Reconsidering Regulatory Uncertainty: Making a Case for Energy Storage

This Article begins the complex dialogue that must take place to address the emerging technologies providing energy storage for our electricity grid. Energy storage has the capacity to be a game-changer for many facets of our grid, providing better integration of renewable energy, enhanced reliability, and reduced use of carbon-intensive fuels. Energy storage faces a number of obstacles, however, including technological, financial, and regulatory uncertainty. This Article focuses on the regulatory uncertainty, and defends the proposition that not all regulatory uncertainty is created equal. It argues for differential treatment of this uncertainty, depending on its context, scope, and source, and applies this framework to the uncertainty surrounding the classification of energy storage. It finds that this uncertainty operates against high baseline levels of uncertainty in the energy industry, is limited in its scope, and is intentionally embraced by the federal regulators in an effort to realize the benefits of regulatory uncertainty. This Article asserts that this form of uncertainty is one that can be managed in a way to avoid stifling the development of this important technology. This Article sets forth strategies for regulators and regulated entities to continue to function, even within this zone of regulatory uncertainty

Reconsidering Regulatory Uncertainty: Making a Case for Energy Storage

This Article begins the complex dialogue that must take place to address the emerging technologies providing energy storage for our electricity grid. Energy storage has the capacity to be a game-changer for many facets of our grid, providing better integration of renewable energy, enhanced reliability, and reduced use of carbon-intensive fuels. Energy storage faces a number of obstacles, however, including technological, financial, and regulatory uncertainty. This Article focuses on the regulatory uncertainty, and defends the proposition that not all regulatory uncertainty is created equal. It argues for differential treatment of this uncertainty, depending on its context, scope, and source, and applies this framework to the uncertainty surrounding the classification of energy storage. It finds that this uncertainty operates against high baseline levels of uncertainty in the energy industry, is limited in its scope, and is intentionally embraced by the federal regulators in an effort to realize the benefits of regulatory uncertainty. This Article asserts that this form of uncertainty is one that can be managed in a way to avoid stifling the development of this important technology. This Article sets forth strategies for regulators and regulated entities to continue to function, even within this zone of regulatory uncertainty

Reconsidering Regulatory Uncertainty: Making a Case for Energy Storage

This Article begins the complex dialogue that must take place to address the emerging technologies providing energy storage for our electricity grid. Energy storage has the capacity to be a game-changer for many facets of our grid, providing better integration of renewable energy, enhanced reliability, and reduced use of carbon-intensive fuels. Energy storage faces a number of obstacles, however, including technological, financial, and regulatory uncertainty. This Article focuses on the regulatory uncertainty, and defends the proposition that not all regulatory uncertainty is created equal. It argues for differential treatment of this uncertainty, depending on its context, scope, and source, and applies this framework to the uncertainty surrounding the classification of energy storage. It finds that this uncertainty operates against high baseline levels of uncertainty in the energy industry, is limited in its scope, and is intentionally embraced by the federal regulators in an effort to realize the benefits of regulatory uncertainty. This Article asserts that this form of uncertainty is one that can be managed in a way to avoid stifling the development of this important technology. This Article sets forth strategies for regulators and regulated entities to continue to function, even within this zone of regulatory uncertainty

Designing electronic collaborative learning environments

Electronic collaborative learning environments for learning and working are in vogue. Designers design them according to their own constructivist interpretations of what collaborative learning is and what it should achieve. Educators employ them with different educational approaches and in diverse situations to achieve different ends. Students use them, sometimes very enthusiastically, but often in a perfunctory way. Finally, researchers study them and—as is usually the case when apples and oranges are compared—find no conclusive evidence as to whether or not they work, where they do or do not work, when they do or do not work and, most importantly, why, they do or do not work. This contribution presents an affordance framework for such collaborative learning environments; an interaction design procedure for designing, developing, and implementing them; and an educational affordance approach to the use of tasks in those environments. It also presents the results of three projects dealing with these three issues

A Mixed-Effects Location Scale Model for Dyadic Interactions.

