1. Advanced Energy Management System
EDGE ENERGY introduces an Automated Advanced
DR-FIN products is a "best-of-breed" Green Building Management
Energy Management System to Measure, Manage and
Monitor large public facilities. We have designed, System (GBMS), Security Access Control System (SACS), and
developed and deployed this real-time Energy Computerized Maintenance Management System (CMMS) platforms
Management System that measures, monitors and together in a single offering to
manages devices, with the most advanced visualization provide users with the most
tool including these following features: comprehensive web based
monitoring and control capability
Real time data capture, from various sensors and
information emitting devise possible via our secure
communications network. This
Web based tool, that provides information related to the
Energy/carbon usage foot print, and the usability is designed to system has the following capabilities;
suit multiple industry and regulatory needs
The Figure 1 is an illustration allows the user to view energy consumption
Dashboards, A personal, on-line communication interface
before and after the implementation of the program. Additionally the user
Usage reports can simply drag and drop a meter and it will automatically program all the
Usage curves of electricity, gas, steam, chilled water and oil modbus registers, and the web application. The detail has been drilled-
consumption
Usage comparison of multiple locations or same location down to the sub-meter level at the breaker panel.
for different time periods
Electricity usage and associated cost allocation for selected The Figure 2 is an example of an Energy
time range
Daily demand profiles Dash Board that can be run across multiple
facilities. It allows the user the analytic tools
Exception reports
Daily consumption values exceeding forecast necessary to spot problems quickly. The KW
Location logs for any selected time period, reflecting cost data is stored either on the customers drive
associated with excess electric consumption
Day-by-day load profile comparing actual load plots to or in our cloud in S3. The data thereafter can
forecasted load and customer established thresholds be aggregated and displayed in various formats that lend the user greater
Hourly Data Reports aggregate total electric consumption
across all locations understanding of the usage impact.
Weekly location load data with day-by-day comparison Whether it’s displaying your carbon
Weekly load profile for sub-meters or feeds
footprint, KW per square feet, KW per ton,
Alarms & Notifications KW per student, the user is always in full
Pre-designated parameters activate system alarms, control of the data that is deemed
delivered instantly via e-mail or email-enabled phone/pager
Alarms triggered when consumption, demand or price significant to the particular application.
approach preset parameters
Enhances system reliability, reducing the chance of The Figure 3 depicts a faculty floor plan that dynamically allows the facility
unanticipated costs
News, Weather & Technology –convenient links/websites owner to view the measured environmental elements status in real time.
We also store the data and can play it back like a DVR in time lapse mode
Cost Estimation allowing the user to play the last 24 hours in 1 minute. Graphically, the
Generates energy cost estimates for one or all metered
locations user can better visualize the heat loads generated over various time
Generates utility-type bills on a calendar or billing cycle
periods and more readily identify areas of excessive inefficiencies. This
Verifies utility bills and allows “what-if” scenarios to
evaluate new pricing programs application permits dynamically viewing floor plans across multiple facilities.

