Taiwan Association of Engineering and Technology Innovation: E-Journals
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Performance Analysis of Open Steam Power Cycle Powered by Concentrated Solar Energy
Get PDFThis study aims to develop a concentrated solar receiver designed to directly generate steam for driving a steam turbine within the steam power cycle of a carbon-free system. The solar power system consists of parabolic dishes, evaporation tanks, and a steam turbine, and the experimental setup was tested on different days, analyzing the measured parameters with the EES software. Results from the investigation indicate that, under the optimal conditions with a maximum recorded temperature and pressure of 143 ℃ and 2.5 bar, respectively, and a vaporized water mass of 100 grams, the manufactured turbine achieved a maximum isentropic efficiency of 92.48% and a power of 1.76 W. Notably, the evaporation tank and the mini steam turbine demonstrated the capability to generate steam and mechanical power, respectively, without relying on conventional energy
Synthesis and Characterization of Phase Change Microcapsules Containing Nano-Graphite
Get PDFThis study uses the sol-gel method to modify the phase change microcapsules. The phase change material (PCM) is encapsulated by a polymer shell to reduce the leakage in the solid-liquid transition. Furthermore, the nano-graphite particle (NGP) is introduced into the shell to increase its thermal conductivity. The particle size and enthalpy value of the obtained microcapsules are approximately 3 μm and 150.3 J/g, respectively. The results show that the encapsulation efficiency of PCM in the prepared microcapsules is increased and the crystallization rate of PCM becomes faster when the NGP is added. The obtained microcapsules and wood flour are incorporated into high-density polyethylene (HDPE) to form a wood-plastic composite (WPC). The results indicate that the tensile and impact strengths of the WPC are 24.1 MPa and 48.7 J/m, respectively. Moreover, it is observed that the addition of these phase-change microcapsules can improve the heat dissipation of HDPE and accelerate the speed of thermal diffusion
Closed-House Biofilter Design and Performance Evaluation for Mitigating Environmental Odor Disturbances
Get PDFBroiler-closed houses typically lack reduction technology, leading to environmental issues, namely odor. Processing technology can be used, namely biofilters. This study aims to design and construct a closed-house biofilter and perform a test on the biofilter to reduce odors. Odors are measured by the odor gas concentration (ammonia and hydrogen sulfide) and hedonic scale by the panel method. The biofilter consisted of an odor source (closed house), a humidifier, and a biofilter reactor. Factors that influence the size of the biofilter reactor from gas removal activities include air flow rate, retention time, and air volume. The proposed biofilter can reduce the odor from the broiler. Reactor temperature, relative humidity, and bacterial activity affect odor reduction. This successful implementation of a biofilter significantly mitigates odors in a closed-house broiler, addressing a critical environmental concern
Quality Model and Quality Characteristics Evaluation Suitable for Software 2.0
Get PDFSoftware systems incorporating artificial intelligence (AI) technology are called software 2.0, and their development is spreading in various fields. The purpose of this study is to enable quality engineers to easily evaluate the quality of software 2.0. For this purpose, this paper proposes a quality model that can be used by quality engineers. In order to propose a new quality model for quality engineers, this paper selects and reorganizes quality elements from general-purpose quality models and guidelines, and reconstructs quality characteristics and their evaluation methods. The quality model is considered useful for quality engineers. The paper also identifies important quality characteristics in 24 different application areas and confirms the applicability of the proposed model. The result shows that the model is useful for quality engineers to evaluate the quality of software 2.0
Temperature Compensation Model for Monitoring Sensor in Steel Industry Load Management
Get PDFThe iron ore industry faces increasing electricity demand due to industrialization, making effective management of electricity demand crucial. This study proposes a temperature compensation model using Support Vector Regression (SVR), aiming to enhance the accuracy of sensors in monitoring electricity demand. An experiment is conducted to assess the impact of temperature on sensor measurements, and a modified Whale Optimization Algorithm is employed to correct the sensor outputs. The proposed model is compared with both PSO-SVR and unimproved WOA-SVR. Results show that the proposed model significantly improves accuracy, achieving a determination coefficient of 0.7882 and a relative standard deviation of the error square sum of 4.6412%. The results of this study not only enhance power demand management in iron mining but also hold potential applications across various industries
Influence of Grid Integration of UPQC with Solar Power on Power Quality
