The Utilization of Fuel Cell Waste Heat at the University of Bridgeport

District heating system is cost effective and helps to reduce green house gases. It uses the waste heat from existing power plants to provide low temperature heat to the commercial and residential buildings. At UB, the 1.4 MW fuel cell system is owned by another company and the waste heat is free to us. Currently, less than 50% of the waste heat is utilized in several buildings

The future of the district heating system at the University of Bridgeport

Linfeng Zhang, Junling Hu, and David Cote's poster on district heating systems by examining the heating loop at the University of Bridgeport

Searching for Dust around Hyper Metal-Poor Stars

We examine the mid-infrared fluxes and spectral energy distributions for metal-poor stars with iron abundances [Fe/H] $\lesssim-5$, as well as two CEMP-no stars, to eliminate the possibility that their low metallicities are related to the depletion of elements onto dust grains in the formation of a debris disk. Six out of seven stars examined here show no mid-IR excess. These non-detections rule out many types of circumstellar disks, e.g. a warm debris disk ($T\!\le\!290$ K), or debris disks with inner radii $\le1$ AU, such as those associated with the chemically peculiar post-AGB spectroscopic binaries and RV Tau variables. However, we cannot rule out cooler debris disks, nor those with lower flux ratios to their host stars due to, e.g. a smaller disk mass, a larger inner disk radius, an absence of small grains, or even a multicomponent structure, as often found with the chemically peculiar Lambda Bootis stars. The only exception is HE0107-5240, for which a small mid-IR excess near 10 microns is detected at the 2-$\sigma$ level; if the excess is real and associated with this star, it may indicate the presence of (recent) dust-gas winnowing or a binary system.Comment: Accepted for publication in Ap

Exploring the benefits of a traveller clustering approach based on multimodality attitudes and behaviours

This paper presents a new market segmentation study of travellers based on measures of multimodality attitudes and behaviours. The study involved a sample of researchers and clerical workers of the French national transport research institute to allow for a long and detailed questionnaire on multimodality habits. Two different cluster analyses are implemented. The first one considers variables related to the specific trip that was investigated in the survey, namely the intention to make such trip with changing travel means over time and the propensity to use a different mode in the future. The second study focuses on the more general multimodality behaviour, contemplating the actual and desired frequencies of use of different means and the propensity to try new services that are not yet existing in reality. The resulting market segments are compared and they are consistently pointing at almost the same classification of travellers. The best transport policy measures to achieve a behavioural change for each market segment are discussed