A new cogeneration targeting procedure for total site utility system

Manesh, Mohammad Hasan Khoshgoftar; Amidpour, Majid; Abadi, S. Khamis; Hamedi, Mohammad-Hossein

doi:10.1016/j.applthermaleng.2013.01.043

Cited by 23 publications

(1 citation statement)

References 10 publications

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“…Power could be estimated on the basis of energy balance and thermodynamic principles, including linear algebraic approaches based on extractable power and steam main efficiency, nonlinear mathematical models, entropy and enthalpy analysis to determine turbine mass flow rate and turbine efficiency, a shortcut method based on both mass and heat integration, a bottom-to-top model with the assumption of constant turbine isentropic efficiencies, , and bottom-up and top-down combination procedures for power prediction . For these methods, complex working fluid physical properties estimation and model nonlinear nature cause calculation difficulties for accurate power prediction.…”

Section: Introductionmentioning

confidence: 99%

Performance Modeling of New and Existing Steam Turbines

Sun

Smith

2015

Ind. Eng. Chem. Res.

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This work investigates the effect of structural parameters (turbine size and type) and operating parameters (inlet steam temperature and pressure, steam flow rate, single or multistage exhaust rate, and pressures) on turbine performance for power generation. The paper extends the steam turbine performance model based on the Willans line. The model achieves high accuracy for a wide range of steam turbines at full-load and part-load operation, which has been verified against data for commercial turbines and from the available literature. The correlation of turbine efficiencies provides realistic insights from the model. The model can be applied in utility system design, operational optimization, and system retrofit with complex multistage turbines. For existing turbines, adjustment of operating conditions and steam header conditions can be explored. This overcomes problems from previous correlations, which did not account for changes in steam main pressures. Regression of coefficients from existing turbine operating data can be used to give better performance prediction for existing turbines, allowing more effective system optimization.

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Section: Introductionmentioning

confidence: 99%

Performance Modeling of New and Existing Steam Turbines

Sun

Smith

2015

Ind. Eng. Chem. Res.

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Multiobjective design of interplant trigeneration systems

et al. 2013

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A systematic approach for heat integration into an eco‐industrial park through an integrated trigeneration system is presented. The approach is based on a new superstructure formulated as a multiobjective mixed‐integer nonlinear programming model, where intraplant and interplant heat exchange for the process streams is allowed, in addition to the energy integration into the utility system that is constituted by a steam Rankine cycle (to produce electric power and hot utility), an organic Rankine cycle (to recover waste heat and produce electric power), and an absorption refrigeration cycle (to recover waste heat and provide refrigeration). To run the utility system, several external heat sources (solar, fossil fuels, and biofuels) are considered, which impact the economic, environmental, and social objectives considered in the model. A systematic approach to tradeoff the objectives considered is presented. Two examples are presented, where the advantages of the integrated eco‐industrial park are shown. © 2013 American Institute of Chemical Engineers AIChE J, 60: 213–236, 2014

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Cogeneration and polygeneration

Amidpour

Manesh

2021

Cogeneration and Polygeneration Systems

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A new cogeneration targeting procedure for total site utility system

Cited by 23 publications

References 10 publications

Performance Modeling of New and Existing Steam Turbines

Performance Modeling of New and Existing Steam Turbines

Multiobjective design of interplant trigeneration systems

Cogeneration and polygeneration

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