Buildings play a huge role in global energy cycles. This applies to both consumption and emissions. A compelling reason for companies to analyze their entire energy balance from a single platform and implement measures to reduce consumption and emissions.
The challenge: Knowing Consumption in order to Reduce it and Exploit Potentials
While buildings are responsible for 40% of global energy consumption and about 1/3 of greenhouse gas emissions, industry consumes about 54% of total energy. Energy consumption as part of corporate operations is a complex issue. Too complex to be actively worked on without an overarching structure that pulls together information from all sources. Determining the energy footprint of a global company alone is a mammoth task that can hardly be accomplished without reliable and standardized data. Data sources and usage patterns are too heterogeneous. If the information is to become a basis for decision-making and ultimately for action, the challenge continues to grow. At the same time, awareness of the need for accurate analysis of energy data for sustainable business development is steadily increasing. Energy savings, low operating costs, often longer equipment life and falling emissions, especially of CO2 but also others, represent a huge optimization potential for companies. This applies right down to the device level.
Companies are therefore dependent on solutions that support them in managing energy and emissions. IoT and AI technologies provide the appropriate foundation for enterprise-level intelligent models.
The solution: Holistic Energy Management in the Cloud
TCS Clever Energy – available in the Microsoft Azure Marketplace – helps companies achieve holistic energy and emissions management. The platform covers the various energy functions of a company. These include heating and cooling, process energy optimization, demand response, smart tariff management, and carbon management. Real-time energy data, compiled from various sites and partly proprietary systems, serves as the most important basis. This is the only way to create an overarching analysis, identify usage trends, and gain actionable insights. Using a digital twin and predictive analytics, companies make informed decisions that improve their energy efficiency.
Buildings change, consumption patterns change, usage varies, and last but not least, external conditions such as weather events influence energy consumption. TCS Clever Energy meets these challenges with self-learning and self-optimizing functions. The intelligent end-to-end architecture supports the integration of heterogeneous systems and assets – such as smart meters and sensors, building management/automation systems (BMS) or PLC/SCADA – across the enterprise. The integrated digital twin setup and AI/ML-based advanced intelligence data models also provide an integrated energy view that enables companies to make informed decisions through predictive analytics. A solution that also helps to be more energy efficient. TCS Clever Energy is based on the Internet of Things (IoT), artificial intelligence (AI) and the cloud, and has a strong data acquisition capability to connect heterogeneous operational technology (OT) and information technology (IT) systems across the enterprise.
The result: Fast ROI and decreasing Operating Costs
By implementing TCS Clever Energy, companies can save 8-15% of their operating expenses and reduce their CO2 emissions accordingly. 24/7 real-time energy monitoring leads to company-wide, consolidated data and thus the basis for sustainable decisions. Predictive analytics improves plant efficiency across all parts of the business.
The implementation is completed within two months and leads to a significant ROI of up to 300% after only 8 to 16 months. This impressive figure is made possible by the gain-share pricing model, in which pricing is linked to the energy savings achieved. New buildings and new structures can be easily integrated.
Click here to find the app in the Microsoft Azure Marketplace: TCS Clever Energy™