Shift Energy - Introducing EOS
Launched in 2014, EOS adds enterprise-wide, Intelligent Live Recommissioning (ILR) capabilities to our existing EMIS platform. By applying smart algorithms to our “big data repository”, EOS is able to derive a new, optimal plan for each building every minute of the day, and immediately action the plan using the building’s existing building automation systems. EOS saves 30¢ to 80¢ per minute for each building, resulting in a typical annual portfolio energy savings of 20% to 35%.
What is Intelligent Live Recommissioning?
The term commissioning comes from shipbuilding. A commissioned ship is one deemed ready for service. Before being awarded this title; however, a ship must pass several milestones. Critical equipment is installed and tested, problems are identified and corrected, and the prospective crew is extensively trained.
Building commissioning applies the same principles in new buildings. When a building is initially commissioned, it undergoes a quality assurance process that begins during design and continues through construction, occupancy, and operations. Commissioning ensures that the new building operates as the owner intended and that building staff are prepared to operate and maintain its systems and equipment. Commissioning has largely come to refer to the process of setting up a building’s controls and equipment to best meet the building’s and occupants’ needs. Recommissioning occurs when a building that has already been commissioned undergoes a subsequent commissioning process. As a building ages, its requirements and uses change, and, as such, the initial commissioning relevance “drifts”. This results in less overall efficiency and higher costs of ensuring occupant comfort. Recommissioning is the process of re-aligning a building’s operations and controls according to its new needs. Continuous recommissioning is the acceptance of a building as a “living eco-system“ that requires constant adjustment in order to maximize performance.
After 5 years of close partnership with our dashboard customers and energy systems integrators, SHIFT learned that it takes more than information to drive sustainable energy savings in buildings and across enterprises. Although real-time analytics highlight the opportunities to save money on energy, it is often difficult to action the continuous recommissioning activities required to ‘realize’ the opportunities – mostly due to resource bandwidth and technical constraints. Our customers needed a way to automate these actions in order to consistently drive savings. When we set out to automate continuous recommissioning, we discovered that through the application of software-based technology, our target savings potential could be realized and even enhanced by applying a concept called Intelligent Live Recommissioning (ILR).
The ILR process is twofold. It involves (1) constant, real-time analysis of all of the data points and parameters that influence energy and occupant comfort in buildings, and (2) constant re-adjustment of the parameters impacting equipment and building performance. In the case of EOS, this adjustment is actuated using any existing building automation.
A typical facility generates more than 5,000 unique variables each minute that can impact energy performance. Proactively processing, correlating and making sense of this volume of data is not manually possible. The unlimited processing power of our cloud based data center and the conjunctive use of smart algorithms allow us to optimize a building or portfolio of buildings as a complex energy eco-system. The convergence of big data analytics with limitless computing power and smart engineering algorithms underpins the concept of our Energy Optimization System (EOS™) . Turning analytics into automated action through tight integration with existing building automation, EOS is the world’s first end-to-end, comprehensive energy management solution.
Why Intelligent Live Recommissioning?
Extend capabilities of existing building controls Traditional building automation systems have been designed to effectively operate building equipment for the purpose of ensuring occupant comfort. In many cases, they have not been implemented to consider the energy-related costs associated with maintaining space conditions. As such, there is a significant opportunity to find ways of meeting space requirements with as little energy waste as possible.
Effectively optimizing for both comfort and energy efficiency can be a difficult mathematical task that requires significant processing power. The emergence of big data analytics, cloud computing and the Internet of Things (IOT) allows for a new level of mathematically-driven building automation focused on both comfort and energy performance.
Take a Comprehensive Approach to Energy Optimization
Although real-time analytics highlight the opportunities to save money on energy, it is often difficult to action the continuous recommissioning activities required to ‘realize’ the opportunities – mostly due to resource bandwidth and technical constraints.
It takes more than information to drive sustainable energy savings in buildings and across enterprises. Energy managers and building operators need a way to automate these actions in order to consistently drive (and retain) savings. The best way to do this is to take a federated approach.
EOS’s primary objective is to drive continuous energy savings and ensure occupant comfort requirements are met or exceeded. EOS treats each building or portfolio of buildings as a complex energy eco-system, and utilizes its extensive library of optimization strategies to achieve the largest net positive effect on the eco-system. These strategies include predictive demand management, central plant optimization, thermal modeling and others. Each strategy is configured specifically for each unique building as part of our engineering-focused implementation.
Take Advantage of What Technology Has To Offer
Since the late ‘70s, both the processor itself and the ‘smartness’ of application software have exponentially increased. From controlling an unmanned rover in Mars to beating a grand master in Chess, what seemed impossible has become common occurrence. With the emergence of technologies like the Internet of Things (IoT), cloud computing and big data analytics, it has become possible to turn a previously unintelligent shell into a smart, self-managed building.