Capturing Uncertainties for Sustainable Operation of Autothermal Thermophilic Aerobic Digestion Systems

摘要

This study deals with a problem for the sustainable operation of Autothermal Thermophilic Aerobic Digestion (ATAD) systems. The problem is presented as a design of heat integrated batch processes under uncertainties. Heat integration framework is defined and a respective mathematical model is discussed. Two-stage stochastic optimization is formulated. A scenario decomposition concept and Genetic Algorithm are used for problem solution. Real sets of data are used to simulate the heat-integrated ATAD system and demonstrate the resulting sustainability of the operational temperatures in the bioreactors.