Solution: Lightning Risk Assessment

US CUSTOMS & BORDER PROTECTION

US CUSTOMS & BORDER PROTECTION SLS provided integral support for evaluating the lightning protection and grounding systems of a critical datacenter for the United States Customs and Border Protection (USCBP) Agency near Orlando, Florida. Extensive ground resistance and bonding measurements were performed. Based on the results of the study, recommendations were provided to the USCBP […]

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PAYLOAD PROCESSING FACILITYTVA MAGNOLIA COMBINED CYCLE PLANT

PAYLOAD PROCESSING FACILITY TVA MAGNOLIA COMBINED CYCLE PLANT The Tennessee Valley Authority’s Magnolia Combined Cycle Plant is a three-unit natural gas power plant located in Benton County, Mississippi.  The plant has nominal capacity of about 920 MW.  Recently, the plant has experienced some lightning-related issues that negatively impact operations.  TVA contracted with SLS to perform

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SOCCER STADIUM JUMBOTRON

SOCCER STADIUM JUMBOTRON SLS worked in conjunction with Modern Lightning Protection to evaluate the lightning protection system of a large Jumbotron video display at a major soccer stadium. Two lightning protection systems were evaluated and recommended to mitigate potential damage to the video display due to direct lightning strikes. Categories News Publications Projects

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PROCTER & GAMBLE TABLER STATION PLANT

PROCTER & GAMBLE TABLER STATION PLANT Procter & Gamble broke ground in 2015 on a state-of-the-art production facility in the Tabler Station Business Park near Martinsburg, WV.  SLS worked with Dillon Lightning Protection of Myersville, MD to perform a Detailed Lightning Risk Assessment for the P&G plant, per NFPA-780.  SLS identified and quantified lightning vulnerabilities

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FLUOR POWER SERVICES

FLUOR POWER SERVICES SLS was tasked by Fluor Power Services to perform a detailed assessment of the lightning protection and surge protection systems at the Virginia Electric & Power Company Greensville County Power Station. SLS performed 3D rolling sphere calculations to establish lightning vulnerabilities and advanced Monte Carlo risk assessment calculations to determine the probabilities

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