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Author: Dana Lee Gillon
Publisher:
ISBN:
Category :
Languages : en
Pages : 82
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Book Description
Keywords: Modeling emissions trading, Nitrogen oxides, NOx emission trading, Tradable rights, Emissions trading, Cap-and-trade, Transferable discharge permits, TDP, Ozone trading, NOx, Ozone management, Air quality management, Mathematical programming, Mathematical optimization, OTAG, RECLAIM, Charlotte, Smog trading, Tradable allowances, Emission-reduction trading.
Author: Dana Lee Gillon
Publisher:
ISBN:
Category :
Languages : en
Pages : 82
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Book Description
Keywords: Modeling emissions trading, Nitrogen oxides, NOx emission trading, Tradable rights, Emissions trading, Cap-and-trade, Transferable discharge permits, TDP, Ozone trading, NOx, Ozone management, Air quality management, Mathematical programming, Mathematical optimization, OTAG, RECLAIM, Charlotte, Smog trading, Tradable allowances, Emission-reduction trading.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Emission trading programs are incentive-based policy instruments implemented to achieve environmental targets cost-effectively. In these programs, also known as transferable discharge permit (TDP), emission-reduction trading, and cap and trade programs, participants are required to meet established emission reductions goals through control measures or by acquiring TDPs from sources in the market that over-control. TDP programs encourage development and application of innovative control technologies and allow pollution sources more flexibility in complying with regulations. One potential drawback to a market-driven policy such as TDP is that the geographical distribution of emissions resulting from trades could locally degrade air quality if the market is not designed properly. Since such an outcome is generally undesirable, the ability for regulators to predict environmental impacts of trading prior to implementation is very important. The goal of this thesis is to present a general framework for using mathematical optimization to model and analyze different market design features for TDP programs including the potential use of trading restrictions to control the geographic distribution of permits. This framework will provide regulators with a way to identify effective market designs and implement more robust and reliable TDP programs. An important component of this framework is the use of Modeling to Generate Alternatives (MGA) to identify the range of trading outcomes that may occur in response to a TDP program. A case study using this framework was conducted for NOx emission trading in the Charlotte, North Carolina region. The study analyzed alternative trading outcomes generated using MGA, investigated limitations on source size and type in the trading program, and tested the use of zoning restrictions as a way to control the geographical distribution of permits. Trading outcomes were evaluated with respect to cost, air quality, robustness, and reliability. Resul.
Author: Tammy Marie Thompson
Publisher:
ISBN:
Category :
Languages : en
Pages : 272
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Book Description
In order to meet the US EPA's National Ambient Air Quality Standards as set under the provisions of the Clean Air Act, states and regions throughout the United States are designing cap and trade programs aimed at reducing the emissions of the two dominant precursors for ozone, nitrogen oxides (NOx) and Volatile Organic Compounds (VOCs). While emission cap and trade programs are becoming more common, relatively few analyses have examined the air quality implications of moving emissions from one location to another (due to trading of emissions between facilities), from one sector to another (due to the use of technologies such as Plug-in Electric Hybrid Vehicles - PHEVs), and changing the temporal distribution of emissions (through emissions trading among facilities with different temporal profiles). This thesis will examine, in detail, the air quality implications of two emission cap and trade programs. The first program is a NOx trading program that covers Electricity Generating Units (EGUs) in the Northeastern United States. Results show that refining the temporal limits on this cap and trade program, by charging facilities more to emit NOx on days when ozone is most likely to form, has the potential to significantly reduce NOx emissions and ozone concentrations. Additionally, this research also shows that, for this region, the spatial redistribution of NOx emissions due to trading leads to greater ozone reductions than similar amounts of NOx emission reductions applied evenly across all facilities. Analyses also indicate that displacing emissions from the on-road mobile sector (vehicles) to the EGU sector through the use of PHEVs decreases ozone in most areas, but some highly localized areas show increases in ozone concentration. The second trading program examined in this thesis is limited to Houston, Texas, where a VOC trading program is focused on a sub-set of four Highly Reactive Volatile Organic Compounds (HRVOCs), which have been identified as having substantial ozone formation potential. Work presented in this thesis examined whether this trading program, in its current form or in an expanded form, could lead to air pollution hot spots, due to spatial reallocation of emissions. Results show that the program as currently designed is unlikely to lead to ozone hot spots, so no further spatial limitations are required for this program. Expanding the trading to include Other VOCs, fugitive emissions and chlorine emissions, based on reactivity weighted trading, is also unlikely to lead to the formation of ozone hot spots, and could create more flexibility in a trading market that is currently not very active. Based on these air quality modeling results, policy suggestions are provided that may increase participation in the trading market. These case studies demonstrate that use of detailed air analyses can provide improved designs for increasingly popular emission cap and trade programs, with improved understanding of the impacts of modifying spatial and temporal distributions of emissions.
