Author:
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 70
Book Description
Impacts of Distributed Generation on Air Quality
Air Quailty [i.e. Quality] Impacts of Distributed Generation
Author: Gary Scott Samuelsen
Publisher:
ISBN:
Category : Distributed generation of electric power
Languages : en
Pages : 214
Book Description
Publisher:
ISBN:
Category : Distributed generation of electric power
Languages : en
Pages : 214
Book Description
The Impact of Air Quality Regulations on Distributed Generation
Author: Joel Bluestein
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 50
Book Description
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 50
Book Description
Air Quailty [sic] Impacts of Distributed Generation
Author: Scott Samuelsen
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 222
Book Description
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 222
Book Description
Air Pollution Emission Impacts Associated with Economic Market Potential of Distributed Generation in California
Air Quality Impacts of Distributed Generation in the South Coast Air Basin and the San Joaquin Valley
Improving Understanding of Regional and Near-source Air Quality Impacts of Distributed Generation Sources
Air Quality Impacts of Distributed Generation in the South Coast Air Basin of California
Author: Marc Carreras Sospedra
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 196
Book Description
Publisher:
ISBN:
Category : Air quality
Languages : en
Pages : 196
Book Description
Air Quality Impact of Distributed Generation of Electricity
Author: Qiguo Jing
Publisher:
ISBN: 9781267132369
Category : Air
Languages : en
Pages : 99
Book Description
The third part of my dissertation focused on formulating a model to estimate concentrations of NO 2, NO x, and O 3 averaged over a spatial scale of the order of a kilometer in a domain extending over tens of kilometers. The model can be used to estimate hourly concentrations of these species over time periods of years. It achieves the required computational efficiency by separating transport and chemistry using the concept of species age. Evaluation with data measured at 21 stations distributed over the Los Angeles air basin indicates that the model provides an adequate description of the spatial and temporal variation of the concentrations of NO 2 and NO x . Estimates of maximum hourly O3 concentrations show little bias compared to observations, but the scatter is not small.
Publisher:
ISBN: 9781267132369
Category : Air
Languages : en
Pages : 99
Book Description
The third part of my dissertation focused on formulating a model to estimate concentrations of NO 2, NO x, and O 3 averaged over a spatial scale of the order of a kilometer in a domain extending over tens of kilometers. The model can be used to estimate hourly concentrations of these species over time periods of years. It achieves the required computational efficiency by separating transport and chemistry using the concept of species age. Evaluation with data measured at 21 stations distributed over the Los Angeles air basin indicates that the model provides an adequate description of the spatial and temporal variation of the concentrations of NO 2 and NO x . Estimates of maximum hourly O3 concentrations show little bias compared to observations, but the scatter is not small.
The Microenvironmental Impact of Roadways and Distributed Generation on Local Air Quality
Author: Zheming Tong
Publisher:
ISBN:
Category :
Languages : en
Pages : 127
Book Description
Microscale air quality in highly populated urban areas has gained increasing attention in recent years. Various emission sources are present, and their contributions need to be quantified for assessing human exposure and developing effective emission control strategies. This dissertation presents the effort towards establishing a better understanding of the spatial variation of multiple air pollutants in complex urban microenvironments through numerical modeling and experimental evaluation. In the first part, I investigated the transport of Black Carbon (BC) in a typical highwaybuilding environment next to an urban high school in South Bronx, NYC. Two generalized configurations i.e., highway-building canyon and highway viaductbuilding are discovered, which is critical to the spatial variation of BC. The second part focuses on roadside barrier designs with the objective to mitigate near-road air pollution. Our analysis revealed two potentially viable design options: a) wide vegetation barriers with high leaf area density which reduces downwind particle concentrations significantly, while resulting in a moderate increase in on-road concentrations, and b) vegetation-solid barrier combinations lead to the greatest reduction in downwind particle concentrations among all configurations and a large increase in on-road concentrations at the same time. The third part investigates the near-source environmental impact of diesel backup generators that participate in demand response programs. The micro-environmental air quality simulation is improved by coupling with a meteorology processor to provide realistic boundary conditions. The study found the near-ground PM2.5 concentration for the worst scenarios could well exceed 100 [MICRO SIGN]g m-3, posing a potential health risk to people living and working nearby. Our analysis also implies that the siting of diesel backup generators stacks should consider not only the interactions of fresh air intake and exhaust outlet, but also the dispersion of exhaust plumes in the surrounding environment. The last part studies the environmental impact of a biomass boiler with and without PM emission control. A micro-environmental model was applied to simulate the experimental conditions, and a good agreement between predicted and on-site measurement is observed. Our analysis shows that the absence of ESP could lead to an almost 7 times increase of the near-ground PM2.5 concentrations in the surrounding environment.
Publisher:
ISBN:
Category :
Languages : en
Pages : 127
Book Description
Microscale air quality in highly populated urban areas has gained increasing attention in recent years. Various emission sources are present, and their contributions need to be quantified for assessing human exposure and developing effective emission control strategies. This dissertation presents the effort towards establishing a better understanding of the spatial variation of multiple air pollutants in complex urban microenvironments through numerical modeling and experimental evaluation. In the first part, I investigated the transport of Black Carbon (BC) in a typical highwaybuilding environment next to an urban high school in South Bronx, NYC. Two generalized configurations i.e., highway-building canyon and highway viaductbuilding are discovered, which is critical to the spatial variation of BC. The second part focuses on roadside barrier designs with the objective to mitigate near-road air pollution. Our analysis revealed two potentially viable design options: a) wide vegetation barriers with high leaf area density which reduces downwind particle concentrations significantly, while resulting in a moderate increase in on-road concentrations, and b) vegetation-solid barrier combinations lead to the greatest reduction in downwind particle concentrations among all configurations and a large increase in on-road concentrations at the same time. The third part investigates the near-source environmental impact of diesel backup generators that participate in demand response programs. The micro-environmental air quality simulation is improved by coupling with a meteorology processor to provide realistic boundary conditions. The study found the near-ground PM2.5 concentration for the worst scenarios could well exceed 100 [MICRO SIGN]g m-3, posing a potential health risk to people living and working nearby. Our analysis also implies that the siting of diesel backup generators stacks should consider not only the interactions of fresh air intake and exhaust outlet, but also the dispersion of exhaust plumes in the surrounding environment. The last part studies the environmental impact of a biomass boiler with and without PM emission control. A micro-environmental model was applied to simulate the experimental conditions, and a good agreement between predicted and on-site measurement is observed. Our analysis shows that the absence of ESP could lead to an almost 7 times increase of the near-ground PM2.5 concentrations in the surrounding environment.