IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v236y2019icp183-195.html
   My bibliography  Save this article

Simulation based evolutionary algorithms for fuzzy chance-constrained biogas supply chain design

Author

Listed:
  • Khishtandar, Soheila

Abstract

This study proposes a fuzzy chance-constrained programming model to include uncertainty in the biogas supply chain design problem. Uncertain parameters of the model are available workforce, biomass demand, available biomass and biomass price. A hybrid solution framework consisting of Monte Carlo simulation and evolutionary algorithms (genetic algorithm and differential evolution) is put forward to find the exact and near global optimal solution for the fuzzy chance-constrained model. The results of the test problems show that evolutionary algorithms can effectively solve the mixed integer nonlinear model of biogas location allocation within a reasonable computational time. Also, validation of the hybrid solution framework at different confidence levels is verified. The impacts of uncertainty in available biomass, biomass demand and available workforce on the overall cost of biogas supply chain are studied through sensitivity analysis. A real-world case study with real-life data available from the Province of Khorasan Razavi is performed. This is the first study that designs a biogas supply chain for a province of Iran.

Suggested Citation

  • Khishtandar, Soheila, 2019. "Simulation based evolutionary algorithms for fuzzy chance-constrained biogas supply chain design," Applied Energy, Elsevier, vol. 236(C), pages 183-195.
    • Handle: RePEc:eee:appene:v:236:y:2019:i:c:p:183-195
    DOI: 10.1016/j.apenergy.2018.11.092
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918318087
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.11.092?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. Chen, F. & Huang, G.H. & Fan, Y.R. & Chen, J.P., 2017. "A copula-based fuzzy chance-constrained programming model and its application to electric power generation systems planning," Applied Energy, Elsevier, vol. 187(C), pages 291-309.
    2. Ingrao, Carlo & Rana, Roberto & Tricase, Caterina & Lombardi, Mariarosaria, 2015. "Application of Carbon Footprint to an agro-biogas supply chain in Southern Italy," Applied Energy, Elsevier, vol. 149(C), pages 75-88.
    3. Nzila, Charles & Dewulf, Jo & Spanjers, Henri & Tuigong, David & Kiriamiti, Henry & van Langenhove, Herman, 2012. "Multi criteria sustainability assessment of biogas production in Kenya," Applied Energy, Elsevier, vol. 93(C), pages 496-506.
    4. Li, Yang & Feng, Bo & Li, Guoqing & Qi, Junjian & Zhao, Dongbo & Mu, Yunfei, 2018. "Optimal distributed generation planning in active distribution networks considering integration of energy storage," Applied Energy, Elsevier, vol. 210(C), pages 1073-1081.
    5. Yang, Jin & Chen, Bin, 2014. "Emergy analysis of a biogas-linked agricultural system in rural China – A case study in Gongcheng Yao Autonomous County," Applied Energy, Elsevier, vol. 118(C), pages 173-182.
    6. Juping Shao & Yanan Sun & Bernd Noche, 2015. "Optimization of Strategic Alliance Supply Chain Logistics Planning Under Uncertain Environment," Springer Books, in: Optimization of Integrated Supply Chain Planning under Multiple Uncertainty, edition 127, chapter 0, pages 57-99, Springer.
    7. Awudu, Iddrisu & Zhang, Jun, 2012. "Uncertainties and sustainability concepts in biofuel supply chain management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1359-1368.
    8. Juping Shao & Yanan Sun & Bernd Noche, 2015. "Optimization of Decentralized Control Supply Chain Logistics Planning Under Uncertain Environment," Springer Books, in: Optimization of Integrated Supply Chain Planning under Multiple Uncertainty, edition 127, chapter 0, pages 101-147, Springer.
    9. Batzias, F.A. & Sidiras, D.K. & Spyrou, E.K., 2005. "Evaluating livestock manures for biogas production: a GIS based method," Renewable Energy, Elsevier, vol. 30(8), pages 1161-1176.
    10. Fu, D.Z. & Zheng, Z.Y. & Shi, H.B. & Xiao, Rui & Huang, G.H. & Li, Y.P., 2017. "A multi-fuel management model for a community-level district heating system under multiple uncertainties," Energy, Elsevier, vol. 128(C), pages 337-356.
    11. Wu, C.B. & Huang, G.H. & Li, W. & Xie, Y.L. & Xu, Y., 2015. "Multistage stochastic inexact chance-constraint programming for an integrated biomass-municipal solid waste power supply management under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1244-1254.
    12. Wu, Bingqing & Sarker, Bhaba R. & Paudel, Krishna P., 2015. "Sustainable energy from biomass: Biomethane manufacturing plant location and distribution problem," Applied Energy, Elsevier, vol. 158(C), pages 597-608.
