Our Energy Asset Management Software

Modeling & Projections You Can Rely On

Traditional methods are often slow and error-prone, leading to doubts about the accuracy of the outcomes. Our turnkey solution leverages Xendee's:

Peer-Reviewed Algorithms: Based on extensive research, ensuring your models are both reliable and scientifically validated.
Standardized, Optimized Process: Designed to minimize errors and maximize efficiency, automatically calculating the most cost-effective solutions.

Our turnkey solution through Xendee Platinum DESIGN integrates:
Broad Technology Support: Over 25 technologies, including Gas Turbines, Gas Generators, Hydrogen, Solar Energy, Tidal Energy, Wind, Batteries, Thermal Storage, Boilers, Chillers, and other related technologies.
Multi-Domain Integration: We cover eight energy domains—electricity, heating, cooling, domestic hot water, natural gas, biogas, biomass, and hydrogen, all within a single, cohesive design system.
With our services, you can:
Support Long-Term Planning: Optimize all these technologies for up to 50 years into the future in a multi-year setup, including controller dispatch strategies.
Analyze for Optimal System Performance: Use Time-Series simulations, short circuit analysis, and automated transformer and cable sizing to evaluate and refine optimal solutions.

Effortless Data Transfer: Our turnkey solution uses APIs to facilitate the direct integration of data into Xendee, enabling numerous sensitivity analyses or managing multiple projects with ease.
Technology Catalogs: Access lists of technologies, simplifying the selection process for your energy models. Upload your technologies to the Xendee global catalog through Energy Syndicate.
Automatic Data Import: With APIs and manual input strategies, we integrate site-specific details such as weather data, fuel costs, solar radiation, wind speed, marginal emissions, fuel costs, and utility tariffs.
Flexible Load Management: We utilize multiple methods to import or project load data from information derived from site discovery. We aim that our models reflect real-world conditions.