Search Results (23)

Air quality monitoring (AQM) is key to maintaining healthy air in cities. This is crucial in low- and middle-income countries due to increasing evidence of poor air quality but lack of monitors to consistently collect evaluate air quality data and effect policy changes, mainly because of the costs of monitoring devices. In participating in a challenge for the development of low-cost AQM devices in low-resource regions, an Arduino-based device with sensors for particulate matter size, temperature, and humidity data acquisition was developed for deployment in Port Harcourt, a city in Nigeria’s Niger Delta region, exposed to poor air quality partly due to gas and oil production activities. During the project, challenges to AQM were encountered, including inadequate awareness of air quality issues, lack of necessary AQM device components, unavailability of trained manpower and partnerships, and lack of funding. However, lack of a means of calibrating the device was a major hindrance, as no reference AQM instrument was available, rendering the data acquired largely qualitative, educational, and useless for regulatory purposes. There is an urgent need for AQM in such cities. However, a robust AQM strategy must be designed and used to address these constraints, especially whilst using low-cost devices, for significant progress in acquiring robust air quality data in such low-resource regions to be made. Full article

Despite global efforts to address climate change, carbon dioxide (CO₂) emissions are still on the rise. While carbon dioxide is essential for life on Earth, its increasing concentration due to human activities poses severe environmental and health risks. Therefore, accurately and efficiently predicting CO₂ emissions is essential. Hence, this research delves deeply into the prediction of CO₂ emissions by examining various deep learning models utilizing time series data to identify carbon dioxide levels in Oman. First, four important production materials of Oman (oil, gas, cement, and flaring), which have a great impact on CO₂ emissions, were selected. Then, the time series related to the release of CO₂ was collected from 1964 to 2022. After data collection, preprocessing was performed, in which outliers were removed and corrected, and data that had not been measured were completed using interpolation. Then, by dividing the data into two sections, education (1946–2004) and test (2022–2005) and creating scenarios, predictions were made. By creating four scenarios and modeling with two independent GRU and LSTM models and a hybrid LSTM-GRU model, annual carbon was predicted for Oman. The results were evaluated with three criteria: root mean square error (RMSE), mean absolute percentage error (MAPE), and correlation coefficient (r). The evaluations showed that the hybrid LSTM-GRU model with an error of 2.104 tons has the best performance compared to the rest of the models. By identifying key contributors to carbon footprints, these models can guide targeted interventions to reduce emissions. They can highlight the impact of industrial activities on per capita emissions, enabling policymakers to design more effective strategies. Therefore, in order to reduce pollution and increase the productivity of factories, using an advanced hybrid model, it is possible to identify the carbon footprint and make accurate predictions for different countries. Full article

This study investigates how CEO characteristics, board composition, and firm size influence the technical efficiency (TE) of energy firms. We aim to understand how these factors contribute to production inefficiencies, which may help explain fluctuations in oil prices. Using stochastic frontier analysis (SFA), we analyze data from 100 American energy firms over the period from 2006 to 2019. Our results show that inefficiencies in production are primarily driven by specific CEO traits, the size and structure of the board, and the overall size of the firm. Based on the findings of this study, we recommend focusing on the selection of executive managers with specific qualifications, particularly those with extensive experience in managing oil and gas companies. Leadership positions should prioritize seasoned managers with accumulated expertise in this sector, and preference should be given to candidates with advanced educational backgrounds. Encouraging CEOs to acquire equity stakes in the company can significantly boost the technical efficiency of oil and gas firms. Additionally, offering competitive salaries and performance-based bonuses may further enhance managerial effectiveness and drive technical improvements. In addition, expanding the size of boards of directors in oil and gas companies is also anticipated to positively influence their technical efficiency. Finally, pursuing mergers and acquisitions to grow the scale of oil and gas companies represents a strategic approach to improving operational efficiency while contributing to the stability of global energy prices. Full article

