Special Session: Battery Storage Technologies & Their Potential Applications in the Power Systems

Author(s):  
Omar J Guerra ◽  
Joshua Eichman ◽  
Paul Denholm

Achieving 100% carbon-free or renewable power systems can be facilitated by the deployment of energy storage technologies at all timescales, including short-duration, long-duration, and seasonal scales; however, most current literature...


Author(s):  
Francisco Díaz-González ◽  
Eduard Bullich-Massagué ◽  
Cristina Vitale ◽  
Marina Gil-Sánchez ◽  
Mònica Aragüés-Peñalba ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6344
Author(s):  
Christopher Hakoda ◽  
Eric S. Davis ◽  
Cristian Pantea ◽  
Vamshi Krishna Chillara

A piezoelectric-based method for information storage is presented. It involves engineering the polarization profiles of multiple piezoelectric wafers to enhance/suppress specific electromechanical resonances. These enhanced/suppressed resonances can be used to represent multiple frequency-dependent bits, thus enabling multi-level information storage. This multi-level information storage is demonstrated by achieving three information states for a ternary encoding. Using the three information states, we present an approach to encode and decode information from a 2-by-3 array of piezoelectric wafers that we refer to as a concept Piezoelectric Quick Response (PQR) code. The scaling relation between the number of wafers used and the cumulative number of information states that can be achieved with the proposed methodology is briefly discussed. Potential applications of this methodology include tamper-evident devices, embedded product tags in manufacturing/inventory tracking, and additional layers of security with existing information storage technologies.


Author(s):  
Eoghan McKenna ◽  
John Barton ◽  
Murray Thomson

This article studies the impact on CO2 emissions of electrical storage systems in power systems with high penetrations of wind generation. Using the Irish All-Island power system as a case-study, data on the observed dispatch of each large generator for the years 2008 to 2012 was used to estimate a marginal emissions factor of 0.547 kgCO2/kWh. Selected storage operation scenarios were used to estimate storage emissions factors – the carbon emissions impact associated with each unit of storage energy used. The results show that carbon emissions increase in the short-run for all storage technologies when consistently operated in ‘peak shaving and trough filling’ modes, and indicate that this should also be true for the GB and US power systems. Carbon emissions increase when storage is operated in ‘wind balancing’ mode, but reduce when storage is operated to reduce wind power curtailment, as in this case wind power operates on the margin. For power systems where wind is curtailed to maintain system stability, the results show that energy storage technologies that provide synthetic inertia achieve considerably greater carbon reductions. The results highlight a tension for policy makers and investors in storage, as scenarios based on the operation of storage for economic gains increase emissions, while those that decrease emissions are unlikely to be economically favourable. While some scenarios indicate storage increases emissions in the short-run, these should be considered alongside long-run assessments, which indicate that energy storage is essential to the secure operation of a fossil fuel-free grid.


2017 ◽  
Vol 32 (1) ◽  
pp. 294-301 ◽  
Author(s):  
S. Brahma ◽  
R. Kavasseri ◽  
H. Cao ◽  
N. R. Chaudhuri ◽  
T. Alexopoulos ◽  
...  

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