Ann-based optimization of a parabolic trough solar thermal power plant

A highly unique, flexible ANN algorithm was presented to predict and optimize a parabolic trough solar thermal power plant using Thermic oil as HTF and integrated with TES and FBS. The results obtained using SAM software were used to train several ANN algorithms, such as LM,&
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Ann-based optimization of a parabolic trough solar thermal power plant

Potential assessment of a parabolic trough solar

In this study, an optimization of two parabolic trough solar thermal power plants integrated with thermal energy storage (TES), and fuel backup system (FBS) has been performed. The...

Estimation of the energy production of a parabolic trough solar thermal

The accurate estimation of a concentrated solar power plant production is an important issue because of the fluctuations in meteorological parameters like solar radiation,

ANN-based optimization of a parabolic trough solar thermal power plant

Therefore, the objective of this study is to investigate the feed-forward back-propagation learning algorithm with three different variants; Levenberge Marguardt (LM),

Performance optimization of the parabolic trough power plant

Concentrating solar power (CSP) technologies have demonstrated success producing energy in the global renewable and clean energy industry [1], [2] has made

Parabolic Trough Solar Thermal Electric Power Plants

Title: Parabolic Trough Solar Thermal Electric Power Plants. Concentrating Solar Power SnapShot (Fact Sheet). Author: H. Price Subject: Although many solar technologies

(PDF) Optimizing Thermal Performance in

The study examined absorbers'' thermal properties, thermal efficiency of combined thermal exchangers, concentration ratio, heat efficiency, and steam generation to determine their influence on...

A novel multi-objective Dynamic Programming optimization method

Groumpos et al. [33] applied DP technique to a PV power plant in order to determine in an optimal way the amount of energy to be supplied to each connected load in

Development and multi-criteria optimization of a solar thermal power

Atiz et al. [8] proposed a solar integrated system to generate electricity and hydrogen using a solar pool source of 217 m 2 and an evacuated tube solar collector (ETSC) with a total

ANN-based optimization of a parabolic trough solar thermal power plant

ANN-based optimization of a parabolic trough solar thermal power plant T.E. Boukelia*1, O. Arslan*2, M.S. Mecibah1 1 Laboratory of Mechanics, Mechanical Engineering Department,

Performance optimization of the parabolic trough power plant

Performance optimization of the parabolic trough power plant using a dual-stage ensemble algorithm and solar-assisted heat pumps, was provided by Elsheikh et al. [31].

Performance analysis of an improved 30 MW parabolic trough solar

As a mature and low-cost large-scale solar thermal power generation technology, parabolic trough solar thermal power generation technology is becoming increasingly

Potential assessment of a parabolic trough solar thermal power plant

Boukelia et al. [7] present an optimization of a parabolic trough solar thermal power plant based on a feed-forward back-propagation ANN model. Sozen and Arcaklioglu [8] have

Potential assessment of a parabolic trough solar thermal power plant

Highlights ANN model with LM variant in the modelling of two PTSTPPs was investigated. The first plant using thermic oil and the second based on salt technology. The two plants were

ANN-based optimization of a parabolic trough solar thermal power plant

Design and optimization of a solar power plant are very complex and require many calculations, data and time. From this point of view, artificial neural network (ANN) models are desired

Potential assessment of a parabolic trough solar thermal power plant

DOI: 10.1016/J.RENENE.2016.12.081 Corpus ID: 114655944; Potential assessment of a parabolic trough solar thermal power plant considering hourly analysis: ANN

Estimation of the energy production of a parabolic trough solar thermal

In this work, three models were conducted in order to estimate the hourly electric production of a parabolic trough solar thermal power plant (PTSTPP) located at Ain Beni

ANN-based optimization of a parabolic trough solar thermal

Article "ANN-based optimization of a parabolic trough solar thermal power plant" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and

Parabolic trough solar thermal power plant Noor I in Morocco

The principle objective of this work is to comprehensively overview the Moroccan parabolic trough solar thermal power plant Noor 1 as one of the leading solar plants in Africa

Optimization of concentrating solar thermal power plant based

Solar multiple optimization for a solar-only thermal power plant, using oil as heat transfer fluid in the parabolic trough collectors Sol. Energy, 83 ( 2009 ), pp. 2165 - 2176 View

ANALYSIS OF SOLAR THERMAL POWER PLANTS WITH

Keywords: solar thermal power plant, solar-hybrid power plant, solar tower plant, parabolic trough. 1. Introduction Solar thermal power plants can guarantee supply security by

Energy production estimation of a parabolic trough solar power plant

The aim of the present study is the use of Artificial Neural Networks (ANN) modeling to estimate the hourly based electric energy generation of a Parabolic Trou

Thermal energy storage systems for concentrated solar power

Solar thermal energy, especially concentrated solar power (CSP), represents an increasingly attractive renewable energy source.However, one of the key factors that

Optimization of parabolic trough solar power plant

Due to the unlimited solar energy and good modularity and versatility of the parabolic trough collector (PTC), the parabolic trough concentrating solar power technology

ANN-based optimization of a parabolic trough solar thermal power plant

Therefore, the objective of this study is to investigate the feed-forward back-propagation learning algorithm with three different variants; Levenberge Marguardt (LM), Scaled Conjugate

Potential assessment of a parabolic trough solar thermal power plant

Downloadable (with restrictions)! One of the major challenges of developing and growing of parabolic trough solar thermal power plants (PTSTPPs) is enhancing the techno-economic

Optimization of concentrating solar thermal power plant based

Concentrating solar power (CSP) plant with parabolic trough collector (PTC) using synthetic or organic oil based heat transfer fluid is the most established and commercially

Potential assessment of a parabolic trough solar thermal power plant

Even the ANN model has been applied to predict and optimize different energy systems, this is the first attempt to explore the potential of ANN to predict and minimize the

Ann-based optimization of a parabolic trough solar thermal power plant

6 FAQs about [Ann-based optimization of a parabolic trough solar thermal power plant]

Can Ann algorithms predict a parabolic trough solar thermal power plant?

A highly unique, flexible ANN algorithm was presented to predict and optimize a parabolic trough solar thermal power plant using Thermic oil as HTF and integrated with TES and FBS. The results obtained using SAM software were used to train several ANN algorithms, such as LM, SCG, and CGP.

Can a parabolic trough solar thermal power plant predict energy production?

In this paper, both types of models have been investigated in the particular context of a parabolic trough solar thermal power plant. The models aim to predict the electric energy production at the output of the electric generator and, more especially, the hourly energy production of the power plant.

What is parabolic trough solar thermal power plant (ptstpp)?

While solar energy can play a key role to solve these issues, parabolic trough solar thermal power plant (PTSTPP) is considered as one of the most proven concentrating solar power technologies for power generation .

How are parabolic trough power plants optimized?

A recent literature review shows that most studies on the optimization of parabolic trough power plants are based on physical or analytical models, including steady-state and dynamic models, while machine learning models such as artificial neural networks (ANN) models are rarely used.

Can ANN model be used to estimate ptstpp energy production in Morocco?

Since Morocco is planning to implement further solar power plants with parabolic trough technology. The suggested ANN model could be used to estimate energy production of similar PTSTPP design as in ABM for other locations in Morocco. The analytical models proposed in this paper lead to similar but lower accuracy levels than the ANN model.

What are the analytical models of a parabolic trough collector?

The first analytical model (AM I) is based on calculating the heat losses of parabolic trough collectors (PTCs), while the second analytical model (AM II) is based on the thermal efficiency of PTCs. The third model is an artificial neural networks (ANN) model derived from artificial intelligence techniques.

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