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Design Operability and Retrofit Analysis (DORA) framework for energy systems

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  • Andiappan, Viknesh
  • Ng, Denny K.S.
  • Tan, Raymond R.

Abstract

A systematic framework for Design Operability and Retrofit Analysis (DORA) is presented. DORA is a framework explicitly analyzing energy system design containing process units functioning at different levels of operability. To express the operability of individual process units, DORA uses inoperability input-output modeling (IIM) approach. Based on IIM, a simple mixed integer linear programming (MILP) model is developed to analyze the impact of individual process unit inoperability on the flexibility of an energy system design. In the case where a design is deemed to possess insufficient flexibility to meet demands, DORA framework subsequently entails a step-by-step guide to debottleneck and retrofit a given design based on benefit-cost ratio (BCR). In this work, the DORA framework is demonstrated using a biomass-based tri-generation system (BTS) case study. As shown in the case study, DORA framework is used to determine whether a BTS facing a drop in individual unit efficiency, would require debottlenecking and retrofitting to increase its energy production.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:1038-1052
    DOI: 10.1016/j.energy.2017.06.054
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    References listed on IDEAS

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    1. Andiappan, Viknesh & Tan, Raymond R. & Aviso, Kathleen B. & Ng, Denny K.S., 2015. "Synthesis and optimisation of biomass-based tri-generation systems with reliability aspects," Energy, Elsevier, vol. 89(C), pages 803-818.
    2. 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.
    3. Worrell, Ernst & Biermans, Gijs, 2005. "Move over! Stock turnover, retrofit and industrial energy efficiency," Energy Policy, Elsevier, vol. 33(7), pages 949-962, May.
    4. 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.
    5. 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.
    6. Herder, Paulien M. & Weijnen, Margot P. C., 2000. "A concurrent engineering approach to chemical process design," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 311-318, March.
    7. Panjeshahi, Mohammad Hassan & Tahouni, Nassim, 2008. "Pressure drop optimisation in debottlenecking of heat exchanger networks," Energy, Elsevier, vol. 33(6), pages 942-951.
    8. Lai, Sau Man & Hui, Chi Wai, 2009. "Feasibility and flexibility for a trigeneration system," Energy, Elsevier, vol. 34(10), pages 1693-1704.
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