    13. Höhn, J. & Lehtonen, E. & Rasi, S. & Rintala, J., 2014. "A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland," Applied Energy, Elsevier, vol. 113(C), pages 1-10.
    14. Khishtandar, Soheila & Zandieh, Mostafa & Dorri, Behrouz, 2017. "A multi criteria decision making framework for sustainability assessment of bioenergy production technologies with hesitant fuzzy linguistic term sets: The case of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1130-1145.
    15. Morin, Philippe & Marcos, Bernard & Moresoli, Christine & Laflamme, Claude B., 2010. "Economic and environmental assessment on the energetic valorization of organic material for a municipality in Quebec, Canada," Applied Energy, Elsevier, vol. 87(1), pages 275-283, January.
    16. Juping Shao & Yanan Sun & Bernd Noche, 2015. "Optimization of Mixed Control Supply Chain Logistics Planning Under Uncertain Environment," Springer Books, in: Optimization of Integrated Supply Chain Planning under Multiple Uncertainty, edition 127, chapter 0, pages 149-183, Springer.
    17. Calderón, Andrés J. & Agnolucci, Paolo & Papageorgiou, Lazaros G., 2017. "An optimisation framework for the strategic design of synthetic natural gas (BioSNG) supply chains," Applied Energy, Elsevier, vol. 187(C), pages 929-955.
    18. Juping Shao & Yanan Sun & Bernd Noche, 2015. "Optimization of Integrated Supply Chain Planning under Multiple Uncertainty," Springer Books, Springer, edition 127, number 978-3-662-47250-7, January.
    19. Mæng, H. & Lund, H. & Hvelplund, F., 1999. "Biogas plants in Denmark: technological and economic developments," Applied Energy, Elsevier, vol. 64(1-4), pages 195-206, September.
    20. Osmani, Atif & Zhang, Jun, 2014. "Economic and environmental optimization of a large scale sustainable dual feedstock lignocellulosic-based bioethanol supply chain in a stochastic environment," Applied Energy, Elsevier, vol. 114(C), pages 572-587.
    21. Quddus, Md Abdul & Chowdhury, Sudipta & Marufuzzaman, Mohammad & Yu, Fei & Bian, Linkan, 2018. "A two-stage chance-constrained stochastic programming model for a bio-fuel supply chain network," International Journal of Production Economics, Elsevier, vol. 195(C), pages 27-44.
    22. Zhou, Xiong & Huang, Guohe & Zhu, Hua & Chen, Jiapei & Xu, Jinliang, 2015. "Chance-constrained two-stage fractional optimization for planning regional energy systems in British Columbia, Canada," Applied Energy, Elsevier, vol. 154(C), pages 663-677.
    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. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Shahbazbegian, Vahid, 2020. "Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty," Applied Energy, Elsevier, vol. 280(C).
    2. Caldeira, Carla & Swei, Omar & Freire, Fausto & Dias, Luis C. & Olivetti, Elsa A. & Kirchain, Randolph, 2019. "Planning strategies to address operational and price uncertainty in biodiesel production," Applied Energy, Elsevier, vol. 238(C), pages 1573-1581.
    3. Sinha, Priyank & Kumar, Sameer & Chandra, Charu, 2023. "Strategies for ensuring required service level for COVID-19 herd immunity in Indian vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 304(1), pages 339-352.
    4. Ghazale Kordi & Parsa Hasanzadeh-Moghimi & Mohammad Mahdi Paydar & Ebrahim Asadi-Gangraj, 2023. "A multi-objective location-routing model for dental waste considering environmental factors," Annals of Operations Research, Springer, vol. 328(1), pages 755-792, September.
    5. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    6. Soheyl Khalilpourazari & Saman Khalilpourazary & Aybike Özyüksel Çiftçioğlu & Gerhard-Wilhelm Weber, 2021. "Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1621-1647, August.
    7. Shahbazbegian, Vahid & Hosseini-Motlagh, Seyyed-Mahdi & Haeri, Abdorrahman, 2020. "Integrated forward/reverse logistics thin-film photovoltaic power plant supply chain network design with uncertain data," Applied Energy, Elsevier, vol. 277(C).
    8. Akhtari, Shaghaygh & Sowlati, Taraneh, 2020. "Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 259(C).
    9. Tosarkani, Babak Mohamadpour & Amin, Saman Hassanzadeh & Zolfagharinia, Hossein, 2020. "A scenario-based robust possibilistic model for a multi-objective electronic reverse logistics network," International Journal of Production Economics, Elsevier, vol. 224(C).
    10. Masoumi, A.P. & Tavakolpour-Saleh, A.R. & Rahideh, A., 2020. "Applying a genetic-fuzzy control scheme to an active free piston Stirling engine: Design and experiment," Applied Energy, Elsevier, vol. 268(C).