Canada, as one of the largest oil and gas producer in the world, is responsible for large emissions of methane, a powerful greenhouse gas. At low levels, methane is not a direct threat to human health; however, human health is affected by exposure to pollutants co-emitted with methane. The objectives of this research were to estimate and map pollutants emitted by the oil and gas industry, to assess the demographic of the population exposed to oil and gas activities, and to characterize the impact of well density on cardiovascular- and respiratory-related outcomes with a focus on Alberta. We estimated that ~13% and 3% people in Alberta reside, respectively, within 1.5 km of an active well and 1.5 km of a flare. Our analysis suggests that racial and socioeconomic disparities exist in residential proximity to active wells, with people of Aboriginal identity and people with less education being more exposed to active wells than the general population. We found increased odds of cardiovascular-related (1.13–1.29 for low active well density) and respiratory-related (1.07–1.19 for low active well density) outcomes with exposure to wells. Close to 100 countries produce oil and gas, making this a global issue. There is an important need for additional studies from other producing jurisdictions outside the United States. Full article

The electric vehicle (EV) market in Pakistan faces a blend of challenges and opportunities as it transitions towards a more sustainable future. The transport sector, a significant consumer of carbon-intensive fuels (gasoline, diesel, CNG), contributes substantially to global GHG (greenhouse gas) emissions. In Pakistan, the shift to EVs is driven by the need to curtail the high cost of imported fossil fuels and the need to reduce carbon emissions. In this backdrop, this study conducts a market assessment of major challenges and opportunities that exist for EV uptake while also developing decarbonization pathways through scenario-based modeling using the Low Emission Analysis Platform (LEAP). Through a mixed-method approach, this study reveals that the key hurdles include the lack of charging infrastructure, the high costs of EVs, limited domestic production, and insufficient public awareness. Overcoming these challenges requires coordinated efforts in policymaking, infrastructure development, and public education. The successful adoption of EVs promises enhanced energy security, reduced environmental impacts, and economic benefits through decreased oil imports and lower operational costs. Full article

Oil refineries play a crucial role in meeting global energy demands, and optimizing the efficiency of critical processes is vital for economic feasibility and environmental sustainability. Simulation is an essential tool for the optimization of valuable products. This work presents the rigorous simulation of a vacuum distillation unit (VDU) based on actual data from the vacuum distillation processes using Aspen HYSYS V10. The Peng–Robinson fluid package is used in this simulation, and an input assay with a standard density of 29 API_60 (879.8 kg/m³) is employed. True boiling point (TBP) assay data are the type that is being used. Methane, ethane, propane, i-Butane, n-Butane, i-Pentane, and n-Pentane are the components listed in the simulation. The research determines that achieving a yield capacity of 685 tons/h requires thirty stages in the atmospheric distillation unit and twelve stages in the vacuum distillation unit while operating at 420 °C temperature and 9 kPa pressure. Adjustments in the flash section temperature (FST) and steam flow rate (SFR) are proposed to enhance operational efficiency. Increasing the FST from 370 °C to 400 °C and adjusting SFR from 10 tons/h to 26 tons/h increases the Light Vacuum Gas Oil (LVGO) yield by 7.2% while elevating the FST from 400 °C to 430 °C and adjusting SFR from 10 tons/h to 26 tons/h enhances the High Vacuum Gas Oil (HVGO) yield by 7.4%. These optimization strategies offer a practical and effective approach for refineries to improve the economic benefits of vacuum distillation units. The implications of this research can act as a computational thinking exercise for higher education students considering the case study where only through changing the operational strategies can the yield be enhanced by 10.81% in the vacuum distillation unit of the oil refinery. Full article

