In this paper, non-deterministic CFD (computational fluid dynamics) simulations have been performed to investigate the uncertain effects of stochastic boundary conditions on the aerodynamic performance of wind turbines. A NIPRC (non-intrusive probabilistic collocation) method is employed, which...

A new silica encapsulation technique toward n-octadecane PCM (phase change material) was developed through sol–gel synthesis using sodium silicate as a silica precursor. Fourier transform infrared spectra confirm the chemical composition of the synthesized microcapsules, and wide-angle X-ray...

A series of n-alkanes/silica composites as form-stable phase change materials (PCMs) were synthesized in a sol–gel process using sodium silicate precursor. The chemical compositions and structures of the synthesized composites were characterized by Fourier transform infrared spectroscopy....

This paper considers the design and performance of auction mechanisms used to deploy renewable energy in three emerging economies: Brazil, China, and India. The analysis focuses on the countries'experience in various dimensions, including price reductions, bidding dynamics, coordination with...

Magnetic microcapsules based on an n-eicosane core and Fe3O4/SiO2 hybrid shell were designed as a new type of dual-functional phase change materials. A series of magnetic microcapsule samples were synthesized through a two-step route. Fe3O4 nanoparticles were first self-assembled on the...

China, the European Union and Global Governance examines the key determinants of European and Chinese approaches to the restructuring of global governance systems.

In microarray-based cancer classification, gene selection is an important issue owing to the large number of variables (gene expressions) and the small number of experimental conditions. Many gene-selection and classification methods have been proposed; however most of these treat gene selection...

Two types of recursive estimators are developed for the variance components [sigma]2 and [tau]2 of the dynamic linear model: non-Bayesian and Bayesian. From a frequentist point of view, both types of estimators are mean square consistent. The non-Bayesian estimator of [sigma]2 is also unbiased.