Energies | 卷:14 |
Hydrate Phase Transition Kinetic Modeling for Nature and Industry–Where Are We and Where Do We Go? | |
Matthew Clarke1  Bjørn Kvamme2  | |
[1] Department of Chemical & Petroleum Engineering, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada; | |
[2] Hyzen Energy, 26701 Quail Creek, Laguna Hills, CA 92656, USA; | |
关键词: kinetics; formation; dissociation; molecular dynamics simulation; | |
DOI : 10.3390/en14144149 | |
来源: DOAJ |
【 摘 要 】
Hydrate problems in industry have historically motivated modeling of hydrates and hydrate phase transition dynamics, and much knowledge has been gained during the last fifty years of research. The interest in natural gas hydrate as energy source is increasing rapidly. Parallel to this, there is also a high focus on fluxes of methane from the oceans. A limited portion of the fluxes of methane comes directly from natural gas hydrates but a much larger portion of the fluxes involves hydrate mounds as a dynamic seal that slows down leakage fluxes. In this work we review some of the historical trends in kinetic modeling of hydrate formation and discussion. We also discuss a possible future development over to classical thermodynamics and residual thermodynamics as a platform for all phases, including water phases. This opens up for consistent thermodynamics in which Gibbs free energy for all phases are comparable in terms of stability, and also consistent calculation of enthalpies and entropies. Examples are used to demonstrate various stability limits and how various routes to hydrate formation lead to different hydrates. A reworked Classical Nucleation Theory (CNT) is utilized to illustrate that nucleation of hydrate is, as expected from physics, a nano-scale process in time and space. Induction times, or time for onset of massive growth, on the other hand, are frequently delayed by hydrate film transport barriers that slow down contact between gas and liquid water. It is actually demonstrated that the reworked CNT model is able to predict experimental induction times.
【 授权许可】
Unknown