Microgrids have become a hot topic driven by the dual pressures of environmental protection concerns and the energy crisis. In this paper, a challenge for the distributed control of a modern electric grid incorporating clusters of residential microgrids is elaborated and a hierarchical...

Thermal behavior of biomass in torrefaction plays an important role in the operation of pretreatment. To understand the endothermic and/or exothermic characteristics of biomass in the course of torrefaction, an experimental system is conducted and two kinds of biomass (oil palm fiber and...

This work describes three different configurations of syngas production processes using a combination of SMR (steam methane reforming) and DRM (dry reforming of methane). The ideal SMR + DRM process ensures the maximum product yield, the heat-integrated SMR + DRM process fulfills the maximum...

This paper presents the measured characteristics of a single piston hydraulic free-piston engine prototype. The detailed results about the piston motion and the fuel combustion are presented. The results show that there is a strong interaction between the piston motion and the fuel combustion in...

We present a novel methodology for a comprehensive statistical analysis of approximately periodic biosignal data. There are two main challenges in such analysis: (1) the automatic extraction (segmentation) of cycles from long, cyclostationary biosignals and (2) the subsequent statistical...

With the rapid increase of Internet data centers (IDCs), a large amount of electricity is consumed for IDCs' cooling, and a considerable amount of heat is exhausted directly into the ambient all year round. On the other hand, to efficiently and cleanly heat the room in cold regions a lot of...

This paper presents an effort to validate the traffic incident duration estimation model of WAIMSS (wide area incident management support system). Duration estimation model of WAIMSS predicts the incident duration based on an estimation tree which was calibrated using incident data collected in...

Multilevel Structural Equation Modeling (MSEM) is used to estimate latent variable models in the presence of multilevel data. A key feature of MSEM is its ability to quantify the extent to which a hypothesized model fits the observed data. Several test statistics and so-called fit indices can be...