"We're holding on tight to our coal plants." Since 2008, annual coal production in West ia has dipped by nearly half, to about 82 million tons, though the industry - which contributes about $5.5 billion to the state's economy - has rebounded some due to an export market to Europe and Asia, Hamilton said.
DOI: 10.1016/jpind.2022.103647 Corpus ID: 244715234; A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process @article{Wang2021ANK, title={A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process}, …
Although the coal mining industry has implemented mechanization and automation, frequent coal mine accidents still occur, making coal mine safety a primary concern. To gain a comprehensive understanding of global progress in preventing coal mine accidents and managing safety, we utilized the Web of Science database (WOS) …
Learn how to prepare and impress your potential employer with your mining industry knowledge in an interview. Find out what to research, review, answer, show, and ask.
Information technology (IT) could facilitate knowledge management (KM) and contribute to growth of the Indian coal industry. We evaluated IT practices for KM at Coal India Limited (CIL), a state-owned behemoth that contributes 84% of India's coal production. Managers (n = 118) were surveyed to evaluate impact of IT on efficacy of knowledge ...
To understand the development status and frontier trends in the prevention and control of coal mine water hazards, a dataset of 962 articles indexed in Web of Science was used. Visualization maps were created using CiteSpace software to conduct statistical analyses on the publication volume, journal distribution, researchers, research …
Coal to gas fuel is the process of converting coal to synthetic natural gas (CTSNG). Four CTSNG projects have been put into operation by the end of 2019: a 2 billion cubic meters CTSNG plant of Yili Xintian Coal Chemical Industry Corporation Ltd., a 1.38 billion cubic meters CTSNG plant of China Kingho Energy Group Corporation Ltd., a …
AsianCAA enables knowledge-sharing on sustainable construction materials and other applications of coal combustion products. Researchers and industry participants can use AsianCAA as a platform to share and promote their work, educate members as well as the wider industry ecosystem.
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coal industry by constructing a profit maximization model, and Haixia et al. [9] explored the safety effects of the "three laws and one regulation" on coal production in China by …
The environmental impacts of mining are the subject of increased community scrutiny. In response to crucial environmental and community concerns we have invested over two decades of R&D developing science and technologies that help minimise environmental impacts prior to, during and post-mining, to support a sustainable future for the industry …
However, based on comparative health and safety statistics it is easy to claim that the Australian Vol 11 No 2 176 "Can shared coal industry knowledge be adapted to improve risk ..." – Shi, Kirsch & Sprott coal industry is a global leader in managing health and safety in high-risk environments.
(2) Establishing a Knowledge Management System. Because the coal industry currently does not attach great importance to CMEM knowledge and does not provide professional personnel for knowledge ...
Industry knowledge is information on how a particular company or business functions. It includes core processes and equipment needed to major companies and their key products and services. This information goes beyond academic content learned in school and instead requires years of active business in the industry. Gaining …
Industry knowledge results in improved revenues for a business, enhanced chances of getting hired for a job seeker, increased chances of promotion for an employee, and sound industry policies for a regulator. The article below will, however, dwell more on industry knowledge relating to general business and finance. ...
The study addresses a knowledge gap by focusing on objective knowledge of mining activities possessed by various stakeholder groups involved in coal industry. Although theoretical frameworks focused on the concepts of attitudes towards mining have already been presented e.g. by Viveros (2017), Zhang et al. (2015), Prno and …
We have launched ISKG for indirect coal liquefaction process, its oriented applications are of great significance in optimizing HAZOP, strengthening industrial safety and popularizing safety prevention awareness. ... An agent composition framework for the J-Park Simulator - A knowledge graph for the process industry. Computers & Chemical ...
The knowledge contained in HAZOP reports of different processes in industry is not the same, such as the electronic agile radar and the WS11 turbofan engine in the aviation industry, the Fischer Tropsch reactor and the circulating gas compressor in the coal industry, etc.
There are many industry bodies, located in Australia, New Zealand and overseas. Subscribing to any of their trade journals or magazines is an effective way of maintaining your industry knowledge. Bloggers are especially up-to-date, and often interview industry leaders to support their blog content.
In this study, we propose to introduce the knowledge graph technology into the knowledge management of coal mine safety production specifications, and build the knowledge graph by designing the ...
A slide from John Laurmann's presentation to the American Petroleum Institute's climate change task force in 1980, warning of globally catastrophic effects from continued fossil fuel use.
s e coal mine t e ontology ) to e8ectively e e m that e e no uni:ed, integration, d g of coal mine t e e in this :eld d e t r e construction of coal mine t e e graph.,en, aiming at e m …
Unfortunately, adopting knowledge management practices is not welcomed in the energy industry. These refer to the poor knowledge-sharing culture within establishments and deliberate knowledge hoarding that hinders the effective implementation of knowledge management in the energy industry. Cultural resistance …
In this section, all the work has been reviewed and analyzed in every sector of the mining industry to establish the existing knowledge/technology frontiers and identify the shortcomings. ... accounting for almost 97% of non-fuel minerals and 66% of coal production (DOE, Mining Industry Profile 2019; Ramani 2012).
DOI: 10.1080/00102202.2024.2327603 Corpus ID: 268823953; Visualization and Analysis of Mapping Knowledge Domains for Coal Functional Groups @article{Wang2024VisualizationAA, title={Visualization and Analysis of Mapping Knowledge Domains for Coal Functional Groups}, author={Tao Wang and Haiyan …
Industry knowledge, in finance and business, refers to a specialized understanding of the inner workings, nuances, and intricacies of a specific sector or field within the economy. It encompasses a comprehensive grasp of the unique challenges, opportunities, trends, regulations, and best practices associated with that particular …
This discussion will utilise the Data–Information–Knowledge–Wisdom (DIKW) hierarchy as a means of interrogating, firstly, the process of how the various industry stakeholders (referred to above) codify their tacit knowledge on safety issues in the coal mining industry; and secondly, how that data is then made available through …
Despite decades of knowledge about its contribution to climate change, coal combustion still accounts for 40% of global CO 2 emissions from energy use. The power sector must stop using coal ...
Why isn't coal a good choice of energy source? Coal has the highest level of carbon of all the fossil fuels. This means it produces a higher amount of greenhouse gas emissions from energy use, which is bad news for our planet.. When burnt, coal produces significant amounts of pollution and gas emissions, including sulphate and nitrogen that can …
This paper proposes a named-entity recognition model for coal mine equipment maintenance based on neural network (BERT-BiLSTM-CRF) and applies the model to the coalMine equipment maintenance data set for verification and results show that the entity recognition effect of this model is more leading than that of other models. …
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