Leontief-Based Model of Risk in Complex Interconnected Infrastructures

Haimes, Yacov Y.; Pu, Jiang

doi:10.1061/(asce)1076-0342(2001)7:1(1)

Cited by 507 publications

(257 citation statements)

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“…The inoperability input-output model (IIM), as a derivative of the Leontief model, was first introduced by Haimes and Jiang (2001) to model interdependent infrastructure sectors. It was later developed further by Santos and Haimes (2004) to quantify the impact of terrorism on critical infrastructures.…”

Section: Methodsmentioning

confidence: 99%

Electricity Supply Interruptions

Poudineh

Jamasb

2015

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Tables and Figures AbstractThe power sector has a central role in modern economies and other interdependent infrastructures rely heavily upon secure electricity supplies. Due to interdependencies, major electricity supply interruptions result in cascading effects in other sectors of the economy. This paper investigates the economic effects of large power supply disruptions taking such interdependencies into account. We apply a dynamic inoperability input-output model (DIIM) to 101 sectors (including households) of the Scottish economy in 2009 in order to explore direct, indirect, and induced effects of electricity supply interruptions. We then estimate the societal cost of energy not supplied (SCENS) due to interruption, in the presence of interdependency among the sectors. The results show that the most economically affected industries, following an outage, can be different from the most inoperable ones. The results also indicate that SCENS varies with duration of a power cut, ranging from around £4300/MWh for a one-minute outage to around £8100/MWh for a three hour (and higher) interruption. The economic impact of estimates can be used to design policies for contingencies such as roll-out priorities as well as preventive investments in the sector.

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Section: Methodsmentioning

confidence: 99%

Electricity Supply Interruptions

Poudineh

Jamasb

2015

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“…This algebraic approach is based on the concept of inoperability or more readily known as inoperability input-output modelling (IIM). IIM is an approach proposed by Haimes and Jiang (2001) to analyse the failure of interdependent infrastructure systems (described by a system of linear equations) suffering from disruption events. Later, Kasivisvanathan et al (2013) adapted IIM to determine the optimal operational adjustments when disruptions occur in multi-functional energy systems.…”

Section: Operability Flexibility and Retrofit Of Energy Systemsmentioning

confidence: 99%

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

Andiappan

2017

Process Integr Optim Sustain

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An energy system is a crucial component in fulfilling the energy requirements of a given industrial process. If not designed appropriately, energy systems may not be able to perform designated operations in an optimised manner. Mathematical optimisation approaches have had a long history in addressing the synthesis of energy systems. Mathematical optimisation approaches are part of a larger domain known as process systems engineering (PSE). The main objective of this review is to provide a state-of-the-art overview of the mathematical optimisation approaches developed, particularly those developed for synthesis of energy systems, including the handling of uncertainty and the optimisation of multiple objectives. Subsequently, the synthesis of energy systems is further discussed on specific areas such as reliability, operability, flexibility and retrofit and eco-industrial parks. Following this, an overall analysis of the contributions in these areas is provided. Finally, future research directions are identified at the end of this review.

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“…A considerable fraction of related work examines critical infrastructure systems. The focus of the majority of studies related to CPSs, e.g., Haimes & Jiang (2001); Pederson (2006); Rinaldi (2004); Svendsen & Wolthusen (2007) is on interdependencies among different components of critical infrastructure. A relatively comprehensive summary of modeling and simulation techniques for critical infrastructure systems, an important category of CPSs, is provided in Rinaldi (2004).…”

Section: Related Workmentioning

confidence: 99%