IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v85y2016icp554-563.html
   My bibliography  Save this article

Electric energy generation from small-scale solar and wind power in Brazil: The influence of location, area and shape

Author

Listed:
  • Ribeiro, Alan Emanuel Duailibe
  • Arouca, Maurício Cardoso
  • Coelho, Daniel Moreira

Abstract

Power production from renewable sources is identified as one of the tools to attain sustainable development in economic and social terms in Brazil. Awareness of how to prioritize renewable energy sources and technologies becomes increasingly important. Solar and wind energy have been highlighted in this context as being clean, safe and also relatively mature technologies. In addition, they are also renowned for having great energy potential and allowing different mounting options for energy harvesting systems. This article seeks to contribute to the knowledge of the effects that the key attributes, location, area and shape, of a site can have on the potential of renewable generation. In order to incorporate these attributes into an integrated analysis, a comparison method is developed and subsequently applied in a case study for two Brazilian cities. Results indicate that the amount of energy obtained by a given power generation system can undergo large variations depending on the characteristics of attributes such as site location, area and shape. This variation may ultra-pass 200%, in some cases, which demonstrates the importance of a better understanding of the role of these attributes in determining energy production.

Suggested Citation

  • Ribeiro, Alan Emanuel Duailibe & Arouca, Maurício Cardoso & Coelho, Daniel Moreira, 2016. "Electric energy generation from small-scale solar and wind power in Brazil: The influence of location, area and shape," Renewable Energy, Elsevier, vol. 85(C), pages 554-563.
    • Handle: RePEc:eee:renene:v:85:y:2016:i:c:p:554-563
    DOI: 10.1016/j.renene.2015.06.071
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115300938
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.06.071?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. Grassi, Stefano & Chokani, Ndaona & Abhari, Reza S., 2012. "Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa," Energy Policy, Elsevier, vol. 45(C), pages 73-85.
    2. Chen, Hsing Hung & Kang, He-Yau & Lee, Amy H.I., 2010. "Strategic selection of suitable projects for hybrid solar-wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 413-421, January.
    3. Masa-Bote, Daniel & Caamaño-Martín, Estefanía, 2014. "Methodology for estimating building integrated photovoltaics electricity production under shadowing conditions and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 492-500.
    4. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    5. Ghadimi, A.A. & Razavi, F. & Mohammadian, B., 2011. "Determining optimum location and capacity for micro hydropower plants in Lorestan province in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4125-4131.
    6. Grossmann, Wolf D. & Grossmann, Iris & Steininger, Karl W., 2013. "Distributed solar electricity generation across large geographic areas, Part I: A method to optimize site selection, generation and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 831-843.
    7. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
    8. Kusiak, Andrew & Song, Zhe, 2010. "Design of wind farm layout for maximum wind energy capture," Renewable Energy, Elsevier, vol. 35(3), pages 685-694.
    9. Kucuksari, Sadik & Khaleghi, Amirreza M. & Hamidi, Maryam & Zhang, Ye & Szidarovszky, Ferenc & Bayraksan, Guzin & Son, Young-Jun, 2014. "An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments," Applied Energy, Elsevier, vol. 113(C), pages 1601-1613.
    10. Lee, Amy H.I. & Chen, Hsing Hung & Kang, He-Yau, 2009. "Multi-criteria decision making on strategic selection of wind farms," Renewable Energy, Elsevier, vol. 34(1), pages 120-126.
    11. McWilliam, M.K. & van Kooten, G.C. & Crawford, C., 2012. "A method for optimizing the location of wind farms," Renewable Energy, Elsevier, vol. 48(C), pages 287-299.
    12. Achão, Carla & Schaeffer, Roberto, 2009. "Decomposition analysis of the variations in residential electricity consumption in Brazil for the 1980-2007 period: Measuring the activity, intensity and structure effects," Energy Policy, Elsevier, vol. 37(12), pages 5208-5220, December.
    13. Holdermann, Claudius & Kissel, Johannes & Beigel, Jürgen, 2014. "Distributed photovoltaic generation in Brazil: An economic viability analysis of small-scale photovoltaic systems in the residential and commercial sectors," Energy Policy, Elsevier, vol. 67(C), pages 612-617.
