An algebraic approach to identifying bottlenecks in linear process models of multifunctional energy systems

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

“…A comprehensive mixed integer linear programming (MILP) based approach was developed by Piacentino et al [11] and subsequently demonstrated with various real applications involving supply of energy to clusters of buildings under different economic conditions [12]. Tan et al [13] proposed an algebraic approach for identifying bottlenecks in polygeneration systems that may arise from changes in product demand. A subsequent paper proposed an MILP model for the optimal allocation of streams under abnormal operating conditions resulting from partial or complete loss of capacity in some process units [6]; this work was based on a more general approach for optimal stream reallocation in linear input-output systems [14].…”

Probabilistic multi-disruption risk analysis in bioenergy parks via physical input–output modeling and analytic hierarchy process

“…I-O is a systematic method to quantify the relationship between the components of a complex system (e.g., economic system) (Miller and Blair, 2009). Previous works used I-O analysis in modeling supply perturbations in economic systems (Khanna and Bakshi, 2009), determining key economic and infrastructure sectors (Barker and Santos, 2010), identifying bottlenecks in multifunctional energy systems (Tan et al, 2012), prioritization of economic sectors based on disaster vulnerability (Yu et al, 2014), and criticality ranking of component plants in a bioenergy park (Benjamin et al, 2015). However, to date, I-O and AHP-based approaches have not been explicitly used to develop a framework to quantify and analyze the risks resulting from plant capacity disruptions within bioenergy parks or IS networks in general.…”

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

“…Most recently, Tan et al (2012) developed a methodology for the identification of bottlenecks in continuous process plants that can be described by a system of linear equations. This algebraic approach is based on the concept of inoperability or more readily known as inoperability input-output modelling (IIM).…”

“…• Process simulation tool Tan et al (2012) • Identification of operational bottlenecks in multifunctional energy systems, when there is a change in production capacity.…”