Skip to main content
SpringerLink
Log in

Optimisation Methods in Renewable Energy Sources Systems—Current Research Trends

  • Conference paper
  • First Online:
Renewable Energy Sources: Engineering, Technology, Innovation

Part of the book series: Springer Proceedings in Energy ((SPE))

Abstract

The objective of the work was to determine the research trends and carry out a bibliometric analysis of publications concerning the application of the computational intelligence method in the research area renewable energy sources optimization. In this study the Scopus database has been used as a data source. Articles and conference papers published in the years 2011–2017 were analysed. The research consists of two research tasks: bibliometric quantitative analysis and bibliometric thematic analysis of publications. On the basis of the analyses conducted, one can state that: In years 2011–2017, the number of scientific publications regarding RES optimisation, indexed in the Scopus database, increased by 340%. However, it does not mean that optimisation studies become prevailing, since the number of RES-related publications increased as well (by 199%). A percentage share of publications concerning RES optimisation, in relation to all publications dedicated to RES, grew in years 2011–2017 by 177%. The authors of the highest number of publications (in the set of articles and conference materials searched, for years 2011–2017) were researchers from the USA, China, India and Italy. The majority of the studies described in the publications set concerned optimisation of solar energy and wind energy systems, often hybrid systems. For optimisation by means of artificial intelligence computational methods, algorithms belonging to a group of Evolutionary Computations (mainly Genetic Algorithms) and Swarm Intelligence (especially PSO) were applied most frequently. Neural networks and fuzzy systems were applied three times less frequently. The authors suggest new optimisation algorithms combining several artificial intelligence methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. O. Ellabban, H. Abu-Rub, F. Blaabjerg, Renewable energy resources: current status, future prospects and their enabling technology. Renew. Sustain. Energy Rev. 39, 748–764 (2014). https://doi.org/10.1016/j.rser.2014.07.113

    Article  Google Scholar 

  2. M. Niemczyk, A. Kaliszewski, M. Jewiarz et al., Productivity and biomass characteristics of selected poplar (Populus spp.) cultivars under the climatic conditions of northern Poland. Biomass Bioenerg. 111, 46–51 (2018). https://doi.org/10.1016/j.biombioe.2018.02.002

    Article  Google Scholar 

  3. M. Wróbel, K. Mudryk, M. Jewiarz et al., Characterization of selected plant species in terms of energetic use, in Renewable Energy Sources: Engineering, Technology, Innovation, eds. by K. Mudryk, S. Werle (Springer, Cham, 2018), pp. 671–681

    Chapter  Google Scholar 

  4. M. Wróbel, J. Hamerska, M. Jewiarz et al., Influence of parameters of the torrefaction process on the selected parameters of torrefied woody biomass, in Renewable Energy Sources: Engineering, Technology, Innovation, eds. by K. Mudryk, S. Werle (Springer, Cham, 2018), pp. 691–700

    Chapter  Google Scholar 

  5. S. Kurpaska, N. Pedryc, Analysis of the efficiency of a hybrid foil tunnel heating system, in E3S Web Conferences, vol. 19 (2017), p. 1012. https://doi.org/10.1051/e3sconf/20171901012

    Article  Google Scholar 

  6. M. Wróbel, J. Kalina, Analysis of wind farm—compressed air energy storage hybrid power system, in Renewable Energy Sources: Engineering, Technology, Innovation, eds. by K. Mudryk, S. Werle (Springer, Cham, 2018), pp. 395–404

    Chapter  Google Scholar 

  7. M. Jewiarz, J. Frączek, K. Mudryk et al., Analysis of MSW potential in terms of processing into granulated fuels for power generation, in Renewable Energy Sources: Engineering, Technology, Innovation, eds. by K. Mudryk, S. Werle (Springer, Cham, 2018), pp. 661–670

    Chapter  Google Scholar 

  8. B. Brzychczyk, T. Hebda, J. Giełżecki, Energy characteristics of compacted biofuel with stabilized fraction of municipal waste, in Renewable Energy Sources: Engineering, Technology, Innovation, eds. by K. Mudryk, S. Werle (Springer, Cham, 2018), pp. 451–462

    Chapter  Google Scholar 

  9. B. Brzychczyk, T. Hebda, J. Giełżecki, Physical and chemical properties of pellets produced from the stabilized fraction of municipal sewage sludge, in Renewable Energy Sources: Engineering, Technology, Innovation, eds. by K. Mudryk, S. Werle (Springer, Cham, 2018), pp. 613–622

