Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined …
Operations optimization in an organic Rankine cycle (ORC) based combined system is
important while computationally difficult by using mechanistic models due to complex …
important while computationally difficult by using mechanistic models due to complex …
A high-accuracy online transient simulation framework of natural gas pipeline network by integrating physics-based and data-driven methods
X Yin, K Wen, W Huang, Y Luo, Y Ding, J Gong, J Gao… - Applied Energy, 2023 - Elsevier
The natural gas pipeline network is an important part of the integrated energy system. The
optimal control of the integrated energy system requires accurate transient online simulation …
optimal control of the integrated energy system requires accurate transient online simulation …
Accelerating operation optimization of complex chemical processes: A novel framework integrating artificial neural network and mixed-integer linear programming
We present an automated framework that integrates rectified linear unit activated artificial
neural network (ReLU-ANN) and mixed-integer linear programming (MILP) to enable …
neural network (ReLU-ANN) and mixed-integer linear programming (MILP) to enable …
[HTML][HTML] Multi-objective simulation–optimization via kriging surrogate models applied to natural gas liquefaction process design
A surrogate-based multi-objective optimization framework is employed in the design of
natural gas liquefaction processes using reliable, black-box process simulation. The …
natural gas liquefaction processes using reliable, black-box process simulation. The …
Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies
Process modeling has become a fundamental tool to guide experimental work.
Unfortunately, process models based on first principles can be expensive to develop and …
Unfortunately, process models based on first principles can be expensive to develop and …
Energy and economic comparison of five mixed-refrigerant natural gas liquefaction processes
MAM Pereira, LF Santos, JA Caballero… - Energy Conversion and …, 2022 - Elsevier
The demand for liquified natural gas grows as it is an energy resource that has more flexible
means of transport than non-liquefied natural gas, and is more eco-friendly than other fossil …
means of transport than non-liquefied natural gas, and is more eco-friendly than other fossil …
[HTML][HTML] Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression
Modular chemical process simulators are widespread in chemical industries to design and
optimize production processes with sufficient accuracy. However, convergence issues and …
optimize production processes with sufficient accuracy. However, convergence issues and …
[HTML][HTML] Comparison of mixed refrigerant cycles for natural gas liquefaction: From single mixed refrigerant to mixed fluid cascade processes
Natural gas liquefaction plants have adopted mixed refrigerant (MR) cascade configurations
to improve energy efficiency and process irreversibility. The MR cascade processes consist …
to improve energy efficiency and process irreversibility. The MR cascade processes consist …
Mimo coded generalized reduced dimension fourier algorithm for 3-d microwave imaging
In this article, to accelerate data acquisition and image reconstruction procedures in a
multistatic short-range microwave imaging scenario, an orthogonal coding approach with …
multistatic short-range microwave imaging scenario, an orthogonal coding approach with …
Artificial intelligence-based surrogate modeling for computational cost-effective optimization of hydrogen liquefaction process
The chemical processes are inherently complex, and obtaining desired product quality and
high energy efficiency by optimizing the design variables is challenging. The progress in …
high energy efficiency by optimizing the design variables is challenging. The progress in …