A small hydro power (SHP) system in Taiwan using outlet-water energy of a reservoir: System introduction and measured results

Wang, Li; Lee, Dong-Jing; Jian-hong, Liu; Chen, Zan-Zia; Kuo, Zone-Yuan; Lee, Wei-Jen; Hsu, Jin-Shi; Chen, Cheng-Mei; Chiu, Shen-Syi; Tsai, M. H.; Lin, Wen-Ying; Li, Yuan-Chung

doi:10.1109/pes.2009.5275958

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Only 231 of them could be accepted as somehow-somewhat relevant (e.g., environmental impact statements, evaluating power generation, planning hydropower production) according to the subjective evaluation, or the author's point of view (e.g., Kishore et al, 2021;Laks et al, 2023). Among them, only 26 of them were more relevant (e.g., site selection, performance evaluation) to the current scope (author's point of view) (Roy et al, 2014;Wang et al 2009). Only three most relevant publications, excluding the author's own works, were summarized in this section considering There were 2170 results/documents in the 1 st literature review period (before submission until 04 th October 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

An Experimental Private Small Hydropower Plant Investments Selection Classification System

Saracoglu

2023

JDSIS

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Investment selection problems and models are crucial for humans, communities, and states. Private small hydroelectric power/hydropower plant investments (PSHPPIs) selection problem is a unique one in those problems and models. Many available scientific methods can be implemented on this research topic. One of them is type-2 Mamdani's type fuzzy inference systems (FISs). This study presents an experimental one-node general type-2 4-zslices Mamdani's type FIS model for PSHPPIs selection. There are 3 input variables (total estimated electricity generation: M1, total estimated cost: M2, change in the average runoff: M3), 1 output variable (O1: selected/unselected, selection classification of PSHPPIs), and 49 rules. M1 is designed in 5 triangular and trapezoidal general type-2 4-zslices fuzzy membership functions (MFs), M2 in 5 triangular and trapezoidal general type-2 4-zslices fuzzy MFs, M3 in 5 Gaussian type-2 4-zslices fuzzy MFs, and O1 in 2 Gaussian type-2 4-zslices fuzzy MFs. All modeling details are finalized by a human-expert decision process. JuzzyOnline V2.0, a browser-based platform of Juzzy (a Java-based library: Juzzy toolkit), is used for all FIS modeling and calculation activities. 5 PSHPPI options assumed to be in their very early investment stages in Turkiye are evaluated in an experimental application. It is clear that an improved, tuned, and fine-tuned version of this model will help private investors to take more convenient/satisfying actions/decisions in a very short evaluation period in their PSHPPIs decision processes. An automatic investment selection classification system can be built in an appropriate development period after experiencing many methods and models. This study is one of the open-science humanoid robot, robot and platform development activities entitled Global Power Robots and Platforms: GPRP/GPRAP (Global Power Plants Developers: GP2D/G2PD/GPPD, Global Power Plants Engineers: GP2E/G2PE/GPPE, Global Power Plants Owners: GP2O/G2PO/GPOO, Global Power Prediction Systems: GP2S/G2PS/GPPS), Global Profile Analyses Systems (GPAS), and Global Social Network Analyses Systems (GSNAS).

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Section: Literature Reviewmentioning

confidence: 99%

An Experimental Private Small Hydropower Plant Investments Selection Classification System

Saracoglu

2023

JDSIS

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“…[3]. However, these problems are curbed by SHPP developments, in particular, run-of-the river type SHPPs [4], [5], [6], [7]. Large hydro power plants can also have significant impact on the environment, while small hydro power plants usually have small reservoirs requiring little civil construction works and hence have much smaller effect on their surroundings.…”

Section: Introductionmentioning

confidence: 99%

Refurbishment of small hydro power plant

Bojic¹,

Božič²,

Pavlica³

2012

2012 International Conference on Renewable Energy Research and Applications (ICRERA)

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One of the two hydro turbine-generator sets in small hydropower plant has become inoperable due to generator stator winding failure. Considering the age of the plant, together with generator repairs, more comprehensive plant refurbishment options have been analysed. The optimal solution is chosen, one that provides improved reliability, increased electricity production with best financial and economic indicators.

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