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Book cover Decision Making Algorithms for Hydro-Power Plant Location

Part of the book series: SpringerBriefs in Energy ((BRIEFSENERGY))

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Abstract

The global energy scenario highlights the growth in demand for fossil fuels due to the continuous development in technology and the socioeconomic scenario of the world. This increase in demand of fossil fuels and utilization of the same to sustain development has enforced stress on the resources. Also, uncontrolled use of fossil fuels has increased the total concentration of greenhouse gases, which in turn has become a major cause of global warming. As a result the climate of many places has displayed abnormality. The pollution content of various places is also aggravated due to the rampant use of fossil fuels. That is why an alternative to fossil fuel is now being searched. Some of the sources of energy like solar, wind, and hydro-energy are infinitely available but the technology to convert it into utilizable form is expensive. Among all these renewable energy sources, hydro-energy is found to be relatively inexpensive and available at a greater phase of time than other similar kinds of energy resources. However,most of the factors which are considered in the feasibility studies for HPP is location dependent. The requirement of population displacement from the project watershed depends on location of the project. The amount of utilizable hydro-kinetic energy also is a function of both space and time. Not only the location dependency of factors but influence of all the factors on generation capacity is not uniform. For example the influence of amount of flow available in the project location is more important than the area of forest which are required to be removed from the project area. That is why both the importance of the factors and its location dependency must be considered in any feasibility studies for HPP. If the site selection is performed logically and scientifically, considering the importance of all the socioeconomic, geophysical, and logistical factors, then only such project may optimally satisfy the present demand for energy. In this regard decision-making algorithms like neural network, fuzzy logic, bat algorithms, and analytical hierarchy process along with hybrid models like neurogenetic and neuro-fuzzy which are popular for their intuistic decision making abilities were applied to identify the ideal sites for installation of hydropower.

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Authors and Affiliations

  1. National Institute of Technology, Agartala, India

    Mrinmoy Majumder

  2. Greater Kolkata College of Engineering and Management, Kolkata, India

    Soumya Ghosh

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  1. Mrinmoy Majumder
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  2. Soumya Ghosh
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Correspondence to Mrinmoy Majumder .

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Majumder, M., Ghosh, S. (2013). Introduction. In: Decision Making Algorithms for Hydro-Power Plant Location. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-4451-63-5_1

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  • DOI: https://doi.org/10.1007/978-981-4451-63-5_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4451-62-8

  • Online ISBN: 978-981-4451-63-5

  • eBook Packages: EnergyEnergy (R0)

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