The effects of distributed solar on utilities and their customers

This dissertation evaluates the impact increasing penetrations of distributed solar will have on the electricity industry. It reconciles an analysis of the effect of increasing DPV penetration at the system scale, with an understanding of how installing DPV alters behavior at the household level. To provide such a comprehensive view on the role of DPV in the evolving utility, I construct a utility financial model and populate that with customer load and solar data. I compliment that analysis with utility billing data to gain insights on the interaction between solar installation, rate design, and electricity consumption. Results indicate that solar is likely to exacerbate existing inequities in cost allocation, the value of the solar resource is highly contextual, and installing solar is likely to change household energy consumption patterns. By incorporating insights from the macro and micro level, I demonstrate the need for markets, regulations, and rates which send appropriate signals to encourage system level efficiencies. This dissertation bridges utility modeling literature with empirical work to better understand prosumer behavior and shed light on the future of utility operations.Ph.D

The Bacterial Flora of the Normal Gingival Sulcus

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142295/1/jper0502.pd

A review of barriers in implementing dynamic electricity pricing to achieve cost-causality

Rapidly changing economics, customer preferences, and policy to address climate change and local environmental pollutants have driven increased deployment of a wide range of distributed energy resources in the U.S. electricity system. Distributed energy resources have enabled an expanded role for energy consumers and non-utility third parties to reshape system costs, drawing renewed attention to the potential of reforming electricity rate design based on the further application of cost-causal principals to improve overall system fairness and efficiency. One mechanism to move toward greater application of cost-causal rate design is dynamic pricing, which varies electricity prices across time and location to reflect costs of providing electricity to consumers under specific market conditions and grid operation conditions. While dynamic electricity pricing has penetrated some markets, and it has not been widely implemented, particularly for residential consumers. In this review article, we provide a brief summary of electricity rate design, including the possibility of introducing dynamic prices, and explain why dynamic prices are more reflective of the short-run marginal costs of electricity supply than volumetric rates. We then explore the barriers to the widespread adoption of residential dynamic pricing, emphasizing technical, economic, and political challenges. Our assessment reflects the ability of dynamic prices to engender more equitable and efficient outcomes by achieving the goal of cost-causality, and we argue that a move toward more dynamic pricing can constitute a welfare improvement over volumetric rates. However, dynamic pricing does not completely address the full set of challenges associated with rate design and, alone, is unlikely to enable the full recovery of fixed costs and the fair attribution of the positive and negative externalities of electricity provision. Therefore, electricity rate design requires tradeoffs, making it as much an art as a science. This analysis synthesizes literature across multiple fields and suggests avenues for further research

Visualizing dynamic microvillar search and stabilization during ligand detection by T cells.

During immune surveillance, T cells survey the surface of antigen-presenting cells. In searching for peptide-loaded major histocompatibility complexes (pMHCs), they must solve a classic trade-off between speed and sensitivity. It has long been supposed that microvilli on T cells act as sensory organs to enable search, but their strategy has been unknown. We used lattice light-sheet and quantum dot-enabled synaptic contact mapping microscopy to show that anomalous diffusion and fractal organization of microvilli survey the majority of opposing surfaces within 1 minute. Individual dwell times were long enough to discriminate pMHC half-lives and T cell receptor (TCR) accumulation selectively stabilized microvilli. Stabilization was independent of tyrosine kinase signaling and the actin cytoskeleton, suggesting selection for avid TCR microclusters. This work defines the efficient cellular search process against which ligand detection takes place

P-wave duration is a predictor for long-term mortality in post-CABG patients.

Risk stratification in secondary prevention has emerged as an unmet clinical need in order to mitigate the Number-Needed-to-Treat and make expensive therapies both clinically relevant and cost-effective. P wave indices reflect atrial conduction, which is a sensitive marker for inflammatory, metabolic, and pressure overload myocardial cell remodeling; the three stimuli are traditional mechanisms for adverse clinical evolution. Accordingly, we sought to investigate the predictive role of P-wave indices to estimate residual risk in patients with chronic coronary artery disease (CAD). The cohort included 520 post-Coronary Artery Bypass Grafting patients with a median age of 60 years who were followed for a median period of 1025 days. The primary endpoint was long-term all-cause death. Cubic spline model demonstrated a linear association between P-wave duration and incidence rate of long-term all-cause death (p = 0.023). P-wave >110ms was a marker for an average of 425 days shorter survival as compared with P-wave under 80ms (Logrank p = 0.020). The Cox stepwise regression models retained P-wave duration as independent marker (HR:1.37; 95%CI:1.05-1.79,p = 0.023). In conclusion, the present study suggests that P-wave measurement may constitute a simple, inexpensive and accessible prognostic tool to be added in the bedside risk estimation in CAD patients