2020
DOI: 10.1016/j.renene.2019.12.055
|View full text |Cite
|
Sign up to set email alerts
|

A simulation – Optimization models for multi-reservoir hydropower systems design at watershed scale

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 37 publications
(12 citation statements)
references
References 21 publications
0
12
0
Order By: Relevance
“…This is why there is no repository in the PSO because there is only one objective. But in MOPSO several particles are non-dominated and are in the solution set (Hatamkhani et al 2020).…”
Section: Mopso Algorithmmentioning
confidence: 99%
“…This is why there is no repository in the PSO because there is only one objective. But in MOPSO several particles are non-dominated and are in the solution set (Hatamkhani et al 2020).…”
Section: Mopso Algorithmmentioning
confidence: 99%
“…[14] analyzed numerous sites in Brazil for potential run-of-river hydroelectric plants, using python scripts and QGIS for generating multiple regression models for river flows, flooded areas and estimates of hydropower potential. A global scale assessment of the technical and economic potential of hydropower, using cost optimization methods, was performed by [15], while similarly, the economic feasibility of multi-reservoir hydropower systems was addressed by [16], who developed a simulation-optimization model for optimal design of hydroelectric production systems. The hydropower potential under climate change has been studied, for example, in [17][18][19][20], combining hydrological modelling and downscaled meteorological output from general circulation models (GCMs).…”
Section: Introductionmentioning
confidence: 99%
“…Hydroelectric power plants that utilize watershed and subwatershed as generators can generate electricity in the range of 500 W to 1 MW. This natural potential according to some research results [6][7][8] depends on the intensity of rain, frequency of rainfall, distribution of rainfall, water discharge in river flow and environmental topography as the head source of a hydroelectric power plant in the watershed and subwatershed area. Therefore, these natural potential factors are important to be reviewed and adjusted to watershed and subwatershed areas in the Aceh province to use them as hydroelectric power plants.…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies on the use of watershed and subwatershed for hydroelectric power plants have been carried out. Research Hatamkhani et al [8] conducted a study through a simulation approach to be able to optimize the hydroelectric power plant system that utilizes the watershed Karkhe river. The results of this study report that optimization of electric power generated from the watershed with economic analysis can be modelled.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation