Modeling & Optimization of a Renewable Energy Supply Chain with a Focus on Energy Storage
Abstract
The demand for energy has grown and will continue to grow due to factors such as climate change
and population growth. As climate change fuels the need for higher energy usage, this demand for
energy will be met, in part, with fossil fuels, which would continue the cycle. In order to both meet
energy demands and mitigate the effects of climate change, renewable energy technologies must
be used to generate a greater amount of energy. Unfortunately, wind and solar energy, in particular,
are intermittent sources of energy, and they are not able to provide energy when the sun is not
shining, or when the wind is not blowing. Moreover, these renewable energy sources risk the
possibility of over-generation when they are available, so other sources of energy must be cut
during this time, resulting in the Duck Curve. To address both problems, energy storage can be
used to store energy from renewable energy sources when there is excess energy to use later when
these sources of renewable energy are no longer available. This paper examines a renewable
energy system with the intent to integrate an energy storage system using available energy storage
technologies. The goal is to design and optimize an energy storage system for the renewable energy
storage system with the focus on cost and environmental impact minimization.
Citation
Sneezer, Sherralyn (2021). Modeling & Optimization of a Renewable Energy Supply Chain with a Focus on Energy Storage. Master's thesis, Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /195151.
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