Thermodynamic and economic analysis of performance evaluation of all the thermal power plants: A review

MH Ahmadi, M Alhuyi Nazari… - Energy science & …, 2019 - Wiley Online Library
Surging in energy demand makes it necessary to improve performance of plant equipment
and optimize operation of thermal power plants. Inasmuch as thermal power plants depend …

Design and optimization of Stirling engines using soft computing methods: a review

S Zare, AR Tavakolpour-Saleh, A Aghahosseini… - Applied Energy, 2021 - Elsevier
The need for energy converters with high thermal efficiency is a central issue in the field of
renewable energies. So far, different technologies have been introduced for converting …

Optimal economic dispatch of FC-CHP based heat and power micro-grids

M Nazari-Heris, S Abapour… - Applied Thermal …, 2017 - Elsevier
Micro-grids (MGs) are introduced as a solution for distributed energy resource (DER) units
and energy storage systems (ESSs) to participate in providing the required electricity …

Design, commissioning and operation of a large-scale solar linear Fresnel system integrated with evacuated compound receiver: Field testing, thermodynamic …

S Rehman, ME Zayed, K Irshad, AS Menesy, KM Kotb… - Solar Energy, 2024 - Elsevier
The advancement of solar linear Fresnel reflector (LFR) systems as a viable technology for
green heat and power generation has recently garnered significant attention from both …

Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils

A Baghban, M Kahani, MA Nazari, MH Ahmadi… - International Journal of …, 2019 - Elsevier
Nowadays, nanofluids are broadly utilized for various engineering and industrial systems
including heat exchangers, power plants, air-conditioning, etc. The helically coiled tube heat …

Smart modeling by using artificial intelligent techniques on thermal performance of flat‐plate solar collector using nanofluid

M Sadeghzadeh, MH Ahmadi, M Kahani… - Energy Science & …, 2019 - Wiley Online Library
In the current study, Multilayer Perceptron Artificial Neural Network (MLP‐ANN) mode,
Radial Basis Function Artificial Neural Network (RBF‐ANN), and Elman Back Propagation …

Predicting the performance of solar dish Stirling power plant using a hybrid random vector functional link/chimp optimization model

ME Zayed, J Zhao, W Li, AH Elsheikh, M Abd Elaziz… - Solar Energy, 2021 - Elsevier
Hybrid artificial intelligence models have become promising tools for soft computing and
computational intelligence, as they can deal with complicated sustainable systems such as …

Influence of artificial roughness parametric variation on thermal performance of solar thermal collector: An experimental study, response surface analysis and ANN …

R Kumar, R Nadda, S Kumar, A Razak… - Sustainable Energy …, 2022 - Elsevier
The influence of the attack angle (α a) of the perforated baffles on thermohydraulic
performance η p of a solar thermal collector (STC) has been investigated experimentally …

Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids

A Baghban, A Jalali, M Shafiee… - … of Computational Fluid …, 2019 - Taylor & Francis
Nanofluid viscosity is an important physical property in convective heat transfer phenomena.
However, the current theoretical models for nanofluid viscosity prediction are only applicable …

Automatic generation control of an interconnected two-area hybrid thermal system considering dish-stirling solar thermal and wind turbine system

A Rahman, LC Saikia, N Sinha - Renewable energy, 2017 - Elsevier
This article presents automatic generation control (AGC) of an interconnected two-area
hybrid thermal system with additional power generation from dish-Stirling solar thermal …