Multi-objective optimization in chemical engineering
نام عام مواد
[Book]
ساير اطلاعات عنواني
developments and applications /
نام نخستين پديدآور
[edited by] Gade Rangaiah, Adrian Bonilla-Petriciolet.
تاریخ پیش بینی شده انتشار
تاريخ
1307
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (512 pages)
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design. Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization"--
متن يادداشت
"This book provides researchers and postgraduate students with an overview of the recent developments and novel applications of multi-objective optimization (MOO) in chemical engineering"--
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Multi-objective optimization in chemical engineering.