289 research outputs found
Evaluation of health effects of air pollution in the Chestnut Ridge area : preliminary analysis
This project involves several tasks designed to take advantage of
(1) a very extensive air pollution monitoring system that is operating
..n the Chestnut Ridge.region of Western Pennsylvania and (2) -the very
well developed analytic dispersion models that have been previously
fine-tuned to this particular area.. The major task in this project is
to establish, through several distinct epidemiolopic approaches, health
data to be used to test hypotheses about relations of air pollution
exposures to morbidity and mortality rates in this region. Because
the air quality monitoring network involves no expense to this contract
this project affords a very cost-effective 6pportunity-for state-of-the-art
techniques to be used in both costly areas of air pollution and health
-effects data col1 ection. . The closely spaced network of monitors, plus
the dispersion modeling capabilities,.allow for the investigation- of
health impacts of. various pollutant gradients in neighboring geographic
areas, thus minimizing -the confounding effects of social, ethnic, and
economic factors. The pollutants that are monitored in this network
include total gaseous sulfur, sulfates, total suspended particulates,
NOx, NO, ozone/oxidants, and coefficient of haze. In addition to enabling
the simulation of exposure profiles between monitors, the air quality2
modeling, along with extensive source and background inventories, will
allow for upgrading the quality of the monitored data. as well as
simulating the exposure levels for about 25 additional air pollutants.
Another important goal of this project is to collect and test the many
available models for associating.health effects with air pollution, to
determine their predictive validity and their usefulness in the choice
and siting of future energy facilities
Dynamic Energy Management
We present a unified method, based on convex optimization, for managing the
power produced and consumed by a network of devices over time. We start with
the simple setting of optimizing power flows in a static network, and then
proceed to the case of optimizing dynamic power flows, i.e., power flows that
change with time over a horizon. We leverage this to develop a real-time
control strategy, model predictive control, which at each time step solves a
dynamic power flow optimization problem, using forecasts of future quantities
such as demands, capacities, or prices, to choose the current power flow
values. Finally, we consider a useful extension of model predictive control
that explicitly accounts for uncertainty in the forecasts. We mirror our
framework with an object-oriented software implementation, an open-source
Python library for planning and controlling power flows at any scale. We
demonstrate our method with various examples. Appendices give more detail about
the package, and describe some basic but very effective methods for
constructing forecasts from historical data.Comment: 63 pages, 15 figures, accompanying open source librar
Recommended from our members
NBS monograph
From Introduction Statement of Objectives: "The purpose of this publication is to provide assistance to the practicing engineer who is faced with the problem of making dynamic measurements of rapidly changing pressures.
Constructing seasonally adjusted data with time-varying confidence intervals
Seasonal adjustment methods transform observed time series data into estimated data, where these estimated data are constructed such that they show no or almost no seasonal variation. An advantage of model-based methods is that these can provide confidence intervals around the seasonally adjusted data. One particularly useful time series model for seasonal adjustment is the basic structural time series [BSM] model. The usual premise of the BSM is that the variance of each of the components is constant. In this paper we address the possibility that the variance of the trend component in a macro-economic time series in some way depends on the business cycle. One reason for doing so is that one can expect that there is more uncertainty in recession periods. We extend the BSM by allowing for a business-cycle dependent variance in the level equation. Next we show how this affects the confidence intervals of seasonally adjusted data. We apply our extended BSM to monthly US unemployment and we show that the estimated confidence intervals for seasonally adjusted unemployment change with past changes in the oil price
Adiabatic Pair Creation
We give here the proof that pair creation in a time dependent potentials is
possible. It happens with probability one if the potential changes
adiabatically in time and becomes overcritical, that is when an eigenvalue
enters the upper spectral continuum. The potential may be assumed to be zero at
large negative and positive times. The rigorous treatment of this effect has
been lacking since the pioneering work of Beck, Steinwedel and Suessmann in
1963 and Gershtein and Zeldovich in 1970.Comment: 53 pages, 1 figure. Editorial changes on page 22 f
A combined dynamic economic emission dispatch and time of use demand response mathematical modelling framework
In this paper, we integrate a Demand Response (DR) program into the multi-objective
dynamic economic emission dispatch (DEED) optimization problem. The resulting
optimization problem is termed DR-DEED. The DR program is a time based program
known as the Time of Use DR program. The DR program has been developed using
the customers’ Price Elasticity Matrices, which models the customer behavior under
different conditions. An interactive control strategy between utility and consumers is
proposed for the combined DR-DEED model, which determines the optimal power to
be generated by minimizing fuel, emissions, and DR costs and also the optimal price.
The customer in light of the utility’s optimal price minimizes its electricity cost and
optimally schedules power consumption. Obtained results indicate that DR programs
are mutually beneficial to utility and consumers alike and can bring about desired
demand reduction in the power system.http://scitation.aip.org/content/aip/journal/jrsehb201
Relativistic nuclear recoil corrections to the energy levels of hydrogen-like and high lithium like atoms in all orders in
The relativistic nuclear recoil corrections to the energy levels of
low-laying states of hydrogen-like and high lithium-like atoms in all
orders in are calculated. The calculations are carried out using the
B-spline method for the Dirac equation.
For low the results of the calculation are in good agreement with the
-expansion results. It is found that the nuclear recoil
contribution, additional to the Salpeter's one, to the Lamb shift () of
hydrogen is . The total nuclear recoil correction to the energy
of the transition in lithium-like uranium
constitutes and is largely made up of QED contributions.Comment: 19 pages, latex, accepted for publication in Phys. Rev.
Regulated Expansion of Electricity Transmission Networks: The Effects of Fluctuating Demand and Wind Generation
We study the performance of different regulatory approaches for the expansion of electricity transmission networks in the light of realistic demand patterns and fluctuating wind power. In particular, we are interested in the relative performance of a combined merchant-regulatory mechanism compared to a cost-based and a merchant-like approach. In contrast to earlier research, we explicitly include both an hourly time resolution and fluctuating wind power, which allows representing demand in a very realistic way. This substantially increases the real-world applicability of results compared to previous analyses, which were based on simplifying assumptions. We show that a combined merchant-regulatory regulation, which draws on a cap over the two-part tariff of the Transco, leads to welfare outcomes far superior to the modeled alternatives. This result proves to be robust over a range of different cases and sensitivity analyses. We also find that the intertemporal rebalancing of the two-part tariff carried out by the Transco so as to expand the network is such that the fixed tariff part turns out to be relatively large compared to extension costs
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