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Case Study: AT&T

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AT&T: Energy Efficiency through Efficiency as a Service (EaaS) / Energy and Building Management Solution (EBMS)

Executive Summary

As part of the Future Networks Programme, Network Economics workstream, a series of case studies have been developed, exploring areas where Operators can potentially reduce their Operational Expenditure (OPEX) and Capital Expenditure (CAPEX). This case study focuses on two innovative energy efficiency solutions from AT&T; Efficiency-as-a-Service (EaaS), a platform that helps companies overcome obstacles to large-scale energy efficiency deployments, and the data-driven solution to realise energy and operations savings across large, distributed portfolio of buildings delivered by the Energy and Building Management Solution (EBMS).

This case study also explains the business need, solution, measurable results and opportunity for future improvement that AT&T, realised by creating and deploying these energy-efficient solutions.

EaaS is a scalable program that boosts the adoption of energy-efficient technologies by providing off-balance sheet, turnkey building equipment upgrades that include materials, installation, and maintenance. The EaaS model requires a robust and cost-efficient connectivity solution that can transmit ongoing streams of data, and turnkey building equipment upgrades that include materials, installation, and maintenance. AT&T addresses the complex data backhaul problem that typically requires either hardwired connections from each circuit or the deployment and maintenance of a dedicated Wi-Fi network – both of which can be cost-prohibitive solutions.

EBMS is a web-based solution providing a single view into AT&T’s diverse facility portfolio. The EBMS solution integrates legacy systems, sensors, weather information, utility data, and utilises big data principles to move from reactive to predictive operations. The constant data collection, reporting and analysis creates optimisation intelligence. The wealth of data serves as a catalyst for other opportunities, including Artificial Intelligence or Machine Learning.

Using these solutions, an Operator can select the best solution to achieve the outcome. Savings from EaaS are metered and validated using AT&T’s wireless network for data harvesting. This appears to be a successful model for hedging electricity rates, reducing electricity use and maintenance costs (and in many cases other costs) with no upfront capital costs. Whereas, EBMS is successful at reducing energy costs, optimising repair/maintenance costs, prolonging the life of capital assets, and avoiding capital expenditures.

[1] These results are an evaluation of the potential impact of the solution stated in this case study. The Network Economics Model baselines a hypothetical tier 1 operator’s cost structures, models innovation scenarios and identifies the delta in OpEx and CapEx terms at this solution can deliver. OpEx savings are realised from reduced OpEx spending on energy cost (electricity and thermo), water and maintenance and operations

Introduction

AT&T Inc. is an American multinational conglomerate holding company headquartered in Dallas, Texas. It is the world’s largest telecommunications company and, since June 2018 it is also the parent company of mass media conglomerate Warner Media, making it the world’s largest media and entertainment company in terms of revenue. As of 2019, AT&T is ranked #9 on the Fortune 500 rankings of the largest United States corporations by total revenue. AT&T has more than 250,000 employees across hundreds of locations serviced and more than 225,000 properties. The top one per cent of AT&T’s buildings represent approximately 40% of AT&T’s nearly 19 MWh annual energy consumption[1].

AT&T continuously evolves and advances new technology. New technology presented opportunities to improve our property management functions and reduce energy costs. Effective energy management is critical to the competitiveness of AT&T’s business and the reliability of AT&T’s service to customers.

Efficiency-as-a-Service (EaaS), enables companies to overcome the capital cost and other barriers that can prevent the adoption of efficient building infrastructure such as lighting and heating/cooling equipment. By utilising AT&T Internet of Things (IoT) connectivity and partnering with third-party funding providers, AT&T is able to implement energy-efficient building equipment that can reduce energy costs and greenhouse gas (GHG) emissions with no substantial upfront capital investment. It can also immediate-term financial returns whilst achieving longer-term sustainability goals.

With the support of AT&T’s Chief Technology Office, the Energy Team evaluated and piloted several potential solutions to revolutionise property management operations. EBMS was created to integrate AT&T’s disparate legacy technologies. EBMS has the capability of incorporating data from various types of Building Management Systems, legacy building portfolio databases, sensor data, weather data, meters, and utility information to present a single view to technicians and provide management reporting.

