IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v58y2016icp16-22.html
   My bibliography  Save this article

Selection and configuration of inverters and modules for a photovoltaic system to minimize costs

Author

Listed:
  • Báez-Fernández, Héctor
  • Ramírez-Beltrán, Nazario D.
  • Méndez-Piñero, Mayra Ivelisse

Abstract

The photovoltaic (PV) systems have become an option to reduce utilities costs for many social sectors. For a PV system design, the correct selection of the inverters and PV module could reduce the initial investment. The designer of these systems runs up against the difficult dilemma of selecting an adequate components combination. With many challenging restrictions, the purchasing costs of the system could be last priority. The suggested selection of these components with the objective of minimizing costs is established as a linear programing problem. The model that is formulated minimizes the purchasing costs of inverters and PV modules for a required capacity by selecting the appropriate combination of them given a list of models with its specifications. Also, it provides an array configuration of the proposed solution in order to meet all the design requirements. Results obtained show that using this model the purchasing costs can be reduced by 16.45% of a 10kW PV systems kit available in the market on April 2013.

Suggested Citation

  • Báez-Fernández, Héctor & Ramírez-Beltrán, Nazario D. & Méndez-Piñero, Mayra Ivelisse, 2016. "Selection and configuration of inverters and modules for a photovoltaic system to minimize costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 16-22.
    • Handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:16-22
    DOI: 10.1016/j.rser.2015.12.067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032115014501
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2015.12.067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan, 2011. "The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California," Energy Policy, Elsevier, vol. 39(9), pages 5243-5253, September.
    2. Bakhshi, Reza & Sadeh, Javad & Mosaddegh, Hamid-Reza, 2014. "Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on Genetic Algorithm," Renewable Energy, Elsevier, vol. 72(C), pages 386-394.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tekai Eddine Khalil Zidane & Mohd Rafi Adzman & Mohammad Faridun Naim Tajuddin & Samila Mat Zali & Ali Durusu & Saad Mekhilef, 2020. "Optimal Design of Photovoltaic Power Plant Using Hybrid Optimisation: A Case of South Algeria," Energies, MDPI, vol. 13(11), pages 1-28, June.
    2. Pi-Yun Chen & Kuei-Hsiang Chao & Zih-Yi Wu, 2018. "An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems," Energies, MDPI, vol. 11(10), pages 1-24, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mayyas Alsalman & Vian Ahmed & Zied Bahroun & Sara Saboor, 2023. "An Economic Analysis of Solar Energy Generation Policies in the UAE," Energies, MDPI, vol. 16(7), pages 1-25, March.
    2. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    3. Wang, H.X. & Muñoz-García, M.A. & Moreda, G.P. & Alonso-García, M.C., 2018. "Optimum inverter sizing of grid-connected photovoltaic systems based on energetic and economic considerations," Renewable Energy, Elsevier, vol. 118(C), pages 709-717.
    4. Brown, David P. & Muehlenbachs, Lucija, 2023. "The Value of Electricity Reliability: Evidence from Battery Adoption," Working Papers 2023-5, University of Alberta, Department of Economics, revised 26 Jul 2024.
    5. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
    6. Ahmed S. Alahmed & Lang Tong, 2022. "Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs," Papers 2204.06115, arXiv.org, revised May 2022.
    7. Castaneda, Monica & Jimenez, Maritza & Zapata, Sebastian & Franco, Carlos J. & Dyner, Isaac, 2017. "Myths and facts of the utility death spiral," Energy Policy, Elsevier, vol. 110(C), pages 105-116.
    8. Dusonchet, L. & Telaretti, E., 2015. "Comparative economic analysis of support policies for solar PV in the most representative EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 986-998.
    9. La Monaca, Sarah & Ryan, Lisa, 2017. "Solar PV where the sun doesn’t shine: Estimating the economic impacts of support schemes for residential PV with detailed net demand profiling," Energy Policy, Elsevier, vol. 108(C), pages 731-741.
    10. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    11. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    12. Silverman, Rochelle E. & Flores, Robert J. & Brouwer, Jack, 2020. "Energy and economic assessment of distributed renewable gas and electricity generation in a small disadvantaged urban community," Applied Energy, Elsevier, vol. 280(C).
    13. Aronescu, A. & Appelbaum, J., 2017. "Design optimization of photovoltaic solar fields-insight and methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 882-893.
    14. Axel Gautier & Julien Jacqmin & Jean-Christophe Poudou, 2018. "The prosumers and the grid," Journal of Regulatory Economics, Springer, vol. 53(1), pages 100-126, February.
    15. L. (Lisa B.) Ryan & Sarah La Monaca & Linda Mastrandrea & Petr Spodniak, 2018. "Harnessing Electricity Retail Tariffs to Support Climate Change Policy," Working Papers 201822, School of Economics, University College Dublin.
    16. Georgios C. Christoforidis & Ioannis P. Panapakidis & Theofilos A. Papadopoulos & Grigoris K. Papagiannis & Ioannis Koumparou & Maria Hadjipanayi & George E. Georghiou, 2016. "A Model for the Assessment of Different Net-Metering Policies," Energies, MDPI, vol. 9(4), pages 1-24, April.
    17. Darghouth, Naïm R. & Wiser, Ryan H. & Barbose, Galen & Mills, Andrew D., 2016. "Net metering and market feedback loops: Exploring the impact of retail rate design on distributed PV deployment," Applied Energy, Elsevier, vol. 162(C), pages 713-722.
    18. Mezher, Toufic & Dawelbait, Gihan & Abbas, Zeina, 2012. "Renewable energy policy options for Abu Dhabi: Drivers and barriers," Energy Policy, Elsevier, vol. 42(C), pages 315-328.
    19. Tantisattayakul, Thanapol & Kanchanapiya, Premrudee, 2017. "Financial measures for promoting residential rooftop photovoltaics under a feed-in tariff framework in Thailand," Energy Policy, Elsevier, vol. 109(C), pages 260-269.
    20. Carlos J. Sarasa-Maestro & Rodolfo Dufo-López & José L. Bernal-Agustín, 2016. "Analysis of Photovoltaic Self-Consumption Systems," Energies, MDPI, vol. 9(9), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:16-22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.