    Chapter  Google Scholar 

  10. K. Grzesik, M. Malinowski, Life cycle assessment of mechanical-biological treatment of mixed municipal waste. Environ. Eng. Sci. 34, 207–220 (2017). https://doi.org/10.1089/ees.2016.0284

    Article  Google Scholar 

  11. K. Grzesik, M. Malinowski, Life cycle assessment of refuse-derived fuel production from mixed municipal waste. Energy Sources Part A Recover. Util. Environ. Eff. 38, 3150–3157 (2016). https://doi.org/10.1080/15567036.2015.1136976

    Article  Google Scholar 

  12. M. Malinowski, K. Wolny-Koładka, Microbiological and energetic assessment of the effects of the biodrying of fuel produced from waste. Ecol. Chem. Eng. S 24, 551–564 (2017). https://doi.org/10.1515/eces-2017-0036

    Article  Google Scholar 

  13. K. Dziedzic, B. Łapczynska-Kordon, M. Malinowski et al., Impact of aerobic biostabilisation and biodrying process of municipal solid waste on minimisation of waste deposited in landfills. Chem. Process. Eng. Inzynieria Chemiczna i Procesowa 36, 381–394 (2015). https://doi.org/10.1515/cpe-2015-027

    Article  Google Scholar 

  14. M. Wróbel, M. Jewiarz, K. Mudryk, J. Frączek, Conceptual design of the mobile granulation line for production fertilizers from digestates and ash mixtures, in MATEC Web of Conferences, vol. 168 (2018), p. 4003

    Article  Google Scholar 

  15. M. Jewiarz, M. Wróbel, J. Frączek et al., Digestate, ash and Trichoderm based fertilizer – production line concept design, in MATEC Web of Conferences, vol. 168, (2018), p. 4004

    Article  Google Scholar 

  16. Z. Abdmouleh, A. Gastli, L. Ben-Brahim et al., Review of optimization techniques applied for the integration of distributed generation from renewable energy sources. Renew. Energy 113, 266–280 (2017). https://doi.org/10.1016/j.renene.2017.05.087

    Article  Google Scholar 

  17. R. Baños, F. Manzano-Agugliaro, F.G. Montoya et al., Optimization methods applied to renewable and sustainable energy: a review. Renew. Sustain. Energy Rev. 15, 1753–1766 (2011). https://doi.org/10.1016/j.rser.2010.12.008

    Article  Google Scholar 

  18. S. Sinha, S.S. Chandel, Review of recent trends in optimization techniques for solar photovoltaic-wind based hybrid energy systems. Renew. Sustain. Energy Rev. 50, 755–769 (2015). https://doi.org/10.1016/j.rser.2015.05.040

    Article  Google Scholar 

  19. M. Iqbal, M. Azam, M. Naeem et al., Optimization classification, algorithms and tools for renewable energy: a review. Renew. Sustain. Energy Rev. 39, 640–654 (2014). https://doi.org/10.1016/j.rser.2014.07.120

    Article  Google Scholar 

  20. A. Knapczyk, S. Francik, N. Pedryc, T. Hebda, Bibliometric analysis of research trends in engineering for rural development (2018), pp. 700–707. https://doi.org/10.22616/erdev2018.17.n389

  21. S. Korjani, M. Mureddu, A. Facchini, A. Damiano, Aging cost optimization for planning and management of energy storage systems. Energies 10, 1–17 (2017). https://doi.org/10.3390/en10111916

    Article  Google Scholar 

  22. K. Muralitharan, R. Sakthivel, Y. Shi, Neurocomputing Multiobjective optimization technique for demand side management with load balancing approach in smart grid. Neurocomputing 177, 110–119 (2016). https://doi.org/10.1016/j.neucom.2015.11.015

    Article  Google Scholar 

  23. M. Tahani, N. Babayan, A. Pouyaei, Optimization of PV/Wind/Battery stand-alone system, using hybrid FPA/SA algorithm and CFD simulation, case study: Tehran. Energy Convers. Manag. 106, 644–659 (2015). https://doi.org/10.1016/j.enconman.2015.10.011

    Article  Google Scholar 

  24. U. Khaled, A.M. Eltamaly, A. Beroual, Optimal power flow using particle swarm optimization of renewable hybrid distributed generation. Energies (2017). https://doi.org/10.3390/en10071013

