Energy poverty risk mapping methodology considering the user's thermal adaptability: The case of Chile

Autor: Maureen Trebilcock, Carlos Rubio-Bellido, Alexis Pérez-Fargallo, David Bienvenido-Huertas
Rok vydání: 2020
Předmět:
Geographic information system
media_common.quotation_subject
Geography
Planning and Development
Population
0211 other engineering and technologies
02 engineering and technology
Confort térmico adaptativo
010501 environmental sciences
Management
Monitoring
Policy and Law
01 natural sciences
Adaptability
6310.09 Calidad de Vida
Decile
Evaluación de riesgos laborales
ASHRAE 90.1
Zonas degradadas
021108 energy
Chile
education
Energy poverty
Desarrollo sostenible
Grado de pobreza horaria (PADHI)
0105 earth and related environmental sciences
media_common
education.field_of_study
Sistema de Información Geográfica (GIS)
Poverty
Renewable Energy
Sustainability and the Environment
business.industry
Thermal comfort
Índice de Riesgo Potencial de Pobreza Energética (FPPRI)
Environmental economics
3305.90 Transmisión de Calor en la Edificación
Pobreza energética
3305.14 Viviendas
Geography
6310.08 Pobreza
5404.01 Geografía Urbana
business
Índice de Riesgo Pot. Pobreza Energ. (FPPRI)
Zdroj: RIARTE
Consejo General de la Arquitectura Técnica de España (CGATE)
ISSN: 0973-0826
DOI: 10.1016/j.esd.2020.07.009
Popis: Today, identifying energy poverty is one of the scientific community's challenges. In this sense, using Geographic Information Systems (GIS) assumes getting to know which areas are the most vulnerable. This study considers the development of a new territory energy poverty evaluation indicator, called Poverty Adaptive Degree Hourly Index (PADHI). The novelty of this indicator is that it combines the number of inhabitants in poverty with the hourly heating and cooling degrees of each climate, determined using adaptive thermal comfort limits based on ASHRAE 55-2017. The area studied focuses on Chile and its 346 municipalities. The application of the adaptive comfort model can exceed 90% in the north of the country and be below 20% in the most meridional areas. The results also outlined that the municipalities defined as PADHI's 10th decile are those which have a higher risk of energy poverty in their population, a higher percentage of income poverty and climatic severity. A cluster analysis was also run for this decile, identifying two risk groups with the aim of identifying the critical areas. This methodology applied to Chile, but international in nature, allows identifying priority areas on which the measures needed to reduce energy poverty can be focused. © 2020 International Energy Initiative
Databáze: OpenAIRE
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