Wednesday, October 23, 2024
12:00 PM - 12:20 PM (CDT)
Longhorn Hall A-C, Booth 1022
Catalyst Session: Exploring the Intersection of Environmental Monitoring, Odor Forecasting and Optimization of LFG Monetization

As Byers Scientific continues to gather the most advanced real-time emission data from landfills throughout the country, we are able to share trends and related strategies for reducing potential impacts on local communities. We are especially excited to discuss our newest technological advancement in landfill odor control, monitoring-based automated operation (MAO). The MAO feature is intended for after-hours when landfill operations have ceased, daily cover has been applied, and odor control systems would typically be powered down. For MAO-enabled Byers Scientific Vapor-Phase odor control systems, the Cloud-based SCADA platform will be standing by awaiting a signal from the Envirosuite (EVS) OMNIS software platform to automatically being operating. The OMNIS platform simultaneously monitors several key MET variables and has a demonstrated ability to accurately forecast potential odor events relevant to neighboring communities. With MAO, once a multi-hour potential odor event is identified by OMNIS, the Byers Scientific odor control system(s) can react and respond, autonomously, with preventative odor control action to help mitigate the potential odor event. 

 

Byers Scientific recognizes that it is not just odor on the minds of solid waste operators. With pressure on municipalities to optimize initial and ongoing investments in landfill gas (LFG) collection infrastructure and processing facilities –for both compliance and revenue generation–, the industry is seeking a clearer picture of emissions that are not being captured. Byers Scientific has been exploring the use of real-time surrogate gas monitoring via EVS sensor networks as a way to optimize LFG identification and collection capability in real-time. Join us as we discuss ways landfills can try to keep money from disappearing into thin air. 

Josh Rembusch