Business Imperative

Efficiency as a Service (EaaS)

The Challenge: Lack of building data hinders the business case for efficiency

  • Commercial buildings account for 19% of energy consumption in the U.S
  • More than 50% of that consumption goes to lighting and HVAC

Companies are increasingly focused on energy efficiency for a variety of good reasons; reduced costs, enhanced working environments for employees, decreased emissions, and the associated reduction in climate change impact. Commercial buildings represent a significant opportunity to achieve higher energy efficiency: The American Council for an Energy-Efficient Economy reports that they account for 19% of energy consumption in the United States and heating and lighting comprise more than half of that consumption.[2]

While some building infrastructure technologies like LED lighting have grown cheaper and are widely available, many energy efficiency opportunities are not realised due to a variety of roadblocks:

  • Unavailability of capital to fund the upgrades
  • Lack of expertise and resources to vet technology
  • Limited internal resources to implement retrofits in an efficient and timely manner
  • Difficulty tracking performance and connecting energy efficiency projects to bottom-line savings

Although energy consumption information is shown on standard utility bills, these statements do not typically specify energy use by equipment type or category (e.g. lighting, heating). Without detailed data, it’s difficult to identify opportunities for upgrades and energy savings. Furthermore, energy managers find it challenging to verify benefits after new equipment has been installed.

In a survey of Fortune 500 executives, this data gap and the availability of capital and resources were identified as the top barriers to implementing energy efficiency projects.[3] New EaaS solutions and power meter technology are emerging to address these challenges. Energy use data strengthens funding models that eliminate up-front capital payments and instead use cost savings over time to fund the initial investment. But new meter technology has been prohibitively expensive to install. Additionally, these power meters require connectivity to transmit data from thousands —potentially millions—of endpoints over a secure network to a centralised system where it can be stored and analysed. Customers are often reluctant to add external devices onto their existing Wi-Fi networks to transmit this data, and developing a hardwired or dedicated Wi-Fi network at each site adds additional expense.

Energy and Building Management Solution (EBMS)

Before EBMS, technicians would spend valuable time driving from site to site to perform visual and audible inspections of the facility equipment.  Technicians activities were typically calendar-based, performing maintenance routines based on a pre-determined schedule.  This method might not have considered how or where the equipment was used.  The visual and audible inspections may not have identified the true operating condition of the equipment.  This method often may have resulted in unscheduled repairs requiring overtime and emergency procedures to be deployed.

Technicians also relied on the Building Management System (BMS) to gain insights into the facility operations. Facility Managers face a complex and disparate set of legacy Building Management Systems (BMS), especially among older buildings. Therefore enormous amounts of training and time is required to become proficient and understand multiple legacy systems. Additionally, the traditional BMS requires the user to gather information from multiple screens to analyse and determine the root cause of complex issues.  This complicated method to diagnosis the root cause of issues requires significant time and proficiency.

EBMS enables AT&T to focus resources on the most critical activities. The fault detection capabilities also provide guidance to help technicians identify the root cause and resolve issues. Technicians use EBMS to prioritise work, reduce non-productive drive time, use EBMS trend data to identify equipment issues not visible, avoid costly unscheduled call-outs and help ensure AT&T’s network reliability by optimising the facility equipment. Training complexity is also reduced because technicians no longer need to learn multiple Building Management System languages. AT&T’s EBMS uses its network to acquire valuable performance data from facility equipment across the United States. EBMS is successful at reducing energy costs, optimising repair/maintenance costs, prolonging the life of capital assets, and avoiding capital expenditures.

Optimising Energy and Maintenance Operations

Globalisation, population growth and other factors have led to the exponential adoption and use of smart technologies. Networks carry the voice, data and video that connects us, helping to spread information and spur innovation. Delivering this content requires energy.