This study investigated how entrepreneurship can reshape resource-based countries such as Qatar into more diverse, sustainable, and knowledge-driven economies. By integrating both exploratory and quantitative research methods, it closely examines how various elements, including government policies, societal values, financial aids, and technological advancements, interact to influence entrepreneurial success. A significant part of the research involves a survey design based on initial qualitative research from a previous study to test the effectiveness of these strategic suggestions. This paper presents targeted recommendations for stakeholders to enhance entrepreneurship education, streamline business regulations, and introduce a national entrepreneurship zone (ENT-Q) facilitated by a digital platform (Ryadah). These steps aim to improve the entrepreneurial environment significantly, making it easier to access crucial business information, support small businesses through dedicated funds, and shift towards a diversified and knowledge-based economy. The anticipated result is better policymaking in entrepreneurship, increased entrepreneurial activity and success, and a move away from reliance on traditional oil and gas sectors. By offering a detailed plan for promoting entrepreneurship in resource-rich settings, this paper contributes valuable insights into economic diversification and sustainable development, providing actionable strategies that can be adapted to similar economies worldwide in a manner that is more accessible and understandable. Full article

While the end of the COVID-19 pandemic was declared in May 2023, it is necessary to analyze data collected by the Household Pulse Survey (HPS) to understand Americans’ perceptions of inflation during the COVID-19 pandemic. A total of 574,265 samples were analyzed with ANOVA, Tukey’s Multiple Comparison tests, and dominance analysis to explore disparities in expense difficulty across various demographic and socioeconomic groups. Results revealed significant racial disparities, with Black individuals facing the most challenges, followed by mixed-race, White, and Asian respondents. Transgender individuals encountered the highest hurdles among genders. Separated individuals experienced the most financial challenges based on marital status, while renters struggled more than homeowners regarding property status. Geographical variances revealed that the District of Columbia experienced the simplest challenges while Mississippi faced the most difficult ones. Dominance analysis highlighted household income and education levels as pivotal factors and indicated an inverse correlation between total household income and expense difficulty among low-income households. Disparities arose when oil and gas prices decreased, while the difficulty of paying full energy bills did not follow that trend. The most substantial discrepancy was observed between people’s difficulty with expenses and CPI data, which implied questions about the accuracy of CPI in reflecting consumer trends. Future research that considers additional variables would be helpful to gain a more comprehensive understanding of individuals’ perceptions of inflation during the COVID-19 pandemic. Full article

Industrial disasters may cause massive public health problems, as they create large environmental damage and major loss of life. Balikpapan City has experienced a large oil spill which caused an industrial and environmental disaster: five fishermen died, various public health problems arose, and damage to environmental wildlife and ecosystems occurred. The objective of this study was to evaluate the industrial and environmental disaster risk related to hazardous material (hazmat) in Balikpapan. The research method involved the use of a semi-quantitative risk analysis with an originally organized checklist, a risk matrix, and a Geographic Information System (GIS) analysis. The results suggested that the risk score in Balikpapan’s City is 32 (MEDIUM; the dominant types of hazmat were flammables and corrosives). The major sectors contributing to the risk appeared to be the mining, energy, and oil and gas industries, with a medium risk (average risk score 33), while one clean water industry showed a low risk (risk score 24) using the checklist and risk matrix. According to the results from the GIS mapping, the areas t the highest risks appeared to be located within Balikpapan City coastal regions. The industries and the government of Balikpapan must be prepared for industrial and environmental disasters by educating competent major hazmat responders and ensuring a large spills response equipment, extensive environmental monitoring and measurement, procedures to deal with major fire and explosions and adequate disaster communication and coordination. Full article

