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Published in 2018 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2017.09.183
Abstract: Abstract Heat is a major contributor to total energy demand of process industries. Therefore, integrating solar heat into processes is a suitable alternative for fossil fuels. However, there are several challenges in design and optimization…
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Keywords:
storage;
heat storage;
process industries;
heat integration ... See more keywords
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Published in 2021 at "Technovation"
DOI: 10.1016/j.technovation.2020.102211
Abstract: Abstract The digital wave of change had an unprecedented effect on the competitiveness of the global value chain, whereby the process industries are not an exception. Although they are often regarded as laggards in the…
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Keywords:
digitalization;
leaders laggards;
process;
laggards towards ... See more keywords
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Published in 2019 at "Journal of Manufacturing Technology Management"
DOI: 10.1108/jmtm-10-2018-0361
Abstract: Purpose The purpose of this paper is to present an approach to incorporating mobility into continuous manufacturing following the advent of Industry 4.0 (I4.0). Design/methodology/approach The investigation is based on a year-long canonical action research…
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Keywords:
mobility;
paper;
industry;
process industries ... See more keywords
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Published in 2024 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2024.124227
Abstract: This survey paper provides a review and perspective on intermediate and advanced reinforcement learning (RL) techniques in process industries. It offers a holistic approach by covering all levels of the process control hierarchy. The survey…
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Keywords:
process;
process industries;
control;
review perspective ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3550875
Abstract: The echo state Gaussian process (ESGP) is an efficient method for modeling dynamical systems and has been successfully employed in soft sensor modeling within the process industry. However, the ESGP operates as a supervised learner,…
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Keywords:
process;
gaussian process;
semi supervised;
sensor modeling ... See more keywords
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Published in 2023 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2023.1038060
Abstract: To ensure safe and efficient operation, operators in process industries have to make timely decisions based on time-varying information. A holistic assessment of operators’ performance is, therefore, challenging. Current approaches to operator performance assessment are…
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Keywords:
digital twin;
operators performance;
human digital;
process industries ... See more keywords