Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Loren dela Rosa"'
Publikováno v:
ACC
A scenario-based optimization approach is proposed to design gasoline blending recipes under uncertainty. The proposed scheme considers the nonlinear mixing law of octane, uses Monte Carlo sampling-based method to simulate parametric uncertainties, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79aea5c4b48b8dcb5a67ce4dd2ac99c0
https://doi.org/10.23919/acc45564.2020.9147865
https://doi.org/10.23919/acc45564.2020.9147865
Autor:
Yu Yang, Loren dela Rosa
Publikováno v:
2019 IEEE Green Energy and Smart Systems Conference (IGESSC).
A scenario-based optimization approach is proposed to design a robust gasoline blending recipe under uncertainties. The proposed scheme considers the nonlinear behavior of blended octane, Monte Carlo simulation to generate a number of scenarios, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::463a3ffa0ae5f37f9b6a8af9bd10be93
https://doi.org/10.1109/igessc47875.2019.9042383
https://doi.org/10.1109/igessc47875.2019.9042383