A Model for Measuring the Photovoltaic Project Performance in Energy Auctions

Abstract

Electricity trading occurs under different mechanisms in each country, with auctions being one of these mechanisms. Auctions are widely used to determine their remuneration in the scope of clean energy technologies, such as photovoltaics. Added to the auction process’s bureaucracies and uncertainties, the competing photovoltaic project must keep its technical and economic performance maximized. Given this context, this study aimed to contribute to the competitiveness of photovoltaic plant projects in energy auctions through a performance diagnosis model to identify, measure, and analyze factors in the designing process. For this, a systematic literature review was performed to identify the factors that influence the implementation of a photovoltaic plant project; additionally, the fuzzy Delphi method was applied to examine the factors’ importance. An analytic hierarchy process weighted the factors, and the key performance indicators were developed based on the literature and regulation of the electric energy sector. The model was applied in a centralized photovoltaic energy generation project, which presented a performance index of 41.91%, and the sensitivity analysis and prioritization matrix comprised the post-application study of the model. Our model can help planners improve the competitiveness of photovoltaic projects in auctions by observing underperforming indicators.

A Diffuse Analysis Based on Analytical Processes to Prioritize Barriers in the Development of Renewable Energy Technologies in Alignment with the United Nations Sustainable Development Goals: Evidence from Guajira/Colombia

“…It happens that the characterizations of population nature manages to obtain as results information on the structure and large number of identity attributes of various groups of people with evolutionary continuity in time, which according to their differences configure particular ways of being and being in a territory, in this research was taken to the department of La Guajira in the country of Colombia, Because this area is a territory very rich in natural resources, which makes it a potential in the implementation of renewable energy sources, however despite this natural disposition, this area of that country is one where its inhabitants suffer from a poor quality of life (Moreno Rocha et al, 2022). These studies characterizing a population vs. its energy potentials also make it possible to focus attention on guaranteeing or re-establishing the effective enjoyment of rights of population groups, the recognition of their diversity and multiculturalism as a social wealth, the particularities and inequalities that hinder or enable their access to the dynamics and benefits of social and territorial development (Thomasi et al, 2022). The importance of correctly directing the appropriate forms of population characterization exercises lies in the fact that they allow to base the design, adjustment and implementation of public policies with a view to transforming situations considered as problematic, and offering goods and services that respond satisfactorily to the needs and interests of population groups (Zhu et al, 2022).…”

Evaluation, Hierarchy and Selection of the best Source of Energy by using AHP, as a Proposed Solution to an Energy and Socio-economic Problem, in the case of Colombia’s Pacific Zone

“…In the analysis and research of the potential of renewable energies in the Colombian Pacific region, social, environmental, technical and economic are valued, and there are a series of criteria and subcriteria that are related to them (Carpitella et al, 2018) Alternatives for the use of renewable energies in the region investigated are also taken into consideration Figure 1. teaches the hierarchical structure of decision-making considering the sub-criteria and criteria of the alternatives examined (Thomasi et al, 2022).…”