Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico
| Autor: | Andres F. Clarens, Joseph F. DeCarolis, Claire N. Trevisan, Bevin T. Etienne, Marla Perez-Lugo, Jeffrey A. Bennett, Cecilio Ortiz-García |
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| Rok vydání: | 2021 |
| Předmět: |
Renewable Energy
Sustainability and the Environment business.industry Environmental resource management Energy Engineering and Power Technology Climate change Storm Context (language use) 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology Grid 01 natural sciences 0104 chemical sciences Electronic Optical and Magnetic Materials Renewable energy Extreme weather Fuel Technology Fragility Environmental science 0210 nano-technology business Futures contract |
| Zdroj: | Nature Energy. 6:240-249 |
| ISSN: | 2058-7546 |
| Popis: | Energy system optimization models often incorporate climate change impacts to examine different energy futures and draw insights that inform policy. However, increased risk of extreme weather events from climate change has proven more difficult to model. Here, we present an energy system optimization model that incorporates hurricane risks by combining storm probabilities with infrastructure fragility curves, and demonstrate its utility in the context of Puerto Rico, an island territory of the United States that had its energy system severely damaged by Hurricane Maria in 2017. The model assesses the potential to change grid architecture, fuel mix and grid hardening measures considering hurricane impacts as well as climate mitigation policies. When hurricane trends are included, 2040 electricity cost projections increase by 32% based on historical hurricane frequencies and by 82% for increased hurricane frequencies. Transitioning to renewables and natural gas reduces costs and emissions independent of climate mitigation policies. In order to assess the impact of climate change on energy systems, models need to incorporate the increased risk of extreme weather events. Here, Bennett et al. provide a framework to integrate increasing extreme event risk in grid expansion planning models and apply the method to hurricane risks in Puerto Rico. |
| Databáze: | OpenAIRE |
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