plants and gives efficient results. Dynamic programming handles simple constraints and it is easily adaptable but its major drawback is curse of dimensionality. However, the mixed integer nonlinear programming, mixed integer linear programming, sequential lagrange and non-linear approach deals with network constraints and head sensitive cascaded hydropower plants. The stochastic programming, fuzzy logics and simulated annealing is helpful in satisfying the ramping rate, spinning reserve and power balance constraints. Genetic algorithm has the ability to obtain the results in a short interval. Fuzzy logic never needs a mathematical formulation but it is very complex. Future work is also suggested.

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“…The problem of finding optimal parameters to design small and micro hydro power plants has motivated extensive studies in the literature [30][31][32][33][34][35][36]. Given the complexity that this problem has shown since the first studies [30], heuristic approaches are exhibing a particular relevance in this field [31], not just to assist the design of the plants but also to optimize the management and operation strategies.…”

Section: Related Workmentioning

confidence: 99%

“…This way, authors are able to identify the most advantageous design alternatives for a project. In a similar way, dynamic programming was used in [32] to evaluate the effects of the parameters by means of a sensitivity analysis approach. In addition, in [26], a cost optimization is proposed by using a Honey Bee Mating Optimization (HBMO) algorithm [37].…”

Section: Related Workmentioning

confidence: 99%

An Evolutionary Computational Approach for Designing Micro Hydro Power Plants

2019

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Micro Hydro Power Plants (MHPP) constitute an effective, environmentally-friendly solution to deal with energy poverty in rural isolated areas, being the most extended renewable technology in this field. Nevertheless, the context of poverty and lack of qualified manpower usually lead to a poor usage of the resources, due to the use of thumb rules and user experience to design the layout of the plants, which conditions the performance. For this reason, the development of robust and efficient optimization strategies are particularly relevant in this field. This paper proposes a Genetic Algorithm (GA) to address the problem of finding the optimal layout for an MHPP based on real scenario data, obtained by means of a set of experimental topographic measurements. With this end in view, a model of the plant is first developed, in terms of which the optimization problem is formulated with the constraints of minimal generated power and maximum use of flow, together with the practical feasibility of the layout to the measured terrain. The problem is formulated in both single-objective (minimization of the cost) and multi-objective (minimization of the cost and maximization of the generated power) modes, the Pareto dominance being studied in this last case. The algorithm is first applied to an example scenario to illustrate its performance and compared with a reference Branch and Bound Algorithm (BBA) linear approach, reaching reductions of more than 70% in the cost of the MHPP. Finally, it is also applied to a real set of geographical data to validate its robustness against irregular, poorly sampled domains.

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A sensitivity analysis for the design of small-scale hydropower plant: Kayabogazi case study

Cited by 37 publications

References 11 publications

The Small-Scale Hydropower Plants in Sites of Environmental Value: An Italian Case Study

The Small-Scale Hydropower Plants in Sites of Environmental Value: An Italian Case Study

Modeling and Solution Techniques Used for Hydro Generation Scheduling

An Evolutionary Computational Approach for Designing Micro Hydro Power Plants

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