Abstract
Renewable energy harvesting is the best option as future energy source and there is no doubt about that. Greenhouse those are far from locality and offshore aqua farms, can make most efficient use of green energy harvesting. One negative approach about green energy that, it is unpredictable. So optimum planning of the resources to be included in a hybrid system and a determination of a perfect working strategy is very important. HOMER is one of the best used software for this optimum planning purpose due to its wide range of analyzing capacity and advanced prediction capability based on the sensitivity of the variables (sensitivity analysis). Moreover HOMER provides options to choose a perfect hybrid system from a large set of results arranged in the order of minimum to maximum cost of energy. This paper represents HOMER based optimum designing of a hybrid system including solar and wind resource for offshore area near about Suncheon, a city of South Korea.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alam, S.M.S.U., Rahman, M.H.: Use of Green Energy Instead of IPS to Lessen Energy Crisis in Bangladesh. In: 2nd International Conference on Green Energy and Technology, pp. 83–86, September 2014
Kaldellis, J.K., Kondili, E., Filios, A.: Sizing a Hybrid Wind-Diesel Stand-Alone System on the Basis of Minimum Long-Term Electricity Production Cost. Applied Energy 83(12), 1384–1403 (2006)
Paska, J., Biczel, P., Kłos, M.: Hybrid power systems– An effective way of utilizing primary energy sources. Renewable Energy 34(11), 2414–2421 (2009)
Karki, R., Billinton, R.: Cost-Effective Wind Energy Utilization for Reliable Power Supply. IEEE Transactions on Energy Conversion 19(2), 435–440 (2004)
Liu, X., Islam, S.: Reliability Evaluation of a Wind-Diesel Hybrid Power System with Battery Bank Using Discrete Wind Speed Frame, Analysis. In: Proc. of Int. Conf. on Probabilistic Methods Applied to Power Systems, pp. 1–7. Institute of Electrical and Electronics Engineers, Stockholm (2006)
Billinton, R., Bai, G.: Generation Capacity Adequacy Associated with Wind Energy. IEEE Transactions on Energy Conversion 19(3), 641–646 (2004)
Yang, H., Lu, L., Zhou, W.: A novel optimization sizing model for hybrid solar-wind power generation system. Solar Energy 81(1), 76–84 (2007)
Boroy, B.S., Salameh, Z.M.: Optimum photovoltaic array size for a hybrid wind/PV system. IEEE Transaction on Energy Convertion 9(3), 482–488 (1994)
Lal, D.K., Dash, B.B., Akella, A.K.: Optimization of PV/Wind/Micro-Hydro/Diesel Hybrid Power System in HOMER for the Study Area. International Journal on Electrical Engineering and Informatics 3(3), 307–325 (2011)
Zubair, A., Tanvir, A.A., Hasan, M.M.: Off-grid hybrid energy system incorporating renewable energy for a remote coastal area of bangladesh. In: Proceedings of the Global Engineering, Science and Technology Conference, Dhaka, Bangladesh, December 28-29, 2012 (2012)
Farret, F.A., Simões, M.G.,: Micropower system modeling with homer. In: Lambert, T., Gilman, P., Lilienthal, P. (eds.) Integration of Alternative Sources of Energy. Wiley-IEEE Press, December 2005. DOI:10.1002/0471755621
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Singapore
About this paper
Cite this paper
Chowdhury, O.R., Kim, Hg., Cho, Y., Shin, C., Park, J. (2015). Optimization of a Hybrid Renewable Energy System with HOMER. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_14
Download citation
DOI: https://doi.org/10.1007/978-981-10-0281-6_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0280-9
Online ISBN: 978-981-10-0281-6
eBook Packages: Computer ScienceComputer Science (R0)