An Integrated Systems Model for Sustainably Managing Dairy and Food Wastes

Executive Summary

New York is the third largest dairy state in the U.S and it generates over 22 million tons of dairy and food wastes per year. Current waste management practices involve storage of untreated wastes in landfills and lagoons which pose significant environmental risks to river basins and lakes due to runoff and climate impacts resulting from fugitive methane emissions. Disposal and treatment of these wastes is typically viewed as a financial burden, but with the right combination of process technologies, it can become a resource for energy and nutrient recovery. The primary goal of this project is to evaluate the economic and technical feasibility of deploying a system of centralized biorefineries using a combination of Anaerobic Digestion (AD), Hydrothermal Liquefaction (HTL) and Biomethanation Power-to-gas (PtG) systems to process agricultural and food wastes. This project will specifically focus on spatial optimization and techno-economic modeling of these processes to develop a user-friendly assessment tool to highlight the potential of combining energy, dairy and food waste management systems to maximize resource recovery, reduce greenhouse gas emissions, and lowering local environmental impacts within a circular economy, all while ensuring cost-cutting and energy efficiency targets.

Technical Challenge

  • Due to recent NY state legislation, approximately 4 million tons of food waste per year will need an alternative to landfilling that would both be environmentally beneficial and economically viable.
  • Optimal locations for biorefineries must be determined in order for the process to be economically viable.
     

Potential Impact

The proposed study will estimate the potential of combining renewable energy, dairy, and food waste management systems to maximize resource recovery, increase economic output, and reduce environmental risks within a circular economy. The leveraging of existing AD infrastructure in the state as hubs for expanded biorefining processes. The study will specifically develop and validate a TEA model employing AD-HTL-P2G technologies for converting dairy and food wastes to produce pipeline quality renewable natural gas (RNG) while simultaneously lowering environmental impacts to watersheds and reducing greenhouse gas emissions. A key outcome will be a spatially resolved Geographic Information System (GIS) model that locates and sizes biorefineries in NY State to maximize their economic benefits for farmers and municipalities with specified sets of performance, economic and regulatory assumptions.

Resources

The cross diciplinary project team at Cornell University includes expertise in measuring kinetic processes of chemically reacting systems using biomass feedstocks, in biological processing, and in the Food-Energy-Water (FEW) nexus.