Journal of Technology Innovations and Energy

Process Modeling and Simulation of Ammonia Production from Natural Gas: Control and Response Analysis

2023-03-02T16:30:45+00:00

Optimal production of ammonia (NH₃) using natural gas is necessary in order to make it available for wide range of applications including the manufacture of fertilizers, fuel for transportation and during synthesis of some chemicals. Achieving this would require strategic implementation of a control scheme to simulated ammonia production, capable of ensuring adequate realization of production targets. The work involves ASPEN Plus modeling, simulation, sensitivity analysis and control of NH₃ production process. Steam/carbon ratio, conversion of CH₄, removal of carbon dioxide (CO₂) and carbon monoxide (CO), hydrogen/nitrogen ratio and heat exchanger and separator temperatures were identified as requiring control in units any of these specifically impacts. As a result, approximately 176 tons of NH₃ was realized daily based on the simulation results and can be scaled-up using a calculated factor equivalent to 1.1375 to 200 tons/day capacity, in this design. Sensitivity analysis resulting in control of certain unit parameters is effective in ensuring process safety, maximum yield of important end-products and reduction in the cost of operation

The role of renewable energy and technological innovations toward achieving Iceland's goal of carbon neutrality by 2040

2023-03-05T07:24:54+00:00

Iceland has set a target of becoming carbon neutral by the year 2040, and this study looks into the role that economic growth, renewable energy use, and technological innovation could play in getting them there. The Dynamic Ordinary Least Squares (DOLS) technique was used to analyze time series data from 1990 to 2021. According to the results of the DOLS estimation, a one-percentage-point increase in economic growth is associated with a 0.39% increase in CO₂ emissions. Furthermore, increasing the use of renewable energy by 1% is related to a reduction in CO₂ emissions of 1.46 percent over the long run, as indicated by the coefficient of renewable energy use being negative and statistically significant. The calculated long-run coefficient of technical innovation is negative and statistically significant, suggesting that a 1% increase in technological innovation results in a 0.02% reduction in CO₂ emissions. The empirical results show that as Iceland's economy grows, so do its CO₂ emissions, but that the country may get closer to its objective of carbon neutrality through the growing use of renewable energy and technological innovation. Alternative estimators, such as fully modified least squares (FMOLS) and canonical cointegrating regression, do not significantly affect the estimated results (CCR). Furthermore, the pairwise Granger causality test is employed to capture the causal relationship between the variables. In order for Iceland to reach its objective of carbon neutrality by 2040, this article offers policy ideas centered on a low-carbon economy, the promotion of the use of renewable energy sources, and the financing of technical progress.

Ecological Footprint of Energy Consumption in Ijebu Ode, Nigeria

2023-03-02T17:11:49+00:00

Notwithstanding overwhelming evidence that shows how unsustainable energy consumption contributes to our already rising ecological footprint (EF), the situation is mostly unchanged worldwide, especially in developing countries with poor equipment for efficient energy generation, with a growing threat of global warming due to unsustainable energy consumption and its disastrous environmental effects. Therefore, this study sought to analyze the ecological footprint of energy consumption in Ijebu Ode. A descriptive cross-sectional method was employed, and primary data were sourced from systemically sampled 400 households using structured questionnaires, analyzed descriptively using Microsoft Excel, and inferentially using the ecological footprint mathematical model. Findings revealed the overall EF of energy consumption in Ijebu Ode at 0.07 gha/capita, constituting about 6.7% of the city EF share, with electricity having the major share (0.04 gha; 51.9%), followed by gas with a footprint of 0.02 gha (26%). The lowest of the energy footprints were kerosine, charcoal, and firewood, with 0.003 gha (3.9%), 0.002 gha (2.6%), and 0.001 gha (1.3%), respectively. Thus, we conclude that Ijebu Ode has sustainable energy consumption, and therefore calls for practical policy directives aimed at improving our natural gas distribution potential to facilitate household availability and affordability in light of our reputation as the highest natural gas reserve holder in Africa.

To Study the Contribution of Price Factor Towards the Purchase Intention of EV Market in Malaysia Among Generation Y Consumers

2023-03-14T02:47:34+00:00

The increasing demand towards the electric vehicle (EV) had prioritize the importance of the study towards the understanding on the purchase intention of the consumer market for the EV in Malaysia among the generation Y consumers. The previous study had suggested that the major contribution shift towards the EV market had been motivated by the environmental conscious for the individuals leading to higher purchase intention among the individuals. The suggestion on the previous study had suggested the evidence pointing to the significant positive relationship between the environmental conscious against the purchase intention of the consumers. The methodology of the research design had observed the quantitative method to put into picture to conduct the quantitative analysis based on the data input from the collection of sample size of 150 respondents from the distribution of the questionnaire from the target population of the Generation Y consumers. The findings had pointed out the evidence suggesting the presence of the significant positive correlation and regression relationship between the two variables indicting the similar findings as the previous research study. This had led to the achievement of the objective of the research drawing the significance of the study to conclude the outcome of the research.

The impact of Artificial Intelligence and Machine learning on workforce skills and economic mobility in developing countries: A case study of Ghana and Nigeria

2023-03-23T12:32:31+00:00

This study investigates the impact of Artificial Intelligence (AI) and Machine Learning (ML) technologies on workforce skills and economic mobility in Ghana and Nigeria. Using a qualitative research design, the study involves a literature review and data collection through interviews and focus groups with workers, educators, employers, and policymakers in both countries. The study shows that the adoption of AI and ML technologies is creating a growing demand for workers with complementary skills, leading to a skills gap in the workforce as the education systems in these countries struggle to keep up with the demand. The research study highlights the need for policies and strategies to address the skills gap and promote economic mobility. The study's recommendations can inform policymakers, educators, and employers in these countries on necessary steps to prepare the workforce for the changing demands of the future of work. Overall, this study provides a comprehensive analysis of the qualitative aspects of data collection and analysis and the impact of AI and ML on workforce skills and economic mobility in Ghana and Nigeria.