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Multi-Objective Transmission Expansion: Offshore Wind Power Integration Case Study


핵심 개념
The author presents a multi-objective planning model to facilitate large-scale adoption of offshore wind power, considering externalities and operational scenarios.
초록
The content discusses the urgent need for coordinated planning frameworks for offshore wind integration, highlighting the impact of negative externalities and extreme operational scenarios. The study explores grid expansion sensitivities, onshore and offshore, due to offshore wind integration, optimizing Points of Interconnection (POIs) and considering various factors like greenhouse gas emissions and local air pollution. Results indicate that accounting for externalities requires greater upfront investment in clean generation and storage but leads to lower operational costs.
통계
Our results show that incorporating externalities necessitates greater upfront investment in clean generation and storage. Optimizing POIs could reshape offshore topology or POIs and lower total cost. Extreme operational scenarios result in greater operational costs and onshore line investment. Average marginal damages from local air pollution range from $0.31/MWh to $535.75/MWh. Gas-fired generators have average marginal damages ranging from $15.42/MWh to $133.70/MWh.
인용구
"We describe a multi-objective, multistage generation, storage, and transmission expansion planning model." "Our results show that incorporating the externalities results in markedly different outcomes." "The proposed framework equips regulators with a tool to address multiple policy objectives."

핵심 통찰 요약

by Saro... 게시일 arxiv.org 03-05-2024

https://arxiv.org/pdf/2311.09563.pdf
Multi-Objective Transmission Expansion

더 깊은 질문

How can the model be adapted to incorporate additional environmental factors beyond those considered

To incorporate additional environmental factors beyond those considered in the model, several adjustments can be made. Firstly, the model could include a broader range of negative externalities such as water usage, land use impacts, and noise pollution associated with different generation technologies. These factors can be quantified and monetized to reflect their costs accurately in the optimization framework. Additionally, positive externalities like biodiversity conservation or job creation from renewable energy projects could also be included to provide a more comprehensive view of the environmental impact. Furthermore, climate change considerations beyond carbon emissions could be integrated into the model by incorporating metrics for methane and nitrous oxide emissions from natural gas infrastructure or other sources. The effects of extreme weather events on transmission infrastructure resilience due to climate change could also be factored in through scenario analysis that considers future climate projections. Lastly, social factors such as community acceptance and equity considerations related to project siting could play a crucial role in determining the overall sustainability of energy projects. Including these aspects would require developing new parameters within the model that capture social acceptance levels or potential disparities in benefits distribution among communities affected by energy developments.

What are the potential implications of not accounting for externalities in transmission expansion planning

Not accounting for externalities in transmission expansion planning can have significant implications both economically and environmentally. From an economic standpoint, neglecting negative externalities such as air pollution or greenhouse gas emissions leads to underestimating the true cost of conventional power generation sources like coal-fired plants or natural gas facilities. This undervaluation distorts investment decisions towards less sustainable options that may appear cheaper upfront but carry higher long-term societal costs. Environmentally, ignoring externalities means disregarding the actual impact of electricity production on ecosystems and public health. Failure to internalize these costs results in inefficient resource allocation where polluting technologies are favored over cleaner alternatives despite their hidden expenses on society at large. Moreover, not considering externalities hampers efforts towards achieving decarbonization goals and transitioning towards a more sustainable energy system. It undermines regulatory initiatives aimed at reducing emissions and improving air quality standards by perpetuating reliance on fossil fuels without accounting for their full environmental toll. In essence, overlooking externalities creates market distortions that hinder progress towards a greener grid while masking the true price tag associated with traditional power sources.

How might advancements in renewable energy technology impact the findings of this study

Advancements in renewable energy technology are likely to have profound implications for this study's findings: Cost Reduction: As renewable technologies become more cost-competitive compared to traditional fossil fuel-based generation methods (due to technological advancements), it may alter investment decisions within the model significantly. Capacity Expansion: With improvements in efficiency and output capacity of renewables like wind turbines and solar panels, there might be increased deployment levels leading to higher penetration rates than initially anticipated. Storage Integration: Advancements in battery storage technology can enhance grid flexibility and reliability which may influence storage capacity expansion decisions within the optimization framework. 4 .Transmission Needs: Enhanced forecasting capabilities coupled with better understanding of renewable resource variability might lead to optimized transmission network designs catering specifically for intermittent resources like wind farms located offshore. 5 .Environmental Impact: More efficient renewables mean lower operational costs over time which will further emphasize how critical it is to account for all relevant environmental factors when making planning decisions. These advancements underscore why continuous updates reflecting evolving technology landscapes are essential for accurate modeling outcomes guiding future grid development strategies based on clean energy integration goals."
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