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Techno-economic analysis of off-grid solar/wind/biogas/biomass/fuel cell/battery system for electrification in a cluster of villages by HOMER software

  • Suresh VendotiEmail author
  • M. Muralidhar
  • R. Kiranmayi
Article
  • 16 Downloads

Abstract

Electrification of villages is a vital step for improving the techno-economic conditions of rural areas and crucial for the country’s overall development. The villages’ welfare is one of the main aims of the rural electrification programs. Rural electrification is relatively costly compared to electrification of urban areas. Now, the research question is to find the best combinations of HRES from the available resources in a given village location that can meet the electricity demand in a sustainable manner and to see whether this is a cost-effective solution or not. This study is an attempt to structure a model of electricity generation based on multiple combinations of HRES with the application of HOMER energy software at an identified off-grid village location in India. The main objectives of this study are to analyze the best-suited configuration of a hybrid RE system out of various combinations to meet the village load requirement reliably, continuously and sustainably. The study also reduces the total system net present cost and least cost of energy (COE) using multi-objective HOMER Pro software. In this study, a resource assessment and demand calculation have been carried out and the COE per unit has been ascertained for different systems and configurations. A combination of PV–Wind–Biomass–Biogas–FC along with battery has been identified as the cheapest and most dependable solution with a COE of $0.214/kWh.

Keywords

Hybrid renewable energy system Solar PV Fuel cell system Wind system Biomass/biogas system HOMER pro software 

Abbreviations

HOMER

Hybrid optimization model of electric renewable

COE

Cost of energy

TNPC

Total net present cost

ELE

Electrolyzer

HRES

Hybrid renewable energy system

BATT

Battery

DSM

Demand side management

FC

Fuel cell

LCOE

Least cost of energy

SPV

Solar photo voltaic

BMG

Biomass generator

BGG

Biomass generator

WTG

Wind turbine generator

SOC

State of charge

H2Tank

Hydrogen storage tank

DOD

Depth of discharge

CRF

Capital recovery factor

PEM

Polymer electrolyte membrane

List of symbols

γ

Annual interest (%)

hBGG

No. of hours operated in BGG

τ

Plant life

σ

Hourly self-discharge rate

$

US dollars

hBMG

No. of hours operated in BMG

C1, C2, C3, C4

Four combinations of HRES model

Egen

Generation of annual energy (kWh)

Notes

Supplementary material

10668_2019_583_MOESM1_ESM.docx (19 kb)
Supplementary material Table 1. Information of cluster of three villages (see supplementary information on bottom). Table 2. Total energy demand estimation in various sections of the village (see supplementary information on bottom). Table 3. Information regarding availability all renewable energy sources (see supplementary information on bottom). Table 4. Sizes considered in the HRES components (see supplementary information on bottom). Table 5. Cost parameters considered in the HRES components (see supplementary information on bottom). (DOCX 18 kb)

