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IRES—A program to design integrated renewable energy systems

Author

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  • Ashenayi, K.
  • Ramakumar, R.

Abstract

Integrated renewable energy systems (IRES), which utilize different resources such as wind, solar heat, solar radiation, biomass, and falling water to satisfy various energy needs, are well suited for remote rural areas. In this paper, we present an approach to design an IRES based on the loss of power-supply probability (LPSP) as the key system parameter and minimization of the initial capital investment. Also, a computer program named IRES is developed for use as a design tool. A numerical example is included to demonstrate the design procedure.

Suggested Citation

  • Ashenayi, K. & Ramakumar, R., 1990. "IRES—A program to design integrated renewable energy systems," Energy, Elsevier, vol. 15(12), pages 1143-1152.
    • Handle: RePEc:eee:energy:v:15:y:1990:i:12:p:1143-1152
    DOI: 10.1016/0360-5442(90)90105-B
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    Cited by:

    1. Yunesky Masip & Anibal Gutierrez & Joel Morales & Antonio Campo & Meyli Valín, 2019. "Integrated Renewable Energy System Based on IREOM Model and Spatial–Temporal Series for Isolated Rural Areas in the Region of Valparaiso, Chile," Energies, MDPI, vol. 12(6), pages 1-19, March.
    2. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    3. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2010. "Integrated renewable energy systems for off grid rural electrification of remote area," Renewable Energy, Elsevier, vol. 35(6), pages 1342-1349.
    4. Akella, A.K. & Sharma, M.P. & Saini, R.P., 2007. "Optimum utilization of renewable energy sources in a remote area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 894-908, June.
    5. Chauhan, Anurag & Saini, R.P., 2016. "Techno-economic feasibility study on Integrated Renewable Energy System for an isolated community of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 388-405.
    6. Chauhan, Anurag & Saini, R.P., 2014. "A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 99-120.
    7. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2011. "Development of IREOM model based on seasonally varying load profile for hilly remote areas of Uttarakhand state in India," Energy, Elsevier, vol. 36(9), pages 5690-5702.
    8. Iniyan, S & Suganthi, L & Jagadeesan, T.R & Samuel, Anand A, 2000. "Reliability based socio economic optimal renewable energy model for India," Renewable Energy, Elsevier, vol. 19(1), pages 291-297.
    9. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    10. Yu, Hao & Wei, Yi-Ming & Tang, Bao-Jun & Mi, Zhifu & Pan, Su-Yan, 2016. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," Applied Energy, Elsevier, vol. 184(C), pages 960-970.
    11. Cong, Rong-Gang & Shen, Shaochuan, 2014. "How to Develop Renewable Power in China? A Cost-Effective Perspective," MPRA Paper 112209, University Library of Munich, Germany.
    12. Iniyan, S. & Suganthi, L. & Samuel, Anand A., 2006. "Energy models for commercial energy prediction and substitution of renewable energy sources," Energy Policy, Elsevier, vol. 34(17), pages 2640-2653, November.
    13. Yilmaz, Pelin & Hakan Hocaoglu, M. & Konukman, Alp Er S., 2008. "A pre-feasibility case study on integrated resource planning including renewables," Energy Policy, Elsevier, vol. 36(3), pages 1223-1232, March.

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