Journal of Investment and Management

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An Experimental Research of Small Hydropower Plant Investments Selection in Turkey by Carrot2, DEXi, DEXiTree

Received: 18 July 2015    Accepted: 22 July 2015    Published: 29 July 2015
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Abstract

Nowadays, human daily lives depend very much to electricity. Hence, electricity generation plays a key role not only in countries' economies, but also in people's welfare and comfort in any region. This situation isn't also different for Turkey. Turkish electricity generation policy gives the opportunity for foreign and domestic private investments plans and schemes. Private investors have many private power plant investment options to invest in Turkey. One of the main groups is hydropower plants. Small hydropower plant investments are grouped under the hydropower plant investments. Their characteristics are very different from other types of hydropower plants. This experimental research study investigates the possibility of using a qualitative Multi Attribute Decision Making (MADM) model based on DEXi (Decision EXpert for Education) and DEXiTree software. Attributes in the current experimental research model are analyzed by help of a text mining tool Carrot2. In the experimental case study, the most appropriate small hydropower plant investments amongst five alternative ones at the predevelopment investment stages (an assumption) in Turkey are evaluated, and prioritized by help of seventeen basic factors (catchment area, project runoff, net head, discharge, firm energy, secondary energy, investment cost, river basin, conveyance structure, community attitude, transportation, topography, geology, security conditions, terrorism conditions, protected areas, substation conditions) based on the experimental DEXi decision model. There are some interesting findings such as Option 5 gets the highest priority in the overall experimental decision model. Similarly, Option 5 has the very good preference in the objective attributes evaluation. Option 3 comes afterwards with the good preference. But, both Option 4 and Option 5 get the good preference in the subjective attributes evaluation. The DEXi model file (*.dxi) is also presented to readers for giving opportunity to readers for preparing their models based on this experimental research model. This experimental research study is seen as another very small research step to deeply understand the nature of the small hydropower plants investments decisions in the way of developing an autonomous computer based intelligent decision support system for the real world cases.

DOI 10.11648/j.jim.20150401.17
Published in Journal of Investment and Management (Volume 4, Issue 1, February 2015)
Page(s) 47-60
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Carrot2, DEXi, DEXiTree, Investment, Multi Attribute Decision Making, Private, Small Hydropower, Turkey

References
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Author Information
  • Orhantepe Mahallesi, Tekel Caddesi, Geziyolu Sokak, Dragos, Kartal, Istanbul, Turkey

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    Burak Omer Saracoglu. (2015). An Experimental Research of Small Hydropower Plant Investments Selection in Turkey by Carrot2, DEXi, DEXiTree. Journal of Investment and Management, 4(1), 47-60. https://doi.org/10.11648/j.jim.20150401.17

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    Burak Omer Saracoglu. An Experimental Research of Small Hydropower Plant Investments Selection in Turkey by Carrot2, DEXi, DEXiTree. J. Invest. Manag. 2015, 4(1), 47-60. doi: 10.11648/j.jim.20150401.17

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    Burak Omer Saracoglu. An Experimental Research of Small Hydropower Plant Investments Selection in Turkey by Carrot2, DEXi, DEXiTree. J Invest Manag. 2015;4(1):47-60. doi: 10.11648/j.jim.20150401.17