References

  1. Barsoum, N., & Petrus, P. D. (2015). Cost optimization of hybrid solar, micro-hydro and hydrogen fuel cell using homer software. Energy and Power Engineering,7, 337–347.  https://doi.org/10.4236/epe.2015.78031.CrossRefGoogle Scholar
  2. Chauhan, A., & Saini, R. P. (2016a). Discrete harmony search based size optimization of Integrated Renewable Energy System for remote rural areas of Uttarakhand state in India. Renew. Energy,94, 587–604.  https://doi.org/10.1016/j.renene.2016.03.079.CrossRefGoogle Scholar
  3. Chauhan, A., & Saini, R. P. (2016b). Techno-economic optimization based approach for energy management of a stand-alone integrated renewable energy system for remote areas of India. Energy,94, 138–156.  https://doi.org/10.1016/j.energy.2015.10.136.CrossRefGoogle Scholar
  4. Chauhan, A., & Saini, R. P. (2017). Size optimization and demand response of a stand-alone. Integrated Renewable Energy System, Energy,124, 59–73.  https://doi.org/10.1016/j.energy.2017.02.049.CrossRefGoogle Scholar
  5. Das, M., Singh, M. A. K. , & Biswas, A. (2019). Techno-economic optimization of an off-grid hybrid renewable energy system using meta-heuristic optimization approaches-Case of a radio transmitter station in India. Energy Conversion and Management,185, 339–352.  https://doi.org/10.1016/j.enconman.2019.01.107.CrossRefGoogle Scholar
  6. El-Shatter, T. F., Eskander, M. N., & El-Hagry, M. T. (2006). Energy flow and management of a hybrid wind/PV/fuel cell generation system. Energy Conversion and Management,47, 1264–1280.  https://doi.org/10.1109/PSEC.2002.1023893.CrossRefGoogle Scholar
  7. Garcia, R. S., & Weisser, D. (2006). A wind–diesel system with hydrogen storage: Joint optimization of design and dispatch. Renewable Energy,31, 2296–2320.  https://doi.org/10.1016/j.renene.2005.11.003.CrossRefGoogle Scholar
  8. Halabi, L. M., Mekhilef, S., Olatomiwa, L., & Hazelton, J. (2017). Performance analysis of hybrid PV/diesel/battery system using HOMER: A case study Sabah, Malaysia. Energy Conversion and Management,144(2), 322–339.  https://doi.org/10.1016/j.enconman.2017.04.070.CrossRefGoogle Scholar
  9. Hossain, M., Mekhilef, S., & Olatomiwa, L. (2017). Performance evaluation of a stand-alone PV-wind-diesel-battery hybrid system feasible for a large resort center in South China Sea, Malaysia. Sustainable Cities and Society,28, 358–366.  https://doi.org/10.1016/j.scs.2016.10.008.CrossRefGoogle Scholar
  10. Jamshidi, M., & Askarzadeh, A. (2018). Techno-economic analysis and size optimization of an off-grid hybrid photovoltaic, fuel cell and diesel generator system. Sustainable Cities and Society.  https://doi.org/10.1016/j.scs.2018.10.021.CrossRefGoogle Scholar
  11. 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,36(9), 5690–5702.  https://doi.org/10.1016/j.energy.2011.06.057.CrossRefGoogle Scholar
  12. Khan, M. J., & Iqbal, M. T. (2005). Pre-feasibility study of stand-alone hybrid energy systems for applications in Newfoundland. Renewable Energy,30, 835–854.  https://doi.org/10.1016/j.renene.2004.09.001.CrossRefGoogle Scholar
  13. Kumar, A., Singh, A. R., Deng, Y., He, X., et al. (2017). Integrated assessment of a sustainable microgrid for a remote village in hilly region. Energy Conversion and Management,180, 442–472.  https://doi.org/10.1016/j.enconman.2018.10.084.CrossRefGoogle Scholar
  14. List of Villages/Towns, Census of India. (2011). http://censusindia.gov.in/2011census/Listofvillagesandtowns.aspx. Retrieved January 2018.
  15. Nelson, D. B., Nehrir, M. H., & Wang, C. (2006). Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation system. Renewable Energy,31, 1641–1656.  https://doi.org/10.1016/j.renene.2005.08.031.CrossRefGoogle Scholar
  16. Nowdeh, S. A., & Hajibeigy, M. (2013). Economic designing of PV/FC/wind hybrid system considering components availability. International Journal of Modern Education and Computer Science,7, 69–77.  https://doi.org/10.5815/ijmecs.2013.07.08.CrossRefGoogle Scholar
  17. Olatomiwa, L., Blanchard, R., Mekhilef, S., & Akinyele, D. (2018). Hybrid renewable energy supply for rural healthcare facilities: An approach to quality healthcare delivery. Sustainable Energy Technologies and Assessments,30, 121–138.  https://doi.org/10.1016/j.seta.2018.09.007.CrossRefGoogle Scholar
