14 research outputs found

    Long-term Impacts of Energy Storage Providing Regulation on Power Plant Retirements and System Emissions

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    Energy storage can provide a variety of economic and reliability benefits to the grid; however, the overall environmental impacts of storage are not always positive, as some studies have shown. In this paper, we explore the long-term impacts of using storage to provide frequency regulation. Specifically, using an optimization model that co-optimizes unit commitment, energy, and regulation capacity, we explore the effect of increasing penetrations of regulation-providing storage on dispatch, prices, profit, retirements, and long-term system-wide CO2 emissions. We also investigate how the impacts change when retired generators are replaced by renewables. We find that storage can lead to increases or decreases in emissions, depending on system parameters and whether renewables replace retired capacity. Additionally, we find that long-term impacts can be in different directions than short-term impacts. This points to the need for new mechanisms to ensure desired environmental outcomes are achieved when using so-called "green" technologies

    Water, Energy Use, and Drought: An Examination of the Cooling Systems Used by Natural Gas Power Plants

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    Honors (Bachelor's)EconomicsUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/134722/1/jessebu.pd

    Learning From and About Others: Towards Using Imitation to Bootstrap the Social Understanding of Others by Robots

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    We want to build robots capable of rich social interactions with humans, including natural communication and cooperation. This work explores how imitation as a social learning and teaching process may be applied to building socially intelligent robots, and summarizes our progress toward building a robot capable of learning how to imitate facial expressions from simple imitative games played with a human, using biologically inspired mechanisms. It is possible for the robot to bootstrap from this imitative ability to infer the affective reaction of the human with whom it interacts and then use this affective assessment to guide its subsequent behavior. Our approach is heavily influenced by the ways human infants learn to communicate with their caregivers and come to understand the actions and expressive behavior of others in intentional and motivational terms. Specifically, our approach is guided by the hypothesis that imitative interactions between infant and caregiver, starting with facial mimicry, are a significant steppingstone to develop appropriate social behavior, to predict other’s actions, and ultimately to understand people as social beings.
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