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Electric Utility Resource Planning - Past, Present and Future

Electric Utility Resource Planning - Past, Present and Future

Joe Ferrari

 

Verlag Elsevier Reference Monographs, 2020

ISBN 9780128226100 , 258 Seiten

Format PDF, ePUB

Kopierschutz DRM

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109,00 EUR

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Electric Utility Resource Planning - Past, Present and Future


 

Electric Utility Resource Planning: Past, Present and Future covers the balance of renewable costs, energy storage, and flexible backstop mechanisms needed in electric utility resource planning. In addition, it covers the optimization of planning methodologies and market design. The book argues that net load, ramping and volatility concerns associated with renewables call into question the validity of almost a century of planning approaches. Finally, it suggests that accounting for flexibility helps optimize the efficiency of the entire fleet of assets, minimizing costs and CO2 generation simultaneously, concluding that a flexible, independent backstop mechanism is needed, regardless of renewables or storage. 
Case studies provide a mix of hypothetical 'what if' scenarios and analyses of real-life utility portfolios drawn from international examples.
  • Examines how resource planners and policy specialists can plan to incorporate renewable generation technologies, thus uniting considerations of technology, methodology, business and policy
  • Focuses on the reality of long-term decision-making and planning processes in working utilities
  • Reviews novel approaches towards resource planning that yield lower costs and CO2
  • Emphasizes the need for flexible backstop mechanisms to maintain reliability


Joe Ferrari is General Manager for Utility Market Development at Wartsila North America, Annapolis, MD. He is currently responsible for project origination efforts with large investor owned utilities, evaluating and guiding planning software development used for resource planning and project valuation. He is formerly a market development analyst for utility portfolio and investment optimization responsible for quantifying risks and solutions.