Arloid AI Announced for Building Management System

In response to rising energy prices Arloid Automation is bringing new add-on technology for building management systems to enable accurate, predictive and automatic energy savings without any capital outlay. Arloid AI brings artificial intelligence to any building management system for smart energy saving. Heating, ventilating and air conditioning systems can all be optimised for maximum gain without any loss of comfort to occupants.

Arloid works with any BMS system

Artificial intelligence is increasingly penetrating people’s daily lives, helping to do routine and mechanical tasks dozens of times faster. The main benefit for all of us is the more efficient use of our most important resource – time. Also, Artificial Intelligence plays an important role in improving processes that we don’t really notice – diagnosing and predicting diseases, accelerating the process of creating drugs, automating production and logistics processes, and much more.

One of the narrow areas of application of artificial intelligence is the reduction of energy consumption and carbon footprint in buildings. Buildings are one of the main sources of electricity consumption. In particular, the global real estate market that consumes about 60% of the world’s electricity consumption. In terms of carbon footprint, operating costs, which include the energy needed for heating, ventilation and cooling, account for 28% of global CO2 emissions. At the same time, according to Morgan Stanley’s Digitalization Index report, the real estate market ranks 33rd out of 34, being one of the most conservative in the field of technology application. Fortunately, this is changing rapidly, which has led to a boom in the emergence of new innovative companies that are ready to offer the real estate market a greater variety of solutions using unique technologies.

Arloid Automation uses an advanced machine learning approach called Deep Reinforcement Learning, or reinforcement learning, which is used to automate the operation of Refrigeration, Ventilation and Air Conditioning (HVAC) systems. Optimization occurs through the automatic control of each of the connected HVAC devices to the network, in real time, where Artificial Intelligence makes decisions on its own, without human intervention, based on more data flow. This approach allows property managers to achieve up to 30% energy optimization over the installed building management system (BMS), while ensuring the proper level of comfort. This is all achieved via a secure Virtual Private Network (VPN).

Arloid.ai has already been applied in a number of countries including Singapore, United Arab Emirates, China and Europe in a wide range of real estate, covering a total area of 1.6 million square meters, covering retail properties, hotels, office buildings, logistics centers and medical facilities.

As an example, after the implementation of the Arloid solution, one of the 320,000 sqm malls in downtown Dubai was able to achieve an 18% energy optimization and a 16% cold water optimization after the first month of operation. AI managed 93 FCUs (Fan Coil Units) and 30 AHUs (Air Handling Units) in 279 thermal zones, applying 4,428 changes per day, resulting in $309,153 monthly cost savings.

The main advantages of the Arloid solution are that there is no capital cost to start work, the current infrastructure of the building is used, the connection to the building occurs without interruption of operations, and a 10% savings guarantee is provided. The application of a patented approach to teaching artificial intelligence also allows you to:

  1. Train at the level of the digital twin of the building for 30 days, which is at least 3 times faster than available solutions on the market
  2. For each building, AI is trained separately, which gives personalization in the algorithm
  3. Decisions to change the parameters of HVAC devices are applied by AI independently, which allows you to apply unique approaches to optimization.

Working with Arloid takes place in 5 stages:

  1. The Arloid team will provide a questionnaire that will assess the possibility of working in a building with the current infrastructure.
  2. Based on the information provided, connection options will be offered, and as a result, Arloid engineers will establish a connection within an hour.
  3. Next, the process of learning artificial intelligence will begin. To do this, a digital twin of the building will be created, the boundaries and parameters of the work of Artificial Intelligence will be set, after that, historical weather data will be added according to the geolocation of the building. Based on certain parameters, Artificial Intelligence will go through millions of variations in the use of the HVAC system in conditions of different building occupancy – from 30 to 100%.
  4. As a result of the training, the Arloid team will provide indicators of the baseline consumption and optimization for the next 12 months, as well as describe in detail and clearly how the optimization will be achieved.
  5. After receiving the “green light” to start the implementation of the Arloid solution, the team will launch the work of Artificial Intelligence in the building, and also provide the building team with a solution for monitoring and controlling the work of AI – a control interface and a mobile application.

To start saving and take a step closer to improving the environment, there is no need to spend obscene amounts of money, a lot of time and your own resources. Today’s technologies will make it possible to make a quantum leap towards improving the quality of life for us and our future generations.

For more information, visit https://arloid.com/.

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