Analysis of the Entangled Evolution Model for the Generation of Sustainability Indicators in Energy Projects

Abstract

One of the most used ways to measure progress towards sustainable development is through indicators. That is why, over time, experts have worked on various methodologies and proposed indicators, in aspects that cover the axes of sustainability, that is, economic, environmental, institutional, and social. In this sense, this study shows the selection with entangled evolution algorithms the ideal set of sustainability indicators for energy projects, taking into account the relevant actors. The case study was established in the municipality of Tlaxco, located in the state of Tlaxcala, which has the appointment of Magic Town. The proposed applied methodology incorporates social innovation, starting with the formation of groups of relevant actors defined in society, businessmen, and members of the Municipal Council. A catalog of sustainability indicators was made, to which a footprint was assigned, which is a number to identify them, according to their relationship with the axes of sustainability. The algorithm of entangled evolution was used as an auxiliary tool in the identification of the best set of indicators, for which a survey was carried out to the relevant actors, with the objective of defining the specific scenario according to the perception of sustainability of each group. Finally, the results obtained by the algorithm, opinions of experts in the area, and previous knowledge of the environment, allowed the selection of suitable sustainability indicators for energy projects in the municipality of Tlaxco.

Presenters

Nydia Xcaret Valladares Arias

Karla G. Cedano
Head , Technology Management and Liaison, UNAM Instituto de Energías Renovables, Morelos, Mexico

Manuel Martinez

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

Social and Community Studies

KEYWORDS

Sustainability, Indicators, Energy

Digital Media

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