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Air Pollution Emission Impacts Associated with Economic Market Potential of Distributed Generation in California

Air Pollution Emission Impacts Associated with Economic Market Potential of Distributed Generation in California PDF Author:
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 112

Book Description


Air Pollution Emission Impacts Associated with Economic Market Potential of Distributed Generation in California

Air Pollution Emission Impacts Associated with Economic Market Potential of Distributed Generation in California PDF Author:
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 112

Book Description


Impacts of Distributed Generation on Air Quality

Impacts of Distributed Generation on Air Quality PDF Author:
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 70

Book Description


Air Quality Impacts of Distributed Generation in the South Coast Air Basin and the San Joaquin Valley

Air Quality Impacts of Distributed Generation in the South Coast Air Basin and the San Joaquin Valley PDF Author:
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 284

Book Description


Air Pollutant Exposure Associated with Distributed Electricity Generation

Air Pollutant Exposure Associated with Distributed Electricity Generation PDF Author: Heath, Garvin A
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 124

Book Description


Distributed Generation Case Studies for Permit Streamlining and the Impact Upon Transmission and Distribution Services

Distributed Generation Case Studies for Permit Streamlining and the Impact Upon Transmission and Distribution Services PDF Author:
Publisher:
ISBN:
Category : Distributed generation of electric power
Languages : en
Pages : 222

Book Description


Influence of Future Low-carbon Energy Scenarios on California Criteria Pollutant Emissions, Air Pollution, and Health

Influence of Future Low-carbon Energy Scenarios on California Criteria Pollutant Emissions, Air Pollution, and Health PDF Author: Christina Bautista Zapata
Publisher:
ISBN: 9780355969733
Category :
Languages : en
Pages :

Book Description
California’s goal to reduce greenhouse gas (GHG) emissions 80% below 1990 levels by the year 2050 will require adoption of low-carbon energy sources across all economic sectors. The CA-TIMES model is a bottom-up energy-economic cost minimization model that was designed to examine different energy scenarios paths given carbon constraints. Here I have dissected two CA-TIMES scenarios, a business-as-usual (BAU) and a GHG-constrained (GHG-Step) scenario, to enhance understanding of how transforming energy can lead to changes in (Part I) short-lived criteria pollutant emissions and impact (Part II) air pollution, public health, and costs associated with premature mortality. In Part (I) the California REgional Multisector AiR QUality Emissions (CA-REMARQUE) model was developed to estimate criteria pollutant emissions inventories for each CA-TIMES energy scenario. Separate algorithms were developed to estimate criteria pollutant and precursor emissions for all energy sectors. This required the incorporation of literature-based emission profiles of particulate chemical composition and size distribution and gas speciation, and emission rates. Spatially-resolved energy projections were reviewed and gathered for many future and advanced electrification, biofuels, and hydrogen technologies. CA-REMARQUE results indicate an overall decrease in emissions across all sectors given a GHG-Step scenario, but also unexpected increases across in some specific energy sectors. Avoidance of fossil fuel consumption and use of alternative fuels, primarily in the GHG-Step scenario, also modify the composition of reactive organic gas emissions and the size and composition of particulate matter emissions. In Part (II) the UCD/CIT Airshed Lagrangian model was run to simulate annual-average air pollution changes of PM2.5 and O3 concentrations. Simulations were conducted for three modelling domains over California: a 576 km2 cell resolution over California, 16 km2 cell resolution over Central Valley, and 16 km2 cell resolution over Southern California. Simulated annual-average PM2.5 and O3 exposure were used to estimate mortality (total deaths per year) and mortality rate (deaths per 100,000) using established exposure-response relationships from air pollution epidemiology. Predicted deaths associated with air pollution in 2050 dropped by 24%–26% in California (1,537–2,758 avoided deaths yr−1) in the 2050 GHG-Step scenario, equivalent to a 54%–56% reduction in the air pollution mortality rate (deaths per 100,000) relative to 2010 levels. These avoided deaths have an estimated value of $11.4B–$20.4B USD per year. Best estimates suggest that meeting an intermediate target (40% reduction in GHG emissions by the year 2030) using a non-optimized scenario would reduce personal income by $4.95B yr−1 (-0.15%) and lower overall state GDP by $16.1B yr−1 (-0.45%). The public health benefits described here are comparable to these cost estimates, making a compelling argument for the adoption of low-carbon energy in California beyond costs associated more directly with climate change.

Air Quailty [sic] Impacts of Distributed Generation

Air Quailty [sic] Impacts of Distributed Generation PDF Author: Scott Samuelsen
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 222

Book Description


Hidden Costs of Energy

Hidden Costs of Energy PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309155800
Category : Science
Languages : en
Pages : 506

Book Description
Despite the many benefits of energy, most of which are reflected in energy market prices, the production, distribution, and use of energy causes negative effects. Many of these negative effects are not reflected in energy market prices. When market failures like this occur, there may be a case for government interventions in the form of regulations, taxes, fees, tradable permits, or other instruments that will motivate recognition of these external or hidden costs. The Hidden Costs of Energy defines and evaluates key external costs and benefits that are associated with the production, distribution, and use of energy, but are not reflected in market prices. The damage estimates presented are substantial and reflect damages from air pollution associated with electricity generation, motor vehicle transportation, and heat generation. The book also considers other effects not quantified in dollar amounts, such as damages from climate change, effects of some air pollutants such as mercury, and risks to national security. While not a comprehensive guide to policy, this analysis indicates that major initiatives to further reduce other emissions, improve energy efficiency, or shift to a cleaner electricity generating mix could substantially reduce the damages of external effects. A first step in minimizing the adverse consequences of new energy technologies is to better understand these external effects and damages. The Hidden Costs of Energy will therefore be a vital informational tool for government policy makers, scientists, and economists in even the earliest stages of research and development on energy technologies.

