IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i5p789-d98050.html
   My bibliography  Save this article

A Web-Based Tool for Energy Balance Estimation in Multiple-Crops Production Systems

Author

Listed:
  • Patrizia Busato

    (DISAFA Department, Faculty of Agriculture, University of Turin, Largo Braccini 2, 10095 Grugliasco, Turin, Italy)

  • Alessandro Sopegno

    (DISAFA Department, Faculty of Agriculture, University of Turin, Largo Braccini 2, 10095 Grugliasco, Turin, Italy)

  • Remigio Berruto

    (DISAFA Department, Faculty of Agriculture, University of Turin, Largo Braccini 2, 10095 Grugliasco, Turin, Italy)

  • Dionysis Bochtis

    (Institute for Research and Technology of Thessaly—IRETETH, Centre for Research and Technology Hellas—CERTH, Dimitriados St 95 & Pavlou Mela St., 3rd Floor, PC 38333 Volos, Greece)

  • Angela Calvo

    (DISAFA Department, Faculty of Agriculture, University of Turin, Largo Braccini 2, 10095 Grugliasco, Turin, Italy)

Abstract

Biomass production systems include multiple-crops rotations, various machinery systems, diversified operational practices and several dispersed fields located in a range of distances between the various facilities (e.g., storage and processing facilities). These factors diversify the energy and cost requirements of the system. To that effect, assessment tools dedicated a single-crop production based on average standards cannot provide an insight evaluation of a specific production system, e.g., for a whole farm in terms of energy and cost requirements. This paper is the continuation of previous work, which presents a web-based tool for cost estimation of biomass production and transportation of multiple-crop production. In the present work, the tool is extended to additionally provide the energy balance of the examined systems. The energy input includes the whole supply chain of the biomass, namely crop cultivation, harvesting, handling of biomass and transportation to the processing facilities. A case study involving a real crop production system that feeds a biogas plant of 200 kW was selected for the demonstration of the tool’s applicability. The output of the tool provides a series of indexes dedicated to the energy input and balance. The presented tool can be used for the comparison of the performance, in terms of energy requirements, between various crops, fields, operations practices, and operations systems providing support for decisions on the biomass production system design (e.g., allocation of crops to fields) and operations management (e.g., machinery system selection).