  18. Olatomiwa, L., Mekhilef, S., Huda, A. S. N., & Ohunakin, O. S. (2015a). Economic evaluation of hybrid energy systems for rural electrification in six geo-political zones of Nigeria. Renewable Energy,83, 435–446.  https://doi.org/10.1016/j.renene.2015.04.057.CrossRefGoogle Scholar
  19. Olatomiwa, L., Mekhilef, S., Huda, A. S. N., & Sanusi, K. (2015b). Techno-economic analysis of hybrid PV–diesel–battery and PV–wind–diesel–battery power systems for mobile BTS: The way forward for rural development. Energy Science and Engineering,3(4), 271–285.  https://doi.org/10.1002/ese3.71.CrossRefGoogle Scholar
  20. Om Krishan and Sathans. (2018). Design and techno-economic analysis of a HRES in a rural village. Procedia Computer Source,125, 321–328.  https://doi.org/10.1016/j.procs.2017.12.043.CrossRefGoogle Scholar
  21. Rajanna, S. (2016). Integrated renewable energy system for a remote rural area. Ph.D. thesis, Alternate Hydro Energy Center, IIT Roorkee, July 2016.Google Scholar
  22. Rajanna, S., & Saini, R. P. (2014). Optimal modeling of solar/biogas/biomass based IRE system for remote area electrification. In 6th IEEE power India international conference (PIICON), Delhi, India, December 2014 (pp. 1–5).Google Scholar
  23. Rajanna, S., & Saini, R. P. (2016a). Employing demand side management for selection of suitable scenario-wise isolated integrated renewal energy models in an Indian remote rural area. Renewable Energy,99, 1161–1180.  https://doi.org/10.1016/j.renene.2016.08.024.CrossRefGoogle Scholar
  24. Rajanna, S., & Saini, R. P. (2016b). Modeling of integrated renewable energy system for electrification of a remote area in India. Renewable Energy,90, 175–187.  https://doi.org/10.1016/j.renene.2015.12.067.CrossRefGoogle Scholar
  25. Rajanna, S., & Saini, R. P. (2016c). Development of optimal integrated renewable energy model with battery storage for a remote Indian area. Energy,111, 803–817.  https://doi.org/10.1016/j.energy.2016.06.005.CrossRefGoogle Scholar
  26. Samy, M. M., Barakat, S., & Ramadan, H. S. (2018). A flower pollination optimization algorithm for an off-grid PV-Fuel cell hybrid renewable system. International Journal of Hydrogen Energy.  https://doi.org/10.1016/j.ijhydene.2018.05.127.CrossRefGoogle Scholar
  27. Searched for un-electrified villages. http://www.ddugjy.gov.in/portal/state_wise_summary1.jsp?StateCode=29. Retrieved December 2017.
  28. Thapar, V., Agnihotri, G., & Sethi, V. K. (2011). Critical analysis of methods for mathematical modelling of wind turbines. Renewable Energy,36, 3166–3177.  https://doi.org/10.1016/j.renene.2011.03.016.CrossRefGoogle Scholar
  29. Vendoti, S., Muralidhar, M., & Kiranmayi, R. (2017). Optimization of hybrid renewable energy systems for sustainable and economical power supply at sVCET Chittoor. i-Manager’s Journal on Power Systems Engineering,5(11), 26–34.Google Scholar
  30. Vendoti, S., Muralidhar, M., & Kiranmayi, R. (2018). HOMER based optimization of solar-wind-diesel hybrid system for electrification in a rural village. In IEEE conference proceedings; January 4th6th, 2018, Coimbatore, India.  https://doi.org/10.1109/iccci.2018.8441517.
  31. Vendoti, S., Muralidhar, M., & Kiranmayi, R. (2018b). Design and analysis of solar PV-fuel cell-battery based hybrid renewable energy system (HRES) for off-grid electrification in rural areas. i-Manager’s Journal on Instrumentation & Control Engineering,6(3), 1–11.CrossRefGoogle Scholar
  32. HOMER software’ Hybrid optimization model for electric renewable. http://www.nrel.gov/international/homer. Accessed Feb 2018.
  33. Zhang, W., Maleki, A., Rosen, M. A., & Liu, J. (2019). Sizing a stand-alone solar-wind-hydrogen energy system using weather forecasting and a hybrid search optimization algorithm. Energy Conversion and Management,180, 609–621.  https://doi.org/10.1016/j.enconman.2018.08.102.CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2020

Authors and Affiliations

  1. 1.EEE DepartmentJNTUAAnanthapuramuIndia
  2. 2.EEE DepartmentSVCET ChittoorChittoorIndia
  3. 3.EEE DepartmentJNTUA AnantapurAnanthapuramuIndia

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