[HTML][HTML] Multi-objective optimization of medium-enthalpy geothermal Organic Rankine Cycle plants
Geothermal energy is a renewable energy source that can contribute to a decarbonized
European energy mix. Geothermal Organic Rankine Cycle (ORC) units can produce power …
European energy mix. Geothermal Organic Rankine Cycle (ORC) units can produce power …
Pre-combustion CO2 capture using amine-based absorption process for blue H2 production from steam methane reformer
A novel pre-combustion CO 2 capture process using methyl diethanolamine with piperazine
(MDEA/PZ) was investigated for the production of blue H 2 from a steam methane reformer …
(MDEA/PZ) was investigated for the production of blue H 2 from a steam methane reformer …
An efficient multilayer adaptive self-organizing modeling methodology for improving the generalization ability of organic Rankine cycle (ORC) data-driven model
X Ping, F Yang, H Zhang, C Xing, A Yang… - … Applications of Artificial …, 2023 - Elsevier
The efficient and accurate model construction of an organic Rankine cycle (ORC) system is
the key to its analysis, prediction, and optimization. As a typical multidisturbance nonlinear …
the key to its analysis, prediction, and optimization. As a typical multidisturbance nonlinear …
Clean and sustainable power/fresh water/hot air production scheme based on solid oxide fuel cell feed by apricot stone biomass: A multi-attribute optimization
Z Fei, SU Zhanguo, NB Kumar, PK Singh… - Process Safety and …, 2023 - Elsevier
Developing novel and low-emission multi-generation systems is attracting considerable
critical attention. In this regard, a novel tri-generation of power, fresh water and hot air has …
critical attention. In this regard, a novel tri-generation of power, fresh water and hot air has …
Multi-objective optimization of methanol production for energy efficiency and environmental sustainability
In this study, a syngas-to-methanol synthesis plant is modeled using Aspen Plus and
optimized using MATLAB-NSGA-II algorithm to simultaneously minimize total annual gas …
optimized using MATLAB-NSGA-II algorithm to simultaneously minimize total annual gas …
Techno-economic analysis of cascaded supercritical carbon dioxide combined cycles for exhaust heat recovery of typical gas turbines
Y Cao, J Zhan, Q Cao, F Si - Energy Conversion and Management, 2022 - Elsevier
Gas turbine combined cycle is widely used to achieve power balance in grids with uncertain
renewable energy sources. To further enhance the rapid load-change capability of …
renewable energy sources. To further enhance the rapid load-change capability of …
Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment
Efficient capture and global optimization of organic Rankine cycle (ORC) operating features
in road environment is the key to obtain actual waste heat recovery potential. The complexity …
in road environment is the key to obtain actual waste heat recovery potential. The complexity …
Operation characteristics and performance prediction of a 3 kW organic Rankine cycle (ORC) with automatic control system based on machine learning methodology
YQ Feng, Q Zhang, KJ Xu, CM Wang, ZX He, TC Hung - Energy, 2023 - Elsevier
Automatic control system enables the laboratory organic Rankine cycle (ORC) to adapt to
variable operating conditions of industrial application. In this study, the operation …
variable operating conditions of industrial application. In this study, the operation …
A novel and efficient cogeneration system of waste heat recovery integrated carbon capture and dehumidification for coal-fired power plants
Z Su, L Yang - Energy Conversion and Management, 2022 - Elsevier
Presently, coal-fired power plants are facing the situation of low energy utilization and high
pollution emission, to achieve the goal of energy conservation and emission reduction, the …
pollution emission, to achieve the goal of energy conservation and emission reduction, the …
Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems
L Sun, T Liu, D Wang, C Huang, Y Xie - Applied Energy, 2022 - Elsevier
Considering the increasing energy consumption and greenhouse gas emissions, the
Supercritical CO 2 (S-CO 2) power system has attracted more and more attention. Due to the …
Supercritical CO 2 (S-CO 2) power system has attracted more and more attention. Due to the …