Consider a pipeline with time dependent delivery volumes at various load points. Such a system can be controlled by changing with time the pressure setpoints at stations to manipulate flow and linepack. We present an algorithm that computes an optimum set of time-varying setpoint values (out to a user-specified simulation horizon) simultaneously for all stations. These setpoint values are compu...

Agent‐Based Modeling (ABM) is an effective strategy for simulating the emergent properties of complex systems. This form of simulation models the behaviors of individual agents interacting with each other and with their world. ABM is well suited for problems such as modeling behaviors during emergencies, or critical incidents. These situations can range from getting people out of a burning buil...

This paper proposes a new efficient approach to optimize energy consumption for energy aware buildings. Our approach relies on stochastic hybrid automata for representing energy aware systems. The model is parameterized by several cost values that need to be optimized in order to minimize energy consumption. Our approach exploits a stochastic semantic together with simulation in order to estima...

To achieve the stated goals we are conducting experiments on several levels. Data pertaining to the following areas are presented in this report. • Determination of the minimum variability in visual assessment of small color differences in textile samples via the first international replication study. • Assessment of key variables in the textile supply chain and the generation of a fishbone dia...