A new strategy for the identification of the optimal operating points in PV applications with Distributed MPPT

2013 ◽  
Author(s):  
M. Balato ◽  
M. Vitelli
Keyword(s):  
Optimal Operating ◽  
New Strategy ◽  
Operating Points

scholarly journals Predicting optimal operating points by modelling different flotation mechanisms

2019 ◽  
Vol 52 (14) ◽  
pp. 60-65
Author(s):  
Daniël J. Oosthuizen ◽  
Ian K. Craig
Keyword(s):  
Optimal Operating ◽  
Operating Points

Design of PSO Based PI Controller for Wind Turbine Systems

2013 ◽  
Vol 483 ◽  
pp. 529-532
Author(s):  
Jau Woei Perng ◽  
Guan Yan Chen ◽  
Der Min Tsay ◽  
Jao Hwa Kuang ◽  
Bor Jeng Lin ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Operating Parameter ◽  
Pso Algorithm ◽  
Turbine Generator ◽  
Optimal Operating ◽  
Wind Turbine Generator ◽  
Artificial Learning ◽  
Control Stability ◽  
The Stability ◽  
Operating Points

This paper implements a strategy to obtain the proportional-integral (PI) optimal operating point and find the description of the stability regions in the parameters space. In order to do this, the particle swarm optimization (PSO) algorithm has been used in this study. The intelligent algorithm which is artificial learning mechanism could find optimal operating points and generates the function of the best operating parameter in the PI control stability region. Then the graphical method can provide boundaries of the PI type controller space for close-loop wind turbine generator (WTG) systems. The proposed techniques are presented by using simulation results to the WTG model.

Optimal operating points of PEM fuel cell model with RSM

2009 ◽  
Vol 23 (3) ◽  
pp. 717-728 ◽  
Author(s):  
Dongji Xuan ◽  
Zhenzhe Li ◽  
Jinwan Kim ◽  
Youngbae Kim
Keyword(s):  
Fuel Cell ◽  
Cell Model ◽  
Pem Fuel Cell ◽  
Optimal Operating ◽  
Operating Points

Load Capacity and Thermal Efficiency Optimization of a Research Data Center Using Computational Modeling

2015 ◽  
Author(s):  
Joseph R. H. Schaadt ◽  
Kamran Fouladi ◽  
Aaron P. Wemhoff ◽  
Joseph G. Pigeon
Keyword(s):  
Flow Rate ◽  
Data Center ◽  
Air Conditioning ◽  
Data Centers ◽  
Load Capacity ◽  
Research Data ◽  
Optimal Operating ◽  
Cold Aisle Containment ◽  
Operating Points ◽  
The Ideal

Data centers are most commonly cooled by air delivered to electronic equipment from centralized cooling systems. The research presented here is motivated by the need for strategies to improve and optimize the load capacity and thermal efficiency of data centers by using computational fluid dynamics (CFD). Here, CFD is used to model and optimize the Villanova Steel Orca Research Center (VSORC). VSORC, presently in the design stages, will provide a testing environment as well as the capability to investigate best practices and state of the art strategies including hybrid cooling, IT load distribution, density zones, and hot aisle and cold aisle containment. The results of this study will be used in the overall design and construction of the aforementioned research data center. The objective of this study is to find the optimal operating points and design layout of a data center while still meeting certain design constraints. A focus is on finding both the ideal total supply flow rate of the air conditioning units and the ideal chilled water supply temperature (CHWST) setpoint under different data center design configurations and load capacities. The total supply flow rate of the air conditioning units and the supply temperature setpoint of the chilled water system are varied as design parameters in order to systematically determine the optimal operating points. The study also examines the influence of hot aisle and cold aisle containment strategies in full containment, half containment, and no containment configurations on the determined optimal operating conditions for the modeled research data center.

Identifying Optimal Operating Points in Terms of Engineering Constraints and Regulated Emissions in Modern Diesel Engines

2011 ◽  
Author(s):  
Andrew Smallbone ◽  
Amit Bhave ◽  
Aaron R. Coble ◽  
Sebastian Mosbach ◽  
Markus Kraft ◽  
...  
Keyword(s):  
Diesel Engines ◽  
Optimal Operating ◽  
Operating Points ◽  
Engineering Constraints

An algorithm for the fast estimate of the maximum power voltages in PV applications adopting microconverters

2015 ◽  
Vol 34 (1) ◽  
pp. 110-131 ◽  
Author(s):  
Marco Balato ◽  
Massimo Vitelli
Keyword(s):  
Maximum Power ◽  
Energetic Efficiency ◽  
Optimal Operating ◽  
Content Type ◽  
Fast Identification ◽  
Point Tracking ◽  
Approximate Form ◽  
Pv Modules ◽  
Power Point ◽  
Operating Points

Purpose – The purpose of this paper is to discuss the main parameters influencing the performances of Distributed Maximum Power Point Tracking (DMPPT) and to present an algorithm aimed at the maximization of the energetic efficiency of the grid-connected PhotoVoltaic (PV) systems. Such an algorithm is based on the estimate of the optimal operating range of the input inverter voltage and of the optimal operating voltages of the PV modules. Design/methodology/approach – The Fast Estimate of the Maximum Power Voltages algorithm, described in this paper, is based on the idea that the controllers of the DC/DC converters (DMPPT function) and the controller of the inverter (Central MPPT function) must be able to exchange useful data in order to carry out a suitable technique based on the jointed adoption of DMPPT and CMPPT function. Such a technique is essentially based on the knowledge, even if in approximate form, of the Power vs Voltage (P-V) characteristic of a string composed by PV modules and DC/DC converters and on the consequent fast identification of a set of operating points for the inverter and for the PV modules. Findings – The main advantage of the proposed algorithm is represented by the fast identification of a set of operating points for the inverter and for the PV modules, which allows to obtain a marked increase of the speed of tracking both of the inverter and of the DC/DC converters performing the DMPPT function. Originality/value – The simulation results, shown in this paper, confirm the validity of the proposed original approach.

scholarly journals Exergetic Performance Investigation of Varying Flashing From Single to Quadruple for Geothermal Power Plants

2019 ◽  
Vol 141 (12) ◽  
Author(s):  
Osamah Siddiqui ◽  
Ibrahim Dincer
Keyword(s):  
Energy Efficiency ◽  
Energy Production ◽  
Power Plants ◽  
Clean Energy ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Optimal Operating ◽  
Geothermal Power ◽  
Power Outputs ◽  
Operating Points

Geothermal power plants are considered important renewable energy resources for clean energy production. Flash steam type plants constitute a significant portion of worldwide geothermal power. In this study, single, double, triple, and quadruple flash steam geothermal power plants are investigated with reinjection options. The optimal operating points are determined specifically through optimal flashing pressures. The turbine power outputs, energy efficiencies, and exergy efficiencies are further studied. A rise in the flashing stages from single to double is found to increase the power outputs considerably. However, when the flashing stages are increased from double to triple and triple to quadruple, the increase in turbine power outputs is found to drop significantly. Also, both exergy efficiency and energy efficiency are found to reduce with increasing number of flash stages. The energy efficiencies are obtained as 28%, 25.5%, 24.2%, and 23.5% for single, double, triple, and quadruple plants, respectively. Furthermore, the exergy efficiencies are found to be 72.6%, 70.9%, 70.2%, and 69.8% for these plants, respectively.

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