    14. Pereira, Marcio Giannini & Camacho, Cristiane Farias & Freitas, Marcos Aurélio Vasconcelos & Silva, Neilton Fidelis da, 2012. "The renewable energy market in Brazil: Current status and potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3786-3802.
    15. Soito, João Leonardo da Silva & Freitas, Marcos Aurélio Vasconcelos, 2011. "Amazon and the expansion of hydropower in Brazil: Vulnerability, impacts and possibilities for adaptation to global climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3165-3177, August.
    16. Adelaja, Soji & Shaw, Judy & Beyea, Wayne & Charles McKeown, J.D., 2010. "Renewable energy potential on brownfield sites: A case study of Michigan," Energy Policy, Elsevier, vol. 38(11), pages 7021-7030, November.
    17. Mecibah, Mohamed Salah & Boukelia, Taqiy Eddine & Tahtah, Reda & Gairaa, Kacem, 2014. "Introducing the best model for estimation the monthly mean daily global solar radiation on a horizontal surface (Case study: Algeria)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 194-202.
    18. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
    19. Juárez, Alberto Aquino & Araújo, Alex Maurício & Rohatgi, Janardan Singh & de Oliveira Filho, Oyama Douglas Queiroz, 2014. "Development of the wind power in Brazil: Political, social and technical issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 828-834.
    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. Aquila, Giancarlo & Coelho, Eden de Oliveira Pinto & Bonatto, Benedito Donizeti & Pamplona, Edson de Oliveira & Nakamura, Wilson Toshiro, 2021. "Perspective of uncertainty and risk from the CVaR-LCOE approach: An analysis of the case of PV microgeneration in Minas Gerais, Brazil," Energy, Elsevier, vol. 226(C).
    2. Guido C. Guerrero-Liquet & Santiago Oviedo-Casado & J. M. Sánchez-Lozano & M. Socorro García-Cascales & Javier Prior & Antonio Urbina, 2018. "Determination of the Optimal Size of Photovoltaic Systems by Using Multi-Criteria Decision-Making Methods," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    3. Dias, César Luiz de Azevedo & Castelo Branco, David Alves & Arouca, Maurício Cardoso & Loureiro Legey, Luiz Fernando, 2017. "Performance estimation of photovoltaic technologies in Brazil," Renewable Energy, Elsevier, vol. 114(PB), pages 367-375.
    4. Frate, Claudio Albuquerque & Brannstrom, Christian, 2017. "Stakeholder subjectivities regarding barriers and drivers to the introduction of utility-scale solar photovoltaic power in Brazil," Energy Policy, Elsevier, vol. 111(C), pages 346-352.
    5. Carvalho, Diego B. & Pinto, Bárbara L. & Guardia, Eduardo C. & Marangon Lima, José W., 2020. "Economic impact of anticipations or delays in the completion of power generation projects in the Brazilian energy market," Renewable Energy, Elsevier, vol. 147(P1), pages 1312-1320.
    6. Cristea, Ciprian & Cristea, Maria & Birou, Iulian & Tîrnovan, Radu-Adrian, 2020. "Economic assessment of grid-connected residential solar photovoltaic systems introduced under Romania’s new regulation," Renewable Energy, Elsevier, vol. 162(C), pages 13-29.
    7. Alexander E. Cagle & Alona Armstrong & Giles Exley & Steven M. Grodsky & Jordan Macknick & John Sherwin & Rebecca R. Hernandez, 2020. "The Land Sparing, Water Surface Use Efficiency, and Water Surface Transformation of Floating Photovoltaic Solar Energy Installations," Sustainability, MDPI, vol. 12(19), pages 1-22, October.
    8. Fuentes-Cortés, Luis Fabián & Flores-Tlacuahuac, Antonio, 2018. "Integration of distributed generation technologies on sustainable buildings," Applied Energy, Elsevier, vol. 224(C), pages 582-601.
    9. Pali, Bahadur Singh & Vadhera, Shelly, 2018. "A novel pumped hydro-energy storage scheme with wind energy for power generation at constant voltage in rural areas," Renewable Energy, Elsevier, vol. 127(C), pages 802-810.
    10. Frate, Cláudio Albuquerque & Brannstrom, Christian & de Morais, Marcus Vinícius Girão & Caldeira-Pires, Armando de Azevedo, 2019. "Procedural and distributive justice inform subjectivity regarding wind power: A case from Rio Grande do Norte, Brazil," Energy Policy, Elsevier, vol. 132(C), pages 185-195.
    11. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.
    12. Baek, Seoin & Park, Eunil & Kim, Min-Gil & Kwon, Sang Jib & Kim, Ki Joon & Ohm, Jay Y. & del Pobil, Angel P., 2016. "Optimal renewable power generation systems for Busan metropolitan city in South Korea," Renewable Energy, Elsevier, vol. 88(C), pages 517-525.
    13. Roberts, Justo José & Mendiburu Zevallos, Andrés A. & Cassula, Agnelo Marotta, 2017. "Assessment of photovoltaic performance models for system simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1104-1123.
    14. Amy H. I. Lee & He-Yau Kang & You-Jyun Liou, 2017. "A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection," Sustainability, MDPI, vol. 9(2), pages 1-21, January.

