Development and Application of Classical Capillary Curve Theory shows readers how to improve chemical flooding recovery procedures in enhanced oil recovery (EOR) using sophisticated numerical modeling techniques for oil displacement that build on, and enhance, the accepted capillary curve in a novel way. The title presents research and technical data that amends the classical capillary curve, giving new impetus to chemical flooding research. By analyzing the capillary number experiment QL, the book models oil and water distribution in the micro-space of the reservoir core. Finally, the book discusses chemical flooding software, reservoir geological modeling, field tests, and a new technique of digital oil displacement testing being developed.

Development and Application of Classical Capillary Number Curve Theory

Business & Money

Wang, Yu

Qi, Lianqing

Yin, Yanjun

Ma, Qigui

Wang, Hongshen

Economics

Gulf Professional Publishing

Community Paleoecology As a Geologic Tool: The Chinese Ashgillian-Eifelian (SP, 211)

Science & Math

Biological Sciences

Geological Society of Amer

This book starts with the basic ideas in uncertainty propagation using Monte Carlo methods and the generation of random variables and stochastic processes for some common distributions encountered in engineering applications. It then introduces a class of powerful simulation techniques called Markov Chain Monte Carlo method (MCMC), an important machinery behind Subset Simulation that allows one to generate samples for investigating rare scenarios in a probabilistically consistent manner. The theory of Subset Simulation is then presented, addressing related practical issues encountered in the actual implementation. The book also introduces the reader to probabilistic failure analysis and reliability-based sensitivity analysis, which are laid out in a context that can be efficiently tackled with Subset Simulation or Monte Carlo simulation in general. The book is supplemented with an Excel VBA code that provides a user-friendly tool for the reader to gain hands-on experience with Monte Carlo simulation. <ul>
<li>Presents a powerful simulation method called Subset Simulation for efficient engineering risk assessment and failure and sensitivity analysis</li> <li>Illustrates examples with MS Excel spreadsheets, allowing readers to gain hands-on experience with Monte Carlo simulation</li> <li>Covers theoretical fundamentals as well as advanced implementation issues</li> <li>A companion website is available to include the developments of the software ideas</li> </ul> This book is essential reading for graduate students, researchers and engineers interested in applying Monte Carlo methods for risk assessment and reliability based design in various fields such as civil engineering, mechanical engineering, aerospace engineering, electrical engineering and nuclear engineering. Project managers, risk managers and financial engineers dealing with uncertainty effects may also find it useful.

Engineering Risk Assessment with Subset Simulation

Au, Siu-Kui

Technology

wiley

This landmark work lauds the benefits of decreased energy consumption, investigating its relationship to public policy and analyzing its potential billion-dollar benefits to the U.S. economy.
U.S. consumers tend to use energy indiscriminately―something they may no longer be able to do with impunity. This game-changing book asserts that reducing energy consumption should be a frontline strategy to address global climate change, threats to energy security, and the challenge of grid reliability. The book supports two bold arguments: that policies motivating greater investment in high energy efficiency should be a priority, and that energy efficiency can help the nation in times of crisis. 
To make their case for the necessity of prioritizing demand reduction, the authors examine the policies and markets operating in a number of leading cities, states, and nations across the globe to uncover the keys to their success. These examples show how demand-side strategies can significantly reduce pollution, cut costs, and make the electric grid more resilient. The authors explain why these technologies are not widely adopted and assess the potential savings they can produce. The book will be an eye-opener for policymakers, energy professionals, and the public as it demonstrates how cost-effective demand reduction policies can improve air quality, strengthen electricity markets, and generate jobs.
 • Addresses broad questions concerning electricity systems and the economy 
• Documents innovative, energy-efficiency technologies, practices, and policies
• Estimates the achievable cost-effectiveness and economic impact of energy efficiency in the United States
• Illustrates a range of promising strategies for expanding green savings
• Argues for more market intelligence, monitoring, and evaluation so that energy, economic, and climate goals are met
• Showcases the policy environments that have enabled energy efficiency to thrive in leading cities, states, and countries around the world

Green Savings: How Policies and Markets Drive Energy Efficiency (Energy Resources, Technology, and Policy)

Brown, Marilyn A.

Industries

Praeger

Coordination of Distributed Energy Resources in Microgrids: Optimisation, control, and hardware-in-the-loop validation provides a structured overview of research into techniques for managing microgrids with distributed energy resources (DERs). The DERs including distributed generators, energy storage systems, and flexible loads are posing both challenges and opportunities to microgrids' security, planning, operation, and control. Advanced operation and control techniques are needed to coordinate these components in the microgrids and maintain power quality, as well as keeping the system economically feasible. This book is for researchers and students in the area of smart grids, power engineering, and control engineering, as well as for advanced students, transmission network and grid operators. It focuses on cutting-edge techniques for secure, economic, and robust operation and control of microgrids. Effective coordination of DERs on both temporal and spatial scales are introduced in detail. Topics covered include comprehensive mathematical models of DERs and microgrids, sizing and siting of DERs under uncertainties, stochastic and robust optimisation for active and reactive power dispatch of DERs in microgrids, distributed coordinated control, and hardware-in-the-loop tests for validation of control algorithms.

Coordination of Distributed Energy Resources in Microgrids: Optimisation, control, and hardware-in-the-loop validation (Energy Engineering)

Engineering & Transportation

Xu, Yan

Zhang, Cuo

Li, Zhengmao

Engineering

The Institution of Engineering and Technology

La Réception des anthologies de poésie chinoise classique par les poètes français (1735-2008) (Etudes de Litterature Des Xxe Et Xxie Siecles) (French Edition)

Literature & Fiction

History & Criticism

Classiques Garnier

Robotic Computing on FPGAs (Synthesis Lectures on Computer Architecture)

Computers & Technology

Liu, Shaoshan

余波

Wan, Zishen

Computer Science

Springer

Presenting an optimal energy distribution strategy for microgrids in a smart grid environment, and featuring a detailed analysis of the mathematical techniques of convex optimization and online algorithms, this book provides readers with essential content on how to achieve multi-objective optimization that takes into consideration power subscribers, energy providers and grid smoothing in microgrids. Featuring detailed theoretical proofs and simulation results that demonstrate and evaluate the correctness and effectiveness of the algorithm, this text explains step-by-step how the problem can be reformulated and solved, and how to achieve the distributed online algorithm on the basis of a centralized offline algorithm. Special attention is paid to how to apply this algorithm in practical cases and the possible future trends of the microgrid and smart grid research and applications. Offering a valuable guide to help researchers and students better understand the new smart grid, this book will also familiarize readers with the concept of the microgrid and its relationship with renewable energy.

Online Algorithms for Optimal Energy Distribution in Microgrids (SpringerBriefs in Applied Sciences and Technology)

Mao, Shiwen

NELMS, R.MARK

This book describes algorithmic methods and parallelization techniques to design a parallel sparse direct solver which is specifically targeted at integrated circuit simulation problems. The authors describe a complete flow and detailed parallel algorithms of the sparse direct solver. They also show how to improve the performance by simple but effective numerical techniques. The sparse direct solver techniques described can be applied to any SPICE-like integrated circuit simulator and have been proven to be high-performance in actual circuit simulation. Readers will benefit from the state-of-the-art parallel integrated circuit simulation techniques described in this book, especially the latest parallel sparse matrix solution techniques.

Parallel Sparse Direct Solver for Integrated Circuit Simulation

Chen, Xiaoming

Yang, Huazhong

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