An assessment of the economic and social impacts of climate change on the energy sector in the Caribbean
The present report assesses the economic and social impacts of climate change on the energy sector in Antigua and Barbuda, the Bahamas, Barbados, Belize, Cuba, Dominica, the Dominican Republic, Haiti, Grenada, Guyana, Jamaica, Saint Kitts and Nevis, Saint Vincent and the Grenadines, Saint Lucia, Suriname, and Trinidad and Tobago. In the study, the Artificial Neural Network methodology was employed to model the relationship between climate change and energy demand. The viability of the actions proposed were assessed using cost benefit analyses based on models from the National Renewable Energy Laboratory (NREL) of the United States of America.
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Texto biblioteca |
| Language: | English |
| Published: |
ECLAC
2013-02
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| Subjects: | CAMBIO CLIMATICO, POLITICA ENERGETICA, PLANIFICACION DE LA ENERGIA, SEGURIDAD ENERGETICA, RENDIMIENTO ENERGETICO, DESARROLLO SOSTENIBLE, TEMPERATURA, HUMEDAD, VIENTO, RECURSOS ENERGETICOS, ASPECTOS ECONOMICOS, ASPECTOS SOCIALES, CLIMATE CHANGE, ENERGY POLICY, ENERGY PLANNING, ENERGY SECURITY, ENERGY EFFICIENCY, SUSTAINABLE DEVELOPMENT, TEMPERATURE, HUMIDITY, WIND, ENERGY RESOURCES, ECONOMIC ASPECTS, SOCIAL ASPECTS, |
| Online Access: | https://hdl.handle.net/11362/38280 |
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| Summary: | The present report assesses the economic and social impacts of climate change on the energy sector in Antigua and Barbuda, the Bahamas, Barbados, Belize, Cuba, Dominica, the Dominican Republic, Haiti, Grenada, Guyana, Jamaica, Saint Kitts and Nevis, Saint Vincent and the Grenadines, Saint Lucia, Suriname, and Trinidad and Tobago.
In the study, the Artificial Neural Network methodology was employed to model the relationship between climate change and energy demand. The viability of the actions proposed were assessed using cost benefit analyses based on models from the National Renewable Energy Laboratory (NREL) of the United States of America. |
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