Cleaner Engineering and Technology最新文献

In this paper, a large-scale screw-extrusion 3D printer specifically tailored for additive manufacturing applications is introduced, primarily focusing on crafting parawood powder/polylactic acid (PLA) furniture. Boasting a large build volume (700 × 700 × 700 mm³), the printer incorporates a meticulously designed screw extruder to ensure the precise feeding of composite material pellets. The investigation delves into the nuanced relationship between variations in the extruder nozzle orifice diameter and the resulting impact on the extrusion rate, directly correlating these variations with the motor speed. Additionally, the influence of the parawood powder/PLA ratio is explored through comprehensive mechanical property testing of the printed specimens. Optimal outcomes were attained with a 15 %w/w parawood powder composition, yielding an impressive ultimate strength of 54 MPa under specific printing conditions. The efficacy of the large-scale screw-extrusion 3D printer was robustly validated through the successful production of a parawood powder/PLA stacking chair, meeting the criteria stipulated in the Thai industrial standard. Furthermore, an identified parawood powder/PLA component, characterized by a rectangular cylinder with a cross-sectional area of 19.4 × 24.0 mm², holds promising potential for versatile applications in furniture assembly. This innovative extrusion 3D printing approach, combined with meticulously optimized parameters, has unequivocal potential for manufacturing a diverse array of parawood powder/PLA furniture, elevating the value of parawood byproducts and contributing to waste reduction during processing.

The integration of Decentralized Energy Resources (DERs), Energy Storage Systems (ESS), and Electric Vehicles (EVs) into grid-connected networks presents a transformative paradigm in modern power systems. This article introduces a synergistic control framework tailored for optimizing frequency stability within grid-integrated distributed networks. The proposed approach leverages advanced control algorithms to orchestrate the dynamic interaction between DERs, ESS, and EVs, ensuring seamless operation and enhanced grid resilience. The effectiveness of the proposed control strategy is demonstrated in mitigating frequency deviations, thereby contributing to a more stable and reliable grid infrastructure. This article introduces a novel approach utilizing the Selfish Herd Optimization (SHO) algorithm to address this critical issue. Inspired by the self-preservation behavior observed in animal herding, the SHO algorithm is adapted to coordinate the operation of DERs with loads within a distributed network. By dynamically adjusting their output based on local frequency measurements, DERs collectively exhibit a self-organizing behavior, resulting in improved frequency stability. The SHO based PID controller is also proven to be far more effective at controlling frequency than the traditional PI controller. The findings underscore the potential of bio-inspired algorithms in enhancing the resilience of grid-integrated DER systems, offering a promising avenue for future grid control methodologies.

This research evaluated the performance of components and sections involved in industrial beer production using exergetic and exergoeconomics methodologies. The system was segmented into five production sections, and three energy input types were considered. The exergetic studies showed an operational exergetic efficiency of 3.33%, with an overall exergetic destruction rate of 5.54 MW and a specific destruction rate of 9.72 kW/hl for beer production. The overall improvement potential and sustainability index were estimated at 4.98 MW and 1.03, respectively. The brewhouse and packaging hall were identified as the sections with the highest production inefficiency, 58.73% and 30.40%, respectively. The exergoeconomic studies revealed a cost rate of 0.1704 USD/s for beer production, with the wort kettle, filling and cocking machine, Kieselguhr candle filter, whirlpool, and brite beer tank identified as the top five significant components in descending order. The efficiency of the system was critically affected by the activities in the packaging hall, particularly those involving energy inputs that cannot be recovered or attributed to the processed stream, beer. Further research is required to determine the cost savings of optimization measures identified from additional steam throttling, downsizing of some main pumps, and exergy loss during heating of wort and beer chilling processes.

Using a single hidden layer neural network in estimating orientation angles for solar photovoltaics lacks the complexity required to model nonlinear relationships between input variables and the optimal orientation angles for solar photovoltaics. It struggles to generalize well to new and unseen data. More sophisticated neural network architectures such as deep learning with multi-hidden perceptron (MLP) can solve these issues by changing the architecture by deepening the network. Deepening the network will increase complexity, energy consumption, and time complexity. The study uses a novel approach to outperform traditional MLP models with two, three, four, and five hidden layers. An innovative approach was proposed by enhancing a single hidden layer MLP with a quadratic polynomial function, utilizing two robust methodologies, Least Absolute Residuals (LAR) and Bisquare methods. The results demonstrate that these approaches yield significant improvements in Root Mean Square Error (RMSE) and coefficient of determination (R squared). LAR-based MLP showed superiority over both bisquare-based and conventional MLPs methods in R2 and RMSE, ranging from 1.13 to 1.18 and 2.53 to 3.06, respectively. The study outperformed conventional MLP architectures with five hidden layers regarding accuracy and efficiency. The proposed model offers a more effective and less complex solution for data prediction tasks.

