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Comparing Hardening Options for Power Distribution Networks Considering Climate Change

Key project details

Principal investigator Amin Hammad, professor, Concordia University

Co-principal investigators

Osama Moselhi, professor, Concordia University; Mazdak Nik-Bakht, associate professor, Concordia University; Ali Nazemi, associate professor, Concordia University; Rebecca Dziedzic, assistant professor, Concordia University; Ali Bayat, professor, University of Alberta.

Research collaborators

Georges Abdul-Nour, lecturer, Université du Québec à Trois-Rivières; Diego Cerrai, assistant professor, University of Connecticut; Adriane MacDonald, associate professor, Concordia University; Christian Messier, professor, Université du Québec à Montréal; Hany El-Naggar, professor, Dalhousie University; Carly Ziter, assistant professor, Concordia University; Vincent Hébert-Garneau, product manager, Direxyon; Sadaf Gharaati, consultant in asset investment modeling, Direxyon; Terri Matthews, director, Town+Gown Center, NYC DCC; Alex Kent, director, Electricity Canada Association; Dominic Gauthier, head of Digital Transformation of the Energy System, Hydro Quebec; Chantale Germain, senior advisor, Strategic Planning, Hydro Quebec.
Non-academic collaborators Hydro-Quebec; Centre d'expertise et de recherche en infrastructures urbaines (CERIU); Town+Gown Center (New York City Department of Design and Construction); Direxyon; Electricity Canada Association; NSF Center for Weather Innovation and Smart Energy and Resilience (WISER); and Canadian Underground Infrastructure Innovation Centre (CUIUC).
Research Keywords Hardening options, power distribution networks, climate change, vegetation management, selective undergrounding, multipurpose utility tunnels, outage prediction models, impact of communities, social costs, deep learning, lifecycle cost-benefit analysis
Budget Cash: $234,000 In-Kind: $371,000

Research focus

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. The image shows a software interface with main layers and services listed on the left side, including options for 'Built Environment', 'Transport', 'Energy', 'Waste' and 'Ecosystem'.

Developing a climate impact assessment framework

This project will analyze the historical conditions of climate stressors of power distribution lines since the mid-20th century and their long-term evolutions in time and space, with the goal of making future projections.

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Forecasting and managing outage risks

A key objective is to forecast the probabilities and impacts of future outages caused by different types of weather events. This includes leveraging Machine Learning (ML) and climate change models to predict outages and assess the effectiveness of hardening strategies like vegetation management, selective undergrounding, and Multipurpose Utility Tunnels (MUTs).

Evaluating hardening strategies through Lifecycle Cost-Benefit Analysis (LCCBA)

Another goal is to compare the costs and benefits of various hardening strategies using a detailed LCCBA. This analysis aims to quantify not only the financial aspects but also the social and environmental costs and benefits, providing a comprehensive view of the value each strategy offers.

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Policy and regulation recommendations

Based on the comparative analysis of LCCBA results, the project intends to propose initial recommendations for policies and regulations. These recommendations will be aimed at guiding utility companies and policymakers towards adopting practices that maximize customer value and societal benefits, thereby promoting a more resilient power distribution system.

Non-academic partners

Thank you to our non-academic partners for your support and trust.

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