Policies encouraging shifts towards more plant-based diets can lead to shortfalls in micronutrients typically present in animal products (B-vitamins, vitamin D, calcium, iodine, iron, selenium, zinc, and long-chain omega-3 fatty acids). We modelled the effect of fortifying foods with these critical micronutrients, with the aim of achieving nutrition and sustainability goals, using food consumption data from Dutch adults (19–30 years). Three dietary scenarios were optimized for nutritional adequacy and 2030 greenhouse gas emissions (GHGE-2030) targets, respectively, with the fewest deviations from the baseline diet: (i) the current diet (mainly vitamin A- and D-fortified margarine, iodized bread, and some calcium- and vitamin D-fortified dairy alternatives and iron- and vitamin B12-fortified meat alternatives); (ii) all plant-based alternatives fortified with critical micronutrients; and (iii) fortified bread and oils. Optimizing the current diet for nutrition and GHGE-2030 targets reduced animal-to-plant protein ratios from ~65:35, to 33:67 (women) and 20:80 (men), but required major increases in legumes and plant-based alternatives. When fortifying all plant-based alternatives and, subsequently, bread and oil, smaller dietary changes were needed to achieve nutrition and GHGE-2030 targets. Fortifying food products with critical micronutrients, ideally with complementary education on plant-based foods, can facilitate the transition to healthier and more sustainable diets. Full article

The economic crisis and decline in oil prices caused by the pandemic led governments in the Gulf Cooperation Council (GCC) region to step up their diversification efforts. Prior to the COVID-19 pandemic, the Gulf Cooperation Council (GCC) countries were already striving to diversify their economies away from dependence on hydrocarbons, with varying degrees of success. Their development plans and visions aim to shift their economies away from oil and gas toward knowledge-based post-oil economies with solid and sustainable foundations. Accordingly, this paper has three goals. Firstly, it aims to present the GCC’s socio-economic features and highlight the importance and relevance of economic diversification. Secondly, it seeks to analyze the impact of the COVID-19 pandemic on GCC economies and evaluate how the pandemic spurred diversification initiatives. Thirdly, the paper aims to analyze the present state of the knowledge-based economy in the GCC region, including its strengths, drawbacks, and prospects for the future. The methodology of the paper is based on a semi-systematic literature review that includes academic and gray literature. The findings highlight that throughout the previous several decades, continuous efforts to develop the status of ICT, education, innovation, and entrepreneurship in several GCC countries have contributed to improving their international competitiveness, as seen by advancements in rankings issued by various international organizations. Furthermore, political stability, significant financial resources, and a stable credit rating provide these countries with solid foundations for future sustainable development. However, several functional, structural, and cultural factors challenge the diversification process and the shift toward a knowledge-based economy. Full article

It is recognized that a closed mine is a three-dimensional resource that has great potential for redevelopment and/or reutilization. The first and most important step for the redevelopment of a closed coal mine is to perform an evaluation and to select the best strategy/approach for each closed coal mine. Currently, there is no standard assessment method, and different countries use different assessment methods of evaluation. In this study, a five-factor weight analysis method was developed and used for a closed coal mine assessment in Shanxi, China. The case study using this method provides the useful information for the redevelopment of the closed coal mine. The results suggested that the best and or most suitable strategy for the mine is the extraction of coalbed methane (CBM) in the goaf, mine water reuse, and storage for coal solid wastes. The study also suggested that the closed coal mine can be considered for use in culture tourism/education or as space for storage. For some particular closed coal mines, they have potential use for CO₂ sequestration, oil/gas storage, and bauxite resource development. Full article

Global obligations to achieve sustainable oceans by 2030 require countries to commit to solutions that balance ocean use and protection. To do so necessitates baseline understanding of the ocean’s contribution to socio-economic well-being, which we do by measuring the economic activity of ocean-related sectors. Economic assessments tend to be data intensive and are typically reliant on professional economists, yet they are increasingly relevant to non-economists who engage in ocean management and communication, where they are integral in facilitating trade-off analysis of future ocean change. Thus, there is a need to make ocean economic assessment more accessible to nonspecialists. We fill this need by providing a pragmatic framework for conducting an economic assessment using British Columbia’s ocean sector as a case study. Our results show the impact of the province’s ocean sectors on four economic indicators and indicate that the ocean contributed almost $5 billion (or about 2%) to provincial gross domestic product (GDP) and generated about 106,120 jobs (over 4% of the province’s total) in 2015. Of these, the marine transport sector made the highest overall contribution followed by cruise lines, with GDP impacts of 66% and 13%, respectively. It should be noted that this estimated economic value is not representative of the full value of the ocean as it excludes oil and gas, research and education, and other activities that do not meet our criteria for inclusion, and it does not account for cultural and ecological values. Nonetheless the study highlights the substantial number of economic benefits generated by the blue economy. More significantly, the framework provides a simplified procedure for quantifying economic benefits, and can be applied by nonspecialists to perform rapid economic assessments in a variety of contexts. Full article

