IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v202y2020ics036054422030832x.html
   My bibliography  Save this article

Optimizing abnormal operations of off-grid community utility systems with fuzzy P-graph

Author

Listed:
  • Aviso, Kathleen B.
  • Marfori, Isidro Antonio V.
  • Tan, Raymond R.
  • Ubando, Aristotle T.

Abstract

Off-grid renewable energy systems provide opportunities to give electricity and other utilities to remote communities. Such communities may not have access to electricity, cooling, and purified water, or may require diesel-powered generators for such requirements. Mini- or micro-hydroelectric plants can be the core of facilities to meet these needs where there are sufficiently large rivers and favourable terrain. Such systems have advantages over solar or wind power in having minimal short-term fluctuations that necessitate the use of storage or back-up systems. Part of the power can be drawn off for drinking water purification or ice production. However, during drought, these facilities can suffer from a drop in output, in which case decision support would be needed to determine the optimal abnormal operating state during the crisis. A fuzzy P-graph approach is developed to determine the optimal solution in consideration of multiple product demands. Membership functions of the product demands are used to calibrate the degree of tolerable shortage based on community needs. The methodology is illustrated with a case study of a system operating under drought conditions. Results show that having a twin turbine MHP reduces the need to use a diesel back-up system, except in cases of extreme drought.

Suggested Citation

  • Aviso, Kathleen B. & Marfori, Isidro Antonio V. & Tan, Raymond R. & Ubando, Aristotle T., 2020. "Optimizing abnormal operations of off-grid community utility systems with fuzzy P-graph," Energy, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:energy:v:202:y:2020:i:c:s036054422030832x
    DOI: 10.1016/j.energy.2020.117725
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422030832X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.117725?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. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Tan, Raymond R. & Cayamanda, Christina D. & Aviso, Kathleen B., 2014. "P-graph approach to optimal operational adjustment in polygeneration plants under conditions of process inoperability," Applied Energy, Elsevier, vol. 135(C), pages 402-406.
    3. Kasivisvanathan, Harresh & Barilea, Ivan Dale U. & Ng, Denny K.S. & Tan, Raymond R., 2013. "Optimal operational adjustment in multi-functional energy systems in response to process inoperability," Applied Energy, Elsevier, vol. 102(C), pages 492-500.
    4. Aristotle T. Ubando & Isidro Antonio V. Marfori & Kathleen B. Aviso & Raymond R. Tan, 2019. "Optimal Operational Adjustment of a Community-Based Off-Grid Polygeneration Plant using a Fuzzy Mixed Integer Linear Programming Model," Energies, MDPI, vol. 12(4), pages 1-17, February.
    5. Voll, Philip & Jennings, Mark & Hennen, Maike & Shah, Nilay & Bardow, André, 2015. "The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis," Energy, Elsevier, vol. 82(C), pages 446-456.
    6. Tan, R.R. & Aviso, K.B. & Cayamanda, C.D. & Chiu, A.S.F. & Promentilla, M.A.B. & Ubando, A.T. & Yu, K.D.S., 2016. "A fuzzy linear programming enterprise input–output model for optimal crisis operations in industrial complexes," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 410-418.
    7. Perry, Simon & Klemeš, Jiří & Bulatov, Igor, 2008. "Integrating waste and renewable energy to reduce the carbon footprint of locally integrated energy sectors," Energy, Elsevier, vol. 33(10), pages 1489-1497.
    8. Voll, Philip & Klaffke, Carsten & Hennen, Maike & Bardow, André, 2013. "Automated superstructure-based synthesis and optimization of distributed energy supply systems," Energy, Elsevier, vol. 50(C), pages 374-388.
    9. Aviso, Kathleen B. & Tan, Raymond R., 2018. "Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems," Energy, Elsevier, vol. 154(C), pages 258-268.
    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. Volpato, Gabriele & Carraro, Gianluca & Cont, Marco & Danieli, Piero & Rech, Sergio & Lazzaretto, Andrea, 2022. "General guidelines for the optimal economic aggregation of prosumers in energy communities," Energy, Elsevier, vol. 258(C).
    2. Seferlis, Panos & Varbanov, Petar Sabev & Papadopoulos, Athanasios I. & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2021. "Sustainable design, integration, and operation for energy high-performance process systems," Energy, Elsevier, vol. 224(C).

