
Real-time measurement of energy flows such as power, gas, and steam through IoT sensors, and automatic analysis of consumption patterns and abnormal load sections by time of day.
A. ESG (Autonomous Eco Smart Grid) is an AI-based energy platform that optimizes energy consumption and effectively reduces carbon emissions through energy usage pattern analysis, peak demand management, and real-time monitoring.
It also supports integrated operation with renewable energy, grid-connected control, and utilization of distributed energy resources to realize energy efficiency and supply stability at the same time.
A.ESG precisely monitors energy consumption through high-precision sensing and real-time data analysis, and AI automatically quantifies production efficiency to optimally control energy use.
It also supports technology-based strategic responses to realize carbon neutrality with automatic carbon emission reports and ESG regulation-responsive sustainability reports.
Real-time measurement of energy flows such as power, gas, and steam through IoT sensors, and automatic analysis of consumption patterns and abnormal load sections by time of day.
Analyze efficiency metrics by energy source and facility relative to production to automatically adjust operating conditions and minimize energy waste.
Automatically calculates CO₂ emissions based on power consumption and provides ESG reports and data history for CBAM-DPP response
IMPIX's Autonomous Eco Smart Grid (A. ESG) technology is a smart grid system that utilizes advanced technology to improve energy efficiency and sustainability in accordance with environmental (E), social (S), and governance (G) principles. It is an energy management solution that combines the latest information and communication technology (ICT), IoT technology, and artificial intelligence (AI).
Autonomous
Intelligent Energy
Optimization
Predict and automatically
optimize energy use
by facility
Real-time power
monitoring
Real-time analysis and
control of energy flows
through IoT sensors
Integrated operation
of distributed
renewable energy
Maximize efficiency with
Integrated management
of renewable resources
such as solar, ESS, etc.
Peak demand
management
Automatically detect peak
power periods to optimize
demand response control
Automatically calcul
ate carbon emission
Calculate and report
CO₂ emissions based on
power consumption
Integrated link
of ESG data
Integrated management
of ESG management
indicators by linking with
FEMS, MES, ERP, etc.
Monitor the supply and demand of electricity in real time to help you manage energy efficiently and optimize costs.
Identify weekly and monthly power usage patterns to autonomously predict and manage peak power. This helps to maintain consistent power usage patterns and ensure power supply reliability.
You can categorize direct and indirect emissions to systematically manage emission sources, and analyze emissions by process and facility to identify high emission points and establish reduction strategies. The calculated carbon data can also be utilized as ESG management indicators and emissions trading system response materials.
Integrated Energy Control, Line Energy Control, and Facility Energy Control allow you to visualize and control energy flows and carbon emissions across the entire plant in real time.
Real-time graphs and dashboards make complex data easy to understand for everyone from the front line to the top management
D²(디스퀘어)는 BOD 데이터를 통합 수집·관리할 수 있는 데이터 허브 역할을 수행합니다.
KS X 9101 기반의 BOD Dictionary를 활용해 표준화된 동사·명사 사전(DB)을 구축하고, 이를 바탕으로 BOD 데이터의 구조적 관리와 연계 도구 활용이 가능합니다.
임픽스는 2019년 스마트 공장 구축을 시작으로 다양한 AX전환 사업을 수행함으로써
중소/중견기업 맞춤형 BEST PRACTICE 사례를 구축하였습니다.