{"product_id":"9781394205578","title":"Optimization of Sustainable Process Systems Multiscale Models and Uncertainties","description":"\u003ch1\u003eOptimization of Sustainable Process Systems\u003c\/h1\u003e\u003ch2\u003eMultiscale Models and Uncertainties\u003c\/h2\u003e\u003ch3\u003eCan Li\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003ePresents a systematic review of optimizing sustainable process systems through multiscale modeling and uncertainty analysis\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe global pursuit of net-zero carbon emissions has created an urgent need for chemical engineers and energy researchers to design systems that are both sustainable and resilient. While renewable energy sources such as solar and wind offer great potential, their variability introduces significant challenges that must be addressed through advanced optimization techniques. \u003ci\u003eOptimization of Sustainable Process Systems: Multiscale Models and Uncertainties\u003c\/i\u003e connects optimization fundamentals with their applications in sustainable energy systems with a particular emphasis on the challenges posed by uncertainty. \u003c\/p\u003e\n\u003cp\u003eDivided into two parts, the book first introduces the core mathematical frameworks and methods needed to model and optimize uncertain systems, including stochastic programming, robust optimization, reinforcement learning, and multiscale algorithms. The authors clearly explain these state-of-the-art tools with attention to both theory and computational practice. The second part shifts to applications, demonstrating how these techniques are applied in real-world contexts such as renewable-based hydrogen, methanol, and ammonia production; carbon capture; shale gas systems; biomass integration; and power system optimization. Throughout the text, the authors emphasize the integration of renewables with chemical industries while highlighting strategies to manage variability, strengthen supply chains, and improve system-wide efficiency.  \u003c\/p\u003e\n\u003cp\u003eCombining rigorous fundamentals with cutting-edge applications through a tutorial-style approach, \u003ci\u003eOptimization of Sustainable Process Systems: Multiscale Models and Uncertainties:\u003c\/i\u003e \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e Provides the foundation and tools needed to design resilient, optimized, and sustainable energy systems\u003c\/li\u003e\n\u003cli\u003e Addresses optimization methods under uncertainty tailored to energy and process systems\u003c\/li\u003e\n\u003cli\u003e Presents a unified treatment of stochastic programming, robust optimization, and reinforcement learning techniques\u003c\/li\u003e\n\u003cli\u003e Integrates renewable-based systems with chemical industry supply chain design and operation\u003c\/li\u003e\n\u003cli\u003e Addresses computational challenges in large-scale optimization of energy systems\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eBoth a theoretical resource and a practical guide for applied problem-solving, \u003ci\u003eOptimization of Sustainable Process Systems: Multiscale Models and Uncertainties\u003c\/i\u003e is ideal for graduate-level courses in chemical engineering, process systems engineering, energy systems optimization, and operations research. It is also a valuable reference for industrial researchers, system modelers, and developers working on sustainable process design and energy transition strategies.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eCAN LI, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is an Assistant Professor in the Davidson School of Chemical Engineering at Purdue University. His research group focuses on optimization, machine learning, and applications to sustainable process systems. His research has been recognized by the NSF CAREER Award, ACS PRF Doctoral New Investigator Award, and the Amazon Research Award on Sustainability. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e11 May 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394205578\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e400\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e22.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44676584800396,"sku":"9781394205578","price":180.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394205578_4df2da7e-6e45-46a8-9165-e884d5002974.jpg?v=1780236063","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394205578","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}