Equipment size selection for optimizing polygeneration systems with reliability aspects

Charlette Cabral, Viknesh Andiappan, Kathleen Aviso*, Raymond Tan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Polygeneration systems produce multiple energy streams and other useful outputs at high efficiency and lower environmental impact than stand-alone systems. The interdependency among process units can however lead to cascading failures when equipment capacity fails to meet its load requirement. Since process units are commercially available in discrete sizes, the overall reliability of a polygeneration system is dependent on capacity-load ratio of the selected equipment. The conventional definition of reliability, which is based on whether equipment are operational or not, fails to account for the capacity-load ratio. To address this gap, this paper presents a mixed-integer nonlinear programming (MINLP) model for the synthesis of an optimal energy system that meets reliability specifications. The system reliability is optimized through selection of equipment capacity considering each process unit's intrinsic reliability profile relative to its capacity-load ratio. The rated capacity of the selected equipment size should exceed the expected load of each process unit by a margin that gives the required reliability. The model is applied to a polygeneration system case study to demonstrate its capabilities. The results emphasize the tradeoff between the total annualized cost and the system reliability.

Original languageEnglish
Article number121302
Early online date22 Jun 2021
Publication statusPublished - 1 Nov 2021


  • Capacity-load ratio
  • Energy system
  • Equipment size selection
  • Input-output model
  • Polygeneration
  • System reliability

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Modelling and Simulation
  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Pollution
  • Energy(all)
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law
  • Electrical and Electronic Engineering


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