We present a mixed-effects location scale model (MELSM) for examining the daily dynamics of affect in dyads. The MELSM includes person and time-varying variables to predict the location, or individual means, and the scale, or within-person variances. It also incorporates a submodel to account for between-person variances. The dyadic specification can accommodate individual and partner effects in both the location and the scale components, and allows random effects for all location and scale parameters. All covariances among the random effects, within and across the location and the scale are also estimated. These covariances offer new insights into the interplay of individual mean structures, intra-individual variability, and the influence of partner effects on such factors. To illustrate the model, we use data from 274 couples who provided daily ratings on their positive and negative emotions toward their relationship - up to 90 consecutive days. The model is fit using Hamiltonian Monte Carlo methods, and includes subsets of predictors in order to demonstrate the flexibility of this approach. We conclude with a discussion on the usefulness and the limitations of the MELSM for dyadic research

Unlocking the potential of the smart metering technology: How can regulation level the playing-field for new services in smart grids?

By integrating a communications system with the existing power grid, smart grids provide end-to-end connectivity. This enables all entities and components integrated in the electricity supply system to exchange information without knowing the network's structure. New services and applications such as demand response or virtual power plants that will aid to improve and optimize the use of electricity depend on the availability of a smart grid communication network. End-to-end communication networks require that the missing communications gap between consumers' premises and the remaining energy network is bridged by deploying an Advanced Metering Infrastructure (AMI). Given the current liberalized electricity markets' structure incumbent distribution system operators (DSOs) will control the AMI and the meter data. This gives rise to concerns about anti-competitiveness. We argue that leveraging the AMI in a social welfare maximizing way requires non-discriminatory access for all entitled parties to the (1) AMI and the (2) meter data through (3) interoperable standards. We discuss possible regulatory remedies to ensure a level playing-field for innovative services in smart grids and consider implications for research and regulation. --Regulation,Smart Grid,Smart Meter,Antitrust

Beyond technology and finance: pay-as-you-go sustainable energy access and theories of social change

Two-thirds of people in sub-Saharan Africa lack access to electricity, a precursor of poverty reduction and development. The international community has ambitious commitments in this regard, e.g. the UN's Sustainable Energy for All by 2030. But scholarship has not kept up with policy ambitions. This paper operationalises a sociotechnical transitions perspective to analyse for the first time the potential of new, mobileenabled, pay-as-you-go approaches to financing sustainable energy access, focussing on a case study of pay-as-you-go approaches to financing solar home systems in Kenya. The analysis calls into question the adequacy of the dominant, two-dimensional treatment of sustainable energy access in the literature as a purely financial/technology, economics/ engineering problem (which ignores sociocultural and political considerations) and demonstrates the value of a new research agenda that explicitly attends to theories of social change – even when, as in this paper, the focus is purely on finance. The paper demonstrates that sociocultural considerations cut across the literature's traditional two-dimensional analytic categories (technology and finance) and are material to the likely success of any technological or financial intervention. It also demonstrates that the alignment of new payas- you-go finance approaches with existing sociocultural practices of paying for energy can explain their early success and likely longevity relative to traditional finance approaches

A high-throughput WSN for structural health monitoring

A challenge with existing WSNs used for structural health monitoring (SHM) is how to increase the data transmission rate (DTR) for large amounts of sampling data. To handle this issue, this paper proposes a new design method of a high-throughput WSN with multi-radio sink node (M-RSN) which can increase the data transfer ability of WSN. Additionally, a tight scheduled approach and multi-radio time synchronization method are designed for the stable implementation of the proposed network. A high data throughput of 1020 Kbps of the developed network has been proved. To evaluate the effectiveness and robustness of the proposed network designing method, experiments for aircraft composite wing boxes monitoring are carried out. The evaluation results have shown the advantages of the proposed methods