Suggested Citation

  • Patrizia Busato & Alessandro Sopegno & Remigio Berruto & Dionysis Bochtis & Angela Calvo, 2017. "A Web-Based Tool for Energy Balance Estimation in Multiple-Crops Production Systems," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:789-:d:98050
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/5/789/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/5/789/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nassiri, Seyed Mehdi & Singh, Surendra, 2009. "Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique," Applied Energy, Elsevier, vol. 86(7-8), pages 1320-1325, July.
    2. Gerhard Piringer & Laura J. Steinberg, 2006. "Reevaluation of Energy Use in Wheat Production in the United States," Journal of Industrial Ecology, Yale University, vol. 10(1‐2), pages 149-167, January.
    3. Alessandro Sopegno & Efthymios Rodias & Dionysis Bochtis & Patrizia Busato & Remigio Berruto & Valter Boero & Claus Sørensen, 2016. "Model for Energy Analysis of Miscanthus Production and Transportation," Energies, MDPI, vol. 9(6), pages 1-16, May.
    4. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    5. Swanton, Clarence J. & Murphy, Stephen D. & Hume, David J. & Clements, David R., 1996. "Recent improvements in the energy efficiency of agriculture: Case studies from Ontario, Canada," Agricultural Systems, Elsevier, vol. 52(4), pages 399-418, December.
    6. Zhang, Fengli & Johnson, Dana M. & Johnson, Mark A., 2012. "Development of a simulation model of biomass supply chain for biofuel production," Renewable Energy, Elsevier, vol. 44(C), pages 380-391.
    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. Efthymios Rodias & Remigio Berruto & Dionysis Bochtis & Alessandro Sopegno & Patrizia Busato, 2019. "Green, Yellow, and Woody Biomass Supply-Chain Management: A Review," Energies, MDPI, vol. 12(15), pages 1-22, August.
    2. Leonel Jorge Ribeiro Nunes & Radu Godina & João Carlos de Oliveira Matias, 2019. "Technological Innovation in Biomass Energy for the Sustainable Growth of Textile Industry," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    3. Charisios Achillas & Dionysis Bochtis, 2021. "Supply Chain Management for Bioenergy and Bioresources: Bridging the Gap between Theory and Practice," Energies, MDPI, vol. 14(19), pages 1-4, 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. Espinoza Pérez, Andrea Teresa & Camargo, Mauricio & Narváez Rincón, Paulo César & Alfaro Marchant, Miguel, 2017. "Key challenges and requirements for sustainable and industrialized biorefinery supply chain design and management: A bibliographic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 350-359.
    2. Palander, Teijo & Haavikko, Hanna & Kärhä, Kalle, 2018. "Towards sustainable wood procurement in forest industry – The energy efficiency of larger and heavier vehicles in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 100-118.
    3. Leonel J. R. Nunes & Sandra Silva, 2023. "Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis," Logistics, MDPI, vol. 7(3), pages 1-21, August.
    4. Mobtaker, A. & Ouhimmou, M. & Audy, J.-F. & Rönnqvist, M., 2021. "A review on decision support systems for tactical logistics planning in the context of forest bioeconomy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    5. Efthymios Rodias & Remigio Berruto & Dionysis Bochtis & Alessandro Sopegno & Patrizia Busato, 2019. "Green, Yellow, and Woody Biomass Supply-Chain Management: A Review," Energies, MDPI, vol. 12(15), pages 1-22, August.
    6. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    7. Behroozeh, Samira & Hayati, Dariush & Karami, Ezatollah, 2022. "Determining and validating criteria to measure energy consumption sustainability in agricultural greenhouses," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    8. Pervanchon, F. & Bockstaller, C. & Girardin, P., 2002. "Assessment of energy use in arable farming systems by means of an agro-ecological indicator: the energy indicator," Agricultural Systems, Elsevier, vol. 72(2), pages 149-172, May.
    9. Ghatrehsamani, Shirin & Ebrahimi, Rahim & Kazi, Salim Newaz & Badarudin Badry, Ahmad & Sadeghinezhad, Emad, 2016. "Optimization model of peach production relevant to input energies – Yield function in Chaharmahal va Bakhtiari province, Iran," Energy, Elsevier, vol. 99(C), pages 315-321.
    10. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 15-35.
    11. Barut, Zeliha Bereket & Ertekin, Can & Karaagac, Hasan Ali, 2011. "Tillage effects on energy use for corn silage in Mediterranean Coastal of Turkey," Energy, Elsevier, vol. 36(9), pages 5466-5475.
    12. Plappally, A.K. & Lienhard V, J.H., 2012. "Energy requirements for water production, treatment, end use, reclamation, and disposal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4818-4848.
    13. Alluvione, Francesco & Moretti, Barbara & Sacco, Dario & Grignani, Carlo, 2011. "EUE (energy use efficiency) of cropping systems for a sustainable agriculture," Energy, Elsevier, vol. 36(7), pages 4468-4481.
    14. Fernández, David & Pozo, Carlos & Folgado, Rubén & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2018. "Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index," Applied Energy, Elsevier, vol. 212(C), pages 1563-1577.
    15. Sun Meng & Wei Zhou & Jin Chen & Cheng Zhang, 2018. "A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis," Energy & Environment, , vol. 29(2), pages 260-280, March.
    16. Stolarski, Mariusz J. & Dudziec, Paweł & Krzyżaniak, Michał & Graban, Łukasz & Lajszner, Waldemar & Olba–Zięty, Ewelina, 2024. "How do key for the bioenergy industry properties of baled biomass change over two years of storage?," Renewable Energy, Elsevier, vol. 224(C).
    17. Schipfer, Fabian & Kranzl, Lukas, 2019. "Techno-economic evaluation of biomass-to-end-use chains based on densified bioenergy carriers (dBECs)," Applied Energy, Elsevier, vol. 239(C), pages 715-724.
    18. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    19. Rendon-Sagardi, Miguel A. & Sanchez-Ramirez, Cuauhtemoc & Cortes-Robles, Guillermo & Alor-Hernandez, Giner & Cedillo-Campos, Miguel G., 2014. "Dynamic analysis of feasibility in ethanol supply chain for biofuel production in Mexico," Applied Energy, Elsevier, vol. 123(C), pages 358-367.
    20. Eriksson, Anders & Eliasson, Lars & Sikanen, Lauri & Hansson, Per-Anders & Jirjis, Raida, 2017. "Evaluation of delivery strategies for forest fuels applying a model for Weather-driven Analysis of Forest Fuel Systems (WAFFS)," Applied Energy, Elsevier, vol. 188(C), pages 420-430.

    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:gam:jsusta:v:9:y:2017:i:5:p:789-:d:98050. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.