NDLI: The Value of Energy Flexibility: Integrating Wind Resources in New York State

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The Value of Energy Flexibility: Integrating Wind Resources in New York State

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Terence, M. Conlon Modi, Vijay Michael, B. Waite
Copyright Year	2018
Abstract	This paper explores the effects of energy system flexibility on the contribution of wind generation to the New York State (NYS) electricity generation mix. First, the benefits of NYS-specific flexible hydropower are investigated. For all simulations, a mixed integer linear program minimizes net load to determine the maximum aggregate capacity factor for the installed wind power. A similar routine explores the benefits of three different types of energy flexibility: flexible supply, flexible demand, and bidirectional flexibility (i.e. energy storage). To compare across technologies, a novel method of standardizing flexibility inputs, Potential Flexible Energy (PFE), is introduced. With 30 GW wind capacity in NYS (average electricity demand of 18.7 GW), introducing electric vehicles with an average load of 1.44 GW and daily available battery capacity of 34.5 GWh (roughly equivalent to the daily use of 3.4 million passenger EVs) increases statewide wind utilization by 840 MW (9.0% of wind potential and 4.5% of average load). Added flexibility in the form of energy storage yields similar results: with 3.2 GW charge/discharge capability and 76.8 GWh storage capacity, statewide wind utilization increases by an average of 660 MW (7.0% of wind potential and 3.5% of average load). Because of transmission constraints and the geographic distribution of high-potential wind resources, increased wind utilization is only achieved when flexibility is added in the region where 86% of the 30 GW simulated wind capacity is located.
File Format	PDF
ISBN	9780791852088
DOI	10.1115/IMECE2018-87521
Volume Number	Volume 6B: Energy
Conference Proceedings	ASME 2018 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2018-11-09
Publisher Place	Pittsburgh, Pennsylvania, USA
Access Restriction	Subscribed
Subject Keyword	Wind Electric power generation Hydropower Storage Simulation Electric vehicles Batteries Engineering simulation Wind power Stress Energy storage
Content Type	Text
Resource Type	Article

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