Volume 6, Issue 22 (12-2015)                   jemr 2015, 6(22): 189-231 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

ghaemiasl M, Salimifar M, Mahdavi Adeli M H, Rajabi Mashhadi M. Spot-Hourly Pricing of Hybrid Power Production with Penetration of Maximum Renewable Electricity Potential into Power Generation System by Analytical Programming Approach (Case Study: Khorasan Regional Electricity Company). jemr 2015; 6 (22) :189-231
URL: http://jemr.khu.ac.ir/article-1-1137-en.html
1- Ferdowsi University of Mashhad , m.ghaemi84@gmail.com
2- Ferdowsi University of Mashhad
3- Sadjad university of technology
Abstract:   (6176 Views)

One of the greatest challenges of renewable resources is unpredictable nature of these resources. Nevertheless use of fossil-renewable integrated hybrid system, which uses some renewable resources rather than a single source, for the supply of power, is the most affordable and the most reliable method. In this study by use of analytical programming approach and 2012 base year statistics, production system of Khorasan Regional Electricity CO. has been simulated and the maximum renewable electricity potential, entered into power generation system. Results show that among all of solar, wind, biomass, geothermal and hydro, only solar power have enough capacity and potential to be substituted with fossil power. The comprehensive system, which uses all renewable potential power capacity, causes 6.38 TWh reduction in fossil power, 4.28 million tons emission, 10-fold increase in spot-hourly price and 21% reduction in grid stability which shows necessity of using stabilizer and storage equipment in the hybrid integrated production system and Technical and financial support from the government to reduce the cost of solar equipment.

Full-Text [PDF 826 kb]   (3605 Downloads)    
Type of Study: Applicable | Subject: انرژی، منابع و محیط زیست
Received: 2014/11/6 | Accepted: 2015/11/8 | Published: 2016/03/2

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Economic Modeling Research

Designed & Developed by : Yektaweb