S
Sara Budinis
Researcher at Imperial College London
Publications - 14
Citations - 385
Sara Budinis is an academic researcher from Imperial College London. The author has contributed to research in topics: Carbon capture and storage & Gas compressor. The author has an hindex of 5, co-authored 14 publications receiving 206 citations.
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An assessment of CCS costs, barriers and potential
TL;DR: In this article, the authors identify and review the barriers to CCS development, with a focus on recent cost estimates, and assess the potential of CCS to enable access to fossil fuels without causing dangerous levels of climate change.
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Long-term development of the industrial sector – Case study about electrification, fuel switching, and CCS in the USA
Sandro Luh,Sandro Luh,Sara Budinis,Sara Giarola,Thomas J. Schmidt,Thomas J. Schmidt,Adam Hawkes +6 more
TL;DR: Overall, fuel switching, industrial electrification, and CCS adoption as single measures have a limited decarbonization impact, compared to an integrated approach that implements all the measures together providing a much more attractive solution for CO2 mitigation.
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Control of centrifugal compressors via model predictive control for enhanced oil recovery applications
Sara Budinis,Nina F. Thornhill +1 more
TL;DR: In this article, a control system for integrated pressure and surge control of centrifugal compressors for enhanced oil recovery application is proposed based on linear model predictive control, which is able to meet the process demand while preventing surge and also minimizing the amount of gas recycle.
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Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India's industry sector.
TL;DR: Results show how the differing upfront investment cost of the technology options could cause prevalence of high-carbon fuels, particularly heavy fuel oil, in the final mix and represent the unique heterogeneity of fuel-switching industrial investors with distinct investment goals and limited foresight on costs.
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An agent-based modelling approach to simulate the investment decision of industrial enterprises
TL;DR: In this article, the authors proposed an agent-based modeling framework to model the Chinese ammonia industry as it characterises the specific goals and barriers towards fuel switching and carbon capture and storage adoption for small, medium, and large enterprises either private or state-owned.