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.

Copyright © 2012 by ASME
Your Session has timed out. Please sign back in to continue.



Grahic Jump Location
Fig. 1

World total installed energy production capacity up to 2010

Grahic Jump Location
Fig. 2

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

Grahic Jump Location
Fig. 3

Ideal daily production using the new method

Grahic Jump Location
Fig. 4

Data acquisition part of the program

Grahic Jump Location
Fig. 5

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

Grahic Jump Location
Fig. 6

Plants installation area

Grahic Jump Location
Fig. 7

Daily mean wind speed in considered locations

Grahic Jump Location
Fig. 8

Power curve of the generator

Grahic Jump Location
Fig. 9

Hourly power trend for a turbine in each location

Grahic Jump Location
Fig. 12

Results: NM compared to TM

Grahic Jump Location
Fig. 13

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

Grahic Jump Location
Fig. 14

Share of gross energy production from RES in nine EU countries




Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In