Author:
Publisher: DIANE Publishing
ISBN: 1428902481
Category : Air
Languages : en
Pages : 120
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Book Description
Author:
Publisher: DIANE Publishing
ISBN: 1428904492
Category :
Languages : en
Pages : 147
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Author:
Publisher: DIANE Publishing
ISBN: 1428902805
Category :
Languages : en
Pages : 57
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Author:
Publisher:
ISBN:
Category : Atmospheric ozone
Languages : en
Pages : 112
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Author: Daniel Shepherd Cohan
Publisher:
ISBN:
Category : Atmospheric chemistry
Languages : en
Pages :
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Book Description
The abatement of ground-level ozone has been a priority of air pollution policy because of its harmful effects on human health, ecosystems, and climate. The responsiveness of ozone to emissions of its principal precursors, nitrogen oxides (NOx) and volatile organic compounds (VOCs), is known to depend nonlinearly on spatially and temporally variable factors. Given this variability, scientific understanding of ozone formation processes can facilitate the development of sensible control policies. This thesis applies a high-order sensitivity analysis technique, the Decoupled Direct Method in Three Dimensions (HDDM-3D), to examine ozone response to precursor emissions during summertime air pollution episodes in the southeastern United States. HDDM-3D is shown to accurately capture ozone response within an underlying air quality model, even over large ranges of emission perturbations. Nonlinearity of response is quantified, and nonlinear terms are applied to examine how estimates of sensitivity and source attribution respond to uncertainty in an emissions inventory. Ozone production regime is assessed using both HDDM-3D and species indicator ratios and found to be primarily NOx-limited outside urban centers. However, ozone response to region-wide emissions does not necessarily correspond to its sensitivity to local controls, hindering the usefulness of bipartite ozone regime classification. Significant heterogeneity of ozone response to NOx is found even over small spatial scales of emission origin, a potential complication often ignored in atmospheric modeling and emissions trading mechanisms. Atmospheric sensitivity analysis is linked with a comprehensive menu of potential control measures to demonstrate potential integration of scientific and economic considerations for control strategy formulation. Cost-optimized strategies are identified for attainment of federal ozone standards in Macon, Georgia, and for minimizing potential population exposure to unhealthful concentrations of ozone.
Author: Michael Timothy Craig
Publisher:
ISBN:
Category :
Languages : en
Pages : 104
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Book Description
Nitrogen oxide (NOx) is a prevalent air pollutant across the United States and a requisite precursor for tropospheric (ground-level) ozone formation. Both pollutants significantly impact human health and welfare, so National Ambient Air Quality Standards (NAAQS) have been established for each. As of 2013, over 100 million people in the U.S. lived in areas with ozone concentrations above the NAAQS. NOx emissions from the power sector, roughly 12% of total NOx emissions, are and will be significant contributors to ozone concentrations in the U.S. As such, states have reduced peak ozone concentrations through technology-based standards and cap-and-trade programs on NOx emissions from the power sector. These policies have largely treated NOx emissions uniformly. But marginal damages from NOx emissions are greatest on hot sunny days when meteorological conditions favor high ozone formation rates and, consequently, peak ozone concentrations. This thesis informs what type of policy is the most efficient for reducing peak ozone concentrations on high ozone days by assessing the cost-effectiveness of three policies for reducing NOx emissions on high ozone days. Emissions and costs under a relatively-novel differentiated policy, time-differentiated pricing, are compared for the first time to two currently-implemented undifferentiated policies, cap-and-trade and technology-based standards. Two power systems are studied, Texas and the Mid-Atlantic. A unique two-phase model is developed to capture the short- (re-dispatching) and long-term (control technology installation) effects of pricing schemes on power plants. The two-phase model dispatches generators with a unit commitment model, which, unlike past studies, captures real-world operational constraints of generators that may strongly influence emissions and costs under time-differentiated pricing. Technology-based standards are simulated via Monte Carlo analysis to capture the uncertain rule-making process. For reducing NOx emissions on high ozone days in both power systems, time-differentiated pricing is shown to be the most cost-effective policy with regards to producer and consumer costs. Most emissions reductions are due to substitution of gas- for coal-fired generators, as control technology installations are only observed at very high time-differentiated prices. For reducing summer-wide NOx emissions, undifferentiated pricing is the most cost-effective. In a minority of allocations, technology-based standards also achieve more cost-effective summer-wide reductions than time-differentiated pricing, but such allocations cannot be guaranteed ex ante. These results suggest that time-differentiated pricing is the most efficient policy for reducing peak ozone concentrations, depending on ozone formation rates.
Author: Hans Dieter Betz
Publisher: Springer Science & Business Media
ISBN: 140209079X
Category : Science
Languages : en
Pages : 641
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Book Description
Lightning represents a natural phenomenon of substantial interest. Due to its complex nature, research continues in many countries and reveals amazing results. Lightning is actively observed because of its relevance to Earth climate and air composition in addition to the classical aspects of related human fatalities and damage to forests, buildings, power lines, aircraft, structures and electronic devices. In this volume, the most important contemporary questions on lightning are addressed and analyzed under many experimental and theoretical aspects. Lightning detection techniques using ground-based and space-borne methods are described, along with network engineering and statistical analysis. Contributions detail research on atmospheric electricity, cloud physics, lightning physics, modeling of electrical storms and middle atmospheric events. Special phenomena such as triggered lightning and sprite observations are examined. Lightning-induced nitrogen oxides and their effects on atmospheric chemistry and climate are discussed. Each topic is presented by international experts in the field. Topics include: * air chemistry * convective storms * infrasound from lightning * lightning and climate change * lightning and precipitation * lightning and radiation * lightning and supercells * lightning and thunderstorms * lightning detection * lightning from space * lighting protection * lightning return strokes * observations and interpretations * spatial distribution and frequency * triggered lightning * weather extremes
