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Title: A methodology to estimate greenhouse gases emissions in Life Cycle Inventories of wastewater treatment plants

Abstract

The main objective of this paper is to present the Direct Emissions Estimation Model (DEEM), a model for the estimation of CO{sub 2} and N{sub 2}O emissions from a wastewater treatment plant (WWTP). This model is consistent with non-specific but widely used models such as AS/AD and ASM no. 1 and presents the benefits of simplicity and application over a common WWTP simulation platform, BioWin Registered-Sign , making it suitable for Life Cycle Assessment and Carbon Footprint studies. Its application in a Spanish WWTP indicates direct N{sub 2}O emissions to be 8 times larger than those associated with electricity use and thus relevant for LCA. CO{sub 2} emissions can be of similar importance to electricity-associated ones provided that 20% of them are of non-biogenic origin. - Highlights: Black-Right-Pointing-Pointer A model has been developed for the estimation of GHG emissions in WWTP. Black-Right-Pointing-Pointer Model was consistent with both ASM no. 1 and AS/AD. Black-Right-Pointing-Pointer N{sub 2}O emissions are 8 times more relevant than the one associated with electricity. Black-Right-Pointing-Pointer CO{sub 2} emissions are as important as electricity if 20% of it is non-biogenic.

Authors:
 [1];  [1];  [2];  [1];  [1]
  1. Department of Chemical Engineering, University of Santiago de Compostela, Rua Lope Gomez de Marzoa, S/N, 15782, Santiago de Compostela (Spain)
  2. Department of Chemical and Petroleum Engineering, University of Wyoming, 82072 Laramie, WY (United States)
Publication Date:
OSTI Identifier:
22131068
Resource Type:
Journal Article
Journal Name:
Environmental Impact Assessment Review
Additional Journal Information:
Journal Volume: 37; Other Information: Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0195-9255
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; CARBON DIOXIDE; CARBON FOOTPRINT; ECOLOGICAL CONCENTRATION; ELECTRICITY; GREENHOUSE GASES; LIFE CYCLE ASSESSMENT; NITROUS OXIDE; WASTE WATER; WATER TREATMENT; WATER TREATMENT PLANTS

Citation Formats

Rodriguez-Garcia, G., E-mail: gonzalo.rodriguez.garcia@usc.es, Hospido, A., E-mail: almudena.hospido@usc.es, Bagley, D.M., E-mail: bagley@uwyo.edu, Moreira, M.T., E-mail: maite.moreira@usc.es, and Feijoo, G., E-mail: gumersindo.feijoo@usc.es. A methodology to estimate greenhouse gases emissions in Life Cycle Inventories of wastewater treatment plants. United States: N. p., 2012. Web. doi:10.1016/J.EIAR.2012.06.010.
Rodriguez-Garcia, G., E-mail: gonzalo.rodriguez.garcia@usc.es, Hospido, A., E-mail: almudena.hospido@usc.es, Bagley, D.M., E-mail: bagley@uwyo.edu, Moreira, M.T., E-mail: maite.moreira@usc.es, & Feijoo, G., E-mail: gumersindo.feijoo@usc.es. A methodology to estimate greenhouse gases emissions in Life Cycle Inventories of wastewater treatment plants. United States. doi:10.1016/J.EIAR.2012.06.010.
Rodriguez-Garcia, G., E-mail: gonzalo.rodriguez.garcia@usc.es, Hospido, A., E-mail: almudena.hospido@usc.es, Bagley, D.M., E-mail: bagley@uwyo.edu, Moreira, M.T., E-mail: maite.moreira@usc.es, and Feijoo, G., E-mail: gumersindo.feijoo@usc.es. Thu . "A methodology to estimate greenhouse gases emissions in Life Cycle Inventories of wastewater treatment plants". United States. doi:10.1016/J.EIAR.2012.06.010.
@article{osti_22131068,
title = {A methodology to estimate greenhouse gases emissions in Life Cycle Inventories of wastewater treatment plants},
author = {Rodriguez-Garcia, G., E-mail: gonzalo.rodriguez.garcia@usc.es and Hospido, A., E-mail: almudena.hospido@usc.es and Bagley, D.M., E-mail: bagley@uwyo.edu and Moreira, M.T., E-mail: maite.moreira@usc.es and Feijoo, G., E-mail: gumersindo.feijoo@usc.es},
abstractNote = {The main objective of this paper is to present the Direct Emissions Estimation Model (DEEM), a model for the estimation of CO{sub 2} and N{sub 2}O emissions from a wastewater treatment plant (WWTP). This model is consistent with non-specific but widely used models such as AS/AD and ASM no. 1 and presents the benefits of simplicity and application over a common WWTP simulation platform, BioWin Registered-Sign , making it suitable for Life Cycle Assessment and Carbon Footprint studies. Its application in a Spanish WWTP indicates direct N{sub 2}O emissions to be 8 times larger than those associated with electricity use and thus relevant for LCA. CO{sub 2} emissions can be of similar importance to electricity-associated ones provided that 20% of them are of non-biogenic origin. - Highlights: Black-Right-Pointing-Pointer A model has been developed for the estimation of GHG emissions in WWTP. Black-Right-Pointing-Pointer Model was consistent with both ASM no. 1 and AS/AD. Black-Right-Pointing-Pointer N{sub 2}O emissions are 8 times more relevant than the one associated with electricity. Black-Right-Pointing-Pointer CO{sub 2} emissions are as important as electricity if 20% of it is non-biogenic.},
doi = {10.1016/J.EIAR.2012.06.010},
journal = {Environmental Impact Assessment Review},
issn = {0195-9255},
number = ,
volume = 37,
place = {United States},
year = {2012},
month = {11}
}