Carbon Capture and storage from fossil fuel power plants has gained the attention of scientists. A post-combustion CO2 capture has been conducted using ASPEN Plus V10 software based on amine absorption /desorption from natural gas combined cycle power plant. This optimization aimed to investigate the required solvent flowrate, required thermal energy and the economic analysis for 90?pture rate of the CO2 in the first case and 99% in the second case using monoethanolamine (MEA) as a solvent. The obtained results showed that increasing the capture rate from 90% to 99?uses an increase in the solvent flow rate by 12%. Also, the increase in the capture rate causes an increase in the capital expenditures (CAPEX) by 7%. The obtained results showed an increase of less than 15% in most of the parameters which are feasible to capture 99% of the CO2 at a reasonable energy cost.
The emerging use of electric vehicles running on Lithium-ion batteries (LIB) is growing. This development is primarily a response to mitigate environmental challenges such as climate change, where there is a clear global agenda for achieving net-zero carbon emissions in the future. One of the challenges in achieving future net-zero carbon emissions relates to the supply chain of raw materials used in the production of clean energy technologies.The challenge is to maintain the demand and supply of the clean energy market for these materials to sustain the production of technologies such as light-duty vehicles and portable devices. LIB's primary materials used to improve its performance and cost are cobalt, lithium, nickel, graphite, manganese, and aluminum. The rapid growth in electric vehicles and energy storage sectors amplified the global demand for manufacturing LIB.Recycling could play an essential role in reducing primary raw materials demand until 2040.
E-commerce sales have risen across the world and further accelerated by the pandemic to currently achieve levels it was not expected to reach until 2022. This increase has prompted companies to look for cost-friendly alternatives to tackle the 'last-mile delivery challenge. This work aims to solve the last-mile problem by using location-based crowdsourcing where individuals would compete to deliver packages in exchange for monetary compensation as a detour on their original driving route. Existing solutions have heightened environmental cost as crowdsourced workers often take long detours as opposed to optimal routes taken by delivery trucks leading to more fuel consumption and pollution. Additionally, the solutions offer inadequate compensation for workers and are catered to small-scale data and thus perform poorly when the number of tasks increases. Some challenges faced would include identifying the necessary parameters, optimizing the matching algorithm, and selecting a routing algorithm pertaining to the pickup delivery problem.
Nowadays, in order to tackle climate change issue, governments seek to integrate as much renewable energy as possible. For large industrial energy users such as cement, they require large amount of energy. So it's important to think about ways to integrate renewable energy from these industries. This paper investigates cement industries to find ways to reduce CO2 emissions from cement production process. This work represents a methodology for mapping energy requirements and optimizing renewable electricity integration.
The need to design an appropriate framework that includes the most important factors affecting leadership by a leader is important to obtaining the desired goals. The design of the framework of "Leadership Cost" depends on several basic factors, including change, organization culture, experience, commitment, innovation, quality. This paper explores in detail the literature on factors that may help in designing a framework for measuring the leader's value and the extent of its importance in leadership and the sub-factors related to each factor. The paper analyzes various factors from previous literature related to the same topic and then suggests a framework for the most important of these major factors and their explanations. Furthermore, it discusses leadership from a point of view that may help the organization along with its people to reach its full potential and maximize its success. As well as raising the level of leadership and institutional work.
Most electric cars nowadays have lithium-ion batteries (LIBs) as a power supply [1]. LIBs play a big role in sustainability if they are used as a renewable energy source to reduce the global warming effects that come from the traditional transportation methods [2][3]. Moreover, EVs will play a major role in the transportation sector in the UAE in the upcoming years, consequently, recycling is essential. However, there are no LIB recycling plants in the UAE, and the environmental and economic impacts of having such a plant are still vague. Another problem is that in the UAE, there are no studies that show the LIBs future trends, forecasts, and the challenges of having a LIB recycling market. Therefore, the goal of this study is to provide technical supporting materials to policymakers in the UAE and information to consider making a new LIB recycling plant for the UAE.
simple but yet effective fabrication method for reduced graphene oxide 3D structures was developed using template-directed technique. This method, based on dip-coating, was achieved by selecting the most optimal solvent through contact angle testing. Furthermore, the temperature for thermal reduction and thermal etching was determined through thermogravimetric analysis, and its efficacy was verified by X-ray diffractometer. Finally, scanning electron microscopy was utilized to study the morphology of the obtained free-standing TPMS structure.
Radar is a sensitive detection tool. Since its development, methods for reducing microwave reflections have been explored to improve the stealth technology. One of the methods for reducing radar reflection is coating the aircrafts by radar absorbing metamaterial. This research studys the radar absorption properties of a metamaterial which consists of a three dimensional structures printed with a polymer honey comb tilted structure coated by three layers of radar absorbing materials. The effect of the honeycomb with the geometrical parameters and tilted angle) on radar absorption properties will be simulated using COMSOL. Subsequently, the optimum structure will be fabricated using three printer technology. Then the optimized honeycomb structure of the three radar absorbing materials coated layers will be finalized by simulation using COMSOL. Finally, a free space measurement method integrated with vector network analyzer will be used to measure the electromagnetic properties of the optimum three layer coated-honey comb structure.
This work presents the effect of aliovalent dopants (La and Sm) on the supported Ni catalysts towards the dry reforming of methane (DRM) reaction. XRD and Raman were used to characterize the microstructure of the catalysts. Both dopants resulted in a cubic fluorite structure and increased concentration of the oxygen vacancies by introducing defects in the ceria lattice. The catalytic studies towards DRM showed that both catalysts had good conversion rates (c.a. 80%) and H2/CO close to unity after 12h of DRM. However, the La-doped catalyst exhibited enhanced carbon inhibition compared to Sm-doped catalyst.
This work explores the non-linear elastic behavior in a novel modified auxetic honeycomb structure. The current study focuses on experimental and numerical simulations to predict the elastic behavior of the structure. The phenomenon of non-linear elasticity in the proposed structure is achieved through the interaction of the internal surfaces upon compressive loading. Experimental and numerical validation are performed on a 2x2 cell auxetic structure made by FDM 3D printing.
