Matches in SemOpenAlex for { <https://semopenalex.org/work/W3122378462> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W3122378462 endingPage "100048" @default.
- W3122378462 startingPage "100048" @default.
- W3122378462 abstract "A data-driven surrogate model is proposed for a 64-cell air-cooled condenser system at a power plant. The surrogate model was developed using thermofluid simulation data from an existing detailed 1-D thermofluid network simulation model. The thermofluid network model requires a minimum of 20 min to solve for a single set of inputs. With operating conditions fluctuating constantly, performance predictions are required in shorter intervals, leading to the development of a surrogate model. Simulation data covered three operating scopes across a range of ambient air temperatures, inlet steam mass flow rates, number of operating cells, and wind speeds. The surrogate model uses multi-layer perceptron deep neural networks in the form of a binary classifier network to avoid extrapolation from the simulation dataset, and a regression network to provide performance predictions, including the steady-state backpressure, heat rejections, air mass flowrates, and fan motor powers on a system level. The integrated surrogate model had an average relative error of 0.3% on the test set, while the binary classifier had a 99.85% classification accuracy, indicating sufficient generalisation. The surrogate model was validated using site-data covering 10 days of operation for the case-study ACC system, providing backpressure predictions for all 1967 input samples within a few seconds of compute time. Approximately 93.5% of backpressure predictions were within ±6% of the recorded backpressures, indicating sufficient accuracy of the surrogate model with a significant decrease in compute time." @default.
- W3122378462 created "2021-02-01" @default.
- W3122378462 creator A5064265299 @default.
- W3122378462 creator A5087735707 @default.
- W3122378462 date "2021-03-01" @default.
- W3122378462 modified "2023-10-05" @default.
- W3122378462 title "Application of machine learning to develop a real-time air-cooled condenser monitoring platform using thermofluid simulation data" @default.
- W3122378462 cites W1498436455 @default.
- W3122378462 cites W1971100195 @default.
- W3122378462 cites W2050675886 @default.
- W3122378462 cites W2766057087 @default.
- W3122378462 cites W3018944197 @default.
- W3122378462 cites W3088520368 @default.
- W3122378462 cites W4249517230 @default.
- W3122378462 cites W773708601 @default.
- W3122378462 doi "https://doi.org/10.1016/j.egyai.2021.100048" @default.
- W3122378462 hasPublicationYear "2021" @default.
- W3122378462 type Work @default.
- W3122378462 sameAs 3122378462 @default.
- W3122378462 citedByCount "7" @default.
- W3122378462 countsByYear W31223784622021 @default.
- W3122378462 countsByYear W31223784622022 @default.
- W3122378462 countsByYear W31223784622023 @default.
- W3122378462 crossrefType "journal-article" @default.
- W3122378462 hasAuthorship W3122378462A5064265299 @default.
- W3122378462 hasAuthorship W3122378462A5087735707 @default.
- W3122378462 hasBestOaLocation W31223784621 @default.
- W3122378462 hasConcept C105795698 @default.
- W3122378462 hasConcept C119857082 @default.
- W3122378462 hasConcept C120665830 @default.
- W3122378462 hasConcept C121332964 @default.
- W3122378462 hasConcept C131675550 @default.
- W3122378462 hasConcept C132459708 @default.
- W3122378462 hasConcept C154945302 @default.
- W3122378462 hasConcept C2780934509 @default.
- W3122378462 hasConcept C2982854487 @default.
- W3122378462 hasConcept C33923547 @default.
- W3122378462 hasConcept C41008148 @default.
- W3122378462 hasConcept C44154836 @default.
- W3122378462 hasConcept C50644808 @default.
- W3122378462 hasConcept C60908668 @default.
- W3122378462 hasConceptScore W3122378462C105795698 @default.
- W3122378462 hasConceptScore W3122378462C119857082 @default.
- W3122378462 hasConceptScore W3122378462C120665830 @default.
- W3122378462 hasConceptScore W3122378462C121332964 @default.
- W3122378462 hasConceptScore W3122378462C131675550 @default.
- W3122378462 hasConceptScore W3122378462C132459708 @default.
- W3122378462 hasConceptScore W3122378462C154945302 @default.
- W3122378462 hasConceptScore W3122378462C2780934509 @default.
- W3122378462 hasConceptScore W3122378462C2982854487 @default.
- W3122378462 hasConceptScore W3122378462C33923547 @default.
- W3122378462 hasConceptScore W3122378462C41008148 @default.
- W3122378462 hasConceptScore W3122378462C44154836 @default.
- W3122378462 hasConceptScore W3122378462C50644808 @default.
- W3122378462 hasConceptScore W3122378462C60908668 @default.
- W3122378462 hasLocation W31223784621 @default.
- W3122378462 hasLocation W31223784622 @default.
- W3122378462 hasOpenAccess W3122378462 @default.
- W3122378462 hasPrimaryLocation W31223784621 @default.
- W3122378462 hasRelatedWork W1501774291 @default.
- W3122378462 hasRelatedWork W1584831696 @default.
- W3122378462 hasRelatedWork W1965559057 @default.
- W3122378462 hasRelatedWork W2000406627 @default.
- W3122378462 hasRelatedWork W2008296463 @default.
- W3122378462 hasRelatedWork W2012884882 @default.
- W3122378462 hasRelatedWork W2072669566 @default.
- W3122378462 hasRelatedWork W2075641003 @default.
- W3122378462 hasRelatedWork W2089686343 @default.
- W3122378462 hasRelatedWork W2386387936 @default.
- W3122378462 hasVolume "3" @default.
- W3122378462 isParatext "false" @default.
- W3122378462 isRetracted "false" @default.
- W3122378462 magId "3122378462" @default.
- W3122378462 workType "article" @default.