Quasi Steady State, Quasi Numerical Modeling of Saturated Steam-Water Spaces Using Normalized Steam and Water Properties for Efficient Computing

Simulators are extensively used as a tool for industrial training, design and development. The overall improvement in computational speed of simulator is very important and can be improved by redesigning the mathematical simulation models or by using faster computational platforms. Modern day simulators are using cloud computing platforms and other high performance computing systems. The complex algorithms employed in simulation of steam-water spaces and steam tables resulted in longer computational time. The use of cloud computing for simulation makes essential the optimization of cost of computing and cost of transmission. This paper proposes modification of simulation algorithms, for steam water space system to improve the speed of computation and suit the new computing environments. This makes the simulator faster and cost effective. Experiments using virtual machines show that the proposed quasi-numerical, quasi-steady state is around eight times faster than the conventional steam-table iteration based model.