Stochastic model for operation of bottoming-cycle cogeneration facility

Youn, L. T. O.; Leem, Koung Hee

doi:10.1109/fps.2005.204271

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…The fuel consumption of the boiler is given by (22). Besides, the output heat limitation of the boiler considering its availability is expressed as (22) …”

Section: F Boiler Constraintsmentioning

confidence: 99%

“…An effective approach to cogeneration planning has been presented in [21] based on multiple time frames and resorting to the decision theory concepts for analyzing different scenarios and alternatives in the presence of uncertain variables. In [22], the electric and heat demands have been regarded as random variables. Reference [23] applies a 2-D probabilistic production approach for expansion planning of CHP systems.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Configuration of the CHP System Using Stochastic Programming

Benam

Madani

Alavi

et al. 2015

IEEE Trans. Power Delivery

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This study presents a reliability-constrained optimization approach to determine the number and size of combined heat and power (CHP) system components, including CHP units, auxiliary boilers, and heat-storage tanks. To this end, the loss-of-load expectation and the expected energy not supplied are considered since the reliability indices ensure the security of operation. The load forecasting inaccuracy and the random outages of CHP system components as well as the loss of mains are modeled as a scenario tree using the Monte Carlo sampling approach. The problem is formulated as two-stage stochastic mixed integer linear programming. A scenario reduction technique is also introduced to reduce the computational burden of the scenario-based planning problem. Finally, the proposed model is applied to a large residential complex in Tehran as a case study.

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“…The fuel consumption of the boiler is given by (22). Besides, the output heat limitation of the boiler considering its availability is expressed as (22) …”

Section: F Boiler Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of the CHP System Using Stochastic Programming

Benam

Madani

Alavi

et al. 2015

IEEE Trans. Power Delivery

View full text Add to dashboard Cite

show abstract

“…In that case L E,H is two-dimensional random vector, presented by its load probability density function LPDF E,H . Many authors, like [45][46][47][48][49][50][51], used this approach. The meaning of LPDF E,H = f E,H (e, h) of random energy vector L E,H (heat, electricity) is defined by (6).…”

Section: Stochastic Model Of Two-dimensional Loadmentioning

confidence: 99%

New Approach for Stochastic Modelling of Microgrid Containing CHP

Perić¹,

Plavšić²,

Kuzle

2018

Teh. vjesn.

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The focus in this article is on long term load forecasting and expansion generation planning of the microgrids containing multiple load type consumption. The novel approach of planning cogeneration systems by introducing the function of simultaneous heat and electricity duration is presented. The function is extended form of load duration curve in such a way as to capture the simultaneity of different type of energy load. The paper contains seven chapters. In the second chapter the load forecasting methods are summarized. In continuation as an introduction to the main goal of this article, definition, application and restriction of load duration curve is presented. In the fourth chapter, some outlines about cogeneration system planning are given. The new approach for planning of microgrid contacting CHP based on probabilistic approach is presented in the fifth chapter. In the sixth chapter are demonstrated some application functions of simultaneous heat and electricity duration as a tool for planning multi energy systems.

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Energy and Exergy Analyses of Regenerative Gas Turbine Air-Bottoming Combined Cycle: Optimum Performance

Khan

2020

Arab J Sci Eng

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Stochastic model for operation of bottoming-cycle cogeneration facility

Cited by 6 publications

References 3 publications

Optimal Configuration of the CHP System Using Stochastic Programming

Optimal Configuration of the CHP System Using Stochastic Programming

New Approach for Stochastic Modelling of Microgrid Containing CHP

Energy and Exergy Analyses of Regenerative Gas Turbine Air-Bottoming Combined Cycle: Optimum Performance

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