Design-Build Team Selected for Piscataway WRRF Bioenergy Plant

Prince George County, Maryland (8/16/18) - “The design-build team of PC Construction, Stantec, and Hazen and Sawyer recently announced it has been selected to design and construct the first phase of Washington Suburban Sanitary Commission’s $250 million Piscataway Water Resource Recovery Facility Bio-Energy Project in Prince George’s County, Maryland.” The new technologies will help reduce the facility’s greenhouse gas emissions by 15 percent while reducing the quantity of biosolids produced and increasing the quality to a Class A product.

Source: http://www.biomassmagazine.com/articles/15...

Synagro Announced as Winner of the Global Water Award of Distinction for Water Deal of the Year

Baltimore, MD (8/7/18) - Synagro has been named as the winner of the Global Water Award of Distinction for “Water Deal of the Year” for the financing of a biosolids facility in partnership with the City of Hamilton, Ontario.

Source: https://www.prweb.com/releases/synagro_ann...

Bio-Energy Project to Save More Than $3M for Washington Suburban Sanitary Commission

Laurel, MD (5/18/18) - Washington Suburban Sanitary Commission (WSSC) Commissioners approved the first phase of a $250 million project to build and design the Piscataway Bio-Energy Project at the Piscataway Water Resource Recovery Facility. The first phase is to allow WSSC to begin design and early construction of the facility. “The new facility will reduce the amount of biosolids left over from the treatment process and the remaining solids will be a Class A material.

Source: https://www.waterworld.com/articles/2018/0...

Biomass Production Study of Hybrid Poplar Grown on Deep Trenched Municipal Biosolids


University of Maryland (7/2/17) -- “Hybrid poplar trees 2-6 years old were grown on a gravel mine spoil in southern Maryland that had biosolids applied using deer row application. The trees were harvested and processed to determine their biomass on a dry weight basis. The data was analyzed and regression analysis was used to create equations that could predict biomass from tree diameter at breast height. The equations developed would allow less intensive data collection and growth assessment of other plantations.”

Source: https://extension.umd.edu/learn/publicatio...