The Water-Energy Nexus â A Modern Case Study to Reassess Hydropower in the Niagara River
Notice bibliographique
Résumé
The advent of variable renewable energy has created an urgent need for demand-based generation and storage. At present, with batteries still awaiting a major technological breakthrough, hydropower combined with pumped storage is suggested as a key response to demand variability. Even overlooking the technical demands, developing this potential resource in a sustainable way presents formidable challenges. While sustainability is a concern, the vulnerability of the resource to changing climatic conditions poses a major threat. The present study proposes five modelling approaches (and/or frameworks) as a foundation to a systems approach to hydropower and shows how these tools address the key challenges. Overall, the research addresses the current demand for dispatchable generation particularly in Ontario and proposes several alternatives including their sustainability assessment. Of the five models, the first two explore a variety of remuneration structures for pumped storage in the context of Ontario. The work begins with an optimization approach that evaluates the wholesale market for optimal profit. The tradeoff between hydropower and ecological targets is explored using a Constraint Method. The results are compared with models based on contracted price and an integrated valuation approach that accounts for the socioeconomic attributes of storage using representative applications. While the first two approaches concentrate on the project economies, the third model evaluates the potential for increased hydroelectric generation and assesses its vulnerability scenarios of climate change. A 1D simulation model of the existing power system at Niagara is used to evaluate a variety of innovative operating plans. One such scenario includes a revised approach to daily operation with use of additional storage during the night and timed release during peak demand hours. The final section seeks to improve the existing frameworks for sustainability assessment and then to use these improved metrics to evaluate various proposed generation options. The developed decision support framework, applied to Niagara, allows quantitative evaluation based on survey responses from key stakeholders. In contrast, the fifth and final approach uses the concept of resilience within probabilistic graphical model to account for the inherent uncertainty associated with climate projections. Overall, the five approaches (optimization, integrated valuation, simulation, sustainability and resilience assessment) facilitate rethinking the hydropower system with changing circumstances and subsequent shift in priorities by the development, analysis, and interpretation of models. This thesis contributes towards evaluating the merits of transitions between these approaches for future modelling applications.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».