Notice bibliographique
Résumé
Alberta has mandated that 30 percent of its electricity must be generated from renewable sources by 2030. Microgeneration is a type of electricity generation that can contribute to this goal. Microgeneration provides many environmental and economic benefits, such as reduced greenhouse gas emissions and other forms of pollution, a reduced need for more transmission infrastructure, and lower wholesale electricity prices. Currently, microgeneration only accounts for 0.25 percent of electricity generation in Alberta, but is a rapidly growing source of electricity in the province: solar microgeneration has grown 500 percent from 6 MW in 2015 to 35 MW in 2018 (Alberta 2018a). The Alberta government wanted to understand how microgeneration could contribute to its renewable electricity goal and how growth of the industry could be supported. Therefore, in March 2017, the government directed the Alberta Utilities Commission to complete a review of distributed generation, including microgeneration, and identify barriers to distributed generation growth in the province (Alberta 2018e). One barrier identified was that the maximum amount of microgeneration that can be integrated to Alberta’s distribution grid is unknown. There is limited ability to track how much microgenerated electricity is added to the grid at any one time. As such, the maximum allowable amount of microgeneration that can be added to the grid is undefined, causing concerns regarding grid safety and reliability. This limits the incentive for distribution wire owners1 to integrate microgeneration to the grid and dissuades investment in microgeneration, limiting growth of microgeneration in the province. This lack of understanding of grid capacity will need to be addressed to promote the growth of distributed generation in Alberta as a part of efforts to increase renewable-generated electricity in the province. Smart gird technologies can provide visibility into grid capacity and support further microgeneration integration. However, such grid modernization comes at a financial cost. The Alberta Utilities Commission review explored whether distribution wire owners, microgenerators, or non-generating consumers should pay for costs associated with increased microgeneration integration by providing points of view from various stakeholders. This debate is discussed here. In this capstone, various policies that support smart grid implementation and microgeneration integration are reviewed, and costs and benefits are evaluated. Policies that directly support smart grid implementation include a smart grid implementation organizations and smart meter deployment. Smart grid implementation organizations coordinate grid upgrades across jurisdictions or multiple market players. Coordination can identify infrastructure gaps and provide information needed by distribution wire owners and grid regulators, ensuring coordinated action from multiple distribution wire owners and other relevant stakeholders in implementing smart grid technology. Such organizations can ensure equal access to upgraded grids within a region so that all constituents have access to microgeneration integration if desired. The United States has created several such coordinative organizations as part of its national smart grid strategy. Smart meters are an important smart grid technology that enables monitoring and data transfers from microgeneration units to the grid controller. Many jurisdictions in Canada have mandated and deployed smart meters as an initial and essential part of any grid modernization strategy. Several distribution wire owners and electricity retailers in Alberta already utilize smart meters, and so mandating the use of smart meters is a natural first step towards wide-spread smart grid implementation. Policies that financially support microgeneration uptake and grid modernization are also reviewed, and their costs and benefits are evaluated. These policies include feed-intariffs and net metering. A feed-in-tariff provides a guaranteed price for electricity generation over a certain period. Feed-in-tariffs have been widely used across Europe and have been successful in supporting growth in renewable electricity and microgeneration. However, feed-in-tariffs are challenging to implement properly and are often priced higher than the value of benefits received from increased renewable generation. As a result, electricity prices increase dramatically for consumers and reduce the overall benefit received from supporting microgeneration growth in the first place. Net metering is an alternative pricing approach that is designed to support microgeneration growth. Alberta currently utilizes a net billing system, where microgenerators can only apply credit received for any excess electricity provided back to the grid to the electricity portion of their bill; microgenerators are still charged transmission and distribution fees even when they do not use electricity from the grid. Net metering is a pricing mechanism that ensures the price or credit received by microgenerators for their electricity sales includes the benefits of lower transmission costs. This means that microgenerators are only charged partial transmission or distribution fees, or no such fees at all, if they do not utilize electricity from the grid. This can result in an electricity bill of $0 if they produce enough electricity from their microgeneration unit to meet their own needs, depending on the policy in place. Net metering reduces the payback time from investing in microgeneration, increasing the value of to the owner and incentivizing uptake. However, if microgenerators do not pay transmission or distribution fees, then utility companies lose revenue needed to pay for the infrastructure they provide. As a result, transmission and distribution fees may increase for non-generating consumers to make up for the revenue no longer received from microgenerators. The fairness of net metering is debated due to this cross-subsidization. A value-of-solar (VOS) style of net metering may help to offset this cross-subsidization, and it can be applied to any type of microgeneration. VOS is used to compensate microgenerators based on the amount of benefit they provide to the grid rather than the general retail price of electricity. The VOS credits microgenerators for avoided purchases of electricity from other polluting generation sources; avoided additional power plant capacity to meet peak electricity needs; providing electricity at a fixed price for a long-term; and reducing wear and tear on the electricity grid. Cross-subsidization is then minimized by compensating microgenerators based on the benefit they provide to the grid, as both utilities and non-generation consumers do not have to pay more than the benefit they receive from microgeneration. Based on the analysis of these policies, Alberta should implement a smart grid coordination organization of its own and mandate smart meter deployment. The coordinating organization will ensure strong and efficient implementation of smart grid technologies. As 70 percent of Alberta’s meters are already smart meters, mandating smart meter upgrades for the remaining 30 percent is an easy and excellent first step towards grid modernization. Mandating smart meters will lead to a better understanding of grid capacity for integrating microgeneration. Alberta should also implement a VOS-style net metering system. This will increase the value of microgeneration in the province, encouraging uptake, while minimizing the costs incurred by utilities and non-generating consumers.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 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 ».