Economic diversification is vital in achieving sustainable economic development, especially for countries relying on nonrenewable natural resources, such as oil and gas, in the case of the Gulf Cooperation Council (GCC) countries. Moreover, the global crisis caused by the COVID-19 pandemic underscored the significance of boosting resilience to adverse shocks. Indeed, the pandemic highlighted the need to promote nonhydrocarbon sectors by strengthening the fundamental pillars of the knowledge-based economy: ICT, innovation, R&D, education, entrepreneurship, and the economic and institutional regime. The COVID-19 pandemic has also shown how important it is to mobilize these pillars in record time. Like the other GCC countries, Qatar is seen as a transformative state, suggesting that, although oil and gas provide its primary export revenue, the government has also pushed to diversify its economy toward a knowledge-based one. Indeed, in 2019, hydrocarbons dominated Qatar’s economy, accounting for 90% of government income and 80% of export profits. However, this reliance exposes Qatar to fluctuations in the global oil and gas markets. Accordingly, economic diversification has come to the top of the government’s priority list. Preceding the COVID-19 pandemic, Qatar was already in the middle of an economic transition. The economic crisis caused by the pandemic and the drop in oil prices prompted the Qatari government to increase its diversification efforts. Qatar has a solid basis for transitioning to a knowledge-based economy based on its macroeconomic stability, suitable growth rates, and good governance. However, Qatar confronts several challenges in implementing the structural changes necessary for this transition. This paper has three objectives. Firstly, it aims to present the pillars of the knowledge-based economy and their link to the COVID-19 pandemic. Secondly, the paper aims to analyze the present state of the knowledge-based economy in Qatar, including its strengths, drawbacks, and its prospect for the future. Finally, the paper presents some structural reform recommendations to enable innovation, entrepreneurship, and education in Qatar. Full article

Energy security education explores various issues, such as a secure and competitive economy and nuclear safety. In the context of energy transition and sustainable development, it also addresses the world’s reliance on nonrenewable and renewable energy sources. The aim of this study was to identify research trends pertaining to energy security education, paying particular attention to renewable and nonrenewable sources. This was accomplished with the use of mixed-method research in two steps. The first step was a text-mining and content analysis of publications on energy security education published on the Web of Science platform between 2016 and 2021. From 660 publications on energy security education, titles, abstracts, and keywords were extracted and analysed with NVivo software to identify the most frequent concepts on energy sources in publications. The concepts were associated with nonrenewable energy sources (coal, natural gas, uranium, petroleum, and fossil fuels), nuclear power, and renewable energy sources (hydro, geothermal, solar, tide/wave/ocean, wind, solid biofuels, biogases, liquid biofuels, and renewable municipal waste). The second step was conducting detailed searches with Boolean operators, where “energy security education” was juxtaposed with the distinguished keywords. All searches on energy security education showed that publication activity tended to decrease, while citations increased. The most explored topics concerned: “fossil fuels”, “oil, petroleum”, “renewable” energy, and “solar” energy sources. An increasing trend was observed for all renewable energy sources as well as selected nonrenewable sources: “oil, petroleum”, “nonrenewable”, and “coal”. Additionally, R-squared values were calculated to indicate the fit of the trendline to the model. Due to the technologically enhanced energy transition and didactic innovations, education focussing on energy sources is expected to remain in demand. Curricula will need to be revised in the future to better reflect this reality. Full article