scholarly journals An Experimental Research Study on the Solution of a Private Small Hydropower Plant Investments Selection Problem by ELECTRE III/IV, Shannon’s Entropy, and Saaty’s Subjective Criteria Weighting

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
Burak Omer Saracoglu
Keyword(s):  
Experimental Research ◽  
Electricity Generation ◽  
Research Study ◽  
Private Investment ◽  
Shannon’S Entropy ◽  
Hydropower Plant ◽  
Small Hydropower ◽  
Electre Iii ◽  
Shannon's Entropy ◽  
Private Investors

Almost all of the today’s modern daily life conditions of humankind depend on the electricity. The countries either by only themselves or sometimes with some international intuitions and/or organizations have been trying to find the best methods, ways, and projects to supply the electricity to their societies. One of the important tools for the countries to increase the amount and quality of the electricity generation is to activate/ignite/initiate the private investment capabilities/opportunities. The electricity generation market in Turkey is a free/open market for both the foreign and domestic private investors. Hence, both the foreign and domestic private investors have been looking for the most suitable electricity generation plant projects. Small hydropower plant (SHPP) investments (SHPPIs) are one of the alternatives in the Turkish electricity generation market especially for the private investors searching for the renewable energy investments. This experimental research study investigates the possibility of using the ELECTRE III/IV, Shannon’s Entropy, and Saaty’s Analytic Hierarchy Process (AHP) subjective weighting (for criteria) methods for the solution of this problem. In the experimental case study, the most appropriate SHPPIs amongst five alternative SHPPIs at the SHPPIs’ predevelopment investment stages in Turkey were evaluated and ranked in order.

scholarly journals A COMPARATIVE STUDY OF AHP, ELECTRE III & ELECTRE IV BY EQUAL OBJECTIVE & SHANNON’S ENTROPY OBJECTIVE & SAATY’S SUBJECTIVE CRITERIA WEIGHTING IN A PRIVATE SMALL HYDROPOWER PLANTS INVESTMENTS SELECTION PROBLEM

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
Burak Omer Saracoglu
Keyword(s):  
Comparative Investigation ◽  
Unified Model ◽  
Shannon’S Entropy ◽  
Hydropower Plant ◽  
Small Hydropower ◽  
Analytic Hierarchy ◽  
Energy Investment ◽  
Electre Iii ◽  
Shannon's Entropy ◽  
Critical Issues

<p>Private small hydropower plant investments are more challenging than medium and large private hydropower plant investments when considering engineering analysis. One of the necessary tasks is the selection of the most appropriate private small hydropower investment amongst several alternatives. Brokerage, consultancy and private investor activities are a few examples of these kinds of real world activities. There are many multi-criteria decision making (MCDM) or multiple-criteria decision analysis (MCDA) methods, and different researchers prefer different methods This research study investigates three methods at once for the same problem: Analytic Hierarchy Process (AHP), Elimination and Choice Translating Reality (ELECTRE) III and ELECTRE IV. A comparative investigation is conducted on one simple unique selection model for all three methods. This unified model has seven objective factors (catchment area, project runoff, net head, flow rate, firm energy, secondary energy, investment cost). An additional comparison is also made on the criteria weighting amongst equal objective, Shannon’s Entropy objective and Saaty’s subjective criteria weighting. The simplistic unified model is structured in three levels. There are seven alternatives in the pre-development investment stage. The Super Decisions software and the ELECTRE III-IV software are implemented in this study. The pairwise comparisons of factors results in an inconsistency value of 0,09511 which is 7<sup>th</sup> in the Saaty's AHP weighting. The Shannon’s Entropy objective weighting represents a difference in the rate of the expert decision maker’s evaluations ranging between -67% and 671%. The equal weighting represents a rate change between -64% and 626%. Both approaches can't represent human judgments (here only one expert decision maker) well in this model. Fortunately, the same alternative (Alternative 3) ranks first. These findings promise that further studies on this subject can give some clues for the development of an autonomous computer based intelligent decision support system. Some observed pros and cons of these methods are also presented in this study. The observations and critical issues are presented during modeling, application, evaluation and analysis to help researchers, consultants, and readers in the small hydropower investments research and practical fields.  </p>

scholarly journals A qualitative multi-attribute model for the selection of the private hydropower plant investments in Turkey: By foundation of the search results clustering engine (Carrot2), hydropower plant clustering, DEXi and DEXiTree

2016 ◽  
Vol 9 (1) ◽  
pp. 152
Author(s):  
Burak Omer Saracoglu
Keyword(s):  
Electricity Generation ◽  
Clustering Algorithm ◽  
Main Property ◽  
Electricity Demand ◽  
Hydropower Plant ◽  
Data Set ◽  
Search Results ◽  
Private Investors ◽  
Selection Of ◽  
Search Results Clustering

Purpose: The electricity demand in Turkey has been increasing for a while. Hydropower is one of the major electricity generation types to compensate this electricity demand in Turkey. Private investors (domestic and foreign) in the hydropower electricity generation sector have been looking for the most appropriate and satisfactory new private hydropower investment (PHPI) options and opportunities in Turkey. This study aims to present a qualitative multi-attribute decision making (MADM) model, that is easy, straightforward, and fast for the selection of the most satisfactory reasonable PHPI options during the very early investment stages (data and information poorness on projects).Design/methodology/approach: The data and information of the PHPI options was gathered from the official records on the official websites. A wide and deep literature review was conducted for the MADM models and for the hydropower industry. The attributes of the model were identified, selected, clustered and evaluated by the expert decision maker (EDM) opinion and by help of an open source search results clustering engine (Carrot2) (helpful for also comprehension). The PHPI options were clustered according to their installed capacities main property to analyze the options in the most appropriate, decidable, informative, understandable and meaningful way. A simple clustering algorithm for the PHPI options was executed in the current study. A template model for the selection of the most satisfactory PHPI options was built in the DEXi (Decision EXpert for Education) and the DEXiTree software.Findings: The basic attributes for the selection of the PHPI options were presented and afterwards the aggregate attributes were defined by the bottom-up structuring for the early investment stages. The attributes were also analyzed by help of Carrot2. The most satisfactory PHPI options in Turkey in the big options data set were selected for each PHPI options cluster by the EDM evaluations in the DEXi.Originality/value: The recommended DEXi PHPI selection model by the search results clustering engine within a country wise case offered the possibility of easy, meaningful and satisfying continental or worldwide applications for the private investors and the international financial institutions such as the African Development Bank, or the World Bank was the main contribution.

