IMG Midstream Newsletter June 21, 2016
IMG’s Second Distributed Generation Plant Now Online
Beaver Dam using local natural gas to produce electricity for local market
Beaver Dam, IMG’s second completed distributed generation plant began operations in May. Beaver Dam is located near the intersection of Grover and Brague Road in Grover, Canton Twp, Bradford County, Pennsylvania.
With the ability to provide 20 MWs of capacity and energy (enough to power 15,000 homes) to the local PJM Market, Beaver Dam will be a quick start resource. Beaver Dam has the ability to quickly respond to PJM dispatch which helps tremendously during Peak Load or if the grid has an unexpected need for more power on short notice, like a unplanned generator outage or unexpected spike in energy demand.
“Distributed generation plants, like Beaver Dam, are proving to be an important part of providing greater grid reliability and efficiency,” said Ron Kiecana, CEO for IMG Midstream. “Distributed generation also allows for improved local control and grid management and cuts down losses during transmission.”
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Milan and Alpaca
Two Additional Projects Now Under Construction
IMG Midstream has started construction on two new projects in Bradford County, Pennsylvania – Milan and Alpaca. Milan is located east of Smithfield along Milan Road in Smithfield township and will send its electricity to the Milan substation. Alpaca is located east of Canton, along SR 414, in Canton township and will send its electricity to the Canton substation.
Both projects are expected to be completed by the end of 2016.
IMG Partners with Pitt Students to Study Distributed Generation
Yuwen Yang, John Fitzgerald and Mamoru Iketani, master’s students from Pitt School’s of Mechanical Engineering and Business, presented their project on “A Case Study of Distributed Power Generation from Marcellus Shale” at the Pitt Electrical Power Industry Conference.
They examined the feasibility of distributed power generation fueled by natural gas extracted from deposits in the Marcellus Shale basin. The Master’s students created a supply chain model for distributed power generation which quantified the economic and environmental benefits realized from distributed generation over a centralized power model.