EBMS allows Property and Energy Managers to create performance baselines, remotely monitor equipment status, identify required maintenance actions and view impacts to maintenance actions in real-time. This allows for significant savings on maintenance costs, in addition to reductions in unnecessary energy use. The implementation of EBMS is helping to revolutionise the way energy usages is managed and, ultimately, reduced.

Effective energy management can have a direct impact on a company financially, is an important environmental consideration and is important to the competitiveness of our business and the reliability of our service to customers. The implementation of EBMS is helping to revolutionise the way a Mobile Network Operator (MNO) manages and, ultimately, reduces energy usage.

Many proactive facility managers are searching for ways to gain accurate and timely equipment performance data to help them identify waste, reduce emissions and reduce total building costs from maintenance and new capital equipment.

The Solutions

Unlocking building data with EaaS

The solution is simple: use information and data to create a scalable EaaS program that boosts the adoption of energy-efficient technologies by providing off-balance sheet, turnkey building equipment upgrades that include materials, installation, and maintenance[4]. These energy efficiency projects can deliver significant operational savings for customers but require no upfront capital to execute. The EaaS data platform addresses these challenges by using a granular, continuous stream of building energy performance statistics to create a financial model for customers that can reduce electricity costs immediately.

The EaaS model requires a robust and cost-efficient connectivity solution that can transmit this ongoing stream of data. In partnership with qualified partners, AT&T addresses the complex data backhaul problem that typically requires either hardwired connections from each circuit or the deployment and maintenance of a dedicated Wi-Fi network – both of which can be cost-prohibitive solutions. In addition to using traditional IoT connection directly into power measurement equipment. This enables qualified partners to transmit data straight to the cloud via AT&T’s LTE-M low-power wide-area network. This network allows for longer battery life (up to 10 years) and provides wireless coverage in difficult-to-reach areas, such as deep inside buildings and below-ground storage.

Using the EaaS model, AT&T authorises a third-party vendor to install energy-efficient equipment at their facilities, then pay that vendor at a rate that is less than the prevailing utility rate for every unit of electricity they can eliminate. Savings are metered and validated using AT&T’s wireless network for data harvesting. This appears to be a successful model for hedging electricity rates, reducing electricity use and maintenance costs (and in many cases other costs) with no upfront capital costs.

The nature of the EaaS arrangement allows AT&T to enjoy non-energy financial benefits additionally. For example, the EaaS funding model is helping AT&T to attain its 10x goal to enable greenhouse gas emissions reductions10 times the footprint of its operations by 2025 – by reducing electricity emissions. By the end of 2017, the sustainability savings achieved at  AT&T facilities across 250 cities was equivalent to more than 5,150 metric tons (mtons) of carbon dioxide equivalent (CO2e) emissions[5]. The new equipment also typically has lower maintenance requirements, thus reducing material costs, labour costs and fuel use from truck trips.

Using Energy and Building Management Solution to Gather and analyse building data in near real-time.

AT&T set out to create a single platform to track facility equipment data. The AT&T Energy team worked closely with other technology collaborators to develop reporting platforms comprised of two primary internal data sources:

The Energy and Building Energy Management Solution not only collects information from the IoT (Internet of Things) sensors and BMS but also integrates other data that aids in analysing building efficiencies such as the building portfolio details, utility data and weather details.

EBMS aides AT&T transform its building operations, reduce energy and maintenance costs and extend equipment life through a continuous Monitoring-Based Commissioning (MBCx) solution that incorporates Fault Detection, Diagnostics and Analytics (FDDA) capabilities.

As of year-end 2019, AT&T’s EBMS deployed nearly 800 buildings covering approximately 80 million square feet across 450 cities. AT&T continuously monitors over 40,000 pieces of equipment such as air handlers, boilers, chillers, cooling towers, air handling units, VAVs (Variable Air Volume) and dampers. AT&T monitors nearly 1.5 million data points daily. Where deployed, EBMS is instrumental in reducing AT&T’s annual energy expense about 10 – 20%.

