Advanced Energy Management SystemEDGE 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 capabilityReal time data capture, from various sensors and information emitting devise possible via our secure communications network. ThisWeb 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 consumptionDashboards, A personal, on-line communication interface before and after the implementation of the program. Additionally the userUsage 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 toolsException 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 modeCost 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.
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.
Advanced Energy Management SystemUp-front technology costs for DR-FIN program participation are attractive. The DR-FIN based automated DR program has arelatively 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, facilitatesrapid, consistent load shed responses from customers based on rate / tariff signals from the utility. The majority of theimplementations have been centrally dispatched by the utility with minimal customer input. This scenario has limited appeal tomost commercial building owners since they lose control of their building. A better way is to incentivize these customers toshift load by a more structured and organized manner, by publishing day ahead forecasted energy prices and real-time energyprices. The DR-FIN product has built in rule based analytic capability that can be pre-configured by the customer to decidewhat loads should be shed based upon its intrinsic value to the particular customer VS the price/rate offered by the utility. Wecan handle any data formats and signals; also can aggregate the real-time usage from the AMI system to show the impact ofthe 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 buildingmanagers and occupants make them aware of such conditions. You can adjust the set points for space temperature or chilledwater temperature. The DR-FIN integrates with any building control system. It ensures and activates its’ control over fanpower that we saved by reducing lift on the chiller, or by reduced plug-loads and/or using advanced light ballasts which candim and/or turn off unwanted lights. It can even integrate with the roof-top PV or other alternative energy source to switch overand 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.