scholarly journals AN AHP APPLICATION IN THE INVESTMENT SELECTION PROBLEM OF SMALL HYDROPOWER PLANTS IN TURKEY

2015 ◽  
Vol 7 (2) ◽  
Author(s):  
Burak Omer Saracoglu
Keyword(s):  
Electricity Generation ◽  
Electricity Consumption ◽  
Feasibility Studies ◽  
Decision Makers ◽  
Hydropower Plant ◽  
Small Hydropower ◽  
Analytic Hierarchy ◽  
Hydropower Plants ◽  
Four Levels ◽  
Hierarchy Process

<p>Turkey is a country that has had to deal with high electricity consumption due to its rapid growth and development. Attempts have been made to address this increase in demand by increasing the electricity supply by means such as boosting resources by privatization. The electricity generation sector has been privatized in Turkey; hence investors have been looking for the most appropriate electricity generation projects for a long while. Therefore, researchers and practitioners should focus on how the most suitable small hydropower plant project (SHPP) investments can be selected. In this study, the Analytic Hierarchy Process (AHP) was applied to make the most appropriate and satisfying decision according to the decision makers, experts or investors for a SHPP investment from amongst some alternative SHPP investments in Turkey. All of these SHPPs were assumed to be in the pre-development investment stage, which indicated that their pre-feasibility and feasibility studies had not been presented or taken into consideration until this study was performed. This main constraint forced the researchers to obtain the data and information from the information forms such as the application document to the General Directorate of State Hydraulic Works during the data and information gathering process. The AHP model of this study was structured in four levels with five main criteria, seventeen basic criteria and five alternatives on the Super Decisions Software. The results indicated that Alternative 1 and Alternative 5 should be primarily investigated in detail in subsequent SHPP investment investigation steps.</p>

scholarly journals Development of a Hydropower Turbine Using Seawater from a Fish Farm

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 266
Author(s):  
Md Rakibuzzaman ◽  
Sang-Ho Suh ◽  
Hyoung-Ho Kim ◽  
Youngtae Ryu ◽  
Kyung Yup Kim
Keyword(s):  
Power Plants ◽  
Guide Vane ◽  
Cross Flow ◽  
Synchronous Generator ◽  
Fish Farm ◽  
Hydropower Plant ◽  
Fish Farms ◽  
Data Simulation ◽  
Small Hydropower ◽  
Hydropower Plants

Discharge water from fish farms is a clean, renewable, and abundant energy source that has been used to obtain renewable energy via small hydropower plants. Small hydropower plants may be installed at offshore fish farms where suitable water is obtained throughout the year. It is necessary to meet the challenges of developing small hydropower systems, including sustainability and turbine efficiency. The main objective of this study was to investigate the possibility of constructing a small hydropower plant and develop 100 kW class propeller-type turbines in a fish farm with a permanent magnet synchronous generator (PMSG). The turbine was optimized using a computer simulation, and an experiment was conducted to obtain performance data. Simulation results were then validated with experimental results. Results revealed that streamlining the designed shape of the guide vane reduced the flow separation and improved the efficiency of the turbine. Optimizing the shape of the runner vane decreased the flow rate, reducing the water power and increasing the efficiency by about 5.57%. Also, results revealed that tubular or cross-flow turbines could be suitable for use in fish farm power plants, and the generator used should be waterproofed to avoid exposure to seawater.

scholarly journals Fishways as Downstream Routes in Small Hydropower Plants: Experiences with a Potamodromous Cyprinid

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1041
Author(s):  
Francisco Javier Sanz-Ronda ◽  
Juan Francisco Fuentes-Pérez ◽  
Ana García-Vega ◽  
Francisco Javier Bravo-Córdoba
Keyword(s):  
General Assumption ◽  
Downstream Migration ◽  
Life Cycles ◽  
Hydropower Plant ◽  
Small Hydropower ◽  
Pit Tag ◽  
Safe Alternative ◽  
Hydropower Plants ◽  
Longitudinal Connectivity ◽  
Alternative Routes

Fish need to move upstream and downstream through rivers to complete their life cycles. Despite the fact that fishways are the most commonly applied solution to recover longitudinal connectivity, they are not considered viable for downstream migration. Therefore, alternative facilities are recommended to facilitate downstream migration. However, a few recent studies have disagreed with this general assumption, showing the potential for bidirectional movements. This study advances our understanding of the potential of fishways for downstream migration by studying their efficiency in a run-of-the-river hydropower plant in the Duero River (Spain). To achieve this, downstream movements of the Iberian barbel (n = 299) were monitored in a stepped fishway for two years with passive integrated transponder (PIT)-tag technology, considering the effect of fish origin and release zone. The results showed that 24.9% of barbels descended through the fishway, with the origin and release zone affecting the fishway location. In addition, downstream movements were observed throughout the whole year, except in winter. The study concludes that, under specific scenarios, fishways could act as safe alternative routes for downstream migration.

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