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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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INNOVATIVE WAYS TO INCREASE ENERGY EFFICIENCY IN INDUSTRIAL HEATING SYSTEMS

Authors: RESEARCHER: A.Kh.Eshmamatov;

INNOVATIVE WAYS TO INCREASE ENERGY EFFICIENCY IN INDUSTRIAL HEATING SYSTEMS

Abstract

The rapid development of modern industry requires a continuous improvement of thermal processes and a rational use of energy resources. Industrial heating systems account for a significant portion of total energy consumption, and therefore, enhancing their efficiency is a key factor in sustainable development. This study explores innovative methods and technologies aimed at increasing the energy efficiency of industrial heating systems. The research emphasizes the integration of advanced heat recovery units, optimization of heat exchangers through computational fluid dynamics (CFD) analysis, and the implementation of intelligent control algorithms. Furthermore, the study discusses the application of nanofluids as high-performance heat transfer media and the utilization of waste heat for secondary energy production. The findings highlight that combining digital monitoring systems with energy-efficient materials can significantly reduce energy losses, improve process stability, and decrease operational costs. Such innovations not only contribute to reducing greenhouse gas emissions but also strengthen the economic competitiveness of industrial enterprises. Keywords: Energy efficiency; Industrial heating systems; Heat recovery; Nanofluids; Intelligent control; Waste heat utilization; CFD optimization; Sustainable development.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average