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  • @article{10.11648/j.jim.20150401.17,
      author = {Burak Omer Saracoglu},
      title = {An Experimental Research of Small Hydropower Plant Investments Selection in Turkey by Carrot2, DEXi, DEXiTree},
      journal = {Journal of Investment and Management},
      volume = {4},
      number = {1},
      pages = {47-60},
      doi = {10.11648/j.jim.20150401.17},
      url = {https://doi.org/10.11648/j.jim.20150401.17},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.jim.20150401.17},
      abstract = {Nowadays, human daily lives depend very much to electricity. Hence, electricity generation plays a key role not only in countries' economies, but also in people's welfare and comfort in any region. This situation isn't also different for Turkey. Turkish electricity generation policy gives the opportunity for foreign and domestic private investments plans and schemes. Private investors have many private power plant investment options to invest in Turkey. One of the main groups is hydropower plants. Small hydropower plant investments are grouped under the hydropower plant investments. Their characteristics are very different from other types of hydropower plants. This experimental research study investigates the possibility of using a qualitative Multi Attribute Decision Making (MADM) model based on DEXi (Decision EXpert for Education) and DEXiTree software. Attributes in the current experimental research model are analyzed by help of a text mining tool Carrot2. In the experimental case study, the most appropriate small hydropower plant investments amongst five alternative ones at the predevelopment investment stages (an assumption) in Turkey are evaluated, and prioritized by help of seventeen basic factors (catchment area, project runoff, net head, discharge, firm energy, secondary energy, investment cost, river basin, conveyance structure, community attitude, transportation, topography, geology, security conditions, terrorism conditions, protected areas, substation conditions) based on the experimental DEXi decision model. There are some interesting findings such as Option 5 gets the highest priority in the overall experimental decision model. Similarly, Option 5 has the very good preference in the objective attributes evaluation. Option 3 comes afterwards with the good preference. But, both Option 4 and Option 5 get the good preference in the subjective attributes evaluation. The DEXi model file (*.dxi) is also presented to readers for giving opportunity to readers for preparing their models based on this experimental research model. This experimental research study is seen as another very small research step to deeply understand the nature of the small hydropower plants investments decisions in the way of developing an autonomous computer based intelligent decision support system for the real world cases.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - An Experimental Research of Small Hydropower Plant Investments Selection in Turkey by Carrot2, DEXi, DEXiTree
    AU  - Burak Omer Saracoglu
    Y1  - 2015/07/29
    PY  - 2015
    N1  - https://doi.org/10.11648/j.jim.20150401.17
    DO  - 10.11648/j.jim.20150401.17
    T2  - Journal of Investment and Management
    JF  - Journal of Investment and Management
    JO  - Journal of Investment and Management
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    PB  - Science Publishing Group
    SN  - 2328-7721
    UR  - https://doi.org/10.11648/j.jim.20150401.17
    AB  - Nowadays, human daily lives depend very much to electricity. Hence, electricity generation plays a key role not only in countries' economies, but also in people's welfare and comfort in any region. This situation isn't also different for Turkey. Turkish electricity generation policy gives the opportunity for foreign and domestic private investments plans and schemes. Private investors have many private power plant investment options to invest in Turkey. One of the main groups is hydropower plants. Small hydropower plant investments are grouped under the hydropower plant investments. Their characteristics are very different from other types of hydropower plants. This experimental research study investigates the possibility of using a qualitative Multi Attribute Decision Making (MADM) model based on DEXi (Decision EXpert for Education) and DEXiTree software. Attributes in the current experimental research model are analyzed by help of a text mining tool Carrot2. In the experimental case study, the most appropriate small hydropower plant investments amongst five alternative ones at the predevelopment investment stages (an assumption) in Turkey are evaluated, and prioritized by help of seventeen basic factors (catchment area, project runoff, net head, discharge, firm energy, secondary energy, investment cost, river basin, conveyance structure, community attitude, transportation, topography, geology, security conditions, terrorism conditions, protected areas, substation conditions) based on the experimental DEXi decision model. There are some interesting findings such as Option 5 gets the highest priority in the overall experimental decision model. Similarly, Option 5 has the very good preference in the objective attributes evaluation. Option 3 comes afterwards with the good preference. But, both Option 4 and Option 5 get the good preference in the subjective attributes evaluation. The DEXi model file (*.dxi) is also presented to readers for giving opportunity to readers for preparing their models based on this experimental research model. This experimental research study is seen as another very small research step to deeply understand the nature of the small hydropower plants investments decisions in the way of developing an autonomous computer based intelligent decision support system for the real world cases.
    VL  - 4
    IS  - 1
    ER  - 

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