Among several key business metrics of Chief Sustainability Officer in real estate industry energy efficiency and carbon footprint play leading roles. And they become even more important with upcoming EU legislation on reducing greenhouse gas emissions “Fit to 55”, that requires to cut emissions by 55% by 2030. At the same time these metrics are probably the most challenging to improve due to several factors:
- Lack of big data and transparency in internal energy consumption and operations of building systems
- Lack of professionals in energy efficiency space
- Lack of simple and affordable diagnostics and recommendation tools for making informed and qualified energy and cost optimization decisions
- Lack of professional expertise in energy retrofits
Traditional technologies and approaches in existing buildings, that represent over 80% of targeted facilities, may not bring sufficient results to achieve significant, long-term improvements in sustainability, for several reasons. Traditional building technologies and approaches were developed primarily for reasons other than sustainability, such as durability and ease of construction. As a result, they may not have been designed with sustainability in mind, and may not be optimized to reduce energy use, and other sustainability-related factors. Legacy building systems and operations procedures are familiar and comfortable for many professionals in the real estate industry, and there may be resistance to changing them. This can make it difficult to adopt new, more sustainable practices.
The famous business proverb says: you can only manage and optimize what you measure. Modern principles of improving sustainability metrics are based on big data and these steps:
- Big Data collection: This data can include information on energy use, water consumption, internal processes, carbon emissions, and other sustainability-related factors.
- Data analysis: Once the data has been collected, it is analyzed using big data analytics tools and techniques. This analysis can help identify patterns, trends, and insights related to sustainability, such as areas of high energy consumption or inefficient processes.
- Performance optimization: Based on the insights gained from data analysis, the next stage is to achieve high performance operations through reporting, recommendations and notifications.
- Continuous analysis: To ensure ongoing sustainability, continuous analysis, reporting and feedback are essential. This can include providing regular reports to stakeholders, sharing progress updates, highlighting areas for improvement and developing feasibility studies for energy systems retrofits.
The HiPerWare platform is designed to enable sustainable and energy efficient operations and maintenance and can be implemented easily in both new and existing environments. It collects operational big data without disrupting processes, creating a digital twin and digital trail of operations, and analyzing every aspect of building system performance. By identifying inefficiencies or anomalies in critical facility nodes, it allows to determine areas for improvement and proactively mitigate the risk of sudden outages using predictive intelligent analytics. In addition, live digital twins in HiPerWare are built with BIM, 360 photo panoramas, electrical single-line diagrams and schemes, streamlining fields services and navigation in a building.
HiPerWare increases energy efficiency by up to 20%. It reduces energy consumption and the reliance on fossil fuels, reduces CO2 emissions.
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