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Regulatory Implications of Integrated Real-Time Control Technology under Environmental Uncertainty
[Image: see text] Integrated real-time control (RTC) of urban wastewater systems, which can automatically adjust system operation to environmental changes, has been found in previous studies to be a cost-effective strategy to strike a balance between good surface water quality and low greenhouse gas...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145344/ https://www.ncbi.nlm.nih.gov/pubmed/31916757 http://dx.doi.org/10.1021/acs.est.9b05106 |
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author | Meng, Fanlin Fu, Guangtao Butler, David |
author_facet | Meng, Fanlin Fu, Guangtao Butler, David |
author_sort | Meng, Fanlin |
collection | PubMed |
description | [Image: see text] Integrated real-time control (RTC) of urban wastewater systems, which can automatically adjust system operation to environmental changes, has been found in previous studies to be a cost-effective strategy to strike a balance between good surface water quality and low greenhouse gas emissions. However, its regulatory implications have not been examined. To investigate the effective regulation of wastewater systems with this technology, two permitting approaches are developed and assessed in this work: upstream-based permitting (i.e., environmental outcomes as a function of upstream conditions) and means-based permitting (i.e., prescription of an optimal RTC strategy). An analytical framework is proposed for permit development and assessment using a diverse set of high performing integrated RTC strategies and environmental scenarios (rainfall, river flow rate, and water quality). Results from a case study show that by applying means-based permitting, the best achievable, locally suitable environmental outcomes (subject to 10% deviation) are obtained in over 80% of testing scenarios (or all testing scenarios if 19% of performance deviation is allowed) regardless of the uncertain upstream conditions. Upstream-based permitting is less effective as it is difficult to set reasonable performance targets for a highly complex and stochastic environment. |
format | Online Article Text |
id | pubmed-7145344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-71453442020-04-10 Regulatory Implications of Integrated Real-Time Control Technology under Environmental Uncertainty Meng, Fanlin Fu, Guangtao Butler, David Environ Sci Technol [Image: see text] Integrated real-time control (RTC) of urban wastewater systems, which can automatically adjust system operation to environmental changes, has been found in previous studies to be a cost-effective strategy to strike a balance between good surface water quality and low greenhouse gas emissions. However, its regulatory implications have not been examined. To investigate the effective regulation of wastewater systems with this technology, two permitting approaches are developed and assessed in this work: upstream-based permitting (i.e., environmental outcomes as a function of upstream conditions) and means-based permitting (i.e., prescription of an optimal RTC strategy). An analytical framework is proposed for permit development and assessment using a diverse set of high performing integrated RTC strategies and environmental scenarios (rainfall, river flow rate, and water quality). Results from a case study show that by applying means-based permitting, the best achievable, locally suitable environmental outcomes (subject to 10% deviation) are obtained in over 80% of testing scenarios (or all testing scenarios if 19% of performance deviation is allowed) regardless of the uncertain upstream conditions. Upstream-based permitting is less effective as it is difficult to set reasonable performance targets for a highly complex and stochastic environment. American Chemical Society 2020-01-09 2020-02-04 /pmc/articles/PMC7145344/ /pubmed/31916757 http://dx.doi.org/10.1021/acs.est.9b05106 Text en Copyright © 2020 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Meng, Fanlin Fu, Guangtao Butler, David Regulatory Implications of Integrated Real-Time Control Technology under Environmental Uncertainty |
title | Regulatory
Implications of Integrated Real-Time Control
Technology under Environmental Uncertainty |
title_full | Regulatory
Implications of Integrated Real-Time Control
Technology under Environmental Uncertainty |
title_fullStr | Regulatory
Implications of Integrated Real-Time Control
Technology under Environmental Uncertainty |
title_full_unstemmed | Regulatory
Implications of Integrated Real-Time Control
Technology under Environmental Uncertainty |
title_short | Regulatory
Implications of Integrated Real-Time Control
Technology under Environmental Uncertainty |
title_sort | regulatory
implications of integrated real-time control
technology under environmental uncertainty |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145344/ https://www.ncbi.nlm.nih.gov/pubmed/31916757 http://dx.doi.org/10.1021/acs.est.9b05106 |
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