Multi-objective linear regression based optimization of full repowering a single pressure steam power plant

Mehrpanahi, Abdollah; Naserabad, Sadegh Nikbakht; Ahmadi, Gholamreza

doi:10.1016/j.energy.2019.04.208

Cited by 15 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A simple cycle of a power plant without using dissipated heat commonly has efficiency between 25% and 40% 27 while efficiency in that power plant using a combined cycle would be about 50%. 28 As mentioned before these power plants are constructed by combining gas and steam turbines; there are different kinds of these power plants in terms of turbines, heat recovery boilers, and recovery devices. Using gas turbines in combined cycles improves its low efficiency; consequently, it can be used to provide basic load.…”

Section: Combined Cyclementioning

confidence: 99%

Multiobjective optimization of heat recovery steam generator in a combined cycle power using genetic algorithm

Mehrpanahi,

Akbari Vakilabadi,

Nikbakht Naserabad

et al. 2023

Energy Science & Engineering

View full text Add to dashboard Cite

Due to the increasing demand for electrical energy, efforts to increase the thermal efficiency of the steam and gas power plants have led to extensive reform in these cycles. One of these common reforms is employing a conventional combined gas‐steam cycle. In combined cycle power plants that are built to produce power, a significant portion of the input energy is lost. In this research to achieve the thermodynamic properties of a combined cycle power plant after modeling the cycle and determining the cycle potential independent variables, multiobjective optimization by imposing restrictions on cost functions and changing them concerning exergy efficiency has been analyzed. The results show that increasing the parameters of superheated temperature, pinch point temperature difference, pump exhaust pressure, and condenser inlet flow rate improves the system performance and increases exergy efficiency. It is shown by two‐objective optimization that when costs are increased up to 40%, exergy efficiency is increased, and when an increase is more than 40% repeated results would be obtained. Applying costs lower than 5% is not considered according to software limitations. Also, the results show that it is possible to increase exergy efficiency up to 79.7% with a 40% investment cost.

show abstract

Section: Combined Cyclementioning

confidence: 99%

Multiobjective optimization of heat recovery steam generator in a combined cycle power using genetic algorithm

Mehrpanahi,

Akbari Vakilabadi,

Nikbakht Naserabad

et al. 2023

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…The amount of CO 2 produced in the combustion chamber is due to the combustion reaction, which is associated with various properties, including the temperature of the adiabatic flame. The adiabatic flame temperature can be calculated from the following equation:

T_{pz} = A σ^{α} \exp ((), β {(σ + λ)}^{2}) π^{x^{*}} θ^{y^{*}} ξ^{z^{*}}

{\dot{m}}_{{CO}_{2}} = 44.01 \times x \times ((), \frac{{\dot{m}}_{fuel}}{m_{fuel}}),

where x is the molar ratio in Equation of carbon in the fuel and the molecular weight of the fuel. This simple equation estimates precisely the amount of CO 2 emissions in the complete combustion process.…”

Section: System Description and Modeling Proceduresmentioning

confidence: 99%

mentioning

confidence: 99%

Exergetic, economic, and environmental analyses of combined cooling and power plants with parabolic solar collector

Javadi

Ahmadi

Khalaji

2019

Env Prog and Sustain Energy

View full text Add to dashboard Cite

Due to the necessity of achieving the energy systems with improved efficiency, combined power plants are developing in recent decades. Moreover, employing renewable energy sources in the power generation and heating/cooling purposes is an attractive idea to obtain more environmentally benign energy systems. In the current study, a combined cooling and power (CCP) plant is analyzed based on exergy and economic concepts. Afterward, by adding lithium‐bromide refrigeration cycle and parabolic solar collectors, the plant is investigated. The exergy efficiency, carbon dioxide emission, and cost of generated electricity are evaluated on the basis of SPECO model. The results of the study show that thermal and exergy efficiencies of the CCP plant with the solar collector depend on various parameters and can be affected significantly. The efficiency of the plant after applying lithium‐bromide refrigeration cycle and the solar collector increased from 50.33 to 51.73%, while the exergy efficiency enhanced from 47.48 to 48.22%. In addition, it was concluded that adding the collector and absorption chiller leads to 1.5% reduction in environmental pollutants.

show abstract

“…Dincer and Rosen 8 presented a comprehensive analysis to showcase the exergy and energy as parameters to evaluate the steam power cycle and possible modifications to enhance its performance. Mehrpanahi et al 9 performed exergoeconomic analysis and optimization of Be'sat power plant. The authors considered different temperatures and isentropic efficiency of the components during their repowering analysis.…”

Section: Introductionmentioning

confidence: 99%

Energy, economy, and ecological (3E)‐based performance evaluation of a steam cycle power plant through optimization investigation

et al. 2021

View full text Add to dashboard Cite

Energy, economy, and ecological (3E)-based analysis of steam cycle power plant evaluated through multiobjective investigation. The Montazer Ghaem steambased power plant situated in Iran is considered for investigation. Cycle efficiency, total cost, and ecological function of steam power cycle are treated as the 3E objective in the analysis. Simultaneous optimization of this performance parameter is executed through a heat transfer search algorithm. Fifteen operating variables of the steam power cycle, which includes different pressure, temperature, and isentropic efficiency are

show abstract

Multi-objective linear regression based optimization of full repowering a single pressure steam power plant

Cited by 15 publications

References 26 publications

Multiobjective optimization of heat recovery steam generator in a combined cycle power using genetic algorithm

Multiobjective optimization of heat recovery steam generator in a combined cycle power using genetic algorithm

Exergetic, economic, and environmental analyses of combined cooling and power plants with parabolic solar collector

Energy, economy, and ecological (3E)‐based performance evaluation of a steam cycle power plant through optimization investigation

Contact Info

Product

Resources

About