Ionic Liquids for Utilization of Waste Heat from Distributed Power Generation Systems

The objective of this research project was the development of ionic liquids to capture and utilize waste heat from distributed power generation systems. Ionic Liquids (ILs) are organic salts that are liquid at room temperature and they have the potential to make fundamental and far-reaching changes in the way we use energy. In particular, the focus of this project was fundamental research on the potential use of IL/CO2 mixtures in absorption-refrigeration systems. Such systems can provide cooling by utilizing waste heat from various sources, including distributed power generation. The basic objectives of the research were to design and synthesize ILs appropriate for the task, to measure and model thermophysical properties and phase behavior of ILs and IL/CO2 mixtures, and to model the performance of IL/CO2 absorption-refrigeration systems

Large-Scale Process Simulation and Optimization in a High Performance Computing Environment, AspenWorld 97

High performance computing (HPC) technology, including parallel and/or vector processing, provides opportunities to solve process optimization and simulation problems faster and more reliably than ever before, thus enabling the solution of increasingly large scale problems, even in a real time environment. This presentation will focus on recent advances in HPC technology and methods for exploiting it in process optimization and simulation. Of particular interest are methods for the large, sparse linear equation systems that often arise in large-scale process engineering problems, and that often represent a computational bottleneck. Also of interest is an approach for guaranteeing the reliable solution of process engineering problems.

Large-Scale Process Simulation and Optimization in a High Performance Computing Environment

High performance computing (HPC) technology, including parallel and/or vector processing, provides opportunities to solve process optimization and simulation problems faster and more reliably than ever before, thus enabling the solution of increasingly large scale problems, even in a real time environment. This presentation will focus on recent advances in HPC technology and methods for exploiting it in process optimization and simulation. Of particular interest are methods for the large, sparse linear equation systems that often arise in large-scale process engineering problems, and that often represent a computational bottleneck. Also of interest is an approach for guaranteeing the reliable solution of process engineering problems. 1 Introduction The future success of the chemical process industries depends on the ability to design and operate complex, highly interconnected plants that are profitable and that meet quality, safety, environmental and other standards. Towards this goal..

Interval Analysis: Application to Phase Equilibrium Problems

ilibrium the total Gibbs energy of the system is minimized. Phase stability analysis may be interpreted as a global optimality test that determines whether the phase being tested corresponds to a global optimum in the total Gibbs energy of the system. If it is determined that a phase will split, then a phase split problem is solved, which can be interpreted as finding a local minimum in the total Gibbs energy of the system. This local minimum can then be tested for global optimality using phase stability analysis. If necessary the phase split calculation must then be repeated, perhaps changing the number of phases assumed to be present, until a solution is found that meets the global optimality test. Clearly the correct solution of the phase stability problem, itself a global optimization problem, is the key in this two-stage global optimization procedure for phase equilibrium. As emphasized in [10], while it is possible to apply rigorous global optimization technique