The Cooling Degree Days (CDD) method is a key technique for assessing a building’s cooling needs. This article explores the CDD method and demonstrates how Enectiva can automate CDD calculations using local weather station data and configurable parameters. What is the Cooling Degree Days Method? The cooling degree day method is used to estimate the cooling requirements of a building. It is based on the difference between the daily average outdoor temperature and a reference temperature, often called the “base temperature”.

The Heating Degree Days (HDD) method is an essential tool for energy management in buildings. It measures the energy demand for heating based on temperature variations. This article explains the HDD method in detail and how Enectiva simplifies its use by automatically calculating HDDs using local weather station data and configurable internal parameters. What is the Heating Degree Days Method? The Heating Degree Days method is used to estimate a building’s heating needs.

One powerful technique that has emerged to address the challenges associated with large datasets is the management of energy through reports “chunked” into smaller reports. This innovative method simplifies the process of handling long reports, which leads to better data accessibility. What is Report Snapshot Chunking? In order to generate data faster, a large report can be divided into smaller, more manageable sections or “chunks.” These chunks are created based on specific criteria, such as time intervals, data categories, or user-defined parameters.

Energy management and efforts to prevent energy waste have become a significant topic for many companies. Is your motivation a commitment to resource protection? Do you want to find out where your company can save energy? Do you want to save money? Is the market pressuring you? Whatever your reasons, the ISO 50001 energy management system may be the solution for you. How to implement ISO 50001 into an existing integrated management system

At Enectiva, we continually innovate to enhance user experience and efficiency. We developed the possibility for users to personalize their entity types, ensuring that the platform is not only powerful but also intuitively aligned with their specific needs. “We are currently seeking new regional partnerships. If you are interested in selling our Enectiva solutions in your region, please contact us at partners@enectiva.com." Entity types in Enectiva refer to the various classifications or categories that users can assign to different assets, locations, or data points within their energy management ecosystem.