    Article  Google Scholar 

  25. M. Kefayat, A. Lashkar Ara, S.A. Nabavi Niaki, A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources. Energy Convers. Manag. 92, 149–161 (2015). https://doi.org/10.1016/j.enconman.2014.12.037

    Article  Google Scholar 

  26. K. Guerraiche, M. Rahli, A. Zeblah, L. Dekhici, Budgetary and redundancy optimization of heterogeneous series-parallel power systems under availability constraints. Energy Procedia 74, 547–554 (2015). https://doi.org/10.1016/j.egypro.2015.07.748

    Article  Google Scholar 

  27. K.P. Kumar, B. Saravanan, K.S. Swarup, Optimization of renewable energy sources in a microgrid using artificial fish swarm algorithm. Energy Procedia 90, 107–113 (2016). https://doi.org/10.1016/j.egypro.2016.11.175

    Article  Google Scholar 

  28. Y. Yuan, Y. Cao, J. Zhou, J. Bao, Optimal planning of wind and PV capacity in provincial power systems based on two-stage optimization algorithm, in Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015 (2016), pp. 593–598

    Google Scholar 

  29. B. Khan, P. Singh, Selecting a meta-heuristic technique for smart micro-grid optimization problem: a comprehensive analysis. IEEE Access 5, 13951–13977 (2017). https://doi.org/10.1109/ACCESS.2017.2728683

    Article  Google Scholar 

  30. E.S. Ali, S.M. Abd Elazim, A.Y. Abdelaziz, Ant lion optimization algorithm for optimal location and sizing of renewable distributed generations. Renew. Energy 101, 1311–1324 (2017). https://doi.org/10.1016/j.renene.2016.09.023

    Article  Google Scholar 

  31. C. Kathirvel, K. Porkumaran, E. Engineering, Optimization of performance characteristics of hybrid wind photovoltaic system with battery storage. Res. J. Appl. Sci. Eng. Technol. 7, 2452–2462 (2014). https://doi.org/10.19026/rjaset.7.552

    Article  Google Scholar 

  32. Ş. Yılmaz Balaman, H. Selim, Sustainable design of renewable energy supply chains integrated with district heating systems: A fuzzy optimization approach. J. Clean. Prod. 133, 863–885 (2016). https://doi.org/10.1016/j.jclepro.2016.06.001

    Article  Google Scholar 

  33. M.A. Mohandes, Modeling global solar radiation using Particle Swarm Optimization (PSO). Sol. Energy 86, 3137–3145 (2012). https://doi.org/10.1016/j.solener.2012.08.005

    Article  Google Scholar 

  34. M.E. Gamez Urias, E.N. Sanchez, L.J. Ricalde, Electrical microgrid optimization via a new recurrent neural network. IEEE Syst. J. 9, 945–953 (2015). https://doi.org/10.1109/JSYST.2014.2305494

    Article  Google Scholar 

Download references

Acknowledgment

This work was supported by Higher Education in Poland (statutory activities DS-3600/WIPiE/2018, Faculty of Production and Power Engineering, University of Agriculture in Krakow).

Author information

Authors and Affiliations

  1. Faculty of Production and Power Engineering, Department of Mechanical Engineering and Agrophysics, University of Agriculture in Krakow, Krakow ul Balicka 120, 30-149, Kraków, Poland

    Sławomir Francik, Adrian Knapczyk, Artur Wójcik & Zbigniew Ślipek

Authors
  1. Sławomir Francik
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Adrian Knapczyk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Artur Wójcik
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zbigniew Ślipek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sławomir Francik .

Editor information

Editors and Affiliations

  1. Faculty of Production and Power Engineering, University of Agriculture in Krakow, Kraków, Poland

    Marek Wróbel

  2. Faculty of Production and Power Engineering, University of Agriculture in Krakow, Kraków, Poland

    Marcin Jewiarz

  3. Institute of Thermal Technology, Silesian University of Technology, Gliwice, Poland

    Andrzej Szlęk

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Francik, S., Knapczyk, A., Wójcik, A., Ślipek, Z. (2020). Optimisation Methods in Renewable Energy Sources Systems—Current Research Trends. In: Wróbel, M., Jewiarz, M., Szlęk , A. (eds) Renewable Energy Sources: Engineering, Technology, Innovation. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-030-13888-2_81

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-13888-2_81

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-13887-5

  • Online ISBN: 978-3-030-13888-2

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation