Investigating the trade-off between operating revenue and CO2 emissions from crude oil distillation using a blend of two crudes
| Autor: | Gade Pandu Rangaiah, Nicholas E Smith, Andrew Hoadley, Mohmmad Al-Mayyahi |
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| Rok vydání: | 2011 |
| Předmět: |
Waste management
General Chemical Engineering Organic Chemistry Oil refinery Energy Engineering and Power Technology Fraction (chemistry) Raw material law.invention chemistry.chemical_compound Fuel Technology chemistry law Heat recovery ventilation Heat exchanger Pinch analysis Environmental science Petroleum Distillation |
| Zdroj: | Fuel. 90:3577-3585 |
| ISSN: | 0016-2361 |
| DOI: | 10.1016/j.fuel.2010.12.043 |
| Popis: | Blending of different crude types is frequently used in petroleum refineries to improve their profitability and products yields. However, energy consumption and consequential CO 2 emissions strongly depend on the types of crude being processed. The trade-off between CO 2 emissions and economic objectives, such as net revenue, is investigated for cases of different crude blends using the multi-objective optimization approach. The first objective is the minimization of CO 2 emissions whilst the second objective is maximizing the net revenue from the crude distillation unit (CDU). A rigorous model is used to estimate CO 2 emissions from different sources within the CDU. This emissions model incorporates pinch analysis for heat integration, to optimize the distribution of utilities related to emissions. Blends of two crudes, 36 API and 27.7 API, are used as feedstock to a rigorous CDU model of the atmospheric crude tower, vacuum tower and heat exchanger network. Lighter crude blends recorded higher CO 2 emissions and net revenue compared with the heavier blend due to the greater distilled fraction. However, CO 2 emissions did not vary linearly with the fraction of each crude, as the heat exchanger network also influenced the degree of heat recovery and consequently the level of CO 2 emissions. The multi-objective solutions show the influence of all 13 of the process variables on the objectives. |
| Databáze: | OpenAIRE |
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