The problems of energy efficiency of energy production along with improving the environmental safety of enterprises are becoming increasingly relevant. One of the ways to solve these problems is the implemention of effective technologies, which include microflare incineration technology (MIT-technology) of gaseous fuels. The use of MIT- technology, in addition to a significant reduction in harmful emissions into the atmosphere, can simultaneously increase the energy efficiency of thermal power plants. A significant positive effect can also be achieved by using contact energy exchange plants. A striking example of such a gas-steam plant “Aquarius” the operation of which exceeds the efficiency of gas turbine plants by 10-12% with a simultaneous significant decrease in the concentration of toxic nitrogen oxides NOx and carbon monoxide CO in flue gases.
With the development of the cryptocurrency market, the need for automated support for mining hardware is growing. At present, there are practically no flexible systems for selecting equipment to fully meet the complex needs of providing complex features of mining processes, and software has not been developed that could take into account all the features of cryptocurrency developers. The purpose of this work is to develop the principles and algorithm for solving the problem of organizing the provision and selection of the necessary equipment for complex and powerful computing systems in the form of an automated system for the procurement and supply of the main computing and additional related equipment, organizing its installation, monitoring the conditions and characteristics of operation and subsequent output out of operation after the resource has been depleted or in order to increase the computational characteristics of mining farms and their cooling systems. Modern powerful computing systems are a huge amount of interconnected diverse equipment, located at different sites and interacting with each other by high-speed neural connections. The success of creating such complexes depends on the level of training of a team of specialists, which must have comprehensive and deep knowledge on the issues of building the engineering infrastructure of a computing complex, reasonable equipment with the necessary equipment, calculating the maximum energy load and providing such objects with a cooling system for computing elements and the system as a whole. Computing power is realized with the help of Data-centers, mining farms with more than 5000 computing modules. The problem of ensuring the quality of power supply of mining farms, a high level of efficiency in the use of power sources, protecting expensive equipment from overheating while ensuring high computing performance is very relevant, it requires constant attention and the use of special equipment and technologies. The developed system described in this paper relates to the management and optimization of resources of large computing centers, namely, to the organization of mass purchases of equipment, its installation and effective maintenance during operation, ensuring the efficient operation of cooling systems and the decommissioning of mining farms after completion. their work. This system allows users to create their own equipment catalogs in the form of models and then effectively organize the planning and management of devices in the form of an abstract model that consolidates all devices. Such a model is easy to control, find and perform actions on related objects, scale and make changes as needed. On the practical side, this developed product is simple in terms of the graphical interface and does not require much time for staff training and use in practice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.