Modelling and Optimization of Utility Systems

Varbanov, Petar Sabev; Doyle, Sarah; Smith, Robin

doi:10.1205/026387604323142603

Cited by 199 publications

(75 citation statements)

References 11 publications

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“…On the basis of the Steam Composite Curves, thermodynamic targets for heat and power cogeneration can be set. The cogeneration targeting model has been further refined and improved by Mavromatis and Kokossis [18] and later by Varbanov et al [19] and the most recently by Varbanov and Klemeš [20].…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

Process integration, modelling and optimisation for energy saving and pollution reduction

Friedler

2010

Applied Thermal Engineering

150

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Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

Process integration, modelling and optimisation for energy saving and pollution reduction

Friedler

2010

Applied Thermal Engineering

150

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“…Such heuristics have been applied extensively in the past. For example, Varbanov et al (2004) applied the heuristic of where the sum of all boiler sizes is designed to be 30% higher than the steam requirement in order to design an energy system. Recently, Maheri (2014) used safety factors to determine the optimal size of a hybrid renewable energy system considering multiple configurations.…”

Section: Reliability Aspects In Synthesis 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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“…Further improvements were made by using part load efficiencies for steam producing equipments (Varbanov et al, 2004;Voll et al, 2013) and Mixed Integer Non-Linear Programing (MINLP) formulations (Bruno et al, 1998;Chen and Lin, 2011) have produced more realistic results at the cost of higher computing power.…”

Section: Existing Work and Literature Reviewmentioning

confidence: 99%

Optimal Operations and Resilient Investments in Steam Networks

2016

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Steam is a key energy vector for industrial sites, most commonly used for process heating and cooling, cogeneration of heat and mechanical power as a motive fluid or for stripping. Steam networks are used to carry steam from producers to consumers and between pressure levels through letdowns and steam turbines. The steam producers (boilers, heat and power cogeneration units, heat exchangers, chemical reactors) should be sized to supply the consumers at nominal operating conditions as well as peak demand. First, this paper proposes an Mixed Integer Linear Programing formulation to optimize the operations of steam networks in normal operating conditions and exceptional demand (when operating reserves fall to zero), through the introduction of load shedding. Optimization of investments based on operational and investment costs are included in the formulation. Though rare, boiler failures can have a heavy impact on steam network operations and costs, leading to undercapacity and unit shutdowns. A method is therefore proposed to simulate steam network operations when facing boiler failures. Key performance indicators are introduced to quantify the network's resilience. The proposed methods are applied and demonstrated in an industrial case study using industrial data. The results indicate the importance of oversizing key steam producing equipments and the value of industrial symbiosis to increase industrial site resilience.

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Modelling and Optimization of Utility Systems

Cited by 199 publications

References 11 publications

Process integration, modelling and optimisation for energy saving and pollution reduction

Process integration, modelling and optimisation for energy saving and pollution reduction

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

Optimal Operations and Resilient Investments in Steam Networks

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