Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5
A simplified methodology is presented, based on Gaussian plume relationships, which could be used to assess regulatory constraints and vegetation damage for new power plants. Data input requirements include: (a) power plant size (MW), (b) fuel type, sulfur content, and level of control, and (c) near...
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ftosti:oai:osti.gov:6731097 2023-07-30T04:05:27+02:00 Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 Lipfert, F.W. 2014-02-03 application/pdf http://www.osti.gov/servlets/purl/6731097 https://www.osti.gov/biblio/6731097 https://doi.org/10.2172/6731097 unknown http://www.osti.gov/servlets/purl/6731097 https://www.osti.gov/biblio/6731097 https://doi.org/10.2172/6731097 doi:10.2172/6731097 20 FOSSIL-FUELED POWER PLANTS 29 ENERGY PLANNING POLICY AND ECONOMY CENTRAL REGION AIR QUALITY FOSSIL-FUEL POWER PLANTS ENVIRONMENTAL IMPACTS MID-ATLANTIC REGION NORTH ATLANTIC REGION AIR POLLUTION CALCULATION METHODS ELECTRIC UTILITIES MATHEMATICAL MODELS METEOROLOGY PLANNING USA ENVIRONMENTAL QUALITY NORTH AMERICA POLLUTION POWER PLANTS PUBLIC UTILITIES THERMAL POWER PLANTS 2014 ftosti https://doi.org/10.2172/6731097 2023-07-11T10:51:06Z A simplified methodology is presented, based on Gaussian plume relationships, which could be used to assess regulatory constraints and vegetation damage for new power plants. Data input requirements include: (a) power plant size (MW), (b) fuel type, sulfur content, and level of control, and (c) nearby terrain elevation difference, with respect to stack base, for critical receptors. Based on sample calculations the 24-hour PSD increment is seen to be the most restrictive, using the ASME dispersion coefficients. An 800-MW plant (which is close to the optimum size from cost and reliability considerations according to a recent analysis), could be forced to reduce emissions below the levels assumed in this paper if adverse conditions were encountered. For example, terrain features higher than about 300 m at the critical distance from the plant could be restrictive, as could sufficiently persistent winds that would confine 24-hour plume spreading to <10/sup 0/. Other/Unknown Material North Atlantic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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20 FOSSIL-FUELED POWER PLANTS 29 ENERGY PLANNING POLICY AND ECONOMY CENTRAL REGION AIR QUALITY FOSSIL-FUEL POWER PLANTS ENVIRONMENTAL IMPACTS MID-ATLANTIC REGION NORTH ATLANTIC REGION AIR POLLUTION CALCULATION METHODS ELECTRIC UTILITIES MATHEMATICAL MODELS METEOROLOGY PLANNING USA ENVIRONMENTAL QUALITY NORTH AMERICA POLLUTION POWER PLANTS PUBLIC UTILITIES THERMAL POWER PLANTS |
spellingShingle |
20 FOSSIL-FUELED POWER PLANTS 29 ENERGY PLANNING POLICY AND ECONOMY CENTRAL REGION AIR QUALITY FOSSIL-FUEL POWER PLANTS ENVIRONMENTAL IMPACTS MID-ATLANTIC REGION NORTH ATLANTIC REGION AIR POLLUTION CALCULATION METHODS ELECTRIC UTILITIES MATHEMATICAL MODELS METEOROLOGY PLANNING USA ENVIRONMENTAL QUALITY NORTH AMERICA POLLUTION POWER PLANTS PUBLIC UTILITIES THERMAL POWER PLANTS Lipfert, F.W. Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 |
topic_facet |
20 FOSSIL-FUELED POWER PLANTS 29 ENERGY PLANNING POLICY AND ECONOMY CENTRAL REGION AIR QUALITY FOSSIL-FUEL POWER PLANTS ENVIRONMENTAL IMPACTS MID-ATLANTIC REGION NORTH ATLANTIC REGION AIR POLLUTION CALCULATION METHODS ELECTRIC UTILITIES MATHEMATICAL MODELS METEOROLOGY PLANNING USA ENVIRONMENTAL QUALITY NORTH AMERICA POLLUTION POWER PLANTS PUBLIC UTILITIES THERMAL POWER PLANTS |
description |
A simplified methodology is presented, based on Gaussian plume relationships, which could be used to assess regulatory constraints and vegetation damage for new power plants. Data input requirements include: (a) power plant size (MW), (b) fuel type, sulfur content, and level of control, and (c) nearby terrain elevation difference, with respect to stack base, for critical receptors. Based on sample calculations the 24-hour PSD increment is seen to be the most restrictive, using the ASME dispersion coefficients. An 800-MW plant (which is close to the optimum size from cost and reliability considerations according to a recent analysis), could be forced to reduce emissions below the levels assumed in this paper if adverse conditions were encountered. For example, terrain features higher than about 300 m at the critical distance from the plant could be restrictive, as could sufficiently persistent winds that would confine 24-hour plume spreading to <10/sup 0/. |
author |
Lipfert, F.W. |
author_facet |
Lipfert, F.W. |
author_sort |
Lipfert, F.W. |
title |
Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 |
title_short |
Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 |
title_full |
Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 |
title_fullStr |
Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 |
title_full_unstemmed |
Regional Issue Identification and Assessment Program (RIIA). A methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 |
title_sort |
regional issue identification and assessment program (riia). a methodology for analyzing the short-term air quality impacts of new power plants: issue paper 5 |
publishDate |
2014 |
url |
http://www.osti.gov/servlets/purl/6731097 https://www.osti.gov/biblio/6731097 https://doi.org/10.2172/6731097 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://www.osti.gov/servlets/purl/6731097 https://www.osti.gov/biblio/6731097 https://doi.org/10.2172/6731097 doi:10.2172/6731097 |
op_doi |
https://doi.org/10.2172/6731097 |
_version_ |
1772817378089893888 |