Dairy farming is a multibillion USD
industry that provides essential
food products. At the same time, the millions of animals that this
industry oversees generate a massive environmental footprint (affecting
air, land, and water quality). Specifically, livestock manure is a
carbon- and nutrient-rich waste stream that is routinely used as fertilizer.
This practice enables nutrient recycling but also leads to greenhouse
gas (GHG) emissions and to nutrient pollution of soils and waterbodies.
Mitigating these environmental impacts requires investment in manure
processing technologies and identifying and prioritizing investment
strategies requires understanding inherent conflicts (trade-offs)
and synergies that exist between economic and environmental impacts.
In this work, we present a conflict analysis and resolution framework
that integrates techno-economic analysis (TEA), life cycle assessment
(LCA), and supply chain (SC) optimization. We use this framework to
investigate deployment scenarios of manure processing pathways in
the Upper Yahara watershed region of Wisconsin. We evaluate LCA (GHG
emissions, ammonia emissions, fossil energy use, and nutrient pollution)
and TEA metrics (cost and revenue) for different pathways that include
manure collection, storage, application, and processing steps. The
LCA and TEA metrics are embedded within a SC optimization model that
makes decisions on technology selection and geographical placement
and on product transport in the study area. A conflict resolution
procedure is used to explore trade-offs associated with these decisions
and to identify optimal compromise solutions that best balance trade-offs.
Our results reveal that there are nonobvious conflicts and synergies
between the explored metrics that can be exploited to mitigate multiple
impacts simultaneously. We also find that the deployment of a diverse
set of technologies is needed to fully resolve conflicts. The impact
of emerging technologies (ultrafiltration and reverse osmosis) and
government incentives is also discussed.