Engineering software systems for improving the operational efficiency of oil pipeline networks and decreasing their carbon footprint
Download as PPT, PDF0 likes46 views
The document discusses a project aimed at developing intelligent software systems to enhance the operational efficiency of oil pipeline networks and reduce their carbon footprint. It highlights the significant energy losses and CO2 emissions in pipeline operations due to outdated decision-making processes and inefficient software systems. Supported by funding from Alberta Innovates, the project seeks to create optimization algorithms and improve system interoperability for better energy management in oil transportation.
![5Vahid Garousi, 2006-2012
Motivations
What is the need for these software systems?
There are 100,000+ KM of
oil pipelines only in the
North America
These systems are fully
controlled by software-
intensive control systems
Ironically, most pipeline
operators STILL use error-
pone and human-intensive
approaches, e.g.
copy/pasting data and
calculating the operational
settings in Excel
[as per our meetings with 10+
industrial leaders in the area]
The pipeline network map of one North American operator
Source: http://www.transcanada.com/investor/annual_reports/2008/progress_report/assets](https://image.slidesharecdn.com/vgearfwsrcc2010v3-180514134225/85/Engineering-software-systems-for-improving-the-operational-efficiency-of-oil-pipeline-networks-and-decreasing-their-carbon-footprint-5-320.jpg)
![6Vahid Garousi, 2006-2012
Motivations
Although various software systems
are successfully being used in
these systems, e.g.,
SCADA (control and monitoring systems)
Pipeline hydraulics software
But most pipeline operators
complain about the lack of effective
software systems for optimum pump
operations
“Several efforts [contracts] to build
optimization software to optimize [reduce]
energy consumption of pumps have
failed!. One such system was using GAs.”
[as per our meetings with 10+ industrial
leaders in the area]
Most of the operational decisions
are still being made in ad-hoc
fashions based on operators’
experience, rule of the thumb, and
“gut feelings”](https://image.slidesharecdn.com/vgearfwsrcc2010v3-180514134225/85/Engineering-software-systems-for-improving-the-operational-efficiency-of-oil-pipeline-networks-and-decreasing-their-carbon-footprint-6-320.jpg)
Engineering software systems for improving the operational efficiency of oil pipeline networks and decreasing their carbon footprint
- 1. 1Vahid Garousi, 2006-2012 Engineering Software Systems for Improving the Operational Efficiency of Oil Pipeline Networks and Decreasing their Carbon Footprint Vahid Garousi, Ehsan Abbasi, Roshanak Farhoodi Software Quality Engineering Research Group (SoftQual) www.softqual.ucalgary.ca Department of Electrical and Computer Engineering University of Calgary, Canada A video presentation for the Second International Workshop on Software Research and Climate Change (WSRCC 2010) Cape Town, South Africa May 3, 2010, co-located with ICSE 2010 Richard Bauer, Allan Shea Pembina Pipelines Corporation www.pembina.com Calgary, Canada Thanks to funding and support from:
- 2. 2Vahid Garousi, 2006-2012 Lots of Carbon Footprint to Transport Oil Products (Public) data from one of our industrial partners, Pembina Pipelines (www.pembina.com)... In year 2008, Pembina Pipelines spent about $18.11 Million Canadian dollars on electricity costs almost all (98%) of which were spent on pumping. Average regional energy prices for electricity in Alberta: 7.99¢/kWh This would yield about 226.5 MWh for our industrial partner in year 2008. Assuming that only coal is used for electricity generation using an existing benchmark for calculation of carbon footprint in electricity generation this would lead to 182,460 tons of CO2 emissions annually. Provide the energy for Pembina Pipeline Corporation, 2008 Annual Report (public information) http://www.pembina.com/webcms.nsf/AllDoc/0A7E6DFB88C344B387257570007A5C3B/ $File/2008AnnualReport.pdf
- 3. 3Vahid Garousi, 2006-2012 Lots of Carbon Footprint to Transport Oil Products Our manual analysis of the SCADA log data have shown that a lot of energy is being lost due to the use of: ad-hoc operational decisions based on operators’ experience rule of the thumb, and “gut feelings” Valves are used quite often (just like pressing the Brake pedal in your car!) We are in the process of quantitatively measuring the % of energy lost due to this.
