Volume-10, Issue-11, November 2024

Abstract

The article discusses the issue of metal hydride tanks for hydrogen storage, their types, distribution and direct implementation of tanks in the real operation of equipment. The article also deals with certification and describes all the necessary tests established by the standards, which the designed metal hydride tank must successfully pass. The article also mentions the design of a tubular metal hydride tank, the outer diameter of which is 60.3 mm.

Keywords: Metal hydride, pressure tank, certification.

References

References not available

Abstract

The series of articles (Analysis of the selected types of waste treatment by plasma technology. Part I., Part II.) discusses the processing of selected three types of waste using plasma technology. In this second part of the article, the processing of fly ash from municipal waste, silicone rubber and asbestos-cement material using plasma reactor technology is presented. At the end of the article, the effectiveness or the contribution of individual experiments focused on the processing of the mentioned solid wastes using plasma technology.

Keywords: Plasma Technology, Fly Ash from Municipal Solid Waste (MSW), Silicone Rubber, Asbestos-Cement Material.

References

References not available

Abstract

The article in question deals with the issue of cooling the designed tubular metal hydride storage tank with the use of active and passive cooling modules, which are implemented in the designed storage tank. The passive module used in the tank is realized by means of an aluminium heat transfer intensifier, which is placed directly in the metal hydride alloy of the tank, and as an active cooling module, air at a temperature of 10 °C is considered, and in the second simulation, an air temperature of 30 °C is considered.

Keywords: Metal hydride, pressure tank, hydrogen

References

References not available

Abstract

Artificial Intelligence (AI) has increasingly been included in the range of enabling technologies and tools that support and streamline the process of Development. This led to the promotion of domains such as AI for Good, AI for the Poor or AI for Development (AI4D). But, doing so, it is implicitly assumed that AI complies with the distinctive features of ICT4D such as affordability, relevance, openness and ownership. In this paper, it is shown that AI does not fulfil most of these characteristics and that the term AI4D does not seem to be grounded. To a certain extent, the use of this acronym is misleading and against the fundamentals of the Technology for Development. Decision makers in developing countries shall ponder all factors related to the use of AI and embrace a wider perspective in elaborating and sustaining their national digital transformation strategies.

Keywords: Artificial Intelligence, AI4D, ICT4D, Technology for Development, National Digital Transformation Strategies.

References

References not available

Abstract

Coal quality is heterogeneous at scales relevant to mining, sampling and utilization, and the point at which a sample is collected may influence the quality that is reported for a mining operation. This study evaluates sampling-source-dependent variability in coal from Sharda Underground Mine, Kanhan Area, Western Coalfields Limited, Madhya Pradesh, India. Coal samples collected as drill, seam and belt samples were examined for moisture, ash, dry-basis volatile matter, fixed carbon and gross calorific value (GCV). Three observations were available for each sampling source. Drill and seam samples showed closely comparable GCVs of 4651.18 and 4623.04 kcal/kg, respectively, whereas belt samples averaged 4116.68 kcal/kg. The corresponding mean ash contents were 34.12%, 35.90% and 43.14%, while mean fixed-carbon contents were 35.33%, 35.21% and 30.20%, respectively. Under the Indian non-coking coal GCV classification, the drill and seam samples fall within G9, whereas the belt samples fall within G11. Thus, the observed sampling-source difference was sufficiently large to change the apparent GCV-based grade of the sampled material. The results demonstrate that representative sampling is important when coal quality is assessed for grading or utilization and that a single sampling point may not adequately represent the quality of the material moving through an underground mining operation. The study is presented as a mine-level case study and provides a basis for larger, time-resolved sampling programs in Central Indian coal mines.

Keywords: Coal Heterogeneity, Representative Sampling, Coal Sampling, Proximate Analysis, Gross Calorific Value, Indian Coal, Western Coalfields, GCV-based Grading.

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