Since 2007, Google has achieved carbon neutral status and has a goal of reaching 100 percent renewable energyfor all its facilities, data centers, and operational systems by the end of 2017. The implementation of artificial intelligence (AI) will also revolutionize your operational systems and help your company improve energy consumption so your business becomes more sustainable.
Consider the following four ways you can use AI in the workplace to reach your own corporate social responsibility (CSR) goals of one day consuming 100 percent renewable energy and reducing your carbon footprint.
Data Center Optimization
Optimizing your data center with the implementation of AI can help your company save on energy costs. Swap out old IT equipment with upgraded systems that deliver cost-effective power with efficient cooling fans and processors. Your company can also reduce energy usage by up to 40 percentwith energy-efficient cooling fans and an integrated intelligence framework. This framework uses machine learning and predictive modeling to learn the facility operational systems interactivity to fine-tune the infrastructure, then easily adapt to compensate if issues occur. AI uses complex algorithms to manage data storage through data mining and analysis, data compression, and usage of deduplication software.
Robotic Process Automation
Robotic process automation (RPA) can save your company money on energy costs. This software fusion of AI and machine learning can complete high-volume, repetitive tasks in place of humans. RPA technology can save manufacturing companies on energy costs with automated production lines as well, since heating and cooling temperatures do not have the same requirements as optimal human occupancy thermal comfort levels. Companies in the US spend 13 percentof energy costs for heating and cooling buildings. Many times, energy is wasted by keeping areas of the building warm or cool when occupants aren’t in those spaces.
One AI technology solution developed by scientists at the University of Maryland is a Roving Comforter(RoCo) RPA device. It’s basically a small heater on wheels that follows users around the building, but it’s an innovative way to keep occupants’ thermal comfort level high, while also saving on energy consumption by not heating and cooling unused areas.
Big Data Analysis
You can use an intelligent energy management system (IEMS) in your facility that utilizes AI with integrated machine learning, big data analysis, and predictive modeling. It will operate your HVAC and lighting operational systems in a cloud-based data analysis platform with a centralized control hub that can operate on autopilot. Occupants will experience high levels of thermal comfort and enhanced air quality. The system uses complex algorithms to learn and adjust so possible issues are caught before they become major problems with your operational systems.
FuseMap
In addition to using an IEMS to optimize your complete operational infrastructure for HVAC and lighting optimization, you can use FuseMap to make lesser used spaces, like the conference room, into an interactive area. Specially digitized lighting fixtures will be connected to IP networks to control total occupant comfort for the room. Innovative camera systems with computer vision work symbiotically with machine learning to capture the data of images to perform insightful decisions. This smart technology is not available in your average motion detector lights. The system adjusts the temperature and lighting contingent on the occupants in the room, and can make your building more energy efficient.
Reduce your energy consumption by utilizing the state-of-the-art AI technology of robotics, big data analysis, optimizing your data center, and implementing smart technology.
