Decision support for United States – Canada energy integration is impaired by fragmentary environmental and electricity system modeling capacity
| dc.contributor.author | Calder, Ryan S. D. | en |
| dc.contributor.author | Dimanchev, Emil | en |
| dc.contributor.author | Cohen, Stuart | en |
| dc.contributor.author | McManamay, Ryan A. | en |
| dc.date.accessioned | 2024-09-19T15:19:45Z | en |
| dc.date.available | 2024-09-19T15:19:45Z | en |
| dc.date.issued | 2024-09-02 | en |
| dc.description.abstract | The renewable energy transition is leading to increased electricity trade between the United States and Canada, with Canadian hydropower providing firm lower-carbon power and buffering variability of wind and solar generation in the U.S. However, long-term power purchase agreements and transborder transmission projects are controversial, with two of four proposed projects cancelled since 2018. Here, we argue that controversies are exacerbated by a lack of open-source data and tools to understand the economic, environmental, and health tradeoffs of new hydropower generation and transmission infrastructure in comparison to alternatives. This gap includes impacts that incremental transmission and generation projects have on the economics of the entire system, for example, how new transmission projects affect exports to existing markets or incentivize new generation. We identify priority areas for data synthesis and model development, such as integrating linked hydropower and hydrologic interactions in energy system models and openly releasing (by utilities) or back-calculating (by researchers) hydropower generation and operational parameters. Publicly available environmental (e.g., streamflow, precipitation) and techno-economic (e.g., costs, reservoir size,) data can be used to parameterize freely usable and extensible models. Existing models have been calibrated with operational data from Canadian utilities that are not publicly available, limiting the range of scientific and commercial questions these tools have been used to answer, and the range of parties that have been involved. Studies conducted using highly resolved, national scale public data exist in other countries, notably, United States, and demonstrate how greater transparency and extensibility can drive industry action. Improved data availability in Canada could facilitate approaches that (1) increase participation in decarbonization planning by a broader range of actors; (2) allow independent characterizations of environmental, health, and economic outcomes of interest to the public; and (3) identify decarbonization pathways consistent with community values. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1088/2634-4505/ad763e | en |
| dc.identifier.eissn | 2634-4505 | en |
| dc.identifier.issn | 2634-4505 | en |
| dc.identifier.orcid | Calder, Ryan [0000-0001-5618-9840] | en |
| dc.identifier.uri | https://hdl.handle.net/10919/121163 | en |
| dc.language.iso | en | en |
| dc.publisher | IOP Publishing | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | hydropower | en |
| dc.subject | United States | en |
| dc.subject | Canada | en |
| dc.subject | energy trade | en |
| dc.subject | decarbonization | en |
| dc.subject | renewable energy | en |
| dc.subject | North America | en |
| dc.title | Decision support for United States – Canada energy integration is impaired by fragmentary environmental and electricity system modeling capacity | en |
| dc.title.serial | Environmental Research: Infrastructure and Sustainability | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
| dc.type.other | Article | en |
| pubs.organisational-group | Virginia Tech | en |
| pubs.organisational-group | Virginia Tech/Veterinary Medicine | en |
| pubs.organisational-group | Virginia Tech/Veterinary Medicine/Population Health Sciences | en |
| pubs.organisational-group | Virginia Tech/Faculty of Health Sciences | en |
| pubs.organisational-group | Virginia Tech/All T&R Faculty | en |
| pubs.organisational-group | Virginia Tech/Veterinary Medicine/CVM T&R Faculty | en |