Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia

Abstract

Article [I]Introducing the community to technical projects requires a deal with the social, energy and environmental policies as well as the cultural field. To address an energy project from a socio-technical view requires the joint analysis of both the project and the community. This work focuses on the formulation of a methodology to ease the prioritization of projects and community participation. To evaluate the community, the Human Development Index and Sustainable Development Goal Index are adjusted to the context and available information of Nariño. The Net Present Value is used for the project evaluation. The Analytic Hierarchy Process allows for the evaluation of the community and project jointly and establishing prioritization objectives. Moreover, the co-construction methodology is the basis to formulate guidelines to work with the community. This research found that there is a relationship between the projects that seek to improve the quality of the life and education in Nariño. Article [II]Solar irradiance is a worldwide available resource that could drive electrification processes in regions with low socio-economic indexes. Therefore, to know solar irradiance behavior and data is increasingly a mandatory activity. However, some interesting sites, generally socio-economic outcast places, do not rely on solar irradiance data, and if information exists, it is not complete. Therefore, researchers use some techniques to estimate this energy resource with information from other meteorological variables as temperature. Nevertheless, there is not a broad analysis of these techniques in tropical and mountainous environments. Therefore, this research analyzes the performance of three well-known empirical temperature-based models in tropical and mountainous environments. Moreover, this work proposes a new empirical technique that models solar irradiance in some areas better than the three techniques mentioned. Statistical error comparison allows us to choose the best model for each location and the data imputation model. Hargreaves and Samani's model presented better results in the Pacific zone, and the proposed model showed better results in the Andean and Amazon zones. Another significant result is the linear relationship between the new empirical model constants and the altitude 2.500 MASL. Article [III]The solar energy potential maps are an enabler for solar energy use. However, the lack of solar irradiance information is a barrier to elaborating on this type of decision tool. This research proposed the estimation of solar irradiance using air temperature data to increase the sampled points with the Hargreaves and Samani and a proposed empirical model. Also, the leave-one-out cross-validation is the technique used to assess the performance of four spatial interpolation techniques in a tropical and mountainous environment. The information came from Nariño state in Colombian that covers an area of 33.268km 2 . The proposed empirical model shows better performance in sites with an altitude above 2.500 MASL, lo...

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