Name
Title | ||
|---|---|---|
A novel MINLP-based representation of the original complex model for predicting gasoline emissions |
Abstract | ||
|---|---|---|
The Environmental Protection Agency (EPA) introduced Reformulated Gasoline (RFG) requirements as a measure to reduce emissions from gasoline-powered vehicles in certain geographic areas. As part of this effort, the EPA developed empirical models for predicting emissions as a function of gasoline properties and established statutory baseline emissions from a representative set of gasolines. All reformulated gasoline requires certification via this model, known as the Complex Model, and all refiners and importers calculate emissions performance reductions from the statutory baseline gasoline. The current representation of the Complex Model is extremely difficult to implement within refinery operations models or to use in combination with models for designer gasoline. RFG and boutique fuels are key driving forces in the North American refining industry. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.compchemeng.2008.02.002 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Reformulated gasoline,Mixed-integer nonlinear programming,Generalized disjunctive programming | Empirical modelling,Gasoline,Mathematical optimization,Disjunctive programming,Nonlinear programming,Operations research,Refinery,Certification,Mathematics | Journal |
Volume | Issue | ISSN |
32 | 12 | 0098-1354 |
Citations | PageRank | References |
5 | 0.48 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin C. Furman | 1 | 169 | 9.25 |
| Ioannis P. Androulakis | 2 | 87 | 9.42 |