Environmental Performance Report of California's Electric Generation Facilities

Environmental Performance Report of California's Electric Generation Facilities PDF Author:
Publisher:
ISBN:
Category : Electric power-plants
Languages : en
Pages : 188

Book Description


Long-term Greenhouse Gas Emissions Mitigation in California and the Associated Regional Air Quality and Public Health Impacts

Long-term Greenhouse Gas Emissions Mitigation in California and the Associated Regional Air Quality and Public Health Impacts PDF Author: Tianyang Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 183

Book Description
In this dissertation we investigate the roadmap for California to achieve deep greenhouse gas (GHG) emissions reductions by 2050 and the resulting regional air quality and public health impacts, form the strategy feasibility and selections that achieves different levels of ambitious climate target, to the benefits and trade-offs of different technology pathways with respect to air quality and public health consequences, as well as the relative contributions of emissions from different origins to regional air quality and public health. We first develop a roadmap for California to achieve net-zero GHG emissions in 2050 using detailed modeling of energy system transformation, cross-sectorial connectivity, and technology applicability. GHG mitigation strategies also reduce co-emitted criteria pollutants in California. By utilizing the Weather Research and Forecasting Model with Chemistry (WRF-Chem) and the Environmental Benefit Mapping and Analysis Program (BenMAP), we find that achieving net-zero GHG emissions can reduce 14,066 (95% Confidence Interval: 10,855 - 17,226) air pollution-related mortality in 2050, 35% of which are in disadvantaged communities. The monetized health co-benefit can offset most of the GHG abatement costs (i.e., 26 -116 billion dollars). These co-benefits are mainly contributed by ambient fine particulate matter (PM2.5) concentration reductions, while ambient ozone (O3) concentration in California is not likely to drop when local emissions reduce. The net-zero target also requires bioenergy with carbon capture and sequestration (BECCS) technology to offset some GHG emissions. BECCS technology, whereas supporting the net-zero target, would emit air pollutants through biomass combustion and reduce health co-benefits by 3 billion dollars, suggesting a potential trade-off between climate benefits and health co-benefits of ambitious climate policies. We then analyze the air quality and health impacts of different GHG mitigation pathways. By adopting an integrated approach that combines energy and emission technology modeling, high-resolution chemical transport simulation, and health impact assessment, we find that achievement of the 80% GHG reduction target would always bring substantial air quality and health co-benefits. But more importantly, the level of co-benefits are highly related to the selected technology pathway largely because of California's relatively clean energy structure. Compared with the business-as-usual levels, a decarbonization pathway that focuses on electrification and clean renewable energy is estimated to reduce concentrations of PM2.5 by 18-37% in four major metropolitan areas of California and subsequently avoid 10,196 (95% CI: 8,169-12,202) premature deaths. In contrast, a pathway focusing more on combustible renewable fuels only results in a quarter of such air quality and health benefits. Similar to what we found before, both GHG mitigation pathways may not reduce ambient O3 concentrations in California. Our findings could also assist the development of optimized technology pathway to simultaneously reduce GHG emissions and improve human health in California. Lastly, we conduct a detailed analysis to understand the relative contributions of local and non-local emission sources to ambient PM2.5 and O3 and evaluate the mortality burden in California associated with these two pollutants. We attribute the ambient PM2.5 and O3 concentrations in California to four emission groups: (1) California in-state anthropogenic emissions; (2) anthropogenic emissions from the western United States, excluding California; (3) natural emissions from the western United States; and (4) all emissions from outside of the western United States. Our health impact analyses find that PM2.5 and O3 are associated with 27,445 [95% Confidence Interval (CI): 19,277 - 35,885] and 13,822 (95% CI: 6,106-23,659) mortalities in California in 2012, respectively. Our estimates of O3-assocoated mortality are much higher than previously reported, mainly because we estimate 6,354 (95% CI 2,224 - 10,268) O3-associated cardiovascular mortality based on new epidemiological evidence. Approximately 67% of PM2.5-associated mortality in California is attributable to PM2.5 from in-state anthropogenic emissions. In contrast, 75% of the ambient O3 in California is contributed by distant emissions outside western United States, leading to 92% of O3-associated mortality, while in-state emissions were found to contribute to a much lesser extent to O3-associated mortality [i.e., 771 (95% CI 389-1,146) in ozone season]. The different patterns of PM2.5 and O3 we found also help explain our previous findings that GHG mitigation efforts in California mainly reduce local PM2.5 pollution.