    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. Aviso, Kathleen B. & Tan, Raymond R., 2018. "Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems," Energy, Elsevier, vol. 154(C), pages 258-268.
    2. Aristotle T. Ubando & Isidro Antonio V. Marfori & Kathleen B. Aviso & Raymond R. Tan, 2019. "Optimal Operational Adjustment of a Community-Based Off-Grid Polygeneration Plant using a Fuzzy Mixed Integer Linear Programming Model," Energies, MDPI, vol. 12(4), pages 1-17, February.
    3. Andiappan, Viknesh & Ng, Denny K.S. & Tan, Raymond R., 2017. "Design Operability and Retrofit Analysis (DORA) framework for energy systems," Energy, Elsevier, vol. 134(C), pages 1038-1052.
    4. Tan, R.R. & Aviso, K.B. & Cayamanda, C.D. & Chiu, A.S.F. & Promentilla, M.A.B. & Ubando, A.T. & Yu, K.D.S., 2016. "A fuzzy linear programming enterprise input–output model for optimal crisis operations in industrial complexes," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 410-418.
    5. Sun, Li & Doyle, Stephen & Smith, Robin, 2016. "Understanding steam costs for energy conservation projects," Applied Energy, Elsevier, vol. 161(C), pages 647-655.
    6. Bahl, Björn & Kümpel, Alexander & Seele, Hagen & Lampe, Matthias & Bardow, André, 2017. "Time-series aggregation for synthesis problems by bounding error in the objective function," Energy, Elsevier, vol. 135(C), pages 900-912.
    7. Yokoyama, Ryohei & Shinano, Yuji & Taniguchi, Syusuke & Wakui, Tetsuya, 2019. "Search for K-best solutions in optimal design of energy supply systems by an extended MILP hierarchical branch and bound method," Energy, Elsevier, vol. 184(C), pages 45-57.
    8. András Éles & István Heckl & Heriberto Cabezas, 2021. "Modeling technique in the P-Graph framework for operating units with flexible input ratios," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 463-489, June.
    9. Sy, Charlle L. & Aviso, Kathleen B. & Ubando, Aristotle T. & Tan, Raymond R., 2016. "Target-oriented robust optimization of polygeneration systems under uncertainty," Energy, Elsevier, vol. 116(P2), pages 1334-1347.
    10. Tan, Raymond R. & Aviso, Kathleen B. & Foo, Dominic C.Y. & Lee, Jui-Yuan & Ubando, Aristotle T., 2019. "Optimal synthesis of negative emissions polygeneration systems with desalination," Energy, Elsevier, vol. 187(C).
    11. Sun, Li & Gai, Limei & Smith, Robin, 2017. "Site utility system optimization with operation adjustment under uncertainty," Applied Energy, Elsevier, vol. 186(P3), pages 450-456.
    12. Urban, Kristof L. & Scheller, Fabian & Bruckner, Thomas, 2021. "Suitability assessment of models in the industrial energy system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    13. Bahl, Björn & Lampe, Matthias & Voll, Philip & Bardow, André, 2017. "Optimization-based identification and quantification of demand-side management potential for distributed energy supply systems," Energy, Elsevier, vol. 135(C), pages 889-899.
    14. Qiao Zhao & Mounir Mecheri & Thibaut Neveux & Romain Privat & Jean-Noël Jaubert & Yann Le Moullec, 2023. "Search for the Optimal Design of a Supercritical-CO 2 Brayton Power Cycle from a Superstructure-Based Approach Implemented in a Commercial Simulation Software," Energies, MDPI, vol. 16(14), pages 1-31, July.
    15. Mah, Angel Xin Yee & Ho, Wai Shin & Hassim, Mimi H. & Hashim, Haslenda & Ling, Gabriel Hoh Teck & Ho, Chin Siong & Muis, Zarina Ab, 2021. "Optimization of photovoltaic-based microgrid with hybrid energy storage: A P-graph approach," Energy, Elsevier, vol. 233(C).
    16. Jing, Rui & Kuriyan, Kamal & Kong, Qingyuan & Zhang, Zhihui & Shah, Nilay & Li, Ning & Zhao, Yingru, 2019. "Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    17. Lee, Jui-Yuan & Aviso, Kathleen B. & Tan, Raymond R., 2019. "Multi-objective optimisation of hybrid power systems under uncertainties," Energy, Elsevier, vol. 175(C), pages 1271-1282.
    18. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    19. Berna Tektas Sivrikaya & Ferhan Cebi & Hasan Hüseyin Turan & Nihat Kasap & Dursun Delen, 2017. "A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts," Information Systems Frontiers, Springer, vol. 19(5), pages 975-991, October.
    20. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.

    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:energy:v:202:y:2020:i:c:s036054422030832x. 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/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.