Decision Making Algorithms for Hydro-Power Plant Location

  • Mrinmoy Majumder
  • Soumya Ghosh

Part of the SpringerBriefs in Energy book series (BRIEFSENERGY)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Mrinmoy Majumder, Soumya Ghosh
    Pages 1-14
  3. Mrinmoy Majumder, Soumya Ghosh
    Pages 15-19
  4. Mrinmoy Majumder, Soumya Ghosh
    Pages 21-26
  5. Mrinmoy Majumder, Soumya Ghosh
    Pages 27-34
  6. Mrinmoy Majumder, Soumya Ghosh
    Pages 35-56
  7. Mrinmoy Majumder, Soumya Ghosh
    Pages 57-68
  8. Mrinmoy Majumder, Soumya Ghosh
    Pages 69-73

About this book

Introduction

The present study has attempted to apply the advantage of neuro-genetic algorithms for optimal decision making in maximum utilization of natural resources. Hydro-power is one of the inexpensive, but a reliable source of alternative energy which is foreseen as the possible answer to the present crisis in the energy sector. However, the major problem related to hydro-energy is its dependency on location. An ideal location can produce maximum energy with minimum loss. Besides, such power-plant also requires substantial amount of land which is a precious resource nowadays due to the rapid and uncontrolled urbanization observed in most of the urban centres in the World. The feasibility of such plants also depends on social acceptance as well as the level of environmental casualty and economic benefit, all of which is also spatially dependent. Decision making algorithms are applied to identify better solution if a problem has more than one alternative explication. Nature based algorithms are found to be efficient enough to catalyze such kind of decision making analysis. That is why the present study tries to utilize nature based algorithms to solve the problems of location selection for hydropower plants. The study employed six different types of nature based algorithms to select one of the locations among many available for installation of hydropower plant in the North Eastern part of the Indian subcontinent. The locations are selected based on their in stream resources and included in the decision making as alternatives. A methodology of criteria selection, determination of weightage and applications of bioinspired algorithms are adopted to produce utmost exertion of the available natural resources with minimum hostility and wastage of the same.

Keywords

Analytical Hierarchy Process Bat Algorithm Bioinspired Algorithms Decision Making Algorithms Fuzzy Logic Hydro-Power Plants Hydro-energy Nature based Algorithms Neuro-genetic Algorithms

Authors and affiliations

  • Mrinmoy Majumder
    • 1
  • Soumya Ghosh
    • 2
  1. 1.National Institute of TechnologyAgartalaIndia
  2. 2.Engineering & ManagementGreater Kolkata College ofKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-4451-63-5
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, Singapore
  • eBook Packages Energy
  • Print ISBN 978-981-4451-62-8
  • Online ISBN 978-981-4451-63-5
  • Series Print ISSN 2191-5520
  • Series Online ISSN 2191-5539
  • About this book