Energy optimization of the Canadian oil sands industry

M. Elsholkami; A. Betancourt; Ali ElKamel; A. Almansoori; S. Aladwani; C. Madhuranthakam

Energy optimization of the Canadian oil sands industry

M. Elsholkami
, A. Betancourt
, Ali ElKamel
, A. Almansoori
, S. Aladwani
, C. Madhuranthakam

Chemical and Petroleum Engineering

University of Waterloo
Kuwait University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The aim of this paper is to present a combined energy optimization model for the Canadian Oil Sands industry operations. The model estimates the most suitable oil producers (energy demanders) along with the required energy frame (energy suppliers) that minimize the Oil Sands energy costs. The present model was used to project the Oil Sands operation into the years 2030 and 2040. The results show that the model is a practical tool to study the Oil Sands operations in terms of energy costs, future production scenarios, key techno-economic parameters, and uncertainty.

Original language	British English
Title of host publication	Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015 - 2015 Spring Simulation Multi-Conference, SpringSim 2015
Editors	Saurabh Mittal, Eugene Syriani, Il-Chul Moon
Pages	152-158
Number of pages	7
Edition	10
State	Published - 2015
Event	47th Summer Computer Simulation Conference, SCSC 2015, Part of the 2015 Summer Simulation Multi-Conference, SummerSim 2015 - Chicago, United States Duration: 26 Jul 2015 → 29 Jul 2015

Publication series

Name	Simulation Series
Number	10
Volume	47
ISSN (Print)	0735-9276

Conference

Conference	47th Summer Computer Simulation Conference, SCSC 2015, Part of the 2015 Summer Simulation Multi-Conference, SummerSim 2015
Country/Territory	United States
City	Chicago
Period	26/07/15 → 29/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation
SDG 9 Industry, Innovation, and Infrastructure

Keywords

Canadian oil sands industry
Carbon and water management
Energy integration
Optimization

OpenUrl availability

Full text

Cite this

Elsholkami, M., Betancourt, A., ElKamel, A., Almansoori, A., Aladwani, S., & Madhuranthakam, C. (2015). Energy optimization of the Canadian oil sands industry. In S. Mittal, E. Syriani, & I.-C. Moon (Eds.), Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015 - 2015 Spring Simulation Multi-Conference, SpringSim 2015 (10 ed., pp. 152-158). (Simulation Series; Vol. 47, No. 10).

Elsholkami, M. ; Betancourt, A. ; ElKamel, Ali et al. / Energy optimization of the Canadian oil sands industry. Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015 - 2015 Spring Simulation Multi-Conference, SpringSim 2015. editor / Saurabh Mittal ; Eugene Syriani ; Il-Chul Moon. 10. ed. 2015. pp. 152-158 (Simulation Series; 10).

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title = "Energy optimization of the Canadian oil sands industry",

abstract = "The aim of this paper is to present a combined energy optimization model for the Canadian Oil Sands industry operations. The model estimates the most suitable oil producers (energy demanders) along with the required energy frame (energy suppliers) that minimize the Oil Sands energy costs. The present model was used to project the Oil Sands operation into the years 2030 and 2040. The results show that the model is a practical tool to study the Oil Sands operations in terms of energy costs, future production scenarios, key techno-economic parameters, and uncertainty.",

keywords = "Canadian oil sands industry, Carbon and water management, Energy integration, Optimization",

author = "M. Elsholkami and A. Betancourt and Ali ElKamel and A. Almansoori and S. Aladwani and C. Madhuranthakam",

note = "Publisher Copyright: {\textcopyright} 2015 Society for Modeling \& Simulation International (SCS).; 47th Summer Computer Simulation Conference, SCSC 2015, Part of the 2015 Summer Simulation Multi-Conference, SummerSim 2015 ; Conference date: 26-07-2015 Through 29-07-2015",

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Elsholkami, M, Betancourt, A, ElKamel, A, Almansoori, A, Aladwani, S & Madhuranthakam, C 2015, Energy optimization of the Canadian oil sands industry. in S Mittal, E Syriani & I-C Moon (eds), Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015 - 2015 Spring Simulation Multi-Conference, SpringSim 2015. 10 edn, Simulation Series, no. 10, vol. 47, pp. 152-158, 47th Summer Computer Simulation Conference, SCSC 2015, Part of the 2015 Summer Simulation Multi-Conference, SummerSim 2015, Chicago, United States, 26/07/15.

Energy optimization of the Canadian oil sands industry. / Elsholkami, M.; Betancourt, A.; ElKamel, Ali et al.
Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015 - 2015 Spring Simulation Multi-Conference, SpringSim 2015. ed. / Saurabh Mittal; Eugene Syriani; Il-Chul Moon. 10. ed. 2015. p. 152-158 (Simulation Series; Vol. 47, No. 10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Energy optimization of the Canadian oil sands industry

AU - Elsholkami, M.

AU - Betancourt, A.

AU - ElKamel, Ali

AU - Almansoori, A.

AU - Aladwani, S.

AU - Madhuranthakam, C.

PY - 2015

Y1 - 2015

N2 - The aim of this paper is to present a combined energy optimization model for the Canadian Oil Sands industry operations. The model estimates the most suitable oil producers (energy demanders) along with the required energy frame (energy suppliers) that minimize the Oil Sands energy costs. The present model was used to project the Oil Sands operation into the years 2030 and 2040. The results show that the model is a practical tool to study the Oil Sands operations in terms of energy costs, future production scenarios, key techno-economic parameters, and uncertainty.

AB - The aim of this paper is to present a combined energy optimization model for the Canadian Oil Sands industry operations. The model estimates the most suitable oil producers (energy demanders) along with the required energy frame (energy suppliers) that minimize the Oil Sands energy costs. The present model was used to project the Oil Sands operation into the years 2030 and 2040. The results show that the model is a practical tool to study the Oil Sands operations in terms of energy costs, future production scenarios, key techno-economic parameters, and uncertainty.

KW - Canadian oil sands industry

KW - Carbon and water management

KW - Energy integration

KW - Optimization

UR - https://www.scopus.com/pages/publications/84954183196

M3 - Conference contribution

AN - SCOPUS:84954183196

SN - 9781510810594

T3 - Simulation Series

SP - 152

EP - 158

BT - Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015 - 2015 Spring Simulation Multi-Conference, SpringSim 2015

A2 - Mittal, Saurabh

A2 - Syriani, Eugene

A2 - Moon, Il-Chul

T2 - 47th Summer Computer Simulation Conference, SCSC 2015, Part of the 2015 Summer Simulation Multi-Conference, SummerSim 2015

Y2 - 26 July 2015 through 29 July 2015

ER -

Elsholkami M, Betancourt A, ElKamel A, Almansoori A, Aladwani S, Madhuranthakam C. Energy optimization of the Canadian oil sands industry. In Mittal S, Syriani E, Moon IC, editors, Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015 - 2015 Spring Simulation Multi-Conference, SpringSim 2015. 10 ed. 2015. p. 152-158. (Simulation Series; 10).

Energy optimization of the Canadian oil sands industry

Abstract

Publication series

Conference

UN SDGs

Keywords

OpenUrl availability

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