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Transformer Analysis:
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Monitoring the efficient use of transformers and suggesting replacements if oversized.
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The project at Balorman Çerkezköy facility resulted in approximately 1% energy efficiency improvement.
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Compensation Monitoring:
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Continuous monitoring and setting alarms based on %15-20 limits to prevent reactive or capacitive penalties.
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Balorman Bolu's real-time tracking of energy consumption and carbon footprint provides essential data for sustainability goals.
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ESG (Environmental, Social, and Corporate Sustainability) Score Calculations:
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Calculating and reporting sustainability scores according to European standards based on company data.
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Real-time calculations of energy consumption and carbon footprint at Balorman Bolu to meet IKEA's reporting requirements.
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Tariff Analysis:
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Analyzing electricity tariffs to recommend the most advantageous rates.
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Hourly PTF changes at a mining factory resulted in a 2% energy savings by optimizing energy-intensive operations during cheaper hours.
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Energy Cost and Invoice Forecasting:
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Tracking end-of-month invoices for multi-chain companies or multiple locations.
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Başoğlu Kablo's four facilities monitored energy consumption, enabling monthly energy consumption forecasts and inter-facility efficiency competitions.
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Compressor Monitoring:
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Monitoring efficient compressor use and preventing unnecessary consumption during standby.
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Balorman Bolu reduced compressor standby times by 70%, achieving energy savings of 70,000 TL in 7 months.
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Device-Based Tracking and Comparison:
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Identifying areas with savings potential through device or department-based tracking.
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Tebplast Beylikdüzü factory achieved 50,000 TL in energy savings by allocating energy-efficient injection machines to the spare production line.
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Job Order-Based Tracking:
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Tracking energy consumption based on job orders for accurate cost analysis.
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LOGO ERP-LUMIAN integration provided real-time energy consumption costs per order, enhancing cost accounting accuracy.
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Carbon Footprint Calculations:
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Automatic calculation of carbon footprint and providing suggestions to reduce emissions.
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Balorman Bolu reported the energy, financial, and carbon footprint contributions of consumed energy to IKEA.
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EDGE Feature:
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Utilizing the Edge feature to optimize data analysis processes and reduce server costs.
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Başoğlu Kablo's on-premise EoT platform with Edge capability reduced data traffic and accelerated data processing while limiting future server memory costs.
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Predictive Maintenance:
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Reducing unplanned maintenance periods through continuous monitoring and prediction of equipment failures.
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Conveyor A.S. prevented significant costs associated with mold distribution failures by issuing warnings based on vibration and energy consumption data.
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Indoor Air Quality Monitoring:
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Continuous monitoring of indoor air quality for employee health, cognitive performance, and product quality.
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Gençler Kablo monitored three departments, minimizing CO2 and PM10 levels with alerts for enhanced productivity and health.
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VAP Recommendations:
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Offering energy efficiency suggestions, such as inverter replacements and compressor upgrades.
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Polmar, Chep Palet Global, and Pakmaya received energy-saving recommendations with potential efficiency gains of up to 20%.
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Measurement and Verification Module:
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Calculating the impact of Efficiency Increasing Recommendations (VAP) for customers using international standards.
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Reporting investment returns in terms of energy, currency, and carbon footprint reductions.
These use cases demonstrate how the LUMIAN Energy Management Platform can be effectively utilized across various industries and business processes.