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Research Papers: Alternative Energy Sources

Optimization in Distributing Wind Generators on Different Places for Energy Demand Tracking

[+] Author and Article Information
Stefano Elia

e-mail: stefano.elia@uniroma1.it

Marc Gasulla

e-mail: m.gasulla@hotmail.com

Antonio De Francesco

e-mail: antodefrancesco@gmail.com
Department of Electrical Engineering,
University of Rome “La Sapienza,”
Via Eudossiana 18,
00184 Rome, Italy

Contributed by the Advanced Energy Systems Division of ASME for publication in the Journal of Energy Resources Technology. Manuscript received March 21, 2011; final manuscript received August 8, 2012; published online October 19, 2012. Assoc. Editor: Gunnar Tamm.

J. Energy Resour. Technol 134(4), 041202 (Oct 19, 2012) (7 pages) doi:10.1115/1.4007656 History: Received March 21, 2011; Revised August 08, 2012

Generation of distributed wind energy systems is being investigated as an answer to increased energy demand, since these systems achieve both economic and energy benefits. The purpose of the present article is to demonstrate a new method developed by the authors that optimizes the design of a wind production plant. Traditionally, the design strategy is primarily based on maximizing the economic benefit, to the detriment of other technical aspects. This study proposes a plant design method that, in a future with decreased governmental incentives, adapts the daily production curve to the demand curve with minimal decrease in economic benefit—a highly desirable result. This is achieved by installing generators in several locations that have different features of daily wind speed. In this way a better use of the energy is encouraged.

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References

Figures

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Fig. 1

World total installed energy production capacity up to 2010

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Fig. 2

DD between demand and production (DP) with traditional installation method

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Fig. 3

Ideal daily production using the new method

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Fig. 4

Data acquisition part of the program

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Fig. 5

Block diagram of the implementation of the new method in the program

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Fig. 6

Plants installation area

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Fig. 7

Daily mean wind speed in considered locations

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Fig. 8

Power curve of the generator

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Fig. 9

Hourly power trend for a turbine in each location

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Fig. 12

Results: NM compared to TM

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Fig. 13

Wind energy production revenue per MWh in nine EU countries, with incentives

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Fig. 14

Share of gross energy production from RES in nine EU countries

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