RFQ # 249980G001: Biomass Fuel for 2024/2025 Heating Season, Rees Training Center, Hermiston, OR

The State of Oregon, through the Oregon Military Department (OMD), has issued Request for Quote (RFQ) # 249980G001 to procure approximately 280 tons of premium grade Biomass Fuel Pellets for the 2024/2025 heating season at the Rees Training Center in Hermiston, Oregon, located in Union County. The procurement seeks to establish one or more Purchase Orders for the supply and delivery of biomass fuel, with specific technical requirements including precise specifications for grade, bulk density, pellet size, durability index, ash content, moisture content, and heating value. Contractors must provide a letter of certification with test results demonstrating compliance with the fuel specifications. Quotes must be submitted by September 27, 2024, at 5:00 PM PT, with a required delivery deadline of November 15, 2024. The fuel must be packaged in super sacks with plastic covers and transported on pallets for easy unloading. Pricing will be evaluated on a cost-per-ton basis, and the contract will be awarded to the most responsive, responsible bidder submitting the lowest bid.

The RFQ does not specify any set-aside designations, preferences for disadvantaged enterprises, or restrictions on responding organizations. The Oregon Military Department reserves the right to adjust tonnage, increase or decrease quantity, and process multiple Purchase Orders based on funding availability. No incumbent vendors are identified in the provided documentation, and there are no explicit requirements for integration with existing infrastructure or technology. While the exact budget range is not specified, the procurement is for approximately 280 tons of biomass fuel pellets, suggesting a potential contract value that would correspond to the market rate for premium grade biomass fuel. The agency maintains flexibility in the procurement process, potentially allowing for multiple vendors to be selected and enabling potential adjustments to the contract based on operational needs and funding constraints.