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Estimation of Uncertainty of Wind Energy Predictions - With Application to Weather Routing and Wind Power Generation (Hardcover, New edition) Loot Price: R1,388
Discovery Miles 13 880
Repayment Terms: R130 pm x 12*
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Estimation of Uncertainty of Wind Energy Predictions - With Application to Weather Routing and Wind Power Generation...

Estimation of Uncertainty of Wind Energy Predictions - With Application to Weather Routing and Wind Power Generation (Hardcover, New edition)

David Zastrau

Series: Maritime Logistik / Maritime Logistics, 9

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Loot Price R1,388 Discovery Miles 13 880 | Repayment Terms: R130 pm x 12*

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Currently, a new generation of fuel-efficient ships, which use wind force in addition to conventional propulsion technology, is being developed. This study describes a mathematical method for a probabilistic estimate of the wind propulsion force on a ship route. The method is based on quantile regression, which makes it suitable for various ship routes with variable weather conditions. Furthermore, the author takes different macro weather situations into account for the calculation of the statistical distributions. He validates the results for a multi-purpose carrier, a ship route in the North Atlantic Ocean and archived weather forecasts. It showed that the wind force can be estimated more accurately if the macro weather situation is taken into account properly.

General

Imprint: Peter Lang Ag
Country of origin: Switzerland
Series: Maritime Logistik / Maritime Logistics, 9
Release date: March 2017
First published: 2017
Authors: David Zastrau
Dimensions: 210 x 148 x 15mm (L x W x T)
Format: Hardcover
Pages: 123
Edition: New edition
ISBN-13: 978-3-631-71885-8
Categories: Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > Alternative & renewable energy industries
Books > Earth & environment > Earth sciences > Meteorology > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
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LSN: 3-631-71885-3
Barcode: 9783631718858

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