Figure 1 EBMS Architecture

Managers and technicians are presented with a dashboard equipped with easy-to-read reports with data from all sources. Technicians can use mobile tablets to access the dashboard and see the results of work effort in real-time. EBMS also provides AT&T with tools to create a customised data visualisation, analytics and fault detection. The AT&T network allows the system to share this information with the facility management team much faster and more securely than before. The tool also supports machine learning capabilities so that equipment can adjust to building needs and weather without human intervention.

Perhaps most important, the system transformed AT&T’s facility management capabilities from primarily reactive to proactive. Hundreds of unique rules generate alerts when a “fault” occurs, indicating that a piece of equipment isn’t running efficiently., creating centralised dashboards and reports that Facility Managers can access to understand better how their facilities are performing. In the past, the vast majority of building maintenance events were scheduled activities, with only a small percentage handled as needed. Now, an increasing amount of maintenance is proactively prioritised based on information from the Energy and Building Energy Management Solution.

The AT&T Energy team worked with the AT&T Real Estate Operations teams and leading real estate analytics organisations to develop customised dashboards to provide a comprehensive view of energy efficiency across the portfolio. This dashboard was configured for use on Facility Managers’ hand-held devices and allows the Facility Managers to see the impact of many of their improvements immediately.

When an alert occurs, the system generates a Facility Improvement Measure (FIM) to address the issue.

Additionally, this tool is useful in right-sizing future capital asset needs.  AT&T built facilities based on customer/technology needs. The facility infrastructure, including expensive chillers and fan systems, was developed based on long-term forecasts. As customer needs change and technology evolved, often the installed cooling capacity was not “right-sized” to match the building load. EBMS is used to identify these discrepancies and right-size replacement equipment typically resulting in more efficient capital spend and operations.

The Impact

AT&T has established an energy intensity metric to measure electricity usage compared to network data traffic, allowing them to see the progress in their efficiency efforts at a time when increasing network demands directly impact electricity use. AT&T’s baseline for this metric is its 2013 energy intensity value of 233 MWh/PB. Their 2020 target is 93 MWh/PB, which represents a 60% reduction from the 2013 baseline.

Through EaaS, in 2017, AT&T has deployed smart lighting systems in more than 600 AT&T facilities, including administrative buildings, data centres, retail stores, work centres and telecommunications equipment buildings. The reduced energy consumption in these facilities resulted in almost $20 million of annual avoided electricity utility payments and cut electricity usage by about 180 million kilowatt-hours (kWh).

AT&T expects this program to continue to expand in the coming years as they look at ways to use this model for different applications and in more facilities. They are also working with technology and business collaborators to develop programs that leverage AT&T technology to enable similar benefits for customers who are having trouble funding energy efficiency projects in their facilities, using the AT&T communications backbone as leverage for metering and validation of savings. AT&T has already utilised the EaaS financial model to fund the installation of new lighting systems at more than 200 retail and nearly 50 non-retail AT&T facilities. Additionally, AT&T has installed smart irrigation systems through the same service program at about 150 sites, which reduced water usage by nearly 140 million gallons in 2019, resulting in savings of more than $1.5M.

2025 Goal

In 2015, AT&T set a goal to enable carbon savings ten times the footprint of its operations by enhancing the efficiency of their network and delivering sustainable customer solutions. As AT&T pursues their 10x goal, which represents a net positive ratio between operational footprint and the carbon reductions their technology makes possible for customers using their services, they are working to enhance network efficiency through energy management and the integration of renewable energy.

AT&T recognises the value and importance of making energy use and efficiency fully visible, particularly to those best positioned to make changes and improvements. To this end, they have tailored policies, organisational structures, processes and tools to help make sure their workforce is engaged in the energy management effort to identify better ways to source energy, purchase and deploy energy efficiency, and be more efficient and responsive with how they manage infrastructure and the energy it consumes.

