EN
Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology
Abstract
Bioelectrochemical systems (BESs) use electrochemically active microorganisms to convert the chemical energy of organic matter into electrical energy, hydrogen, or other useful products through redox reactions. Microbial electrolysis cell (MEC) is one of the most common BESs which are able to convert organic substrate into energy (such as hydrogen and methane) through the catalytic action of electrochemically active bacteria in the presence of electric current and absence of oxygen. In the past decades, BESs have gained growing attention because of their potential, but there is still a limited amount of research is done for the environmental effects of BESs. This study initially provides an update review for MECs including general historical advancement, design properties, and operation mechanisms. Later, a life cycle assessment (LCA) study was conducted using a midpoint approach, which is TRACI methodology with EIO-LCA model to identify the potential impacts to the environment whether adverse or beneficial using the MECs to produce hydrogen with domestic wastewater as a substrate. The results show that the cumulative negative impacts were substantially larger than the positive impacts by contrast with the expectations, and the cumulative output data show that human health non-cancer impact provides the highest environmental effects than others mainly because of the inorganic chemicals, pumping and wastewater recycling equipment step. In addition, global warming potential and smog creation potential are also elevated mainly due to electricity usage, inorganic chemical and glassware reactor production. Later we are externally normalized each impact category to compare the results at the normalization level, and we again found that human health (cancer or non-cancer) potential provides the most negative impact on the environment in the MEC system originates on human health indicators.
Keywords
References
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Details
Primary Language
English
Subjects
Environmental Engineering
Journal Section
Research Article
Authors
Publication Date
June 30, 2022
Submission Date
October 5, 2021
Acceptance Date
May 12, 2022
Published in Issue
Year 2022 Volume: 26 Number: 3
APA
Tutar Öksüz, S. (2022). Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology. Sakarya University Journal of Science, 26(3), 620-632. https://doi.org/10.16984/saufenbilder.1005044
AMA
1.Tutar Öksüz S. Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology. SAUJS. 2022;26(3):620-632. doi:10.16984/saufenbilder.1005044
Chicago
Tutar Öksüz, Seçil. 2022. “Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology”. Sakarya University Journal of Science 26 (3): 620-32. https://doi.org/10.16984/saufenbilder.1005044.
EndNote
Tutar Öksüz S (June 1, 2022) Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology. Sakarya University Journal of Science 26 3 620–632.
IEEE
[1]S. Tutar Öksüz, “Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology”, SAUJS, vol. 26, no. 3, pp. 620–632, June 2022, doi: 10.16984/saufenbilder.1005044.
ISNAD
Tutar Öksüz, Seçil. “Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology”. Sakarya University Journal of Science 26/3 (June 1, 2022): 620-632. https://doi.org/10.16984/saufenbilder.1005044.
JAMA
1.Tutar Öksüz S. Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology. SAUJS. 2022;26:620–632.
MLA
Tutar Öksüz, Seçil. “Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology”. Sakarya University Journal of Science, vol. 26, no. 3, June 2022, pp. 620-32, doi:10.16984/saufenbilder.1005044.
Vancouver
1.Seçil Tutar Öksüz. Life Cycle Assessment of Microbial Electrolysis Cells for Hydrogen Generation Using TRACI Methodology. SAUJS. 2022 Jun. 1;26(3):620-32. doi:10.16984/saufenbilder.1005044