An optimal control algorithm for borehole thermal energy storage systems

The aim of this paper is to present an optimal control algorithm to manage borehole thermal energy storage systems (BTES). Such a system gets exhausted, if it is employed intensively, i.e. outlet fluid is outside acceptable temperature ranges, and can no longer provide the desired heat or cold. To avoid this problem a control algorithm is proposed, which simultaneously optimizes the operation costs. This algorithm is based on a dynamic programming technique and results in an array which provides the optimal heat flux for a given field temperature, date and demand. The controller is illustrated on a simulation of an existing building. Several weather scenarios have been examined and the system remained robust under all situations.     

Adaptive modeling of turbulent flow with residual based turbulent kinetic energy dissipation

In this paper we first review our recent work on a new framework for adaptive turbulence simulation: we model turbulence by weak solutions to the Navier–Stokes equations that are wellposed with respect to mean value output in the form of functionals, and we use an adaptive finite element method to compute approximations with a posteriori error control based on the error in the functional output. We then derive a local energy estimate for a particular finite element method, which we connect to related work on dissipative weak Euler solutions with kinetic energy dissipation due to lack of local smoothness of the weak solutions. The ideas are illustrated by numerical results, where we observe a law of finite dissipation with respect to a decreasing mesh size.     

Multi-cue based 3D residual network for action recognition

Neural Computing and Applications - Convolutional neural network (CNN) is a natural structure for video modelling that has been successfully applied in the field of action recognition. The existing...     

The release of catanionic mixtures embedded in gels: An approximate analytical analysis

We present an approximate analytical analysis of the release of catanionic mixtures from gels. The starting points are the monomer–mixed micelle equilibrium, described by using regular solution theory, and the one‐dimensional diffusion equation. Focusing on a half‐infinite planar system, we first point out an exact reduction of the problem to a system of ordinary differential equations. By using the pseudo‐steady‐state approximation and the integral‐balance method, we then derive a single nonlinear equation for the mole fraction of drug in micelles at the extraction front. This equation may be readily solved numerically (or graphically), and once the solution is found, all quantities of interest may be determined in closed form. Comparisons with numerical solutions of the fully nonlinear problem indicate that the errors resulting from the approximations typically do not exceed 10 %. © 2010 American Institute of Chemical Engineers AIChE J, 2011     

Optimal cepstrum smoothing

The cepstrum of a random process has proven to be a useful tool in a wide range of applications. The common cepstrum estimator based on the periodogram suffers from large variance, and, to a smaller degree, from bias. The variance can be reduced by smoothing. However, the smoothing may be performed in four different domains: the covariance, the spectral, the log-spectral, and the cepstral domain. We present the mean square error (MSE) optimal smoothing kernels in each domain for estimation of the cepstrum. The lower MSE bound of each of the four families of estimators are compared. We also demonstrate how the four MSE optimal estimators differ in robustness.     

4“-O-Alkylated α-Galactosylceramide Analogues as iNKT-Cell Antigens: Synthetic,Biological, and Structural Studies

Invariant natural killer T-cells (iNKT) are a glycolipid-responsive subset of T-lymphocytes that fulfill a pivotal role in the immune system. The archetypical synthetic glycolipid, α-galactosylceramide (α-GalCer), whose molecular framework is inspired by a group of amphiphilic natural products, remains the most studied antigen for iNKT-cells. Nonetheless, the potential of α-GalCer as an immunostimulating agent is compromised by the fact that this glycolipid elicits simultaneous secretion of Th1- and Th2-cytokines. This has incited medicinal chemistry efforts to identify analogues that are able to perturb the Th1/Th2 balance. In this work, we present the synthesis of an extensive set of 4“-O-alkylated α-GalCer analogues, which were evaluated in vivo for their cytokine induction. We have found that conversion of the 4”-OH group to ether moieties decreases the immunogenic potential in mice relative to α-GalCer. Yet, the benzyl-modified glycolipids are able to produce a distinct pro-inflammatory immune response. The crystal structures suggest an extra hydrophobic interaction between the benzyl moiety and the α2-helix of CD1d.     

Dynamic Modeling of a Parabolic Trough Solar Thermal Power Plant with Thermal Storage Using Modelica

Concentrating solar power (CSP) technology with thermal energy storage is a renewable and emerging technology. In this work, dynamic models for analyzing and evaluating energy storage concepts and its interaction with the solar field and the power block have been developed. A physical model of a 50 MW CSP plant has been implemented in the modeling language Modelica. The models are developed in a modular, flexible structure with a well-defined interface to easily replace and test modules of various detail and complexity. Models include turbine island, steam generator, solar field, and thermal energy storage system. In addition, a decentralized control configuration has been developed. Results have been successfully validated against the reference plant key steady-state data. Dynamic response of the power block has shown expected behavior, and transient durations were comparable with settling times predicted in literature. Furthermore, the performance of the plant has been evaluated during a typical summer day including effects such as variation of solar irradiance, charging and discharging the heat storage system, and dumping excess heat in the solar field. The summer day scenario results agreed with published performance of the plant.     

Materials selection for a cooling plate using control area diagrams

Merit indices are used to rank materials and are of fundamental importance in materials selection. Traditionally, merit indices have only been available for elementary design cases. In the present paper merit indices are generalised to cooling systems where heat flow and strength are design criteria in a materials optimisation framework. A cooling tube and a cooling plate are considered. A new concept, merit exponent is used that is related to the merit indices. A definition of the merit exponent is given also for cases with many design variables. In each design case a number of merit exponents are involved. It is a nontrivial task to identify which they are and when each of them is applicable. For this purpose control area diagrams (CAD) are used. A CAD is a diagram with the controlling properties on the axes, and areas where one or more constraints are active. For the cooling systems the controlling properties are heat conductivity and strength. The active constraints define the relevant merit exponent. The constraints involve the controlling properties and geometrical variables. Principles are established for how to set up the CAD and to derive the merit exponents.     

PEGylated bioreducible poly(amido amine)s for non-viral gene delivery

A facile method for PEGylated bioreducible poly(amido amine)s is described by a one-pot Michael-type addition polymerization of N, N′-cystaminebisacrylamide (CBA) with a mixture of 4-amino-1-butanol (ABOL) and mono-tert-butoxycarbonyl (Boc) PEG diamine. By this approach, two Boc-amino-PEGylated p(CBA-ABOL) copolymers were obtained with the PEG/ABOL composition ratio of 1/10 (1a) and 1/6 (2a), respectively. These copolymers were characterized by ¹H NMR and gel permeation chromatography. The PEGylated copolymers 1a, and its deprotected analog 1b with a terminal amino group at the PEG chain, were further evaluated as gene delivery vectors. The copolymers 1a and 1b condense DNA into nano-scaled PEGylated polyplexes (< 250 nm) with near neutral (2–5 mV, 1a) or slightly positive (9–13 mV, 1b) surface charge which remain stable in 150 mM buffer solution over 24 h. UnPEGylated polyplexes from p(CBA-ABOL), however, are relatively less stable and increase in size to more than 1 μm. The PEGylated polyplexes showed very low cytotoxicity in MCF-7 and NIH 3T3 cells and induced appreciable transfection efficiencies in the presence of 10% serum, although that are lower than those of p(CBA-ABOL) lacking PEG. The lower transfection efficiency of the PEGylated p(CBA-ABOL) polyplexes is discussed regarding the effect of PEGylation on endosomal escape of the PEGylated polyplexes.