Economic risk analysis of decentralized renewable energy infrastructures – A Monte Carlo Simulation approach
Uwe Arnold and
Özgür Yildiz
Renewable Energy, 2015, vol. 77, issue C, 227-239
Abstract:
There are several different economic barriers such as high up-front capital costs, high transaction costs and diverse risks (e.g. performance and technical, contract risks, market risks) that keep potential investors or institutional lenders from investing in decentralized renewable energy technologies (RETs). Therefore, suitable business models, specific financing concepts and advanced risk management tools to deal with issues concerning transaction costs and financial risks are required to support RET investments.
Keywords: Renewable energy technologies; Monte Carlo Simulation; Risk analysis; Simulation applications; Financial engineering; Bioenergy (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (61)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148114007897
Full text for ScienceDirect subscribers only
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:renene:v:77:y:2015:i:c:p:227-239
DOI: 10.1016/j.renene.2014.11.059
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().