Published November 1, 2016 | Version v1
Journal article

Energy infrastructure modeling for the oil sands industry: Current situation

  • 1. Department of Chemical Engineering, University of Waterloo, 200 University Ave. West, Waterloo, Ontario N2L 3G1 (Canada)
  • 2. Department of Energy, Politecnico di Milano, Via Lambruschini 4, Milano 20156 (Italy)

Description

Highlights: • A simulation-based modelling of energy demands of oil sands operations is proposed. • Aspen simulations used to simulate delayed coking-based upgrading of bitumen. • The energy infrastructure is simulated using Aspen Plus achieving self-sufficiency. • Various scenarios affecting energy demand intensities are investigated. • Energy and CO2 emission intensities of integrated SAGD/upgrading are estimated. - Abstract: In this study, the total energy requirements associated with the production of bitumen from oil sands and its upgrading to synthetic crude oil (SCO) are modeled and quantified. The production scheme considered is based on the commercially applied steam assisted gravity drainage (SAGD) for bitumen extraction and delayed coking for bitumen upgrading. In addition, the model quantifies the greenhouse gas (GHG) emissions associated with the production of energy required for these operations from technologies utilized in the currently existing oil sands energy infrastructure. The model is based on fundamental engineering principles, and Aspen HYSYS and Aspen Plus simulations. The energy demand results are expressed in terms of heat, power, hydrogen, and process fuel consumption rates for SAGD extraction and bitumen upgrading. Based on the model's output, a range of overall energy and emission intensity factors are estimated for a bitumen production rate of 112,500 BPD (or 93,272 BPD of SCO), which were determined to be 262.5–368.5 MJ/GJSCO and 14.17–19.84 gCO2/MJSCO, respectively. The results of the model indicate that the majority of GHG emissions are generated during SAGD extraction (up to 60% of total emissions) due to the combustion of natural gas for steam production, and the steam-to-oil ratio is a major parameter affecting total GHG emissions. The developed model can be utilized as a tool to predict the energy demand requirements for integrated SAGD/upgrading projects under different operating conditions, and provides guidance on the feasibility of lowering GHG emissions associated with their operation.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apenergy.2016.08.072

Additional details

Identifiers

DOI
10.1016/j.apenergy.2016.08.072;
PII
S0306-2619(16)31160-6;

Publishing Information

Journal Title
Applied Energy
Journal Volume
181
Journal Page Range
p. 435-445
ISSN
0306-2619
CODEN
APENDX

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.