The building sector accounts for a significant proportion of global energy usage and carbon dioxide emissions. It is important to explore technological advances to curtail building energy usage to support the transition to a sustainable energy future. This study provides an overview of emerging and sustainable technologies and strategies that can assist in achieving building decarbonization. The main technologies reviewed include uncertainty-based design, renewable integration in buildings, thermal energy storage, heat pump technologies, thermal energy sharing, building retrofits, demand flexibility, data-driven modeling, improved control, and grid-buildings integrated control. The review results indicated that these emerging and sustainable technologies showed great potential in reducing building operating costs and carbon footprint. The synergy among these technologies is an important area that should be explored. An appropriate combination of these technologies can help achieve grid-responsive net-zero energy buildings, which is anticipated to be one of the best options to simultaneously reduce building emissions, energy consumption, and operating costs, as well as support dynamic supply conditions of the renewable energy-powered grids. However, to unlock the full potential of these technologies, collaborative efforts between different stakeholders are needed to facilitate their integration and deployment on a larger and wider scale.
Self-regulation may affect various results,ranging from physical and mental health to educational and social achievement over life-long course.Two main approaches are presented in the burgeoning body of definitions;and two core components of it,namely,self-monitor and self-control involve almost all the process models.Self-regulation is a limited resource relying on physiological resources.It is most notable in the prefrontal cortex for various processes,and controls the sub-cortical regions in a top-down manner.Applied researches on educational,industrial/organizational,and health context are relatively extensive.Future studies should pay more attention to comprehensive analyses of self-regulation,communication,and integration among different sub-domains,to the strength model of self-control,and to cases in the Chinese context and cross-cultural perspectives.
In this paper, a voice activity detection (VAD) method based on residue network and attention mechanism for VDR audio signal is proposed. First, several frame-wise acoustic features are extracted to eliminate audio data amount. Then, the frame-wise features are reshaped to construct 2-D feature maps. To facilitate parameter optimisation, a residue network is utilised herein to learn the complex mapping function from acoustic features to VAD output. Furthermore, to focus more on local information and suppress useless data, an attention mechanism is combined with the residue network to extract complex hidden information from the 2-D feature maps. Finally, the compressed 2-D features are flattened and refined by a dense layer to cover global information. The proposed method can automatically learn the mapping function efficiently and effectively. Experimental results show that the proposed method achieves the highest AUC, and the second highest ACC and F-measure compared with reference methods on the annotated real-world VDR audio dataset.
During the determination of sulfur dioxide in food by distillation method,each parameter of uncertainty was calculated and analyzed,the content of sulfur dioxide was 0.203 7±0.004 8 g/L(95% confidence probability).The results showed that the uncertainty was mainly due to the metered volume of standard solution and the repeated sample determination.
Abstract Multiple lightning strikes are a common phenomenon in nature, and their impact on the power system cannot be ignored. MOA is an important device for lightning protection in power systems, but under certain conditions multiple lightning strikes can cause thermal collapse of MOA. In order to study the mechanism of the thermal collapse of MOA valve plates caused by multiple lightning strikes, a microscopic model of zinc oxide crystals was established, the heat transfer performance of zinc oxide crystals was simulated, and the temperature field when the size of zinc oxide crystals and the area of the grain boundary layer was different were compared. In this paper, the mechanism for the thermal collapse of the MOA valve due to thermal stress was analyzed, and the reason why multiple lightning strikes are more likely to cause MOA energy overload than a single lightning strike was explained. This research provides reference for the selection and maintenance of MOA.
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