Equipment size selection for optimizing polygeneration systems with reliability aspects

Cabral, Charlette; Andiappan, Viknesh; Aviso, Kathleen B.; Tan, Raymond R.

doi:10.1016/j.energy.2021.121302

Cited by 1 publication

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This work focused on analyzing safety for an energy system using P-graph-based model and subsequently apply redundancy allocation to improve the reliability of the energy system. Cabral et al 32 presented a mixed-integer non-linear programming model to optimize selection of equipment capacity for design of polygeneration system considering the equipment's reliability relative to its respective capacityload ratio. Asni et al 33 proposed a multi-objective fuzzy optimization model to synthesize a biomass CHP design considering cost, flexibility, and reliability expressed F I G U R E 1 Type of analytical methods for reliability assessment linearly mathematically.…”

Section: Introductionmentioning

confidence: 99%

Design of energy systems with redundancy allocation for unit operations based on supply reliability

Ling

Andiappan

Chew

2021

Intl J of Energy Research

Self Cite

View full text Add to dashboard Cite

Summary Several mathematical models have been developed in the past to consider reliability when designing energy systems. However, these models focus on the system reliability which only considers the operability of the system. Hence, a reliability indicator called supply reliability is introduced to explicitly assess an energy system's reliability meeting the desired energy demand. Besides, previous models can only allocate equipment with identical sizes and equipment reliability. This could overdesign systems and ignore the possibility of allocating a combination of different equipment sizes and reliability. This paper presents a combinatory matrix methodology for allocating equipment with different sizes and reliabilities to improve supply reliability of an energy system design. This combinatory matrix method is a novel feature that allows decision‐makers to efficiently evaluate various configurations of equipment based on size and reliability. A case study consisting of a power distribution network is first presented and solved as a pedagogical example to illustrate the methodology and features of the proposed approach. Then, a large‐scale power system case study in Malaysia combining existing conventional power equipment and a palm‐based bioelectricity supply chain is solved. Based on the optimized results, the redundancy allocated increased the energy generated from the bioelectricity supply chain by 74.14% and cost by 82.96% to achieve the desired energy demand at high supply reliability. This allows decision‐makers to determine the cost associated with improving supply reliability for an energy system.

show abstract

Section: Introductionmentioning

confidence: 99%