Correlating Sustainabilty and Financial Performance - What Measures Matter? a Study in the Pulp and Paper Industry

A meta analysis of key performance indicators (KPI) for a wide range of companies across the paper industry value chain was performed to understand whether disclosure- or performance-based sustainability metrics were better indicators for financial performance of the firms. The study aimed to contribute to theory development on the link between sustainability and competitiveness of the firm, by conducting a multivariate statistical analysis of a wide range of financial and sustainability metrics. Correlation matrices and principal component analysis (PCA) indicated: (i) a slight positive correlation between GHG emissions and disclosure score (e.g. ESG), (ii) a negative correlation between GHG emissions and financial performance (e.g. ROA, stock price, valuation), and (iii) disclosure based measures are better predictors or corporate sustainability performance (CSP) than are performance-based metrics. Targeted correlation analysis using three principal component indicator variables from four models were inconclusive as to links between sustainability and financial indicators. Even though companies clustered along the ESG score spectrum, there was no relationship with financial metrics. Then performance-based CSP scores were used, no clustering was observed. The lack of validation of the results from the meta analysis using the targeted KPIs was likely due to the loss of resolution of environmental sustainability data in the ESG or CSP scores, which mask trends as the result of decreased sensitivity. Future work should focus on preserving higher granularity of metrics and increased use of multivariate statistical tools to increase the ‘signal-to-noise ratio’ for sustainability-financial performance trends.http://deepblue.lib.umich.edu/bitstream/2027.42/98983/1/1192_PAdriaens.pd

Holistic Management of Energy Storage System for Electric Vehicles

While electric vehicles (EVs) have recently gained popularity owing to their economic and environmental benefits, they have not yet dominated conventional combustion-engine vehicles in the market. This is due mainly to their short driving range, high cost and/or quick battery performance degradation. One way to mitigate these shortcomings is to optimize the driving range and the degradation rate with a more efficient battery management system (BMS). This dissertation explores how a more efficient BMS can extend EVs' driving range during their warranty periods. Without changing the battery capacity/size, the driving range and the degradation rate can be optimized by adaptively regulating main operational conditions: battery ambient temperature (T), the amount of transferred battery energy, discharge/charge current (I), and the range of operating voltage (min/max V). To this end, we build a real-time adaptive BMS from a cyber-physical system (CPS) perspective. This adaptive BMS calculates target operation conditions (T, I, min/max V) based on: (a) a battery performance model that captures the effects of operational conditions on the degradation rate and the driving range; (b) a real-time battery power predictor; and (c) a temperature and discharge/charge current scheduler to determine target battery operation conditions that guarantee the warranty period and maximize the driving range. Physical components of the CPS actuate battery control knobs to achieve the target operational conditions scheduled by the batteries cyber components of CPS. There are two subcomponents for each condition (T, I): (d) a battery thermal management system and (e) a battery discharge/charge current management system that consists of algorithms and hardware platforms for each sub-system. This dissertation demonstrates that a more efficient real-time BMS can provide EVs with necessary energy for the specified period of time while slowing down performance degradation. Our proposed BMS adjusts temperature and discharge/charge current in real time, considering battery power requirements and behavior patterns, so as to maximize the battery performance for all battery types and drivers. It offers valuable insight into both current and future energy storage systems, providing more adaptability and practicality for various mobile applications such as unmanned aerial vehicles (UAV) and cellular phones with new types of energy storages.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/143920/1/kimsun_1.pd

Controlled-Release of Tegretol-XR for Treatment of Epileptic Seizures

Fifty million people around the world are currently affected by epilepsy. Fortunately, the disease responds to treatment 70% of the time, but many of the medications prescribed require multiple dosages per day. To ensure patient compliance, prevent adverse consequences due to missed dosing, and to enhance medicative convenience for the patient, Tegretol has engineered as extended-release pill, Tegretol-XR, which delivers carbamazepine at a nearly constant rate for a twelve hour time period. The design of these tablets involves a drug infused matrix surrounded by an insoluble shell, with a small orifice to allow drug release. When water diffuses through the orifice, the interior pill matrix saturates, and carbamazepine begins to elute out of the orifice until depletion, a process that is designed to take twelve hours. Using COMSOL, a Tegretol-XR tablet was modeled as a 2D rectangular, axisymmetrical slab. Researched diffusivity constants were found to precisely model the water and drug flow into and out of the pills. The diffusion of the drug is coupled with the concentration of water, and as the water infuses into the pill, the diffusivity of the drug is altered, ultimately leading to a sustained release of carbamazepine over the allotted twelve hours. Results from our model indicate that drug release closely follows ideal release kinetics and keeps an ample amount of drug in the bloodstream at all times. It was found that altering the orifice size by 5% resulted in changes of up to 16% in final average drug concentration, implicating that this is the most sensitive variable analyzed. Variables like water diffusivity were much less influential to the final solution. Our model of Tegretol-XR gives epileptic patients the option of taking only two pills a day, and thus, significantly lowers the risk of a missed dose

Hydrologic Precidtion of Climate Chante Impacts on Tone and Yodo River Basins

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Optical Probing of Electronic Interaction between Graphene and Hexagonal Boron Nitride

Even weak van der Waals (vdW) adhesion between two-dimensional solids may perturb their various materials properties owing to their low dimensionality. Although the electronic structure of graphene has been predicted to be modified by the vdW interaction with other materials, its optical characterization has not been successful. In this report, we demonstrate that Raman spectroscopy can be utilized to detect a few % decrease in the Fermi velocity (vF) of graphene caused by the vdW interaction with underlying hexagonal boron nitride (hBN). Our study also establishes Raman spectroscopic analysis which enables separation of the effects by the vdW interaction from those by mechanical strain or extra charge carriers. The analysis reveals that spectral features of graphene on hBN are mainly affected by change in vF and mechanical strain, but not by charge doping unlike graphene supported on SiO2 substrates. Graphene on hBN was also found to be less susceptible to thermally induced hole doping.Comment: 19 pages, 4 figure

Exciton-Sensitized Second-Harmonic Generation in 2D Heterostructures

The efficient optical second-harmonic generation (SHG) of two-dimensional (2D) crystals, coupled with their atomic thickness that circumvents the phase-match problem, has garnered considerable attention. While various 2D heterostructures have shown promising applications in photodetectors, switching electronics, and photovoltaics, the modulation of nonlinear optical properties in such hetero-systems remains unexplored. In this study, we investigate exciton sensitized SHG in heterobilayers of transition metal dichalcogenides (TMDs), where photoexcitation of one donor layer enhances the SHG response of the other as an acceptor. We utilize polarization-resolved interferometry to detect the SHG intensity and phase of each individual layer, revealing the energetic match between the excitonic resonances of donors and the SHG enhancement of acceptors for four TMD combinations. Our results also uncover the dynamic nature of interlayer coupling, as evidenced by the dependence of sensitization on interlayer gap spacing and the average power of the fundamental beam. This work provides insights into how interlayer coupling of two different layers can modify nonlinear optical phenomena in 2D heterostructures