4
min read

A Guide to Energy Data Collection & Utilization

How to collect energy data in commercial buildings so that you can find out where you're wasting energy like powering empty spaces.

Energy is a top priority for countries, organizations and people around the globe. Outside of improving the energy source, reducing energy consumption is the most immediate way to make an impact.

Real estate being the largest asset class on Earth, it’s also the largest emitter of greenhouse gasses, responsible for 40% of global energy use, global CO2 emissions, and 40% of raw material consumption. 

Building floor area is expected to double by 2060, adding 2.4 trillion ft2 (230 billion m2) of new floor area to the global building stock. The equivalent of adding an entire New York City to the world, every month, for 40 years. Of the emissions, approximately 70% are produced by building operations, while the remaining 30% comes from construction. It’s this 70% being produced by building operations where PropTech can play a role in reducing its carbon footprint.

There’s also new mandates being introduced which look at punitive measures for poor performing buildings. Local Law 97 in New York which will fine building owners and in the UK, building owners won’t be able to lease their building unless they improve their energy rating.

So how do we reduce energy consumption in commercial real estate?

First you need to collect energy data and then take action. In this article I’m going to break down how we collect the data, then use that to automate the systems which improves energy efficiency.

Sources of Energy Data & Consumption

Building Management Systems in Energy Data Collection

PlaceOS integrates with Building Management Systems (BMS), this gives us access to real-time data on energy consumption, HVAC performance, lighting levels, and more. This integration enables a comprehensive aggregation and analysis of energy usage from various sources within a building. More importantly, it allows us control over the system. More on that shortly.

It’s worth noting that HVAC systems are the biggest source of energy consumption in the building. So improvements to the HVAC operational efficiency will have the biggest impact.

BMS Integrations

  • BACnet Secure Connect
  • Johnson Controls Metasys
  • Siemens Desigo
  • Delta Controls

Lighting

Lighting is also big contributor to energy consumption, not quite as big as HVAC, but still considerable enough to warrant serious consideration when looking to improve energy consumption. We can connect with lighting systems to monitor and automate for improved efficiency. 

Lighting Integrations

  • Leviton
  • KNX
  • C-Bus
  • DynaLite
  • Lutron
  • DALI
  • Helvar

Energy Bills

If your building doesn’t have access to any of the above. You’re still able to take your energy bill and use that as the benchmark. If number goes down, then good. Don’t worry, you’ll still be able to optimize your building to improve energy consumption. 

Which brings me to the next part, occupancy.

Occupancy Integrations

We collect and use occupancy data as a condition which triggers actions like turning off lights or the HVAC system. This is the secret sauce really. We collect occupancy data through Directory Services, Sensors, Cameras and Bookings. Either by themselves or a combination, it depends on the setting. Here’s our list of integrations that can provide some form of occupancy data.

Directory Services

  • Azure AD (via MS Graph API)
  • Hybrid on-premise Active Directory (via MS Graph API)
  • Google Workspace (GSuite)

Resource Booking

  • Microsoft 365
  • Google Workspace (GSuite)
  • Native PlaceOS resource booking

Real Time Location

  • Cisco Spaces
  • Cisco Meraki RTLS
  • Cisco CMX
  • HP Aruba ALE
  • (Juniper) Mist
  • Kontakt.io

Sensors

  • Vergesense
  • Floorsense
  • XY Sense
  • Xovis
  • Steinel
  • CMS Engage
  • SenseStudio
  • Kaiterra
  • GoBright
  • FreeSpace
  • Meraki MV

Utilizing Energy Data for Optimization

With the rich data collected, PlaceOS offers data-driven insights to identify inefficiencies and areas where energy is being wasted. The easiest example to visualize is energy versus occupancy. If a room has high energy use and low occupancy, this indicates a potential area for improvement or that something technical has gone wrong in that room. 

Occupancy-Based Energy Optimization

PlaceOS can automate building systems' operations, leveraging real-time data and predefined rules to enhance energy efficiency. Adjustments to lighting, HVAC systems, and equipment ensure that energy is not wasted on heating, cooling, or lighting unoccupied areas, leading to substantial energy savings.

Here’s an example.

Conclusion

PlaceOS stands at the forefront of energy management, offering a sophisticated platform that integrates with Building Management Systems, IoT devices, smart meters, and more. Through comprehensive data collection and utilization, PlaceOS enables buildings and campuses to achieve unprecedented levels of energy efficiency and sustainability. In doing so, it not only contributes to environmental conservation but also offers substantial cost savings, making it an indispensable tool in the modern, eco-conscious world.

What is energy data collection?

Energy data collection involves gathering information on energy consumption, production, and distribution using various tools and technologies. This data helps organizations understand their energy usage patterns and identify opportunities for optimization.

Why is energy data utilization important?

Utilizing energy data allows businesses and individuals to make informed decisions to improve efficiency, reduce costs, and promote sustainability. It helps in identifying inefficiencies and implementing strategies for energy conservation.

What technologies are used in energy data collection?

Technologies include smart meters, IoT sensors, energy management software, and data analytics tools that collect and analyze energy usage in real-time.

How can organizations benefit from energy data analytics?

By analyzing energy data, organizations can optimize operations, reduce energy costs, enhance equipment performance, and achieve sustainability goals through informed decision-making.

What are the challenges in energy data collection and utilization?

Challenges include data privacy concerns, high implementation costs, integration with existing systems, and the need for skilled personnel to interpret complex data.

What role does IoT play in energy data collection?

The Internet of Things (IoT) enables real-time monitoring and data collection through connected devices and sensors, providing granular insights into energy usage across different systems and locations.

How does energy data contribute to sustainability initiatives?

Energy data helps organizations track their carbon footprint, identify areas for energy reduction, and measure the impact of sustainability initiatives, leading to more environmentally friendly operations.

Subscribe to receive our latest articles first!

Thanks for joining our newsletter.
Oops! Something went wrong.