Decision Making Algorithms for Hydro-Power Plant Location (eBook)

Soumya Ghosh, Mrinmoy Majumder (Autoren)

eBook Download: PDF

2013 | 2013
VI, 73 Seiten
Springer Singapore (Verlag)
978-981-4451-63-5 (ISBN)

Infos

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.

Dr. Mrinmoy Majumder is an Assistant Professor in the School of Hydro-Informatics Engineering at the National Institute of Technology Agartala, India. He completed his PhD in 2010 from Jadavpur University. His current research interests are on Hydro-informatics, Natural resource management and Nature based algorithms. He has published more than 25 papers in various national and international journals and has authored 4 books.
Mr. Soumya  Ghosh is a Lecturer of Greater Kolkata Institute of Technology and Management, India. He completed his Master of Technology from School of Water Resource Engineering, Jadavpur University in 2010. His current research interests are in the field of renewable energy, tidal power and electrical machines.

Inhalt

1. Introduction   1.1. Energy Scenario   1.2. Threats to Natural Resources   1.3. Potential of Hydro-energy as a Possible Alternative               1.4. Decision Making Algos    1.5. Objective and Brief Methodology   1.6. Locations Considered as Alternatives         1.6.1. River Chenab         1.6.2. River Danube         1.6.3. River Yukon2. Hydro Power Plants     2.1. Classification of Hydro-Power Plant     2.1.1. Classification according to Quantity of water     2.1.2. Classification according to availability of water head         2.1.3. Classification according to nature of load      2.2. Advantages of Hydropower Plant      2.3. Disadvantages of Hydropower Plant 3. Decision Making Methodology     3.1. Procedures of Decision Making     3.2. Multi-Attribute Decision Making     3.3. Performance Metrics: KAPPA Coefficient of Agreements     3.3. 1.Interpretation of KAPPA Coefficient of Agreement 4. Nature Based Algorithms      4.1. Artificial Neural Networks     4.2. Genetic Algorithms      4.3. Fuzzy Logic      4.4. BAT Algorithm     4.5. Analytical Hierarchy Process (AHP)         4.5.1. Advantage of the analytical hierarchy process (AHP)        4.5.2. Principle of the analytical hierarchy process (AHP)        4.5.3. Steps of the analytical hierarchy process (AHP) 5.  Methodology     5.1. Decision Making Factors      5.2. Nature Based Algorithm  6. Result & Discussion 7. Conclusion  7.1. Limitations  7.2 Future scope

Produkt-Details

• Erscheint lt. Verlag: 6.6.2013
• Reihe/Serie: SpringerBriefs in Energy
• Reihe/Serie: SpringerBriefs in Energy
• Zusatzinfo: VI, 73 p. 6 illus.
• Verlagsort: Singapore
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
• Themenwelt: Naturwissenschaften ► Physik / Astronomie
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Wirtschaft
• Schlagworte: Analytical Hierarchy Process • Bat Algorithm • bioinspired algorithms • Decision Making Algorithms • Fuzzy Logic • Hydro-energy • Hydro-Power Plants • Nature based Algorithms • Neuro-genetic Algorithms
• ISBN-10: 981-4451-63-0 / 9814451630
• ISBN-13: 978-981-4451-63-5 / 9789814451635