Get PDFTo satisfy the expanding usage of power electronics in grid-integrated applications, an unified power quality conditioner (UPQC) is regarded as an effective power tool contributing to power quality issues. Voltage interruption problems remain unresolved even if UPQC handles current harmonics and voltage sag/swell. This study proposes a solar energy-based UPQC to export active power to the grid. The suggested method utilizes photovoltaic (PV) power for power quality management and a boost converter to send the remaining active power back into the grid. The PV-UPQC configuration’s operation is simulated using MATLAB/Simulink. The PV-UPQC system can compensate for resultant harmonics, correct voltage sags, swells, and the maintenance of load voltage at its nominal value in addition to actively supplying the power grid. A considerable decline is observed in the THD of the load current from 104.66% to 2.56%. Conversely, a 97.55% decrease in load current THD is achieved
Proactive Prevention Strategies for Grid Risk Scenarios Based on Pumped Storage Participation
Get PDFGiven the increasing importance of cascading trip prevention, this study presents the pumped storage characteristics to cooperate with thermal units and further ensure the safety of grid operation. The proposed model comprises two phases: the first phase is the day-ahead decision-making phase, which synergistically optimizes thermal units and pumped storage to improve the flexibility of grid operation; the second phase is the intra-day adjustment phase considering the uncertainty of the wind-photovoltaic and transmission line failure outage to enhance the robustness. Furthermore, this model employs a column and constraint generation algorithm to solve the two-phase, three-layer optimization problem, thereby minimizing the adjustment cost under the riskiest scenarios. The experimental results show that adding pumped storage reduces the total system operating cost by 3.99%, the renewable energy abandonment rate to 0.65%, and the thermal power unit output standard deviation to 74.13 MW
Marine Characteristic Changes Associated with Typhoon Soulik Observed Using Wave and Underwater Gliders
Get PDFTo assess the impact of Typhoon Soulik on the marine environment, unmanned platforms, specifically wave and underwater gliders, are used for surveys in the East Sea. From August 20 to 30, 2018, the wave glider collected meteorological data, while the underwater glider conducts CTD measurements within the typhoon’s impact zone. The data are compared with marine buoy data from the Korea Meteorological Administration and forecast model outputs using RMSE and correlation coefficients to evaluate the characteristics of each data source. The unmanned platform effectively capture the marine environmental changes during the typhoon passage, and the forecast model results show relatively lower RMSE and correlation with the observed data. The study also determines the time required for conditions to revert to pre-typhoon states. This research demonstrates the potential of unmanned platform data for enhancing marine surveys and forecast model accuracy
Critical Assessment on the Stability and Convergence of the Conventional Gear Tooth Contact Analysis
Get PDFMathematical modeling of gear engagement is crucial during design to ensure optimal performance in manufacturing. This study reproduces the conventional tooth contact analysis (TCA) model, highlighting convergence issues in parallel-axis gears and limitations in local synthesis methods. The research critically analyzes the TCA method, which solves five nonlinear equations to assess performance and accuracy. Simulations replicate the conditions of previous studies to ensure valid comparisons. Initial guess values are randomly generated within a specific range to guide the iterative process toward convergence, with this range progressively narrowed to improve computational efficiency and accuracy. Results indicate that the TCA approach is highly sensitive to initial guess values, particularly the starting angular position. Convergence issues arise from the complexity of nonlinear equations and multiple roots. This can lead to divergence or reverting to the initial guess when values deviate significantly from the true solution
An IoT-Based Autonomous System for Oil Spill Detection
Get PDFOil is a vital global energy source, yet oil spills pose severe threats to marine and human life, causing significant economic, environmental, and social impacts. The dense consistency of crude oil complicates the cleanup of oceans and seabeds. To address this issue, an autonomous system utilizing IoT technology has been developed to efficiently remove crude oil debris from water surfaces. This innovative system skims the oil layer and simplifies the cleanup process. Performance tests at a constant rotary speed of 18 rpm shows an average removal rate of 107.88 ml/min of oil. They are increasing the number of rotary discs notably improved efficiency, doubling the oil collection with each additional disc. Leveraging IoT technology allows remote operation and real-time data monitoring via a mobile app. This solution offers a sustainable and eco-friendly approach to oil spill cleanup, making it particularly valuable for Bangladesh's context due to its viability and cost-effectiveness