IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v86y2016icp745-750.html
   My bibliography  Save this article

Dendrometric characterization of corn cane residues and drying models in natural conditions in Bolivar Province (Ecuador)

Author

Listed:
  • Gaibor-Chávez, J.
  • Pérez-Pacheco, S.
  • Velázquez-Martí, B.
  • Niño-Ruiz, Z.
  • Domínguez-Narváez, V.

Abstract

The use of biomass raw material from agricultural areas is a challenge for Ecuatorian government. However there is lack information about surveying systems and processing in its height and weather conditions. The objective of this work was to develop methods to quantify straw residues, easily applicable in corn areas of Guaranda (Ecuador), and model the drying process at different air conditions. Two dendrometric equations were obtained for predicting dry available biomass by stem and cultivated area respectively, from corn mean height and radius of the stem. High coefficients of determination were obtained (0.94 and 0.97 respectively). Straw chips with initial moisture content ranging from 70 to 80% with an average moisture content of 76.7% wet basis were dried until they reached constant moisture content. Traditional models used to describe the drying process of agricultural products were employed to fit the observed data of the drying process of straw corn chips. Among the tested models, the Midili, Page, and sigmoid model were those that best fit the observed data representing the drying process. The effective diffusion (Def) was determined by means of an analytical solution of Fick's second law. Effective moisture diffusivity values obtained at natural outdoor drying conditions were 2.443E-11 and 2.035E-10 m2/s, for the first and second falling periods, respectively.

Suggested Citation

  • Gaibor-Chávez, J. & Pérez-Pacheco, S. & Velázquez-Martí, B. & Niño-Ruiz, Z. & Domínguez-Narváez, V., 2016. "Dendrometric characterization of corn cane residues and drying models in natural conditions in Bolivar Province (Ecuador)," Renewable Energy, Elsevier, vol. 86(C), pages 745-750.
  • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:745-750
    DOI: 10.1016/j.renene.2015.09.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115302871
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2015.09.009?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. Velazquez-Marti, B. & Fernandez-Gonzalez, E., 2010. "Mathematical algorithms to locate factories to transform biomass in bioenergy focused on logistic network construction," Renewable Energy, Elsevier, vol. 35(9), pages 2136-2142.
    Full references (including those not matched with items on IDEAS)

    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. Xiang Zhao & Xiaoya Ma & Kun Wang & Yuqing Long & Dongjie Zhang & Zhanchun Xiao, 2017. "A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 9(5), pages 1-19, May.
    2. Bojesen, M. & Birkin, M. & Clarke, G., 2014. "Spatial competition for biogas production using insights from retail location models," Energy, Elsevier, vol. 68(C), pages 617-628.
    3. Bekkering, J. & Hengeveld, E.J. & van Gemert, W.J.T. & Broekhuis, A.A., 2015. "Designing a green gas supply to meet regional seasonal demand – An operations research case study," Applied Energy, Elsevier, vol. 143(C), pages 348-358.
    4. Jin Su Jeong, 2018. "Biomass Feedstock and Climate Change in Agroforestry Systems: Participatory Location and Integration Scenario Analysis of Biomass Power Facilities," Energies, MDPI, vol. 11(6), pages 1-16, May.
    5. Mafakheri, Fereshteh & Nasiri, Fuzhan, 2014. "Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions," Energy Policy, Elsevier, vol. 67(C), pages 116-126.
    6. Lim, Chun Hsion & Lam, Hon Loong & Ng, Wendy Pei Qin, 2018. "A novel HAZOP approach for literature review on biomass supply chain optimisation model," Energy, Elsevier, vol. 146(C), pages 13-25.
    7. Jin Su Jeong & Álvaro Ramírez-Gómez, 2017. "A Multicriteria GIS-Based Assessment to Optimize Biomass Facility Sites with Parallel Environment—A Case Study in Spain," Energies, MDPI, vol. 10(12), pages 1-14, December.
    8. Li Chenguang & Hlatká Martina, 2017. "Identification of the Area for Proper Integration of Three Current Storage Objects into One Complex Logistics Point," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 8(1), pages 38-47, May.
    9. Islam Hassanin & Matjaz Knez, 2022. "Managing Supply Chain Activities in the Field of Energy Production Focusing on Renewables," Sustainability, MDPI, vol. 14(12), pages 1-33, June.

    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:86:y:2016:i:c:p:745-750. 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.