Crushed rock thermal energy storage & nuclear technology : option space & economic impacts

Increasing amounts of intermittent renewables have led to zero and negative priced electricity at times of peak wind and solar production. The volatility added to the grid by renewables and low prices at peak production create a demand for flexible energy supply and present an opportunity for energy arbitrage. Nuclear reactors in the United States are inflexible when compared to fossil generators, and batteries may store energy at peak renewable production, albeit at a high capital cost. Thermal energy storage coupled to nuclear reactors may both increase nuclear flexibility and capitalize on price volatility, benefitting the economics for the struggling nuclear industry. This research maps the option space for constructing a crushed rock thermal energy storage (TES) system coupled to a light water reactor and employs a modification of the GenX capacity expansion model to evaluate the economic. Historic demand and renewable resource availability from ERCOT were used to illustrate the benefit of crushed rock TES with an increasingly restrictive CO₂ emission constraint. Parametric variations were used to address uncertainty in performance estimates. Crushed rock TES was found to be beneficial under favorable conditions, reducing the average price of electricity from $81/kWh (without TES) to $73/kWh (with TES) at a system marginal cost of $5/kWh-heat and emissions constraint of 100 g CO₂/kWh-electric, a nearly 10X reduction of current emissions. Unfavorable conditions resulted in a price reduction from $81/kWh to $78/kWh with the same cost estimates and carbon constraint. The investment cost of enabling the ability for nuclear generation to couple to crushed rock TES was also found to significantly affect the system's favorability and effect on electricity prices.

Department dc:contributor.department

Massachusetts Institute of Technology. Institute for Data, Systems, and Society.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• McLauchlan, Nathaniel Ross

Advisor dc:contributor.advisor

• Charles W. Forsberg.

• Institute for Data, Systems, and Society.
• Engineering Systems Division.
• Technology and Policy Program.
• Nuclear Science and Engineering.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/117794

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/117794