Computational models for CO2 Geo-sequestration & compressed air energy storage /

"This book addresses two distinct, but related and highly important geoenvironmental applications: CO2 sequestration in underground formation, and Compressed Air Energy Storage (CAES). Sequestration of carbon dioxide in underground formations is considered an effective technique and a viable st...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Al-Khoury, Rafid (Editor), Bundschuh, Jochen (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton, Florida ; London [England] : CRC Press, 2014.
Series:	Sustainable energy developments ; Volume 10.
Subjects:	Geological carbon sequestration > Mathematical models. Compressed air > Underground storage > Mathematical models. Compressed air > Underground storage > Environmental aspects. Geological carbon sequestration > Environmental aspects. Piégeage du carbone géologique > Modèles mathématiques. Air comprimé > Stockage souterrain > Modèles mathématiques. Air comprimé > Stockage souterrain > Aspect de l'environnement. Piégeage du carbone géologique > Aspect de l'environnement. MATHEMATICS / General. TECHNOLOGY & ENGINEERING / Civil / General. TECHNOLOGY & ENGINEERING / Environmental / General. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

About the book series Editorial board Contributors Foreword by Jacob Bear Editors' preface About the editors Acknowledgements1. Geological CO2 sequestration and compressed air energy storage
An introduction Jochen Bundschuh and Rafid Al-Khoury 1.1 Atmospheric CO2 concentration and mitigation 1.2 Geological CO2 sequestration 1.3 Compressed air energy storage 1.4 Computational modeling PART I: CO2 Geo-sequestration2. On the theory of CO2 geo-sequestration Mehdi Musivand Arzanfudi and Rafid Al-Khoury 2.1 Introduction 2.2 Definitions 2.3 Averaging process 2.4 Modeling approach 2.5 General balance equations 2.6 Balance equations for special cases 2.7 Constitutive relationships 2.8 Field equations 2.9 Conclusion PART I.I: Reactive transport modeling3. Modeling multiscale-multiphase-multicomponent reactive flows in porous media: Application to CO2 sequestration and enhanced geothermal energy using PFLOTRAN Peter C. Lichtner and Satish Karra 3.1 Introduction 3.2 Single continuum 3.3 Multiple interacting continua 3.4 Numerical implementation 3.5 Parallelization using the PETSc parallel framework 3.6 Single component system 3.7 Applications 3.8 Conclusion 4. Pore-network modeling of multi-component reactive transport under (variably-) saturated conditions Amir Raoof, Hamidreza M. Nick, S. Majid Hassanizadeh and Christopher J. Spiers 4.1 Introduction 4.2 Pore-network modeling 4.3 Well-bore cement degradation 4.4 Saturation dependent solute dispersivity 5. Reactive transport modeling issues of CO2 geological storage Tianfu Xu and Liange Zheng 5.1 Introduction 5.2 Model description 5.3 Fate of injected CO2 5.4 Impact on the groundwater quality 5.5 Modeling issues 5.6 Conclusions PART I.II: Numerical modeling 6. Role of computational science in geological storage of CO2 Mojdeh Delshad, Reza Tavakoil and Mary F. Wheeler 6.1 Introduction 6.2 Compositional flow model 6.3 Thermal energy equation 6.4 Geochemistry model 6.5 Petrophysical property model 6.6 Computational results 6.7 Ensemble kalman filter history matching methodology 6.8 Summary and current extensions 7. A robust implicit pressure explicit mass method for multi-phase multi-component flow including capillary pressure and buoyancy Florian Doster, Eirik Keilegavlen and Jan M. Nordbotten 7.1 Introduction 7.2 Physical background 7.3 The impem algorithm 7.4 Motivation for the discretization 7.5 Comparison of different approaches 7.6 Concluding remarks 8. Simulation of CO2 sequestration in brine aquifers with geomechanical coupling Philip H.Winterfeld andYu-ShuWu 8.1 Introduction 8.2 Simulator geomechanical equations 8.3 Simulator conservation equations 8.4 Discretization of single-porosity simulator conservation equations 8.5 Multi-porosity flow model 8.6 Geomechanical boundary conditions 8.7 Rock property correlations 8.8 Fluid property modules 8.9 Example simulations 8.10 Summary and conclusions 9. Model development for the numerical simulation of CO2 storage in naturally fractured saline aquifers Jim Douglas, Jr., Felipe Pereira and Celestin Zemtsop 9.1 Introduction 9.2 The single porosity problem 9.3 Homogenization 9.4 Thermodynamics 9.5 Numerical simulations and results 9.6 Conclusions 10. Coupled partition of unity-level set finite element formulation for CO2 geo-sequestration Rafid Al-Khoury and Mojtaba Talebian 10.1 Introduction 10.2 Governing equations 10.2.1 Equilibrium equations 10.3 Mixed discretization scheme 10.4 Verifications examples 10.5 Conclusions PART I.III: Aquifer optimization11. Optimization and data assimilation for geological carbon storage David A. Cameron and Louis J. Durlofsky 11.1 Introduction 11.2 A-priori optimization of well placement and control 11.3 Data assimilation and sensor placement 11.4 Aquifer model definition 11.5 Results
a-priori well placement and control optimization 11.6 Results
optimal sensor placement and data assimilation 11.7 Concluding remarks 12. Density-driven natural convection flow of CO2 in heterogeneous porous media Rouhollah Farajzadeh, Bernard Meulenbroek and Johannes Bruining 12.1 Introduction 12.2 Density-driven flow in heterogeneous media 12.3 Analytical model for density-driven natural convection flow 12.4 Summary 12.5 Appendix 12a. Numerical solution of the equations PART II: Compressed air energy storage13. An introduction to the compressed air energy storage Reinhard Leithner and Lasse Nielsen 13.1 Introduction 13.2 Fundamentals of compressed air energy storages 13.3 CAES-cycles
operated and planned 13.4 Summary 14. Simulation of an isobaric adiabatic compressed air energy storage combined cycle Lasse Nielsen, Dawei Qi, Niels Brinkmeier, Andreas Hauschke and Reinhard Leithner 14.1 The ISACOAST-CC concept 14.2 Simulation models 14.3 Simulation results 14.4 Summary 15. Rigorous process simulation of compressed air energy storage (CAES) in porous media systems Lehua Pan and Curtis M. Oldenburg 15.1 Introduction 15.2 Background 15.3 Methods 15.4 Example PM-CAES simulation 15.4.1 A note on time steps 15.5 Conclusions 16. Detailed system level simulation of compressed air energy storage Siddhartha Kumar Khaitan and Mandhapati Raju 16.1 Introduction 16.2 Background 16.3 Caes plant operation 16.4 Component modeling 16.5 Modeling Huntorf CAES plant: A case study 16.6 Conclusions Subject index