Dr. Madeleine McPherson
Position
Contact
Credentials
BASc (U of T), MEL (UBC), PhD (U of T)
Area of expertise
Variable renewable energy integration, energy systems integration, systems modelling and design
Dr. Madeleine McPherson is an Associate Professor in the department of Civil Engineering at the 番茄社区 and the principal investigator of the . McPherson and her team are developing a platform to explore electrification and energy systems integration to co-create decarbonization pathways. Dr. McPherson serves as an Executive Member on the , which is convening a national dialog between modelers and stakeholders around decarbonizing Canada’s energy system
Background
- Associate Professor, Department of Civil Engineering, 番茄社区 (2018-present)
- Postdoctoral Research Fellow, National Renewable Energy Laboratory (2017-2018)
PhD , Civil Engineering, University of Toronto (2013-2017)- Masters, Clean Energy Engineering, University of British Columbia (2009-2010)
- Bachelor of Applied Science in Engineering Science, University of Toronto (2009)
Research
I lead the at the 番茄社区. Our group research focuses on energy systems integration – the process of coordinating the operation and planning of our energy systems over a variety of spatial-temporal scales and infrastructure systems (transport, buildings, electricity, water). This work involves the development and application of energy system software, designed to address research and policy questions related to variable renewable energy integration, demand response initiatives, utility-scale and behind-the-meter storage technologies, and electric vehicle integration. We use a range of approaches including optimization and machine intelligence techniques to gain insights into the sustainable energy system transformation. My research interests include:
- Representing grid-edge actors and their interaction with the energy system
- Integrating the transport, power, buildings and water systems
- Developing a spatially and temporally broad perspective of our energy system
Charting Canada’s transition to a decarbonized energy system
In this project, we will build a credible blueprint to achieve Canada’s Paris commitment and Pan-Canadian Framework goals. To do so, two distinct but commonly used modelling approaches will be applied to gain deeper insights into Canada’s energy system transition. The capacity expansion model CREST, with its broad spatial and temporal perspective, will facilitate a National dialogue on electricity system planning. Next, the production cost model SILVER, which represents the electricity system with greater temporal resolution, will validate the operability of the proposed electricity system configuration. This two-step modelling methodology combines the spatial breadth of CREST with the temporal resolution of SILVER to build a credible pathway to decarbonizing our energy system.
100% renewable cities
Cities offer a tractable opportunity for renewable-based climate change mitigation but face distinct challenges depending on their local economy, resources, and political climate. In sub-Saharan Africa where 65% of the population lacks access to electricity, novel solutions that do not depend on centralized infrastructure are necessary to facilitate electricity access for the bottom billion. In North America, over 50 cities are sidestepping provincial and federal climate change policy gridlock by developing renewable city commitments. This project will adapt the SILVER model to the city-scale, to explore the feasibility of moving Regina to a 100% renewable city.
Please see my for more information on our current projects, publications, and open positions. contains more information on my publications.
Teaching
- CIVE315 Environmental Policy (Spring 2018)
- CIVE480C Energy Systems Decarbonization (Summer 2019)
Recruitment
I am always looking for talented and motivated graduate students and postdoctoral researchers. Applications are welcome from candidates with a background in environmental, civil, electrical, or mechanical engineering as well as computer science and other related areas. Funding is available for MASc and