Reseña del libro "CFD Modelling for Wastewater Treatment Processes (en Inglés)"
Computational fluid dynamics (CFD) is a rapidly emerging field in wastewater treatment, with application to almost all unit processes. To date, it has been primarily used for evaluation of hydraulic problems at Water Resources Recovery Facilities (WRRFs). A potentially more powerful use, however, is to simulate integrated physical, chemical and/or biological processes involved in WRRF unit processes on a spatial scale and to use the gathered knowledge to accelerate improvement in plant models for everyday use, that is, design and optimized operation.In this Scientific And Technical Report (STR), the fundamentals of CFD are presented and the application of CFD for more efficient and effective design and operation of WRRFs is demonstrated. The STRâ??s focus is on articulating the state of practice and research and development needs. Recent developments are also emphasized, including new and emerging software and computations, model calibration and verification, sources of error, etc.
This Scientific and Technical Report (STR) provides in-depth fundamentals and guidelines regarding Computational Fluid Dynamics (CFD) simulations of Water Resources Recovery Facilities (WRRFs) unit processes (e.g. headworks, aerobic and anaerobic biological reactors, settling tanks, disinfection). Each unit process is described with respect to: Literature review and process description Relevant CFD concepts and modelling approach Case studies Future research needs CFD Modelling for Wastewater Treatment Processes also opens the discussion on two fundamental topics: experimental validation of CFD simulations, and the complementarity between CFD and Chemical Reaction Engineering approaches. This book is intended for undergraduate and graduate students majoring in fields related to wastewater treatment and/or fluid mechanics, as well as researchers and engineers who conduct research and practices in modelling such unit processes. Water resource recovery modelling is not just about lab-scale processes. Now and in the future, it is about improving our understanding of (and designing better) full-scale facilities!