First Steps Towards Gamification Of Online Physics And Mathematics Assignments

The objective of this practice paper is to describe and analyse the use of online learning tasks on engineering mathematics and physics courses. The development of learning tasks was inspired by the promising effects of gamification techniques in higher education. Hence, some gamification elements, such as bonus points and immediate feedback were integrated into the learning tasks. Course results and student feedback demonstrate the positive impact of gamification of online learning tasks on students’ motivation and learning. In the end, further possibilities of increasing the number and repertoire of gamification techniques in engineering mathematics and physics courses are discussed

Thermodynamic analysis of a condensing evaporator in an evaporative gas turbine cycle

Low efficiency is the main stumbling block preventing the widespread adoption of small-scale gas turbines in distributed energy production. The evaporative gas turbine cycle has been proposed as a way to improve efficiency, but the large number of components required make the configuration complex and expensive. The condensing evaporator is a component that simplifies the evaporative gas turbine cycle. The heat and mass exchanger device is designed for an externally fired application, which means that the flue gas stream is replaced by moist air. The air-water mixture condenses inside a tube bank, releasing heat to the evaporating water film on the other side of the tubes. Similar inventions include the tubular humidifier and the Maisotsenko compressed air saturator, which also aim to make the evaporative gas turbine cycle more economically feasible. Available theory focuses on either humidification towers or evaporative condensers in HVAC applications. The tubular humidifier has been analyzed in a similar manner as humidification tower since the flow configurations of the two components are similar. However, the theory of humidification towers is not directly applicaple to the condensing evaporator. This study proposes a method of analysis of the condensing evaporator in power generation

Thermodynamic analysis of a condensing evaporator in an evaporative gas turbine cycle

Low efficiency is the main stumbling block preventing the widespread adoption of small-scale gas turbines in distributed energy production. The evaporative gas turbine cycle has been proposed as a way to improve efficiency, but the large number of components required make the configuration complex and expensive. The condensing evaporator is a component that simplifies the evaporative gas turbine cycle. The heat and mass exchanger device is designed for an externally fired application, which means that the flue gas stream is replaced by moist air. The air-water mixture condenses inside a tube bank, releasing heat to the evaporating water film on the other side of the tubes. Similar inventions include the tubular humidifier and the Maisotsenko compressed air saturator, which also aim to make the evaporative gas turbine cycle more economically feasible. Available theory focuses on either humidification towers or evaporative condensers in HVAC applications. The tubular humidifier has been analyzed in a similar manner as humidification tower since the flow configurations of the two components are similar. However, the theory of humidification towers is not directly applicaple to the condensing evaporator. This study proposes a method of analysis of the condensing evaporator in power generation

Influence of moisture content, temperature, and time on free fatty acid in stored crude palm oil

Consequent to the importance of crude palm oil (CPO) to global food processing industries, and the need for quality assurance of CPO. A kinetic model that describes changes of free fatty acid (FFA) in industrially stored CPO has been developed. CPO FFA is a well-known indicator of the deterioration of CPO. The effect of initial moisture content, storage temperature, and time on CPO FFA have been investigated in this work. Specifically, statistical multi-regression models for changes in FFA and moisture content (MC) were developed at P-value < 0.05 or 95% confidence interval fence. It was found that CPO FFA increases with an increase in moisture content, temperature, and time in their linear term and in respect to decreases in their quadratic term, and interaction between moisture content and temperature. The CPO MC was also found to decrease with an increase in temperature and time and increases in the quadratic term of temperature. Although while the model for CPO FFA, based on Fisher's F-test: F-model(6.80) < F-95%(19.30), showed no lack-of-fit; that of CPO MC showed lack-of-fit, F-model(13.67) not less than F-95%(4.39). Furthermore, based on inference from the statistical model, their kinetic models were also developed. While the CPO FFA kinetic, found to be a half-order kinetic model and its other auxiliary models showed a very good fit (R-2 {0.9933-0.8614} and RMSE {0.0020-3.6716}); that of CPO MC was a poorly fitted first-order kinetic model (R-2 {0.9885-0.3935} and RMSE {0.0605-17.8501})

Design, techno-economic evaluation, and optimisation of renewable methanol plant model: Finland case study

The current global energy crisis, emphasises the need to simultaneously reduce fossil energy consumption, accelerate renewable energy development, and mitigate global warming, which may arise from situations of dirtier fuel usage. Consequently, this work highlights how captured carbon dioxide from fossil power and manufacturing plants, together with hydrogen purportedly produced via water electrolysis (powered by residual energy from fossil and renewable power plants), can be used to synthesize methanol. Therefore, a methanol plant model was proposed and designed. Multivariable regressions for the plant model were developed and optimised. Furthermore, deduced optimal were used to develop a Langmuir-Hinshelwood-Hougen-Watson (LHHW) kinetic equivalent to the Gibbs reaction model used in the simulation. Also, the plant cost analysis was performed at the optimal, and hydrogen cost was found to constitute the highest manufacturing cost component, hence the costdetermining factor of the plant. Finally, cost-to-size models for various cost components were also deduced.IGA/CebiaTech/2023/004; U.S. Department of Energy, USDOE; Anhui University of Technology, AHUT; Univerzita Tomáše Bati ve ZlíněDepartment of Energy; Internal Grant Agency [IGA/CebiaTech/2023/004]; Tomas Bata Universit