Optimization of geothermal power plant design for evolving operating conditions

Pollet, Mathieu; Gosselin, Louis; Dallaire, Jonathan; Mathieu-Potvin, François

doi:10.1016/j.applthermaleng.2018.01.030

Cited by 18 publications

(9 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They showed that the electrical production of the system could be increased by using a novel system to release condenser heat. Similar research was done for transient conditions [16].…”

Section: Introductionmentioning

confidence: 62%

Thermodynamic Optimization of a Geothermal Power Plant with a Genetic Algorithm in Two Stages

et al. 2020

View full text Add to dashboard Cite

Due to the harmful effects and depletion of non-renewable energy resources, the major concerns are focused on using renewable energy resources. Among them, the geothermal energy has a high potential in volcano regions such as the Middle East. The optimization of an organic Rankine cycle with a geothermal heat source is investigated based on a genetic algorithm having two stages. In the first stage, the optimal variables are the depth of the well and the extraction flow rate of the geothermal fluid mass. The optimal value of the depth of the well, extraction mass flow rate, and the geothermal fluid temperature is found to be 2100 m, 15 kg/s, and 150 °C. In the second stage, the efficiency and output power of the power plant are optimized. To achieve maximum output power as well as cycle efficiency, the optimization variable is the maximum organic fluid pressure in the high-temperature heat exchanger. The optimum values of energy efficiency and cycle power production are equal to 0.433 MW and 14.1%, respectively.

show abstract

“…They showed that the electrical production of the system could be increased by using a novel system to release condenser heat. Similar research was done for transient conditions [16].…”

Section: Introductionmentioning

confidence: 62%

Thermodynamic Optimization of a Geothermal Power Plant with a Genetic Algorithm in Two Stages

et al. 2020

View full text Add to dashboard Cite

show abstract

“…These algorithms have been used in multiple ORC engine studies in the literature such as those studies presented in Refs. [14,54,55]. In particular, Ref.…”

Section: Optimisation Formulationmentioning

confidence: 99%

“…In particular, Ref. [54] compared the results of the fmincon algorithm to known optimal solutions for ORC engines in geothermal applications, and reported that this procedure was capable of identifying the optimal designs. The reader can refer to Ref.…”

Section: Optimisation Formulationmentioning

confidence: 99%

Off-design optimisation of organic Rankine cycle (ORC) engines with different heat exchangers and volumetric expanders in waste heat recovery applications

et al. 2019

View full text Add to dashboard Cite

Organic Rankine cycle (ORC) engines in real applications experience variable heat-source conditions. In this paper, the off-design performance of small/medium-scale ORC engines recovering heat from a stationary internal combustion engine (ICE) is investigated. Of interest are the employment of screw vs. piston expanders, and two heat exchanger (HEX) architectures. Unlike previous studies where the expander and HEX performance are assumed fixed during offdesign operation, we consider explicitly their varying and interacting characteristics within the overall system. Nominal sizing results reveal indicated isentropic efficiencies >80% for twin-screw and >85% for piston expanders. Following nominal design, ORC engine operation is optimised for ICE part-load (PL) operation. Although the heat transfer coefficients in the evaporator decrease by 30% at PL, the effectiveness increases by 20% due to the larger temperature differences in this component. The screw expander efficiency reduces by up to 3% at off-design operation, whilst that of the piston expander increases by up to 16%. Optimised off-design maps indicate that the ORC engine power output reduces to 77% (piston) or 68% (screw) of full-load when the ICE operates at 60% PL, and that ORC engines with plate HEXs generate 5-11% more power than those with double-pipe HEXs. Under variable ICE operation, smaller ORC engines with piston expanders generate more power than larger engines with screw expanders, highlighting the resilient off-design operation of piston machines. The tool can predict ORC performance over a wide operating envelope and provides performance maps that can be used by operators to optimise ORC engine operation in variable conditions and by ORC vendors to inform component design decisions.

show abstract

“…These are single objective function [18] and multi objective function [19], [14] studies. In single objective function studies, mathematical functions such as the total quantity of energy generated throughout the life of the system [20] or rate of the heat exchanger to the total surface area output power [18] are used. These formulations are created and developed based on the laws of thermodynamics, and optimization results are assessed with regards to costs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Review on Usage of Optimization Methods in Geothermal Power Generation

Özkaraca

2018

Mugla Journal of Science and Technology

View full text Add to dashboard Cite

In the study, a general assessment has been carried out on the optimization studies in geothermal power energy systems. In consideration of such assessments, an optimization guide has been proposed that can be helpful for researchers when used in optimization studies. This guide summarizes the processes in optimization process, points that needs to be paid attention in such processes, and some suggestions of example methods. Upon assessment of optimization studies on geothermal power systems, it is seen that meta-heuristic algorithms, which are high strategies for research of searching space especially through different methods, are highly successful. However, it has been concluded that studies have been carried out not on real-time optimization practices, but rather on the model in general.

show abstract

Optimization of geothermal power plant design for evolving operating conditions

Cited by 18 publications

References 34 publications

Thermodynamic Optimization of a Geothermal Power Plant with a Genetic Algorithm in Two Stages

Thermodynamic Optimization of a Geothermal Power Plant with a Genetic Algorithm in Two Stages

Off-design optimisation of organic Rankine cycle (ORC) engines with different heat exchangers and volumetric expanders in waste heat recovery applications

A Review on Usage of Optimization Methods in Geothermal Power Generation

Contact Info

Product

Resources

About