Sub - Metering Solutions
Energy metering for the purposes of load segregation is a critical step within the energy management process. Sub-metering provides process management capabilities that deliver data on capacity related issues, process inefficiencies and allows for proper resource planning as manufacturing processes or loads change with expansion.
EES has the experience needed to fully develop a sub-metering solution that encompasses the various metering technologies needed to sub-meter the specific energy resource.
Landlords have the option to bill their tenants based on SQFT or provide sub-tenant billing. Subtenant billing typically pertains to electric, gas, heating and cooling btus. The optimal position is to negotiate a fully allocated tenant billing lease agreement with subtenants where the utility costs are able to be allocated to the facility's tenants.
EES has the expertise to provide utility metering of the subtenant utilities and provide a turnkey tenant billing solution that will be able to self generate utility bills for the tenants of the building space.
Energy Load Segregation
Industrial facilities looking to tackle their energy spend or their central plant resources require energy load segregation to be able to break down the energy consumption of their various process and infrastructure loads.
EES has the expertise needed to design the sub-metering architecture to fully segregate utility loads. Reach out to us to see how we can help you with your energy load calculations.
The Power of Data
We all know the power of the data and the impact it can have on critical decisions that can have lasting impact. EES offers both cloud and locally installed metering and process data integration services for our customers who are looking to better understand their energy use. Our customers derive value from the metering and process data we integration by implementing the following initiatives within their processes:
- Downtime Allocation - Our customers are able to utilize metering data to allocate operational downtime to their packaging equipment to develop their OEE benchmarks. Electric, compressed air and nitrogen data reflects equipment downtime and nitrogen purge cycles needed to product filling chambers to maintain product quality.
- Quality Assurance - Oxygen, Nitrogen and Moisture meters installed within product filling chambers ensure product quality as nitrogen is throttled to ensure fill chamber nitrogen purity. This is especially critical for the packaged foods industry that require low oxidation (O2) percentage in the finished product.
- Electrical Capacity Limitations - The impact of system capacity constraint are many times hidden until the perfect storm of circumstances take place. These perfect storm events can catch the facility off-guard and can cause significant impact on a business' operations. As industrial automation continues to replace human labor within the manufacturing process, additional strain is placed upon a facility's electrical, compressed air, nitrogen, and cooling systems. Metering of site utilities can catch these anomalies on a continuous basis and help to signal issues through system alarms and notifications to facility leadership. Correlating system data points with changing weather, shift, and production SKU can also provide the needed data to understand why things happen when they happen.
- Process Impact Knowledge - Industrial facilities size their support systems with OEM equipment specs. Unfortunately, many times the OEM specs are not accurate and the equipment prove to be more of an energy hog than originally planned. Utility metering will provide the data needed to understand true energy requirements and process changes needed.
- Can't Manage What You Don't Measure - Continuous and historical data is key for process improvements to identify issues and to quantify the impact of any changes made to the system. Many firefighting exercises result in randomized quick fixes that end up bandaging up issues only to cause other problems down the line or to solve an issue temporarily only to see the problem arise again, weeks or months down the line. Having the needed data to benchmark system improvements will provide the data needed to deliver lasting process improvement.