Dynamic simulator and model predictive control of an integrated solar combined cycle plant

Ponce, Carolina V.; Sáez, Doris; Bordons, Carlos; Núñez, Alfredo

doi:10.1016/j.energy.2016.04.129

Cited by 35 publications

(15 citation statements)

References 14 publications

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“…To summarize, the gas turbine dynamics may be expressed as: Power Turbinė m4 t and ηpt t from power turbine map, T5 t and U Wt from eqs. (9) and (10).…”

Section: Dynamicsmentioning

confidence: 99%

“…Gas turbine engine models have a pivotal role in this digital platform, since their simulations aid the development of engine controllers [9,10] and the optimization of operating schedules. Traditionally, the studies of industrial gas turbine operations have focused on their steady state behavior, with little attention paid to the transient operation.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications

Tsoutsanis

Meskin

2019

Applied Thermal Engineering

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“…To summarize, the gas turbine dynamics may be expressed as: Power Turbinė m4 t and ηpt t from power turbine map, T5 t and U Wt from eqs. (9) and (10).…”

Section: Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications

Tsoutsanis

Meskin

2019

Applied Thermal Engineering

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“…The comparison shows that the Type-2 fuzzy PI outperforms its rival. (Ponce et. al., 2016) designed and evaluated a dynamic simulator for an ISCC (Integrated solar combined cycle) plant.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Mathematical Modelling of Pressure Transfer Function for Air Compressor

Abdulkareem¹

2018

IJET

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A mathematical model is developed to estimate the pressure response of an insulated electric air compressor. A pressure switch is modeled as a comparator and the electric motor as an amplifier. It is assumed that the compressed air is a perfect gas when applying the isentropic process. In addition, the effect of a step, ramp and sinusoidal functions of disturbance signals on the air pressure has been studied. A good agreement was obtained when comparing the predicted results with the measured values obtained from the experimental test that was done using a (1.32 kW, 23 litter and 8 bar) electric reciprocating air compressor. In addition, the same behavior of the predicted results was obtained when compared with results of a previously published article. It was found that the time constant of this control system is directly proportional with the value of the spring constant that is inserted inside the pressure switch and with the volume of air storage vessel, and it is inversely proportional with the gain of the amplifier and with the effective cross -sectional area of the pressure switch diaphragm and it is independent of the value of operating pressure set point. In addition, when the value of disturbance signal is positive, it will increase the output pressure response and when it is negative, it will decrease it.

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“…Under invariant control the steam pressure overshoots decrease substantially in comparison with the traditional PID-feedback control method, (Sniders and Komass, 2012). (Ponce, et. al., 2016) designed and evaluated a dynamic simulator for an ISCC (Integrated solar combined cycle) plant.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Mathematical Modelling of Pressure Response for Steam Generator

Abdulkareem¹

2018

IJET

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Cold startup of boiler is the process of boiler operation with water at ambient temperature and pressure with all intake and discharge valves are fully closed to permit fast development of pressure. A mathematical model is developed to estimate the pressure response during cold startup of a perfectly insulated steam generator unit. A commercial type pressure switch is used in this unit to control and maintain the desired set point of the steam operating pressure. This mathematical model assume that the thermal properties of t he supplied liquid water are temperature dependent. It is based on a novel Pressure Marching Technique that is coded using a FORTRAN language computer program. The maximum percentage error of (8.24 %) was obtained when comparing the predicted results of the mathematical model with the measured values obtained from the experimental test that was done using a (2 kW) electric steam generator unit with a volume of (30 litter) and maximum operating pressure of (8 bar). In addition, the same behavior of the predicted results was obtained when compared with results of a previously published article. It was found that the time constant of the pressure control system is directly proportional with its operating pressure set point and with the volume of the steam generator and its void fracti on. A (50%) increase in the pressure set point will increase the time constant by (66.16%). Increasing the boiler volume by (166.667%) will increase the time constant by (166.677%) and increasing the boiler void fraction by (150%) will increase the time constant by (23.634%). The time constant is inversely proportional with the heating power of the steam generator. A (100%) increase in the heating power will decrease the time constant by (50%). The time constant is independent of the initial water temperature. Also, it was found that the time delay to start water evaporation is directly proportional with the volume of the steam generator. A (166.667%) increase in boiler volume will increase the time delay by (166.65%). The time delay is inversely proportional with the initial water temperature and with the heating power and void fraction of the steam generator. A (38.889%) increase in the initial water temperature will decrease the time delay by (8.882%). Increasing the heating power by (100%) will decrease the time delay by (50%) and increasing the boiler voi d fraction by (150%) will decrease the time delay by (16.665%). The time delay is independent on the operating pressure set point.

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Dynamic simulator and model predictive control of an integrated solar combined cycle plant

Cited by 35 publications

References 14 publications

Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications

Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications

Experimental Investigation and Mathematical Modelling of Pressure Transfer Function for Air Compressor

Experimental Investigation and Mathematical Modelling of Pressure Response for Steam Generator

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