In recent years, fuel cell co-generation systems (FC-CGS) have attracted attention for contributing to the environment and are becoming increasingly popular. Considering the current situation, technical specifications for general FC-CGS environmental impact assessments have been published by the International Electrotechnical Commission (IEC) Technical Committee 105 Working Group 14 (TC105WG14). Additionally, several combinations of renewable energy systems, energy storage, and energy-saving technologies have been proposed to obtain more environmental benefits. In this study, several scenarios for combining a polymer electrolyte fuel cell co-generation system (PEFC-CGS) with a battery and PV were created, system operation was discussed, and an environmental impact assessment was conducted. The evaluation was based on IEC standards, considering performance degradation during the usage phase. As a result, it was found that a system in which PEFC-CGS operated in load-following mode, combined with battery and PV, could reduce global warming potential (GWP) by about 36%. There was almost no difference in the PEFC-CGS degradation rate owing to the difference in the operating methods. However, the battery degradation rate showed approximately a 45% difference depending on the scenario. In addition, an environmental gain of ${\eta }_{eco-gain}$ was proposed that expresses the reduction rate from the BAU scenario. Finally, a sensitivity analysis was conducted by changing the weather conditions. The results showed that even when solar radiation was varied, eco-gain was much better than when PV was not installed.

In today's age, finding harmony between construction endeavors and safeguarding the environment is of utmost importance. Consequently, there is a substantial requirement to explore the feasibility of utilizing waste materials as a replacement for traditional construction substances. Unfortunately, there is a lack of information regarding the possibilities of incorporating recycled glass, rice husk, and sugarcane bagasse ash into concrete production. This study investigated the viability of integrating recycled glass fibres and agricultural waste ash into concrete to bolster its strength and sustainability. When evaluating mechanical and durability properties across five mixtures, the concrete formulations ranged in fibre content percentages from 1% to 3% and in ash content percentages from 10% to 20%. Specifically, Mixtures 1, 2, 3, 4, and 5 contained 1% fibre and 10% ash, 2% fibre and 15% ash, 2.5% fibre and 20% ash, 3% fibre and 12% ash, and 1.5% fibre and 18% ash respectively. Mixture 2 and Mixture 5, boasting heightened fibre and ash content, showcased outstanding compressive strength at 38.5 MPa and 37.2 MPa, respectively, indicating a positive correlation between these materials and concrete strength. Conversely, Mixture 3, burdened with excessive fibre and ash content, witnessed diminished strength, underscoring the necessity for meticulous optimization. In terms of tensile and flexural strength, Mixture 2 and Mixture 5 displayed commendable performance, while Mixture 3 suffered setbacks from excessive content. Durability assessments unveiled Mixture 1 and Mixture 4's superior freeze-thaw resistance, with minimal mass loss (1.5% and 1.8%, respectively) and no visible damage, rendering them favorable choices for sustainable construction. Contrastingly, Mixture 3 exhibited poorer freeze-thaw resistance and higher environmental impact, highlighting the need for careful consideration in material selection. Overall, this study underscores the importance of optimizing concrete formulations through the integration of recycled materials, paving the way for stronger, more durable, and environmentally friendly construction practices.

This study evaluated the potential of sugarcane bagasse fly ash, collected from boiler exhaust stacks via a bypass pipe, as a renewable supplementary cementitious material. The bagasse fly ash was ground into three different particle sizes (D₅₀ of 10, 20, and 30 μm) and characterized in terms of morphology, porosity, specific surface area, and pozzolanic activity. The influence of the ashes on paste hydration was investigated using isothermal calorimetry. Mortars were then tested with 20% cement replacement by fly ash, analyzing packing density, compressive strength evolution, and durability against sulfuric acid. Results indicated the suitability of the fly ash as a supplementary cementitious material, with low contamination and greater pozzolanic activity at smaller particle sizes. This enhanced initial hydration and long-term strength, with finer ashes showing superior mechanical properties when compared to the reference mortar (an 8% increase). Mortars with fly ash exhibited higher packing density and reduced mass loss under sulfuric acid attack, but increased water absorption and capillarity, alongside decreased compressive strength compared to the reference. Briefly, the findings highlighted that the potential of bagasse fly ash as a promising low cost and eco-beneficial material for sustainable construction practices.

