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P-graph approach to optimal operational adjustment in polygeneration plants under conditions of process inoperability

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  • Tan, Raymond R.
  • Cayamanda, Christina D.
  • Aviso, Kathleen B.

Abstract

Polygeneration plants are inherently more efficient, and generate reduced emissions, in comparison to equivalent stand-alone production systems. These benefits arise from process integration opportunities within the plant. However, such integration also creates interdependencies among process units, which may lead to cascading failures in the event of partial or complete inoperability of key system components. In such cases, the major operational concern is to maximize operating profits (or minimize losses relative to the baseline state) by reallocating process streams; process units may be run at partial load or shut down completely, as needed. In previous work, it has been proposed to determine the optimal operational adjustments using mixed-integer linear programming (MILP). In this note, we propose an alternative methodology for determining the optimal adjustments based on P-graphs, and demonstrate it using a case study.

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  • 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.
    • Handle: RePEc:eee:appene:v:135:y:2014:i:c:p:402-406
    DOI: 10.1016/j.apenergy.2014.08.089
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    References listed on IDEAS

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    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.

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