Abstract: One of the existing most popular technologies for finding open bypass circuits to prevent hotspots is the measurement of surface temperature with an IR camera. However, this solution has defects. For example, the thermal image is affected by the reflection of surrounding structures such as antennas and buildings, and so on, and it is difficult to measure the true surface temperature of PV modules with an IR camera. To solve the problems mentioned previously, we developed new detection technology for open-fault bypass circuits. The stationary state reflection effect is deleted, and the position of the open fault part is identified exactly by the development technology. However, the reflection effect of moving clouds is not deleted. Therefore, we studied the advanced detection technology to delete the reflection effect of moving clouds. In this paper, the outline and effect of a new proposed technology is described.

Abstract: With the advancement of computational resources and methodologies, computational materials science has significantly reinforced experimental efforts and accelerated materials research and development. However, a significant disparity exists between experimental observations and theoretical calculations, primarily because of the structural simplifications often employed in computational models to enhance feasibility. Bridging this gap is challenging, especially when dealing with large, complex systems such as nanoparticles and interfaces. This requires solutions that extend computational simulations to emulate actual systems. In this study, we propose a method that utilizes the moment tensor potential (MTP) combined with active learning techniques for highly reliable and large-scale simulations of alloy nanoparticle catalysts and reactive dynamics at electrode interfaces.

Abstract: The escalating frequency and severity of natural disasters necessitates a fundamental reevaluation of operational strategies for critical microgrids serving essential facilities such as hospitals, emergency response centers, and security establishments. Traditional approaches to microgrid resilience – whether through preemptive islanding or responsive load shedding – are becoming increasingly cost-prohibitive and operationally risky. Preemptive islanding strategies, while protective, can trigger frequent false alarms that deplete valuable energy and fuel reserves. Conversely, responsive load-shedding approaches often result in significant operational disruptions due to inadequate preparedness for islanding events.
This talk introduces an innovative adaptive defense framework that bridges this operational gap through optimally balanced defensive strategies. Our approach leverages simulation-optimization techniques to capture the complex nonlinear dynamics during potential islanding transitions, enabling a defense plan that maintains operational economy while ensuring reliable islanding capability. The methodology's distinctive feature lies in its ability to dynamically adjust defensive measures based on real-time risk assessment, significantly reducing both operational costs and islanding transition-related disruptions.
The presentation will detail the mathematical formulation and solution methodology, with particular emphasis on the framework's application to inverter-dominated microgrids. We will explore the critical role of mode-transition-capable grid-forming (GFM) inverters and present a comprehensive analysis of current research developments in this domain. The discussion concludes by examining future research trajectories, including framework scalability for interconnected microgrid systems and its adaptation for emerging grid-edge technologies, with specific focus on enhancing resilience in critical infrastructure applications.

Abstract: Intelligent mine designs that integrate ESG principals are becoming essential in shaping the future of mining. The global demand for energy and the pace of change mean that coal extraction is likely to persist in the next few decades. Longwall mining, with its relative safety and potential to control seismicity impacts on critical structures, will remain an essential component of energy production while the transition to clean energies is in progress. While this method can lead to controlled and predictable ground subsidence, it also induces seismic events as the overlying rigid strata fail and collapse into the void left (gob) behind. Interestingly, however, decades of U.S. experience shows that a well-designed longwall extraction is generally associated with a lower likelihood of producing moderately large seismic events—typically those exceeding a magnitude of 2.6—compared to other forms of underground mining, such as room-and-pillar techniques or other human related activities such as solution mining and oil and gas operations.
The key to harnessing these benefits lies in the design and engineering of the mine layout including panel orientation, panel width, and pillar designs. A carefully planned layout can influence the pattern and intensity of stress redistribution, guiding the energy release in ways that minimize risk to both personnel and critical surface structures, complying with environmental and social standards. Four mature United States case studies incorporating geotechnical modeling, and monitoring systems are described to show the importance of intelligent mine layout designs in controlling seismicity when mining under stiff stratigraphic units in the western United States coal and evaporate deposits. This makes it possible to anticipate and manage seismic activity effectively.

Abstract: The construction industry accounts for a significant portion of global energy consumption, calling for innovative material solutions to achieve carbon-reduction targets. This study presents a cementitious composite system enhanced by nano-engineered phase change materials (PCMs) to simultaneously address thermal energy storage and mechanical performance. To stabilize the PCM and integrate it into cement matrices, two carriers were developed: (1) modified rice husk ash (mRHA) treated via melt impregnation and sol-gel routes to yield a nano-SiO2-reinforced DA-PEG/mRHA@SiO2 form-stable PCM; (2) thin-walled hollow microspheres with high-strength cementitious shells (SMHM), producing DA-PEG/SMHM@SiO2 form-stable PCM. Experimental evaluation of mortars containing these PCMs shows that the tailored support architecture and interfacial nano-modification synergize to refine pore structure, improve matrix continuity, and enhance compressive/flexural strength while providing effective thermal buffering. The results demonstrate a successful compromise between heat storage capacity and mechanical robustness. This work offers both design principles and practical preparation pathways for high-performance PCM-cement composites aimed at energy-efficient, durable construction materials.

Abstract: In steam reforming, polymerization/cracking of reactant could take place in parallel with reforming reactions, which are important routes for coking and might form coke of distinct nature with that from reforming. This was investigated herein by conducting decomposition or steam reforming of ethanol over Ni/SBA-15 catalyst at 400, 550 and 700 ºC, respectively. The results indicated that decomposition of ethanol formed more abundant carbonaceous species bearing C=C at 500–600 ºC than that from steam reforming. These carbon-rich intermediates were precursors of coke, rendering production of more coke (mass ratio of coke to catalyst in decomposition versus reforming: 48.6% versus 28.2% at 400 ºC; 86.4% versus 57.8% at 550 ºC; 28.7% versus 8.7% at 700 ºC), due to lack of steam to oxidize them into aliphatic oxygen-containing species (i.e. CO2*, C=O and C-O-C). High concentration of carbonaceous intermediates in decomposition of ethanol formed more aromatic and thermally more stable coke than that from steam reforming. Coking was the most significant at 550 ºC in decomposition or reforming, because of accumulation of carbonaceous intermediates from cracking and low efficiency for their gasification. This formed coke of irregular carbon nanotubes or carbon nanobeads with abundant aliphatic structures. Enhanced gasification rate at 700 ºC diminished coking, forming carbon nanotube of smooth surface and higher resistivity towards oxidation.