Permeable pavement is an environmentally beneficial material that can ease urban problems and mitigate the effects of climate change, such as flooding, urban heat islands, and groundwater decrease. However, it is susceptible to clogging, has limited strength, and demands frequent maintenance. To overcome these problems, an untraditional fiber-reinforced permeable pavement with a low tortuosity pore structure that has an excellent infiltration rate and strength while being resistant to clogging has been studied in this research. Straight pore channels of various sizes and quantities were introduced into self-compacting concrete to create this permeable pavement. High-strength pervious pavement (HSP) samples with porosity ranging from 3.60 to 8.30% and 0–0.2% fiber content were tested. In all cases, HSP showed high infiltration rate (>1 cm/s), high compressive strength (>27 MPa) and tensile strength (1.5 MPa), low mass loss in potential resistance to degradation by impact and abrasion (>25%). However, it did not clog despite extensive cyclic exposure to flow containing sand, clay, and combined ‘sand & clay’. PP fiber content of 0.1%. The 3.60% porosity was found to be optimum considering all properties, whereas 8.30% porosity gave a higher infiltration rate with compromised properties. This permeable pavement can maintain sufficient porosity and permeability for stormwater infiltration without frequent maintenance. Adding polypropylene fiber reduces compressive strength marginally but increases split tensile strength, degradation and potential resistance. This novel fiber-reinforced HSP has the potential to expand the material's applicability. The results obtained from this research are expected to lead the way for a broader application of HSP in various contexts and initiatives that were not previously considered appropriate. This will eventually enhance the design and implementation of a new generation of flood-resistant infrastructure and significantly improve the ability to mitigate urban floods.

This research explores the usage of sustainability in literature and presents ‘three environments’ for addressing sustainability in the Civil and Construction Engineering (CCE) disciplines. Scholars have increasingly studied sustainability and sustainable development across CCE disciplines as the importance of sustainability awareness and action in society has increased. However, the vastness of its conceptual breadth and depth in CCE research is difficult to holistically evaluate. As a result, CCE researchers often focus on specific aspects of sustainability applied to discrete contexts, or address sustainability in broad aspirational terms and guiding motivations. This research utilized a rigorous analytical corpus linguistics approach for investigating CCE-based research published between 1989 and 2021 to capture a full view of the academic discourse surrounding sustainability in CCE. The research employed collocational network analysis to enable an expansive and comprehensive study of the concept of sustainability and how it is addressed by CCE researchers. The authors created a 25,920,583-word corpus from papers published in top CCE journals related to sustainability. Significant collocates of the word sustainability were then identified using collocational analysis, and their relationships mapped through collocational network analysis to uncover dominant research areas in CCE. Observations from over 30 years of sustainability research suggests that the CCE disciplines have largely anchored to generalized notions of sustainability, such as ‘the three pillars of sustainability.’ However, deeper analysis provides a more nuanced view. We propose an alternate paradigm of three interconnected environments where CCE professionals operate, highlight criteria for decision-making, and identify primary actions for sustainability.

Lithium, a vital element in lithium-ion batteries, is pivotal in the global shift towards cleaner energy and electric mobility. The relentless demand for lithium-ion batteries necessitates an in-depth exploration of lithium extraction methods. This literature review delves into the historical evolution, contemporary practices, and emerging technologies of lithium extraction. It scrutinizes environmental and economic impacts, identifies research gaps, and underscores sustainable extraction’s imperative. It examines conventional methods like spodumene mining and brine extraction, highlighting their advantages and challenges. Emerging technologies, particularly Direct Lithium Extraction (DLE) and geothermal brine recovery, are evaluated for their potential to revolutionize the industry. Environmental considerations, including water usage, chemical disposal, and habitat disruption, are assessed alongside economic implications. The review also identifies critical research gaps, beckoning the scientific community to develop solutions that meet lithium’s surging demand while safeguarding the environment. In conclusion, this literature review emphasizes the need for sustainable lithium extraction to facilitate a future powered by cleaner energy sources and sustainable transportation.