Non-Squared Decouple PID Control of Ultra-Compact Binary Power Generation Plant Using Low Temperature Difference Thermal Energy

2017 ◽  
Vol 137 (10) ◽  
pp. 1340-1352
Author(s):  
Kun-Young Han ◽  
Mamoru Arita ◽  
Yasuyuki Ikegami ◽  
Hee-Hyol Lee
Keyword(s):  
Power Generation ◽  
Low Temperature ◽  
Thermal Energy ◽  
Temperature Difference ◽  
Pid Control ◽  
Compact Binary ◽  
Generation Plant ◽  
Power Generation Plant

Evaluation of Thermal Energy Storage (TES) Systems on Thermo-Economic Characteristics of PTSC Solar-Based Power Generation Plants

2018 ◽  
Author(s):  
Adnan Alashkar ◽  
Mohamed Gadalla
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Storage Period ◽  
Energy Output ◽  
Levelized Cost Of Electricity ◽  
Generation Plant ◽  
Storage Volume ◽  
Power Generation Plant

In this study, the effect of adding a Thermal Energy Storage (TES) system on the performance and financial parametric of a solar-based power generation plant is investigated. The effect of the storage period of the TES on the annual energy output, storage volume, net savings, and Levelized Cost of Electricity (LEC) of the plant is studied. The analysis is done for two different Heat Transfer Fluids (HTF) (Therminol VP-1, Hitec Solar Salt) inside the Parabolic Trough Solar Collector (PTSC), and for different storage fluids (Molten Salts, Oils) in an attempt to study its effect on the performance of the TES system and the solar-based power generation plant. In addition, a comparison between passive and active TES systems is conducted. Moreover, a complete thermo-economic analysis based on the Typical Meteorological Year (TMY) values of the city of Abu Dhabi is provided with regards to the operation of the plant with and without a TES system. Further, a study is conducted to investigate the effect of reducing the storage volume of the TES by utilizing parallel TES tanks arrangement. The simulation results suggest that direct-active TES systems are the most efficient. For instance, when Therminol VP-1 is used as an HTF and a storage fluid, the annual energy increased by 77% and reduced LEC from 6.03 c/kWh to 4.09 c/kWh. In addition, the use of parallel arrangement TES tanks increased the net saving of the system from $ 4,757,483 to $ 4,891,279.

Analysis of performance with variable stroke of a torque based renewable micro hydro power generation plant

2016 ◽  
Author(s):  
Muhammad Mahbubul Alam ◽  
Md. Shad Rahman ◽  
Rasel A. Sultan ◽  
M. Ahmed Naif
Keyword(s):  
Power Generation ◽  
Hydro Power ◽  
Generation Plant ◽  
Power Generation Plant ◽  
Analysis Of Performance

Simulated performance analysis of a solar aided power generation plant in fuel saving operation mode

Energy ◽  
2019 ◽  
Vol 166 ◽  
pp. 918-928 ◽  
Author(s):  
Nan Zhang ◽  
Hongjuan Hou ◽  
Gang Yu ◽  
Eric Hu ◽  
Liqiang Duan ◽  
...  
Keyword(s):  
Power Generation ◽  
Performance Analysis ◽  
Operation Mode ◽  
Fuel Saving ◽  
Simulated Performance ◽  
Generation Plant ◽  
Power Generation Plant

scholarly journals Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant

Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 70 ◽  
Author(s):  
Fares M’zoughi ◽  
Izaskun Garrido ◽  
Soufiene Bouallègue ◽  
Mounir Ayadi ◽  
Aitor J. Garrido
Keyword(s):  
Power Generation ◽  
Intelligent Control ◽  
Irregular Waves ◽  
Superior Performance ◽  
Wave Power ◽  
Wells Turbine ◽  
Control Engineering ◽  
Generation Plant ◽  
Power Generation Plant ◽  
Intelligent Pid

Control engineering in renewable energy systems is a delicate and tedious task, especially due to the unpredictable nature of the renewable resources, which requires precision and robustness. These requirements can be ensured using intelligent control, which provides better performance than many conventional techniques and methods. This paper focuses on the modeling and the intelligent control of the NEREIDA wave power plant of Mutriku in Spain. In this context, the design of two novel intelligent airflow controls for a stalling-free operation of the Wells turbine-based power take-off system is presented and compared. The airflow control will ensure the avoidance of the stalling behavior using an intelligent PID controller. The first control design methodology is based on the metaheuristic algorithms to ensure the optimization of the controller gains. The second methodology is based on the fuzzy gain scheduling of the gains. Two study cases were performed to compare the optimized-PID and FGS-PID to a conventional PID in two wave conditions. The results show the superior performance of both proposed controls over the conventional PID, providing power generation improvement in regular and irregular waves.

scholarly journals Dynamic Simulation of System Performance Change by PID Automatic Control of Ocean Thermal Energy Conversion

2020 ◽  
Vol 8 (1) ◽  
pp. 59 ◽  
Author(s):  
Lim Seungtaek ◽  
Lee Hoseang ◽  
Kim Hyeonju
Keyword(s):  
Control System ◽  
Energy Conversion ◽  
Thermal Energy ◽  
Temperature Difference ◽  
Pid Control ◽  
Seawater Temperature ◽  
Ocean Thermal Energy Conversion ◽  
Control Value ◽  
Thermal Energy Conversion ◽  
Ocean Thermal Energy

Near infinite seawater thermal energy, which is considered as an alternative to energy shortage, is expected to be available to 98 countries around the world. Currently, a demonstration plant is being built using closed MW class ocean thermal energy conversion (OTEC). In order to stabilize the operation of the OTEC, automation through a PID control is required. To construct the control system, the control logic is constructed, the algorithm is selected, and each control value is derived. In this paper, we established an optimal control system of a closed OTEC, which is to be demonstrated in Kiribati through simulation, to compare the operating characteristics and to build a system that maintains a superheat of 1 °C or more according to seawater temperature changes. The conditions applied to the simulation were the surface seawater temperature of 31 °C and the deep seawater temperature of 5.5 °C, and the changes of turbine output, flow rate, required power, and evaporation pressure of the refrigerant pump were compared as the temperature difference gradually decreased. As a result of comparing the RPM control according to the selected PID control value, it was confirmed that an error rate of 0.01% was shown in the temperature difference condition of 21.5 °C. In addition, the average superheat degree decreased as the temperature difference decreased, and after about 6000 s and a temperature decrease to 24 °C or less, the average superheat degree was maintained while maintaining the superheat degree of 1.7 °C on average.

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