Multi-objective optimization methods and application in energy saving

Y Cui, Z Geng, Q Zhu, Y Han - Energy, 2017 - Elsevier
Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …

Thermochemical water-splitting structures for hydrogen production: Thermodynamic, economic, and environmental impacts

B Ghorbani, S Zendehboudi, Y Zhang, H Zarrin… - Energy Conversion and …, 2023 - Elsevier
Thermochemical water-splitting (TWS) processes are regarded as one of the most
environmentally friendly strategies, capable of harnessing high-temperature waste heat from …

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 …

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 …

Exergoeconomic analysis and multi objective optimization of performance of a Carbon dioxide power cycle driven by geothermal energy with liquefied natural gas as …

MH Ahmadi, M Mehrpooya, F Pourfayaz - Energy Conversion and …, 2016 - Elsevier
In this study a transcritical Carbon dioxide power cycle has been coupled to a liquefied
natural gas to work either as the cold source and to further enhance to generate electricity …

Applying GMDH artificial neural network in modeling CO2 emissions in four nordic countries

MH Rezaei, M Sadeghzadeh… - … Journal of Low …, 2018 - academic.oup.com
CO2 emission depends on several parameters. Due to environmental issues, it is necessary
to find influential factors on CO2 emission as one of the most critical greenhouse gases …

Thermodynamic analysis and multi objective optimization of performance of solar dish Stirling engine by the centrality of entransy and entropy generation

MH Ahmadi, MA Ahmadi, A Mellit, F Pourfayaz… - International Journal of …, 2016 - Elsevier
This paper makes attempts to perform multi-objective optimization on the solar-powered
Stirling engine with high temperature differential. A new model was proposed based on the …

Thermodynamic and exergy analysis and optimization of a transcritical CO2 power cycle driven by geothermal energy with liquefied natural gas as its heat sink

MH Ahmadi, M Mehrpooya, F Pourfayaz - Applied Thermal Engineering, 2016 - Elsevier
The main objective of this research is to study a transcritical CO 2 cycle via geothermal
resources to produce electrical energy. Heat sink of this cycle is Liquefied natural gas (LNG) …

[HTML][HTML] Power density analysis and multi-objective optimization for a modified endoreversible simple closed Brayton cycle with one isothermal heating process

C Tang, H Feng, L Chen, W Wang - Energy Reports, 2020 - Elsevier
By using finite time thermodynamics, a modified endoreversible simple closed Brayton cycle
with one isothermal heating process and variable isothermal pressure drop ratio is …

Thermodynamic evaluation and multi-objective optimization of molten carbonate fuel cell-supercritical CO2 Brayton cycle hybrid system

MA Jokar, MH Ahmadi, M Sharifpur, JP Meyer… - Energy Conversion and …, 2017 - Elsevier
Fuel cell-heat engine hybrid system is a relatively new discipline which proposes to utilize
the excess high-temperature heat of the fuel cell as the heat source for the heat engine. This …