2. When it comes to peak demand & demand response/ management
Advanced Energy Management System Large CNI
• it is not the residential sector Residential
• largest peak energy consuming building sector is Medium CNI
commercial & public buildings /facilities Small CNI
The figure 4 provides the user with an intuitive reading of the carbon impact created within a single area or multiple areas as a
point of energy efficiency reference. The X-Y axis plot the gas and electrical consumption, the color coded designation of the
graphic ranks the area based on past performance and the size of the graphic depicts the carbon emission. Imagine the
immediate insight that a four dimensional reading across the various areas of a single building or multiple buildings could bring
to bear on the system inefficiencies inherent in every structure. The shading of the
graphic is moderated in real time which allows the user to readily discern micro trends
as well as longer time frames.
Figure 5 shows how one can graphically
demonstrate a real time metering system with the
auto programming feature based upon our BOG-
O-Matic software.
Identifying energy waste over the breadth of all the user facilities allows the user to address
the issues of greatest priority in terms of real-time performance. Imagine the regional or
even global efficiencies that can accrue to the user when the individual facilities are
displayed comparatively with respect to their carbon impact. Below the largest level of carbon emission is shown in red and the
magnitude of gas usage relates to the sizing of the rectangle. Whether locally or globally, as shown below, the J2 framework is
interoperable, connects data from multiple server sites for the purpose of data analysis or demand response. This same
framework can be applied to individual buildings, faculties, regions, and or any other data set of significance to the user.
Image Slicer is an application that we built that allows Building Automation
Companies to build their own graphics through the web. This same tool can be
utilized to customize the way you
look and analyze energy data and
are of particular value in
establishing and monitoring energy
budgets.
This screen shots demonstrate the software’s capability to not only display
energy efficiencies but more importantly initiate demand shed measures based
on user set points. System generated email, text message or voice calls are
automatically launched when thresholds established by the user are violated. (i.e., the logic could activate a 10% shed when
90% of peak KW allowance is exceeded) The possibilities for monitoring and affirmative action are unlimited.
Based on interactions with our customers, there are three main components to DR that will make it attractive to building and
facility owners and operators:
First, the implementation must save them money. Customers will not be attracted to high up-front costs, long payback periods
or limited savings opportunities. Second, it must be convenient and easy to implement. DR-FIN integrates with any building
operating system, thus significantly simplifying the process - price signals trigger automated responses from buildings based
on preset rules to adjust energy consumption and environmental conditions accordingly.
Finally, customers want to be the ultimate decision maker when it comes to their energy consumption. Depending on specific
circumstances, building operators may or may not want to participate in DR events, and it is important that they maintain the
option to opt out.

3. Advanced Energy Management System
Up-front technology costs for DR-FIN program participation are attractive. The DR-FIN based automated DR program has a
relatively low capital cost and short payback period associated with these programs. The DR-FIN allows the customer to reach
its full load shed capacity without the need for additional building operations
resources. Our R&D and industry experience focused on the ease of use and
full integration with existing systems, as convenience is an important factor in
gaining full advantage of this program. Consumers will not effectively
participate and respond to price signals if information is difficult to access
and implementation is time-consuming. Our objective is ensuring larger
participation leading to a much larger load shed and provides the utility a
near-real-time visibility to the program as it happens. Intuitively, this makes
sense because customers are not always able to respond to price signals
and may not track them closely. The DR-FIN, on the other hand, facilitates
rapid, consistent load shed responses from customers based on rate / tariff signals from the utility. The majority of the
implementations have been centrally dispatched by the utility with minimal customer input. This scenario has limited appeal to
most commercial building owners since they lose control of their building. A better way is to incentivize these customers to
shift load by a more structured and organized manner, by publishing day ahead forecasted energy prices and real-time energy
prices. The DR-FIN product has built in rule based analytic capability that can be pre-configured by the customer to decide
what loads should be shed based upon its intrinsic value to the particular customer VS the price/rate offered by the utility. We
can handle any data formats and signals; also can aggregate the real-time usage from the AMI system to show the impact of
the any such program.
So how does the DR-FIN really work? On any hot summer
afternoon, air conditioners start working harder. Wholesale power
prices skyrocket and distribution lines become overburdened due
to the peak load on the grid. We experience such scenarios
within every utility. As the scenario develops, the DR-FIN will
allow utilities to pass a price signal to handle such conditions—
whether it is a curtailment incentive or a real time price. Let’s
assume the peak hour prices could be 10x the average off-peak
rate, and smart meters and Automatic Metering Infrastructure will
enable these types of rate structures to be passed on the DR-FIN
or through a dedicated GPRS/GSM network.
The DR-FIN receives that price signal—from the web or from the
smart meter and provides the control capability to do a number
of things in response. Information and alerts sent to building
managers and occupants make them aware of such conditions. You can adjust the set points for space temperature or chilled
water temperature. The DR-FIN integrates with any building control system. It ensures and activates its’ control over fan
power that we saved by reducing lift on the chiller, or by reduced plug-loads and/or using advanced light ballasts which can
dim and/or turn off unwanted lights. It can even integrate with the roof-top PV or other alternative energy source to switch over
and avoid the peak-rate and gain higher ROI including the benefits of the renewable energy investment.
If you are a utility, a facility manager or owner, this system will help you save energy,
reduce carbon, increase your green footprint, and reduce energy costs.

4. Advanced Energy Management System
Representative Client list:
CONTACT:
Prakash Menon: (818) 522 9115 - prakash.menon@wns.com
Tim Owens: (602) 526 7698 - tim@edgeenergyllc.com