Pobreza energética en contextos de exclusión urbana: nuevos enfoques para la acción desde América Latina

Felmer Plominsky, Gabriel; Martínez Arias, Andrea; Rivera, María Isabel; Zepeda-Gil, Carlos

doi:10.5354/0718-8358.2023.72446

Cited by 1 publication

(1 citation statement)

References 47 publications

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“…A decade ago, energy poverty was only seen as an issue in rich countries [2][3][4]; today, it is increasingly recognized as a widespread global phenomenon, and increasing attention is being given to energy transition and equity in developing countries [5][6][7]. Energy poverty is broadly defined as a household's inability to attain modern domestic energy services [7][8][9]; the links between energy poverty and urban planning are just beginning to be explored as emerging narratives in Asia [10], Africa [11], and Latin America [12,13] unveil a plethora of deep-rooted causes and disciplinary gaps to be bridged [14]. Among the latter, informal urban development, limited population data, and a lack of sufficient resources in developing countries pose several challenges in terms of finding ways to tackle energy poverty at an urban or territorial scale [15,16].…”

Section: Introductionmentioning

confidence: 99%

Urban Building Energy Modeling to Support Climate-Sensitive Planning in the Suburban Areas of Santiago de Chile

Mutani,

Alehasin,

Yang

et al. 2024

Buildings

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Greenhouse gas emissions depend on natural and anthropic phenomena; however, to reduce emissions, we can only intervene in terms of anthropic causes. Human activity is very different in various countries and cities. This is mainly due to differences in the type of urban environment, climatic conditions, socioeconomic context, government stability, and other aspects. Urban building energy modeling (UBEM), with a GIS-based approach, allows the evaluation of all the specific characteristics of buildings, population, and urban context that can describe energy use and its spatial distribution within a city. In this paper, a UBEM is developed using the characteristics and consumption of eight typical buildings (archetypes) in the climate zone of Santiago de Chile. The archetype-based UBEM is then applied to the commune of Renca, a critical suburb of Santiago, with the use of QGIS to analyze the energy demand for space heating and the potential for energy saving after four retrofitting interventions. Knowing the costs of the retrofitting interventions and the energy price, the simple payback time was evaluated with the reduction in GHG emissions. Starting from the actual building stock, the results show that the most effective retrofitting intervention for the commune of Renca is the thermal insulation of walls and roofs; due to the type of dwellings, this particular intervention could be more convenient if associated with the installation of solar technologies. This methodology can be replicated with the data used by urban planners and public administrations available for many Chilean cities and in other countries.

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