This paper implements a land use classification for the City of Calgary, Alberta, Canada, using an object-oriented approach for six Landsat TM and ETM+ images and simulates the land use pattern in the future using Markov Chain analysis and Cellular Automata analysis based on the interactions...

In the past decades, genetic algorithms (GA), particle swarm optimization (PSO) algorithms, and BOX algorithms have been used in natural gas liquefaction process optimization. Since all three methods can find a solution for a given objective function but adopt different strategies and...

The mixed refrigerant (MR) process is the preferred choice for most LNG plants. However, due to the complexity of refrigerant components and parameters, and their interaction, the MR process must be optimized to take full advantage of its efficiency. The optimization of processes has received...

A novel Rankine power cycle which uses a mixture of three hydrocarbons as working fluid is proposed to utilize the cold energy in LNG (liquefied natural gas). Process simulations and composition optimization of four schemes for the cycle are carried out. The results show that while the cycle is...