Hydrophobic Modification of Pectin Aerogels via Chemical Vapor Deposition.

Pectin aerogels, with very low density (around 0.1 g cm) and high specific surface area (up to 600 m g), are excellent thermal insulation materials since their thermal conductivity is below that of air at ambient conditions (0.025 W m K).

ELMAS: a one-year dataset of hourly electrical load profiles from 424 French industrial and tertiary sectors.

The combination of ongoing urban expansion and electrification of uses challenges the power grid. In such a context, information regarding customers' consumption is vital to assess the expected load at strategic nodes over time, and to guide power system planning strategies. Comprehensive household consumption databases are widely available today thanks to the roll-out of smart meters, while the consumption of tertiary premises is seldom shared mainly due to privacy concerns.

Optimized Electrode/Electrolyte Interface of MWCNT/SnO Composite through Gas-Solid Fluorination.

The benefit of enriching solid-electrolyte interface with fluorine atoms through the use of fluorinated additives into the electrolyte composition has recently gained popularity for anode materials used in secondary lithium-ion batteries. Another strategy is to provide these fluorine atoms via surface fluorination of the electrode material, particularly for multiwalled carbon nanotube (MWCNT)/SnO-based composites where fluorination must act selectively on SnO. Our study presents two methods of surface fluorination applied on MWCNT/SnO, one using F(g) and the other XeF(s).

LCA of emerging technologies: addressing high uncertainty on inputs' variability when performing global sensitivity analysis.

In the life cycle assessment (LCA) context, global sensitivity analysis (GSA) has been identified by several authors as a relevant practice to enhance the understanding of the model's structure and ensure reliability and credibility of the LCA results. GSA allows establishing a ranking among the input parameters, according to their influence on the variability of the output. Such feature is of high interest in particular when aiming at defining parameterized LCA models.