The environmental pollution that arose from the 20th century has led to the search for clean and renewable energies, so this research aims to determine the efficiency of a two-axis solar tracker system, through the analysis of the data obtained. In view of the fact that it remains perpendicular to the solar rays for a longer time, which automatically moves to the point where the radiation source is. Mathematical models were considered for this study based on parameters of time, voltage, solar radiation, temperature, ultraviolet radiation, inclination angles, and cardinal points, to which the panel was directed during the test days. The efficiency given by the solar panel was obtained as 15.34% on average among monocrystalline silicon solar panels. It was concluded with the analysis of the most relevant data that are, the voltage, the solar radiation, and the angle of inclination to determine with these three parameters if the dual-axis tracker system had an excellent capture of solar radiation in the test days, in order to make the collection and production of solar energy more efficient.
The evolution of the technology 5G has influenced the Internet of the Things (IoT) according to the wireless communications of minor latency, and major speed compared to the existing technologies. Consequently, from the 21st century, 5G will act as the spinal column of the IoT and will level the way for the design and deployment of a Smart City, nevertheless, this progress has a negative point which is demonstrated in the energy consumption. The target of this investigation is to announce methods to reduce the consumption of energy in one Smart City based on the IoT and the technology 5G. The results obtained in this investigation allow determining that 5G and the IoT will have a major energy consumption with about 80 % of the entire potency, due to the transmission and reception of a big quantity of information in a Smart City. Likewise, this research, contributes to the knowledge, presenting a review of methods that allow minimizing energy consumption and projects that improve energy efficiency.
The extractivism is an economic growth model based on the exploitation of primary natural resources, little transformed, including oil, to be sold on the world market. Several countries, including Mexico, were inserted into an extractivist model, to obtain the highest possible income, through which their industrialization and development were financed; on the other hand, these resources have also been used to pay for growing public spending. The objective of this research work is to determine the impact of oil extractivism on the economic growth of Mexico. For which an econometric model was developed, by ordinary least squares, analyzing the period of time 1990-2020. The results obtained show negative effects associated with a high dependence on public finances toward oil extractivism, in addition, derived from the lack of transformation and improvements of the Mexican extractivism model, negative impacts are generated in the economy that, if not addressed, can trigger a domino effect with greater losses for the oil sector, which could lead to increasing the country risk, an aggravating the economic and social situation of the country in the medium term.
The constant growth of the world’s population has generated various changes in the use of the diversity of the resources provided to us by the planet. Considering that by properly managing energy in air conditioning systems correctly, it collaborates in the fight against climate change, reducing the excessive use of fossil fuels and, therefore, the emission of CO2 and other greenhouse gases, creating an environment of comfort in industrial sectors, businesses, companies, homes, among others. The objective of this research is to validate the instrument considering the information obtained about smart devices applied in air conditioning systems and their improvement in energy efficiency. The methodology applied consisted of a field study conducted through an online survey that was directed at 226 students and professionals from three provinces of the Republic of Ecuador. To validate the data obtained in the instrument, the exploratory factor analysis was performed also of the principal components in the last phase it was obtained in factor transformation matrix (0.986), which demonstrates the validity of the study. To apply the KMO test and Bartlett’s sphericity, the following ranges (≥0.6) y (<0.05) were considered respectively.
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