Multi-objective optimization of two double-flash geothermal power plants integrated with absorption heat transformation and water desalination

2018 ◽  
Vol 195 ◽  
pp. 796-809 ◽  
Author(s):  
S. Salehi ◽  
S. Mohammad S. Mahmoudi ◽  
M. Yari ◽  
M.A. Rosen
Keyword(s):  
Power Plants ◽  
Water Desalination ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Geothermal Power ◽  
Heat Transformation ◽  
Double Flash

scholarly journals Performance enhancement and multi-objective optimization of a double-flash binary geothermal power plant

Energy Nexus ◽  
2021 ◽  
pp. 100012
Author(s):  
Towhid Parikhani ◽  
Mostafa Delpisheh ◽  
Maghsoud Abdollahi Haghghi ◽  
Shahriyar Ghazanfari Holagh ◽  
Hassan Athari
Keyword(s):  
Power Plant ◽  
Performance Enhancement ◽  
Multi Objective Optimization ◽  
Geothermal Power Plant ◽  
Multi Objective ◽  
Binary Geothermal Power Plant ◽  
Geothermal Power ◽  
Double Flash

Multi-Objective Optimal Load Distribution Based on Sub Goals Multiplication and Division in Power Plants

2014 ◽  
Vol 494-495 ◽  
pp. 1715-1718
Author(s):  
Gui Li Yuan ◽  
Tong Yu ◽  
Juan Du
Keyword(s):  
Genetic Algorithm ◽  
Load Distribution ◽  
Power Plants ◽  
Optimization Problem ◽  
Thermal Power ◽  
Local Optimum ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimal Load ◽  
Optimal Load Distribution

The classic multi-objective optimization method of sub goals multiplication and division theory is applied to solve optimal load distribution problem in thermal power plants. A multi-objective optimization model is built which comprehensively reflects the economy, environmental protection and speediness. The proposed model effectively avoids the target normalization and weights determination existing in the process of changing the multi-objective optimization problem into a single objective optimization problem. Since genetic algorithm (GA) has the drawback of falling into local optimum, adaptive immune vaccines algorithm (AIVA) is applied to optimize the constructed model and the results are compared with that optimized by genetic algorithm. Simulation shows this method can complete multi-objective optimal load distribution quickly and efficiently.

Thermodynamic simulation and mathematical model for single and double flash cycles of Cerro Prieto geothermal power plants

Geothermics ◽  
2020 ◽  
Vol 83 ◽  
pp. 101713 ◽  
Author(s):  
Emilio Hernández Martínez ◽  
M.C. Patricia Avitia Carlos ◽  
José Isaac Cisneros Solís ◽  
M.C. María del Carmen Prieto Avalos
Keyword(s):  
Mathematical Model ◽  
Power Plants ◽  
Thermodynamic Simulation ◽  
Geothermal Power ◽  
Cerro Prieto ◽  
Double Flash

Performance Analysis and Optimization of Double-Flash Geothermal Power Plants

2006 ◽  
Vol 129 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Ahmet Dagdas
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Electricity Generation ◽  
Power Plants ◽  
Second Law ◽  
Western Turkey ◽  
Geothermal Power Plant ◽  
Base Points ◽  
Geothermal Power ◽  
Double Flash

One of the most important cycles for electricity generation from geothermal energy is the double-flash cycle. Approximately 25% of the total geothermal based electricity generation all over the world comes from double-flash geothermal power plants. In this paper, performance analysis of a hypothetical double-flash geothermal power plant is performed and variations of fundamental characteristics of the plant are examined. In the performance analysis, initially, optimum flashing pressures are determined, and energy and exergy values of the base points of the plant are calculated. In addition, first and second law efficiencies of the power plant are calculated. Main exergy destruction locations are determined and these losses are illustrated in an exergy flow diagram. For these purposes, it is assumed that a hypothetical double-flash geothermal power plant is constructed in the conditions of western Turkey. The geothermal field where the power plant will be built produces geofluid at a temperature of 210°C and a mass flow rate of 200kg∕s. According to simulation results, it is possible to produce 11,488kWe electrical power output in this field. Optimum first and second flashing pressures are determined to be 530kPa and 95kPa, respectively. Based on the exergy of the geothermal fluid at reservoir, overall first and second law efficiencies of the power plant are also calculated to be 6.88% and 28.55%, respectively.

An innovative double-flash binary cogeneration cooling and power (CCP) system: Thermodynamic evaluation and multi-objective optimization

Energy ◽  
2021 ◽  
Vol 214 ◽  
pp. 118864
Author(s):  
Yan Cao ◽  
Leonardus WW. Mihardjo ◽  
Mahidzal Dahari ◽  
Hadi Ghaebi ◽  
Towhid Parikhani ◽  
...  
Keyword(s):  
Thermodynamic Evaluation ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Double Flash

Optimum Flashing Pressure in Single and Double Flash Geothermal Power Plants

2008 ◽  
Author(s):  
Shahin Amiri ◽  
Hossein Shokouhmand ◽  
Ahmad Kahrobaian ◽  
Shayan Amiri
Keyword(s):  
Power Plant ◽  
Thermal Efficiency ◽  
Power Plants ◽  
Analytical Investigation ◽  
Exergy Efficiency ◽  
Maximum Efficiency ◽  
Single Flash ◽  
Geothermal Power ◽  
Double Flash

In this paper an analytical investigation has been reported on determination of the optimum flashing pressures to get maximum efficiency in flash geothermal power plants. Also, two different views on efficiency have been considered; thermal efficiency and exergy efficiency. Both views anticipate very close optimum flashing pressure and in this pressure, exergy efficiency is between 3 to 5.5 times more than thermal efficiency. It is observed that the optimum flashing pressure in a single flash power plant is between the optimum flashing pressures of two separators in a double flash power plant. Also both views predict an increase of 20–29 percent for the efficiency of double flash power plants than the efficiency of single flash power plants.

Robust Design Optimization of a Steam Turbine Labyrinth Seal Based on Surrogate Models

2018 ◽  
Author(s):  
Kevin Cremanns ◽  
Dirk Roos ◽  
Simon Hecker ◽  
Andreas Penkner ◽  
Christian Musch
Keyword(s):  
Power Plants ◽  
Fluid Dynamic ◽  
Labyrinth Seal ◽  
Surrogate Models ◽  
Robust Design Optimization ◽  
Optimized Design ◽  
Multi Objective Optimization ◽  
Total Enthalpy ◽  
Multi Objective ◽  
Conflicting Objectives

This work presents a robust multi-objective optimization of a labyrinth seal used in power plants steam turbines. The conflicting objectives of this optimization are to minimize the mass flow and to minimize the total enthalpy increase in order to increase the performance and to reduce the temperature, which results in elevated component utilization. The focus should be the robustness aspect to be involved into the optimization. So that the final design is not only optimized for its deterministic values but also robust under its uncertainties. To achieve a robust and optimized design, surrogate models are trained and used to replace the computational fluid dynamic solver (CFD), so as to speed up the calculations. In contrast to most techniques used in literature, the robustness criteria are directly involved in the multi-objective optimization. This leads to a more robust Pareto front compared to a purely deterministic one. This method needs many design evaluations, which would be not effective, if a CFD solver were used.

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