Introduced in 1993, the DIRECT global optimization algorithm provided a fresh approach to
minimizing a black-box function subject to lower and upper bounds on the variables. In …

Liquefied natural gas (LNG) has been the fastest increasing fossil fuel in the world energy
market due to its low carbon dioxide emission, high energy density, and ease of transport …

An innovative valorization process for biomass waste treatment has been developed in this
study. The basic simulation process developed considering experimental studies, and it has …

This paper provides a quantitative technical and economic overview of the status of natural-
gas liquefaction (LNG) processes. Data is based on industrial practices in technical reports …

Globally, liquefied natural gas (LNG) has drawn interest as a green energy source in
comparison with other fossil fuels, mainly because of its ease of transport and low carbon …

The escalating global energy demand has prompted increased focus on the industry of
liquefied natural gas (LNG), emphasizing the need for optimizing liquefaction processes to …

This paper introduces an innovative extension of the DIRECT algorithm specifically
designed to solve global optimization problems that involve Lipschitz continuous functions …

Optimization using data from complex simulations has become an attractive decision-
making option, due to ability to embed high-fidelity, non-linear understanding of processes …

The presence of propane inventory in offshore liquefaction processes increases the
concerns for platform safety. To address this, we propose a novel liquefaction process that …

Deep reinforcement learning approach is considered for the design and optimization of SMR
(Single Mixed Refrigerant) cycles with which the refrigeration power is minimized. Deep Q …