Energy Data Management
Energy Data Management from ReMoni is all about understanding resource consumption in each individual building in depth - from your main meter and down to the individual energy consumers.
This gives you a detailed understanding of your consumption, allowing you to uncover opportunities for initiatives that can save energy and meet regulatory reporting requirements at the same time using specific, data-backed, evidence.
Collect more than just main meter data
Monitor and optimize operations
Data-driven Facility Management
Overview
Using ReMoni’s own cloud platform and integrating data collected from ReMoni’s sensors and other sources, such as traditional meter data, a complete overview of energy consumption, divided into various systems and appliances, is provided.
This allows organizations to understand their consumption, identify inefficiencies, implement targeted energy optimizations, and validate and report energy-saving measures based on actual, measured, data.
By identifying and validating relevant sustainability and energy-reduction initiatives, you can take your sustainability and ESG agenda to new heights.
Service includes:
- Capturing real-time energy consumption data at appliance level.
- Energy consumption analysis.
- Solutions tailored for the specific needs of your organization.
- Extending data collection beyond main meter data, providing high-level overviews.
- Help with ESG and other sustainability initiatives reporting, and compliance.
- Drive behavioural change by promoting energy awareness.
Energy Data Management in buildings
Focus, prioritize, and validate your initiatives
Collect resource consumption data from your buildings using ReMoni’s overview or other sources, such as your EMS.
Use the collected data to identify the buildings with the highest energy consumption in the portfolio.
Pinpoint problem areas by involving facility managers and investigating the building's energy consumpti0n.
Enables you to analyze resource consumption, such as power, and identify the base and peak loads and correlate it to data on occupancy and building usage patterns.
You gain a comprehensive overview of buildings by conducting detailed data collection focusing on more than just main meters data. Accordingly, power consumption of specific units (e.g., ventilation) is being continuously measured.
The collected data is analyzed and compared to different measures, like indoor climate data and building’s occupancy, to identify potential energy-saving initiatives.
Make data-driven decisions and implement relevant energy optimizing initiatives.
With on-going data collection the concrete impact of implementing different initiatives is documented in great detail, allowing to effectively reduce energy consumption and CO2e footprint of the building.
The specific initiatives can be included in internal and external reporting like ESG-reporting.
The data can be used for follow-up actions and long-term changes, as well as evaluation of sustainability initiatives investments. The insight data, and achievements is also essential for attaining ISO certification(s) and ensuring compliance with ESG requirements.
Customer cases
ReMoni already serves several customers and here is what they think about our products and services.
ReMoni's solution helps us identify our electricity consumption across different units, so we can act accordingly and reduce consumption. The data gives us important insights, and in the long run, we can compare our construction sites and become better at improving our resource use.
Our other solutions
Predictive Heat Optimization
Optimize and control heating during non-occupied hours to reduce energy consumption and CO2 emissions in non-residential buildings using AI and ReMoni’s IoT clamp-on sensors.
ESG Compliance
Automated data collection for Scope 2 CO2 reporting with precise, real-time monitoring through ReMoni’s non-invasive IoT sensors as well as different initiatives for CO2 reduction.
Construction Site Optimization
Real-time energy consumption monitoring on construction sites at both micro and macro levels, identifying opportunities to reduce CO2 emissions through targeted energy-saving measures.