In recent years,
many life-cycle assessments (LCAs) have been applied
to the field of sewage treatment (ST). However, most LCAs lack systematic
data collection (DC) and processing methods for inventories of conventional
ST (CST), much less for recently developed technologies. In addition,
the use of site-generic databases results in LCAs that lack the representativeness
and understanding of the regional environmental impacts and trade-offs
between different impact categories, especially nutrient enrichment
and toxicity-related categories. These shortcomings make comparative
evaluation and implementation more challenging. In order to assist
in the decision-making process, a novel stoichiometric life-cycle
inventory (S-LCI) for ST was developed. In the S-LCI, biochemical
pathways derived from elemental analyses combined with process-engineering
calculations enable steady-state comparison of the water, air, and
soil emissions of any sewage and sludge sample treated through the
ST configurations analyzed herein. The DC required for the estimation
of the foreground data for a CST is summarized in a 41-item checklist.
Moreover, the S-LCI was validated for CST by comparing the S-LCI with
actual ST plant operations performed in Hong Kong. A novel energy-derived
ST inventory is developed and compared here with the CST. The resulting
inventories are ready to be integrated into the SimaPro software for
life cycle impact assessment as illustrated by the case study. Using
the S-LCI not only helps to standardize the DC and processing, but
it also enhances the level of specificity by using sample characterization
and site-specific data. The EcoInvent database, which contains a single
sample characterization per Swiss and global average ST plant class
could be expanded by using the S-LCI.
Biological
models describing anaerobic digestion (AD) of sewage
sludge have been widely applied to test various control and operation
strategies. Anaerobic digestion model 1 (ADM1) provides a generic
platform that includes the main processes of AD, excluding homoacetogenesis
and the microbial structure. Homoacetogenic bacteria have been identified
as important competitors for hydrogen consumption and acetate production.
Although recent advances in meta-omics techniques have improved our
characterization of AD microbial communities, conventional models
treat functional groups as homogeneous and overlook the physiology
and behavior of microbial individuality, limiting insights into mechanisms
governing process performance. A novel microbial individuality model
(MIM) that integrates kinetics, energetics, and agent-based modeling
to describe a microbiome’s behavior as heterogenic populations,
including homoacetogenesis, was developed. The MIM was validated with
two datasets from previous studies through daily biogas production,
methane content, compound concentrations, and microbial relative abundance
changes. The MIM identified the emergence of Methanosaeta at low concentrations of acetate. Moreover, this simulation supports
experimental studies confirming that the overlooked homoacetogenesis
is an important hydrogen sink in AD. Validated MIMs are expected to
provide insights into syntrophic and competitive interactions among
microbiomes in AD systems while testing different operational parameters
in a virtual environment. The MIM offers a methodological framework
to other biological treatment systems and their microbial community
dynamics.
Several life-cycle assessments (LCAs) have evaluated the environmental impacts (EIs) of different wastewater treatment (WWT) configurations, attempting resource recovery and energy efficiency. However, a plant-wide LCA considering up-concentration primary treatment and low carbon-to-nitrogen (C/N) ratio sewage at the secondary biological treatment (SBT) has not yet been conducted. This study identifies the environmental trade-offs and hotspots for the chemically enhanced primary treatment (CEPT) and low C/N ratio SBT emerging processes compared to conventional WWT. The life-cycle inventories were calculated using a stoichiometric life-cycle inventory framework that couples stoichiometry and kinetics to obtain site-specific water, air, and soil emissions. The midpoint results of LCA show that CEPT with anaerobic digestion (AD) for sludge treatment achieves energy self-sufficiency, but increases marine eutrophication (MEu) by 1 order of magnitude compared to conventional WWT. A mainstream anaerobic fluidized-bed bioreactor and a partial nitritation-anammox fluidized-bed membrane bioreactor which can reduce all environmental impacts by 17−47%, including MEu, are proposed as the SBT of the low-carbon CEPT settled sewage. Integrating the standardized S-LCI framework resulted in a sitespecific LCA that aids decision-makers on choosing between higher reductions in most EIs at the expense of high MEu or less but consistent reductions in all EI categories.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.