- 4. 4Vahid Garousi, 2006-2012 The work reported in this talk is conducted as a part of a R&D project in Alberta with the collaboration of academia and the petroleum industry. Funded by the Alberta Ingenuity (now, “Alberta Innovates”) Project title: Engineering Intelligent Software Systems for Improving the Operational Efficiency of Oil Pipeline Networks Our focus is on: Developing effective software systems to enable interoperability with existing systems, GIS, SCADA software, databases, etc. Developing optimization algorithms (MILP, GA, etc.) More info: http://www.ucalgary.ca/~vgarousi/proje ct-sw-energy.html Project Context A snapshot of our prototype tool (details coming)
- 5. 5Vahid Garousi, 2006-2012 Motivations What is the need for these software systems? There are 100,000+ KM of oil pipelines only in the North America These systems are fully controlled by software- intensive control systems Ironically, most pipeline operators STILL use error- pone and human-intensive approaches, e.g. copy/pasting data and calculating the operational settings in Excel [as per our meetings with 10+ industrial leaders in the area] The pipeline network map of one North American operator Source: http://www.transcanada.com/investor/annual_reports/2008/progress_report/assets
- 6. 6Vahid Garousi, 2006-2012 Motivations Although various software systems are successfully being used in these systems, e.g., SCADA (control and monitoring systems) Pipeline hydraulics software But most pipeline operators complain about the lack of effective software systems for optimum pump operations “Several efforts [contracts] to build optimization software to optimize [reduce] energy consumption of pumps have failed!. One such system was using GAs.” [as per our meetings with 10+ industrial leaders in the area] Most of the operational decisions are still being made in ad-hoc fashions based on operators’ experience, rule of the thumb, and “gut feelings”
- 7. 7Vahid Garousi, 2006-2012 Our ongoing Work Area: Engineering “Engineering Software” (a.k.a., Developing Scientific Software) Our multi-disciplinary team setting:
- 8. 8Vahid Garousi, 2006-2012 Our Progress So Far
- 9. 9Vahid Garousi, 2006-2012 The GIS Tool
- 10. 10Vahid Garousi, 2006-2012 Back-end Database
- 11. 11Vahid Garousi, 2006-2012 Simulator tool
- 12. 12Vahid Garousi, 2006-2012 Optimization Module
- 13. 13Vahid Garousi, 2006-2012 Optimization Module
- 14. 14Vahid Garousi, 2006-2012 Some Results from our Optimization Engine From http://tinyurl.com/pembina2009report-pdf Cost ($) 0 1,000 2,000 3,000 4,000 5,000 6,000 Taylor W illow Flats M cLeod PrinceGeorge Australian LacLaHache TOTAL Pump Stations Electricitycharge($)perHour Results from Lingo Actual operation (SCADA) Carbon Footprint 0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 Taylor W illow Flats M cLeod Prince George Australian LacLa Hache TOTAL Pump Stations CO2generated(KG/hour) Results from Lingo Actual operation (SCADA)
Editor's Notes
- #3: The optimization method that we have developed enables a win-win situation for both the environment and pipeline companies by, firstly, reducing the carbon footprint due to enormous electricity usage of pumping operations. Secondly, our method enables pipeline companies to reduce their pumping costs. Data from one of our industrial partners, Pembina Pipelines (www.pembina.com), an oil pipeline operator in Western Canada, can provide a perspective on how enormous the above measures can be. In year 2008, Pembina Pipelines spent about $18.11 Million Canadian dollars on electricity costs, almost all of which were spent on pumping [4]. To reversely calculate the amount of energy which has led to the above pumping cost, and using the average regional energy prices for electricity in Alberta (7.99¢/kWh) [5], one would get about 226.5 MWH for our industrial partner. We can then calculate the carbon footprint (emissions) produced to generate the above amount of electricity. Assuming that only coal is used for electricity generation, using an example benchmark for calculation of carbon footprint in electricity generation [6], this would lead to 182,460 tons of CO2 emissions annually.