Boulder, CO (PRWEB) October 18, 2011
PPL EnergyPlus has selected Ascend Analytics PowerSimm to manage its portfolio and hedge analysis.
PowerSimm provides an ideal match for PPL’s needs as a company with physical and financial exposure, transmission constraints, and ISO market interactions, said David Leevan, Ascend Analytics vice president. “PPL has a complex portfolio of generating assets, load obligations, operational constraints, hedges and contracts. PowerSimm can model all their major risk drivers,” Leevan added.
About PPL EnergyPlus
PPL EnergyPlus is the successful energy marketing and trading subsidiary of PPL Corporation, a Fortune 500® energy company based in Allentown, Pa. PPL EnergyPlus buys and sells energy commodities and structured products in competitive wholesale energy markets, backed by about 11,000 megawatts of PPL-owned merchant generating capacity and natural gas supply portfolio. PPL trades coal and natural gas, as well as renewable energy credits and emission allowances under the trading provisions of the Clean Air Act. PPL EnergyPlus is active in competitive retail energy markets, providing electricity and natural gas supply, renewable energy, energy services and options such as demand-management programs to meet the diverse needs of business customers. PPL EnergyPlus also offers electricity supply to select residential customers of PPL Electric Utilities and PECO Energy in Pennsylvania.
About Ascend Analytics
Ascend is a software service company based in Boulder, Colorado (US), with a focus on best-of-breed risk analytics solutions. Applications include PowerSimm for energy portfolio analysis, asset valuation, hedge optimization, planning & budgeting, price simulations, and risk analysis. CurveDeveloper provides crucial market data infrastructure and analytics for developing forward curves. Other applications include: Credit Manager, EnergyStorage, PowerSimm OPS & PowerSimm Planner. Ascend utilizes the latest computing technologies and modeling techniques to allow energy analysts and risk managers to model asset backed portfolios in greater detail and accuracy.
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