Welcome to the new Schulich Peer-Reviewed Publication Database!
The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:
- Faculty Member’s Name;
- Area of Expertise;
- Whether the Publication is Open-Access (free for public download);
- Journal Name; and
- Date Range.
At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.
If you have any questions or input, please don’t hesitate to get in touch.
Kim, Henry M. and Tom Baumann (2022). "Towards Ontology and Blockchain Based Measurement, Reporting, and Verification For Climate Action", Journal of Risk and Financial Management.
AbstractEfforts that incentivize GHG emissions reduction are hampered by inability to transparently and uniformly account for impact. The UN has espoused blockchain’s potential to address transparency, and novel Measurement, Reporting, and Verification (MRV) systems that constitute the state-of-the-art in using blockchain to address this need. However, positive effect is diluted without sufficient uniformity: Different blockchains idiosyncratically reporting carbon credits based on differing standards does not constitute a solution. In this paper, we specify a top-level architecture that uses Semantic Web ontologies to complement a blockchain-based, transparent, uniform (sharable) MRV system. Our design conceptualizes transforming “smart standards” designed and harmonized using IT into ontologies of quantification methodologies and verification standards, which in turn can be used develop smart contracts executable on, and interoperable between, different blockchains. We pose this within the context of the real-life Reciclo Orgánicos project, an international collaboration to reduce GHG emissions from Chile’s municipal waste sector.
Saxena, Shivam, Hany Farag, Aidan Brookson, Hjalmar Turesson, and Henry M. Kim (2020). "A Permissioned Blockchain System to Reduce Peak Demand in Residential Communities via Energy Trading: A Real-World Case Study", IEEE Access, 9, 5517-5530.
AbstractResidential energy trading systems (RETS) enable homeowners with distributed energy resources (DERs) to participate in virtualized energy markets that have the potential to reduce the peak demand of residential communities. Blockchains are key enablers of RETS, by virtue of providing a decentralized, self-governed network that mitigates concerns regarding privacy and transparency. However, more real-world case studies are needed to evaluate the techno-economic viability of blockchain-based RETS to improve their positive uptake. Thus, this article develops a permissioned blockchain-based RETS, which enables homeowners to select bidding strategies that consider the individual preferences of their DERs, and further evaluates the impact of the bidding strategies on reducing the peak demand of the community. The proposed system is implemented on the permissioned Hyperledger Fabric platform, where a decentralized ledger is used to store all energy bids, and a smart contract is used to execute a double auction mechanism and dispatch the homeowner DERs. The proposed system is validated by conducting simulations on a 8-home community using real-world data, and also by deploying the system to a Canadian microgrid, where the smart contract execution time is benchmarked. Simulation results demonstrate the efficacy of the proposed system by achieving a peak demand reduction of up to 48 kW (62%), which leads to an average savings of $1.02 M for the distribution system operator by avoiding transformer upgrades. Also, the simulation results show that the execution time of the proposed smart contract is 17.12 seconds across 12 nodes, which is sufficient for RETS.
Kim, Henry M. and Marek Laskowski (2018). "Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance", Intelligent Systems in Accounting, Finance, and Management, 25(1), 18-27.