dc.contributor.author | Tojiboyev, Suhrobxon | |
dc.date.accessioned | 2025-10-02T08:10:44Z | |
dc.date.available | 2025-10-02T08:10:44Z | |
dc.date.issued | 2024-11 | |
dc.identifier.issn | 2350-0328 | |
dc.identifier.uri | https://dspace.kstu.uz/xmlui/handle/123456789/358 | |
dc.description.abstract | This study investigates the implementation and impact of automated control systems in industrial heat supply, focusing on their ability to enhance energy efficiency, cost savings, and system reliability. Using a mixed- methods approach, the research combines qualitative case studies and quantitative data analysis over a six-month period in a large-scale industrial facility. Key performance indicators such as energy consumption, operational costs, and system downtime were evaluated. The findings reveal a 20% reduction in energy consumption, 15% cost savings, and a 25% improvement in system reliability compared to traditional systems. The study highlights the transformative potential of automation, particularly in sectors with high energy demand, such as chemical manufacturing. However, challenges such as high initial investment costs, integration with legacy systems, and cybersecurity risks remain. Recommendations for phased implementation, workforce training, and leveraging financial incentives are provided to foster broader adoption.
This research underscores the critical role of automation in achieving operational excellence and sustainability in industrial heat supply systems. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Journal of AdvancedResearch in Science, Engineering and Technology | en_US |
dc.subject | Automated control systems, industrial heat supply, energy efficiency, cost savings, system reliability, predictive maintenance, SCADA, IoT, machine learning, sustainability, industrial automation. | en_US |
dc.title | Automated Control Systems Of Industrial Heat Supply In Modern Conditions | en_US |
dc.type | Article | en_US |