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Energética India | September / October 2015

And, most of the times, the solutions for improving energy performance are known to the facility managers and it is a matter of asking the right questions to get them to start thinking in the right way. Once the right KPIs have been identified, then one can start mapping out the submetering and sensor infrastructure that would allow for either continuous or periodic monitoring of those KPIs (with an appropriate level of manual involvement). This largely depends on an organizations budget and how advanced it is in the energy management cycle. Once this foundation has been laid, then one can talk about the Energy Management and Information System (EMIS) that will be most suitable and relevant. Since there are so many EMISs that come in all shapes and sizes, this is typically a difficult exercise for the customers. However, if they have started the ISO 50001 certification process and the mapping out of the meters and sensors to the KPIs is already identified, the EMIS selection can be relatively simple. The organization needs to decide if they want a fully automated system, track the KPIs real- or near-real-time, and what kind of benchmarks they want to use to learn from best practices and to start identifying the right interventions, which is where most organizations typically start to struggle. A data driven decision making approach based on tracking KPIs can provide useful insights on opportunities for energy use reduction in functional and end use areas, making it easier to identify the right interventions or energy efficiency measures. When done right, this approach can significantly reduce the amount of time energy auditors need to spend on site to identify and quantify energy efficiency measures. Data driven decision making helps take a much more objective view, taking the ENERGY EFFICIENCY emotion out of what is often a difficult evaluation and resource allocation process. We are finding that a structured decision making process combined with the recent advances in energy monitoring and communication technology along with the advent of digitization of energy data is helping to cost-effectively address the credibility gap often found in the energy performance of facilities in general and green buildings in particular. The evolution of energy monitoring technology, cloud computing supported by advanced analytics, and the reduced cost of meters and sensors is allowing today’s enterprises to not only optimize energy performance of different systems and equipment, but to also do a much better job of multi-site monitoring through internal benchmarking and setting of targets, as companies take a portfolio approach towards energy management. They are being helped in this effort by the ISO 50001 framework that provides detailed guidelines in institutionalizing energy management systems (EnMS) as part of their management processes and to help in setting energy reduction targets. Fast tracking a data driven decision making culture helps organizations to get going on their energy efficiency journey, help reduce energy efficiency project development time and costs, and ultimately provide a better return on investments. This benefits not only the businesses, but can also strengthen a national energy efficiency program at a macro level Figure 2: Prioritizing end use within a facility for detailed analysis and energy efficiency measures implementation based on break-up of energy by end use. A competent internal team or service provider can help an organization in ISO 50001 adoption and compliance by offering services and solutions that meet the various requirements under the standard Fast tracking a data driven decision making culture helps organizations to get going on their energy efficiency journey 51 energetica INDIA · SEP | OCT15


Energética India | September / October 2015
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