EconPapers    
Economics at your fingertips  
 

Information system for wind energy trade and gross domestic product (GDP) estimating from small wind farm

Sladjana Vujicic, Zorana Nikitović, Aleksandra Golubović-Stojanović, Nenad Ravić and Milan Djuričić

Physica A: Statistical Mechanics and its Applications, 2018, vol. 506, issue C, 702-706

Abstract: Since wind energy has become a huge opportunity for changing of traditional energy types it is desirable to analyze a potential investment in wind farm projects as small business projects. Entrepreneurs will need to know future profit of the wind farm project based on their investment. The analyzing of profit of wind farms is very difficult task since it is highly nonlinear function. Also the wind energy profit is dependable on many different factors which could be included in the analysis. Therefore it is useful to develop an information system in order to make easy estimation of wind farm profit. In this article the information system was modeled by object oriented approach by using unified modeling language (UML). The information system have several modules and each of the modules should perform calculation and estimation of wind energy profit and gross domestic product (GDP) based on the profit.

Keywords: Wind farm; Investment; Small business; Software (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118305223
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:506:y:2018:i:c:p:702-706

DOI: 10.1016/j.physa.2018.04.094

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:506:y:2018:i:c:p:702-706