    11. Mohammad Kanan & Muhammad Salman Habib & Tufail Habib & Sadaf Zahoor & Anas Gulzar & Hamid Raza & Zaher Abusaq, 2022. "A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties," Sustainability, MDPI, vol. 14(18), pages 1-32, 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. Bacenetti, Jacopo & Sala, Cesare & Fusi, Alessandra & Fiala, Marco, 2016. "Agricultural anaerobic digestion plants: What LCA studies pointed out and what can be done to make them more environmentally sustainable," Applied Energy, Elsevier, vol. 179(C), pages 669-686.
    2. 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.
    3. Yang, Jin & Chen, Bin, 2014. "Emergy analysis of a biogas-linked agricultural system in rural China – A case study in Gongcheng Yao Autonomous County," Applied Energy, Elsevier, vol. 118(C), pages 173-182.
    4. Indre Siksnelyte & Edmundas Kazimieras Zavadskas & Dalia Streimikiene & Deepak Sharma, 2018. "An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues," Energies, MDPI, vol. 11(10), pages 1-21, October.
    5. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    6. Chagas, Guilherme O. & Coelho, Leandro C. & Darvish, Maryam & Renaud, Jacques, 2023. "Modeling and solving the waste valorization production and distribution scheduling problem," European Journal of Operational Research, Elsevier, vol. 306(1), pages 400-417.
    7. Zhang, Long & Bai, Wuliyasu, 2021. "Sustainability of crop–based biodiesel for transportation in China: Barrier analysis and life cycle ecological footprint calculations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    8. Sekeroglu, Ahmet & Erol, Demet, 2023. "Site selection modeling of hybrid renewable energy facilities using suitability index in spatial planning," Renewable Energy, Elsevier, vol. 219(P1).
    9. Yin, J.N. & Huang, G.H. & Xie, Y.L. & An, Y.K., 2021. "Carbon-subsidized inter-regional electric power system planning under cost-risk tradeoff and uncertainty: A case study of Inner Mongolia, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    10. Buffat, René & Raubal, Martin, 2019. "Spatio-temporal potential of a biogenic micro CHP swarm in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 443-454.
    11. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    12. Lixia H. Lambert & Eric A. DeVuyst & Burton C. English & Rodney Holcomb, 2021. "Analyzing the Trade-Offs between Meeting Biorefinery Production Capacity and Feedstock Supply Cost: A Chance Constrained Approach," Energies, MDPI, vol. 14(16), pages 1-13, August.
    13. Guan, Panbo & Huang, Guohe & Wu, Chuanbao & Wang, Linrui & Li, Chaoci & Wang, Yuanyi, 2019. "Analysis of emission taxes levying on regional electric power structure adjustment with an inexact optimization model - A case study of Zibo, China," Energy Economics, Elsevier, vol. 84(C).
    14. Zhang, Binyue & Chen, Bin, 2017. "Sustainability accounting of a household biogas project based on emergy," Applied Energy, Elsevier, vol. 194(C), pages 819-831.
    15. Soha, Tamás & Papp, Luca & Csontos, Csaba & Munkácsy, Béla, 2021. "The importance of high crop residue demand on biogas plant site selection, scaling and feedstock allocation – A regional scale concept in a Hungarian study area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    16. Tomaž Levstek & Črtomir Rozman, 2022. "A Model for Finding a Suitable Location for a Micro Biogas Plant Using Gis Tools," Energies, MDPI, vol. 15(20), pages 1-21, October.
    17. Namuli, R. & Pillay, P. & Jaumard, B. & Laflamme, C.B., 2013. "Threshold herd size for commercial viability of biomass waste to energy conversion systems on rural farms," Applied Energy, Elsevier, vol. 108(C), pages 308-322.
    18. Shabani, Nazanin & Sowlati, Taraneh & Ouhimmou, Mustapha & Rönnqvist, Mikael, 2014. "Tactical supply chain planning for a forest biomass power plant under supply uncertainty," Energy, Elsevier, vol. 78(C), pages 346-355.
    19. Djatkov, Djordje & Effenberger, Mathias & Martinov, Milan, 2014. "Method for assessing and improving the efficiency of agricultural biogas plants based on fuzzy logic and expert systems," Applied Energy, Elsevier, vol. 134(C), pages 163-175.
    20. Valenti, Francesca & Porto, Simona M.C. & Dale, Bruce E. & Liao, Wei, 2018. "Spatial analysis of feedstock supply and logistics to establish regional biogas power generation: A case study in the region of Sicily," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 50-63.

    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:appene:v:236:y:2019:i:c:p:183-195. 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/405891/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.