Equipment size selection for optimizing polygeneration systems with reliability aspects

• Published in: Energy (Oxford) 2021-11, Vol.234, p.121302, Article 121302
• Main Authors: Cabral, Charlette, Andiappan, Viknesh, Aviso, Kathleen, Tan, Raymond
• Format: Article
• Language: English
• Subjects: Capacity-load ratio; Energy system; Environmental impact; Equipment size selection; Input-output model; Mixed integer; Nonlinear programming; Optimization; Polygeneration; Reliability aspects; System reliability
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2021.121302

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. •Energy system reliability can be defined as the probability that load does not exceed capacity.•An optimization model is developed to select equipment capacity from discrete options.•System reliability is a function of process unit capacities and actual loads.•The model selects equipment size to ensure that the target system reliability is met.•Higher system reliability requires oversizing the process unit capacities.