This paper presents the application of the sensitivity analysis techniques Design of Experiments (DOE) and metamodelling to the agent-based model AgriPoliS, which is a spatial and dynamic simulation model of regional structural change. DOE and metamodelling provide a more systematic analysis of results of complex simulation models. When summarising the results, it becomes clear that interest ra...

The Accelerated Model for Climate and Energy (ACME) is a leading-edge climate and Earth system model designed to address U.S. Department of Energy (DOE) mission needs. The ACME project involves collaboration between seven National Laboratories, the National Center for Atmospheric Research, four academic institutions, and one private-sector company. The ACME project funds ongoing efforts to ensu...

In this paper we report the results of coupled DOE-2 and 3D transient computational fluid dynamics (CFD) simulations for an unconditioned 100-year-old Buddhist temple, located in an urban area of Bangkok, Thailand. The HEATX CFD code was combined with the DOE-2 thermal simulation program, to analyze the heat transfer and airflow performance of the building. The indoor temperatures simulated by ...

Two-photon imaging has become a useful tool for optical monitoring of neural circuits, but it requires high laser power and serial scanning of each pixel in a sample. This results in slow imaging rates, limiting the measurements of fast signals such as neuronal activity. To improve the speed and signal-to-noise ratio of two-photon imaging, we introduce a simple modification of a two-photon micr...

Problems in design of technical systems can be solved by optimization or inventive solving principles. Two representation models are studied: Generalized System of Contradictions (GSC) as inventive principle and Design of Experience (DoE) as optimisation principle. Our purpose is to improve the capacity of design problems resolution by using the both solving principles articulated to one repres...

This research focused on using design of experiments (DoE) and simulation modeling to optimize the facility layout in a server assembly line, while introducing a new product. The critical factors that impact the performance metrics of cycle time, work-in-process and throughput were identified by using DoE principles. Subsequently, simulation modeling was used to evaluate the various what-if sce...

Combining the computational fluid dynamics (CFD) and the design of experiments (DOE) methods, as a mixed approach in modeling was proposed so that to simultaneously benefit from the advantages of both modeling methods. The presented method was validated using a coal hydraulic classifier in an industrial scale. Effects of operating parameters including feed flow rate, solid content and baffle le...

s of U.S. DOE publications 184 226,087 111 120.4

Research in chemical engineering requires experiments, which are often expensive, time-consuming, and laborious. Design of experiments (DoE) aims to extract maximal information from a minimum number experiments. The combination DoE with machine learning leads the field active learning, results more flexible, multi-dimensional selection Active has not yet been applied reaction modeling, as most ...

This expository paper discusses the relationships among metamodels, simulation models, and problem entities. A metamodel or response surface is an approximation of the input/output function implied by the underlying simulation model. There are several types of metamodel: linear regression, splines, neural networks, etc. This paper distinguishes between fitting and validating a metamodel. Metamo...