Behind-the-Meter Compressed Air Energy Storage Feasibility and Applications
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Date
2019-05-30
Authors
Anierobi, Chioma Christiana
Advisor
Canizares, Claudio
Bhattacharya, Kankar
Bhattacharya, Kankar
Journal Title
Journal ISSN
Volume Title
Publisher
University of Waterloo
Abstract
In many jurisdictions, commercial and industrial (C&I) customers are charged for their
energy consumption as well as the power drawn from the grid at peak load hours. In
Ontario, the demand-based charge component of the electricity cost has been skyrocketing, and this cost often accounts for a significant portion of the overall operating cost of
large customers. The Ontario Government in 2010 launched the Industrial Conservation
Initiative (ICI) program which requires large customers (Class A) to pay a Global Adjustment (GA) charge, based on their percentage contribution in load during the top five
system peak load hours over a one-year base period. This offers enormous savings opportunity to many industrial customers by using strategies to reduce or offset their load during
these system peak load hours. However, managing demand can be challenging when faced
with production constraints in areas of high-energy sensitive production lines where short
interruptions are not permitted. Energy Storage System (ESS) offers the customer the capability to carry out its usual operations while simultaneously saving on the electricity bill
through demand reduction. ESS can provide electricity to the facility during system peak
periods to reduce the power drawn from the grid, while during non-peak price periods, the
ESS is recharged by harnessing the low-cost power.
In this work, a detailed operations model of behind-the-meter Small Scale Compressed
Air Energy Storage (SS-CAES) is developed for an industrial customer, with an existing
well/cavern that can be re-purposed for air storage. The developed optimization model
manages the operation of the CAES facility to minimize electricity costs, determining the
storage energy output and the corresponding charging and discharging decisions of the
SS-CAES system. Furthermore, a detailed economic analysis is carried out to examine
financial viability of a practical behind-the-meter SS-CAES project. Some key parameters
such as life cycle, CAES capacity and capital cost, and electricity price are considered for
carrying out a sensitivity analysis, and the results suggest that SS-CAES is economically
viable in the current Ontario rate structure. It is shown that the cost of an SS-CAES
project and GA charges are the key determining factors for economic deployment of SS-CAES in Ontario.