This paper presents a method for the energy management of a set of smart homes, in which batteries, thermal storage and demand response are considered as flexibilities in order to achieve minimum operation costs. To cope with the uncertainty of load forecast, a two-stage stochastic optimization process is proposed, in which the first stage decision is the committed energy to be purchased, and t...

the bubble effectiveness in liquid phase cylohexane non-catalytic oxidation process is discussed in this paper. then the bubble effectiveness and a new proposed kinetic model are used in the mathematical model of the industrial reactor for the cyclohexane non-catalytic oxidation process. furthermore, simulation and optimization based on this reactor model are carried out. the results of simulat...

In the management of container sea-rail intermodal transportation, dynamic pricing problem with uncertain conditions has significant impacts on the benefit and competitiveness of a multimodal transport operator. Based on the revenue management theory and the features of container sea-rail intermodal transport, this paper develops a two stages optimal model which integrates dynamic pricing and s...

Two design problems at different levels in the control hierarchy are considered; optimization of robust low-level controllers with constrained control signal activity and optimization of economical high-level polyethylene grade changes. As for the first design problem, a constraint on control signal activity due to measurement noise is presented and used when optimizing and comparing PI/PID con...

The overall objective of this research is to support state departments transportation with their decision-making processes and transitions performance management performance-based planning programming mandated by the Moving Ahead for Progress in 21st Century Act. Accomplishing requires a systematic multiobjective optimization methodology. This proposes such methodology, referred as an “element-...