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Impact of climate change on small sc...

Roy, Uttam.

Impact of climate change on small scale hydro-turbine selections

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Impact of climate change on small scale hydro-turbine selections/ by Uttam Roy, Mrinmoy Majumder.
Author:	Roy, Uttam.
other author:	Majumder, Mrinmoy.
Published:	Singapore :Springer Singapore : : 2016.,
Description:	ix, 45 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Hydraulic turbines. -
Online resource:	http://dx.doi.org/10.1007/978-981-287-239-5
ISBN:	9789812872395

Impact of climate change on small scale hydro-turbine selections
Roy, Uttam.

Impact of climate change on small scale hydro-turbine selections[electronic resource] /by Uttam Roy, Mrinmoy Majumder. - Singapore :Springer Singapore :2016. - ix, 45 p. :ill., digital ;24 cm. - SpringerBriefs in energy,2191-5520. - SpringerBriefs in energy..

Hydropower is found to be one of the most reliable and inexpensive options for renewable energy which was now widely been adopted by many countries to substitute fossil fuel sources. This Brief highlights the impact of climate change on hydropower plants, especially on the turbine design, as turbines are responsible for optimal conversion and regular energy production. The vulnerability of turbines is analyzed with the help of Artificial Neural Networks, followed by Multi Criteria Decision Making methods for development of intelligent indices to represent the level of vulnerability of turbines due to the change in climate.

ISBN: 9789812872395

Standard No.: 10.1007/978-981-287-239-5doiSubjects--Topical Terms:

1107827
Hydraulic turbines.

LC Class. No.: TJ870

Dewey Class. No.: 621.24

Impact of climate change on small scale hydro-turbine selections
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520 $a Hydropower is found to be one of the most reliable and inexpensive options for renewable energy which was now widely been adopted by many countries to substitute fossil fuel sources. This Brief highlights the impact of climate change on hydropower plants, especially on the turbine design, as turbines are responsible for optimal conversion and regular energy production. The vulnerability of turbines is analyzed with the help of Artificial Neural Networks, followed by Multi Criteria Decision Making methods for development of intelligent indices to represent the level of vulnerability of turbines due to the change in climate.
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