    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. Wang, Longyan & Tan, Andy C.C. & Gu, Yuantong & Yuan, Jianping, 2015. "A new constraint handling method for wind farm layout optimization with lands owned by different owners," Renewable Energy, Elsevier, vol. 83(C), pages 151-161.
    2. Aquila, Giancarlo & Pamplona, Edson de Oliveira & Queiroz, Anderson Rodrigo de & Rotela Junior, Paulo & Fonseca, Marcelo Nunes, 2017. "An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1090-1098.
    3. Aquila, Giancarlo & Rotela Junior, Paulo & de Oliveira Pamplona, Edson & de Queiroz, Anderson Rodrigo, 2017. "Wind power feasibility analysis under uncertainty in the Brazilian electricity market," Energy Economics, Elsevier, vol. 65(C), pages 127-136.
    4. Cao, Lichao & Ge, Mingwei & Gao, Xiaoxia & Du, Bowen & Li, Baoliang & Huang, Zhi & Liu, Yongqian, 2022. "Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines," Applied Energy, Elsevier, vol. 323(C).
    5. Pollini, Nicolò, 2022. "Topology optimization of wind farm layouts," Renewable Energy, Elsevier, vol. 195(C), pages 1015-1027.
    6. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    7. Mittal, Prateek & Kulkarni, Kedar & Mitra, Kishalay, 2016. "A novel hybrid optimization methodology to optimize the total number and placement of wind turbines," Renewable Energy, Elsevier, vol. 86(C), pages 133-147.
    8. de Oliveira, Lucas Guedes & Aquila, Giancarlo & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & de Queiroz, Anderson Rodrigo & de Oliveira Pamplona, Edson & Camatta, Ulisses Pessin, 2020. "Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    9. Bansal, Jagdish Chand & Farswan, Pushpa, 2017. "Wind farm layout using biogeography based optimization," Renewable Energy, Elsevier, vol. 107(C), pages 386-402.
    10. Souma Chowdhury & Ali Mehmani & Jie Zhang & Achille Messac, 2016. "Market Suitability and Performance Tradeoffs Offered by Commercial Wind Turbines across Differing Wind Regimes," Energies, MDPI, vol. 9(5), pages 1-31, May.
    11. Grošelj, Petra & Hodges, Donald G. & Zadnik Stirn, Lidija, 2016. "Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 80-86.
    12. Guirguis, David & Romero, David A. & Amon, Cristina H., 2017. "Gradient-based multidisciplinary design of wind farms with continuous-variable formulations," Applied Energy, Elsevier, vol. 197(C), pages 279-291.
    13. Park, Jinkyoo & Law, Kincho H., 2015. "Layout optimization for maximizing wind farm power production using sequential convex programming," Applied Energy, Elsevier, vol. 151(C), pages 320-334.
    14. Houssem R. E. H. Bouchekara & Yusuf A. Sha’aban & Mohammad S. Shahriar & Makbul A. M. Ramli & Abdullahi A. Mas’ud, 2023. "Wind Farm Layout Optimization/Expansion with Real Wind Turbines Using a Multi-Objective EA Based on an Enhanced Inverted Generational Distance Metric Combined with the Two-Archive Algorithm 2," Sustainability, MDPI, vol. 15(3), pages 1-32, January.
    15. Eroğlu, Yunus & Seçkiner, Serap Ulusam, 2013. "Wind farm layout optimization using particle filtering approach," Renewable Energy, Elsevier, vol. 58(C), pages 95-107.
    16. Zergane, Saïd & Smaili, Arezki & Masson, Christian, 2018. "Optimization of wind turbine placement in a wind farm using a new pseudo-random number generation method," Renewable Energy, Elsevier, vol. 125(C), pages 166-171.
    17. Ramli, Makbul A.M. & Twaha, Ssennoga, 2015. "Analysis of renewable energy feed-in tariffs in selected regions of the globe: Lessons for Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 649-661.
    18. Herrera, Milton M. & Dyner, Isaac & Cosenz, Federico, 2019. "Assessing the effect of transmission constraints on wind power expansion in northeast Brazil," Utilities Policy, Elsevier, vol. 59(C), pages 1-1.
    19. Siyal, Shahid Hussain & Mörtberg, Ulla & Mentis, Dimitris & Welsch, Manuel & Babelon, Ian & Howells, Mark, 2015. "Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach," Energy, Elsevier, vol. 83(C), pages 447-461.
    20. Song, Zhe & Zhang, Zijun & Chen, Xingying, 2016. "The decision model of 3-dimensional wind farm layout design," Renewable Energy, Elsevier, vol. 85(C), pages 248-258.

    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:renene:v:85:y:2016:i:c:p:554-563. 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.journals.elsevier.com/renewable-energy .

    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.