Co-optimization to Integrate Power System Reliability Decisions with Resiliency Decisions.
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A switch for coupling a first ion manipulation device to a second ion manipulation device comprises a first surface and a second surface, at least one first electrode coupled to each of the first and second surface and configured to receive a first voltage and generate a first potential, and at least one second electrode coupled to each of the first and second surface and configured to receive a second voltage and generate a second potential, wherein the first potential inhibits the motion of ions along a first direction and the second potential inhibits the motion of ions along a second direction different from the first direction.
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A downhole inspection system includes a neutron imaging device operable to generate data for detecting potential wellbore anomalies and an electromagnetic imaging device operable to generate data for detecting potential wellbore eccentricity. The neutron imaging device includes a neutron generator operable to emit neutrons, and a neutron detector fixed relative to the neutron generation unit and operable to detect backscattered neutrons from a surrounding environment. The electromagnetic imaging device includes at least one transmitter for generating electromagnetic pulse, and at least one receiver for detecting returning electromagnetic pulse. Correlation of the neutron imaging data with the electromagnetic imaging data provides additional data regarding the potential wellbore anomalies.
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Agent-based models (ABMs) simulate activity and travel decisions at the disaggregate level of households, and individuals. To do this, ABMs require detailed information pertaining to socioeconomic and demographic characteristics of individuals. Various synthetic population generators (SPGs) have been proposed to address this need. However, most of the SPGs currently in practice are cross-sectional in nature, and do not account for the interrelationships among household's or individual's life progression. This is a major shortcoming of SPGs as literature has shown that transportation decisions are impacted by lifecycle events that unfold over a span of time. While some demographic evolution simulators have been proposed to address this shortcoming, they: i) are developed using cross-sectional data, ii) do not capture the full spectrum of lifecycle events and their interdependency. Overcoming these drawbacks, this paper proposes a Demographic Microsimulator (DEMOS) which captures the 'continuum of life' by accounting for a range of household-, and individual-level lifecycle events. DEMOS is developed using the Panel Survey of Income Dynamics, which is one of the world's longest running longitudinal surveys. DEMOS sub-models consider key lifecycle events which are influenced by a host of demographic variables. The whole framework is applied to evolve the population of San Francisco Bay Area over a 9-year horizon. Results indicate that the household and individual evolution are tightly connected, and that the structural framework (i.e., model sequencing) is a key element in capturing the population trend accurately.
The presentation was delivered at the 2022 American Institute of Chemical Engineers (AIChE) annual meeting.
ARIES is the nation's most advanced research platform to support the transition to a clean energy future. This presentation, part of the PEGI Industry Workshop, 24-25 May 2023, discusses ARIES.
The US Department of Energy (DOE) is responsible for risk reduction and cleanup of its nuclear weapons complex. Remediation strategies for some of the existing contamination use techniques that mitigate risk, but leave contaminants in place. Monitoring to verify remedy performance and long-term mitigation of risk is a key element for implementing these strategies and can be a large portion of the total cost of remedy implementation. Especially in these situations, there is a need for innovative monitoring approaches that move away from the cost and labor intensive point-source monitoring. A systems-based approach to monitoring design focuses monitoring on controlling features and processes to enable effective interpretation of remedy performance. (authors)
The presentation highlights the market analysis capabilities, both price-taker analysis and the novel market surrogate models approach, applied to optimal design of electricity and hydrogen co-production systems. The research findings were presented at the 2023 AIChE Annual Meeting.
This presentation covers IES modeling and simulation tools, with a specific focus on how physical modeling is linked to technoeconomic analysis.