Sustainability Targeting
SEAP Sustainability Targeting (SST)
Measure, forecast, detect, and report on the effectiveness of changes in equipment and O&M strategies in terms of energy, sustainability, and workforce spend
Overview
SEAP's Sustainability Targeting (SST) Solution serves as the cornerstone of our energy analytics suite, providing users with advanced capabilities to assess and compare energy usage from installed equipment or modified O&M methods.
By quantifying key metrics such as energy savings to date, CO2 emissions reductions, and total lifecycle energy & cost savings, the Measure module within SST delivers a robust platform for gauging the impact of new installations or methods.
When integrated with permanent energy sensing points, SST provides users the ability to continuously monitor sustainability, energy, and financial KPIs for these assets and methods through its AI/ML engine.
Granular IPMVP Entry Capabilities and Advanced Analytics
SEAP's Sustainability Targeting (SST) solution transcends conventional boundaries by providing automated process management capabilities, facilitating the efficient creation of precise and tailored measures for energy conservation or renewable supply. Users can seamlessly link their energy conservation measures (ECMs) with existing International Performance Measurement and Verification Protocol (IPMVP) entries within the SST module.
The intuitive 'what if' scenario analysis further empowers stakeholders to project the value of future investments in energy efficiency or renewable generation, allowing for strategic planning and prioritization of conservation efforts.
We've integrated the tasks to perform this IPMVP with our Workforce Management Solution to optimally direct and measure the spend in terms of workforce time, monitoring equipment, and full cost to implement this sustainability targeting.
Digital Sensor Integration and Real-Time Energy Measurement
The integration of disparate IoT and legacy system data stands as a pillar of our software's capabilities, enabling the conversion of complex datasets into actionable energy usage information. The platform's ability to process real-time data conversions and virtual point amalgamations—e.g. multi-point gas energy readings to totalized kWh conversion—caters to a variety of energy management measurement requirements. The solution's versatility is exemplified by its capacity to amalgamate multiple sensory inputs, ensuring that every Joule (kWh) is accounted for accurately, thereby enhancing the accuracy of energy-saving measures and providing a solid foundation for verification.
With integration to our Alarming Solution, and our AI/ML based KPIs, our continuous monitoring of the efficiency expectation of an installed ECM or control strategy can automatically initiate tasks, on your terms, to review identified detection anomalies in maintaining expected efficiency over the life of the implementation.
