Conference article

An Optimization Model for the Integration of Renewable Technologies in Power Generation Systems

Andreas Poullikkas
Electricity Authority of Cyprus, Cyprus

Erdal Turkbeyler
School of Construction Management and Engineering, the University of Reading, Whiteknights, United Kingdom

Runming Yao
School of Construction Management and Engineering, the University of Reading, Whiteknights, United Kingdom

Tony Day
Centre for Efficient and Renewable Energy in Buildings (CEREB), Department of Urban Engineering, London South Bank University, United Kingdom

G. R. Salehi
Islamic Azad University Nowshahr Branch, Nowshahr, Iran

M. Ahmadpour
Islamic Azad University Takestan Branch, Takestan, Iran

H. Khoshnazar
Shiraz university, Shiraz, Iran

Tawit Chitsomboon
School of Mechanical Engineering, Institute of Engineering, Suranaree University of Technology, Nakornratchasima, Thailand

Chalothorn Thamthæ
School of Mechanical Engineering, Institute of Engineering, Suranaree University of Technology, Nakornratchasima, Thailand

A. Alexakis
School of Computing, Engineering and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

G. Gounis
School of Computing, Engineering and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

K. Mahkamov
School of Computing, Engineering and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

J. Davis
School of Computing, Engineering and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

Sahar Bakhshian
Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran

Hamid-Reza Kariminia
Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran

Mohammad Ameri
Energy Eng. Department, Power & Water University of Technology, Tehran, Iran

Saman Amanpour
Department of Aerospace and Mechanical Engineering, Shiraz University, Shiraz, Iran

Saeid Amanpour
Department of Electrical Engineering, University Teknologi Malaysia, Johor Darul Takzim, Malaysia

Pedro A. Morgado
Civil Engineering Department and CEHIDRO, Instituto Superior Tåcnico, Technical University of Lisbon, Portugal

Helena M. Ramos
Civil Engineering Department and CEHIDRO, Instituto Superior Tåcnico, Technical University of Lisbon, Portugal

Hakan Demir
Yildiz Technical University, Istanbul, Turkey

Äzden Agra
Yildiz Technical University, Istanbul, Turkey

S. özgür Atayilmaz
Yildiz Technical University, Istanbul, Turkey

M. Agha-Hossein
Halcrow Group Ltd/TSBE, University of Reading, UK

A. Elmualim
University of Reading, UK

M. Williams
University of Reading, UK

A. Kluth
Halcrow Group Ltd, London, UK

Davide Magagna
Sustainable Energy Research Group, University of Southampton, Southampton, United Kingdom

Dimitris Stagonas
Sustainable Energy Research Group, University of Southampton, Southampton, United Kingdom

Gerald Muller
Sustainable Energy Research Group, University of Southampton, Southampton, United Kingdom

A. E. W Ek
Swedish Biogas International Korea Co., Seoul, Republic of Korea

S. Hallin
Dept. of Biogas R & D, Tekniska Verken i Linköping AB, Sweden

L. Vallin
Dept. of Biogas R & D, Tekniska Verken i Linköping AB, Sweden

A. Schnürer
Dept. of Microbiology, Swedish University of Agricultural Sciences, Uppsala, Sweden

M. Karlsson
Dept. of Biogas R & D, Tekniska Verken i Linköping AB, Sweden \ Dept. of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden

Carlos A. Cardona
Universidad Nacional de Colombia, Manizales, Colombia

Monica J. Valencia
Universidad Nacional de Colombia, Manizales, Colombia

Julian A. Quintero
Universidad Nacional de Colombia, Manizales, Colombia

Gregoris Panayiotou
Department of Mechanical Engineering and Materials Science and Engineering, Cyprus University of Technology, Cyprus \ School of Engineering and Design, Brunel University, Uxbridge, UK

Soteris Kalogirouand
Department of Mechanical Engineering and Materials Science and Engineering, Cyprus University of Technology, Cyprus

Savvas Tassou
School of Engineering and Design, Brunel University, Uxbridge, UK

Ali Turkcan
Department of Automotive Engineering Technology, Kocaeli University, Turkey

Mustafa Canakci
Alternative Fuels R&D Center, Kocaeli University, Turkey

Download articlehttp://dx.doi.org/10.3384/ecp110572347

Published in: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:9, s. 2347-2354

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Published: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

In view of the expanding Renewable Energy Sources (RES) generation worldwide and in particular in European Union; it is crucial for every country to consider the cost of integrating the necessary mixture of RESE technologies in their existing and future generation systems. In this work; an optimization model for the integration of RES electricity (RES-E) technologies in power generation systems is developed. The purpose of the optimization procedure is to assess the unavoidable increase in the cost of electricity of a given power generation system at different RES-E penetration levels. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the large penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. The above GA procedure enables the estimation of the level of the adequate (or eligible) feed-intariff (FiT) to be offered to future RES-E systems. The overall cost increase in the electricity sector for the promotion of RES-E technologies; for a given period; is analyzed taking into account factors; such as; the fuel avoidance cost; the carbon dioxide emissions avoidance cost; the conventional power system increased operation cost; etc. The applicability of the developed optimization model is applied to the small isolated power generation system of the island of Cyprus. The results indicated that in the case of 15% RES-E penetration by providing FiTs with a 10% internal rate of return the required level of RES-E levy in the electricity bills will be 0.53€c/kWh.

Keywords

Power generation; renewable energy sources; genetic algorithm; optimization

References

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[2] European Commission; Barcelona Process: Union for the Mediterranean; 2008; COM(2008) 319.

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[4] European Commission; Directive 2009/28/EC of the European Parliament and of the Council 23 April 2009 on the promotion of the use of energy from renewable sources and amending and subsequently repealing Directives 2001/77/EC and 2003/30/EC; 2009.

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