Implementing the Solutions

EaaS:

The benefits of EaaS are applicable across all geographies and types of facilities. The AT&T implementation has been conducted programmatically to optimise savings based on a variety of factors including, energy usage profiles, local electricity rates, availability of local rebates etc. The EaaS provider conducted all energy audits, procured all equipment and coordinated and scheduled the installations around each facility’s operation constraints.

EBMS:

The implementation time of EBMS is dependent upon the size and complexity of each building.   – the first building will take longer to install than the 770th building. Information about the physical structure and the facility equipment is captured then married with utility information and weather data to develop the web-based dashboard. Once the dashboard is customised to the preferences of the users, adding incremental buildings is completed relatively quickly.

A slimmed version of the solution is suitable for remote, smaller locations and provides insight to the technician as to when a service visit is required.  The advanced notice allows the technician to plan their time and avoid costly overtime charges.  The solution is suitable for all geographic markets.

Economic Benefits

Using these solutions, an Operator can select the best solution to achieve the outcome. Savings from EaaS are metered and validated using AT&T’s wireless network for data harvesting. This appears to be a successful model for hedging electricity rates, reducing electricity use and maintenance costs (and in many cases other costs) with no upfront capital costs. Whereas, EBMS is successful at reducing energy costs, optimising repair/maintenance costs, prolonging the life of capital assets, and avoiding capital expenditures.

From  2017 through 2018, AT&T captured annualised energy savings of nearly $2 million.  The savings are now growing at an increasing rate as the team’s efforts move from deployment to utilisation of the tool. Additional savings are also identified as avoided costs.  For example, Property Management Team members now have better remote insights into their facilities and can better prioritise their work efforts avoiding weekend or overtime costs.

In 2017 – 2018, the following was accomplished:

  • Reprogrammed hundreds of fan systems to improve operation and increase the use of outside air thereby reduce the use of mechanical cooling and reducing energy costs
  • Installed several thousand ECMs (Energy Conservation Measures). ECMs included modifying discharge air set points, installing Variable Frequency Drives (VFDs), repairing or enabling economisers/dampers and miscellaneous equipment
  • Reviewed numerous chiller plants and applied ECMs, resulting in tens of thousands of hours of run time savings

Energy savings is only a portion of the realised benefits, reprogramming the equipment to run more efficiently to stop short cycling and reducing the run time, increases the equipment life and defers capital expenditure.

Where available, utility meter data is integrated into the EBMS tool enabling the teams to demonstrate energy-saving success.  The following is an example of a site located in Chicago, IL, where EBMS was utilised to identify energy savings opportunities; recognising that weather impacts the chance to utilise outside air rather than mechanical cooling, the kilowatt (kW) usage for the building was plotted against temperature bins.  The change reflects about a 20% reduction in kWh consumption. Depending on the original condition of the equipment and electrical loads, similar improvements were noted in many other facilities.

The “Before” study period is 8/1/2017 – 10/31/2017 and the “After” study period is 8/1/2018 – 10/31/2018.  Remediation efforts were implemented in July 2018.

Figure 2 kW Usage by Temperature Bin at Chicago site

In 2019, AT&T focused on utilising EBMS to holistically review and improve hundreds of central office locations. Central offices house a significant amount of equipment but may also be configured to partially support administrative functions. Additionally, EBMS data was leveraged to develop machine learning capabilities on the largest sites. Machine learning recommendations on key attributes are provided every fifteen minutes and enable the facility to be optimised based on changing building load and weather conditions. AT&T’s technical development team continues to use the EBMS data to develop new machine learning attributes. In most sites, metered utility data was utilised to evaluate kWh reduction. If metered data was not available, utility bills were compared. Overall results are positive. Results vary based on building size, equipment condition and geographic location (ability to utilize outside air versus mechanically cooled air). Preliminary results with at least 30 days of data follow:

Category Primary HVAC Average kWh Reduction
Small Direct Air Cooled Units 3%
Large Chiller 10%

Based on the success of the 2019 program, several hundred additional sites are targeted for optimisation in 2020.

AT&T’s East Region is one of the earlier adopters of EBMS and had by year-end 2019 had several hundred facilities equipped with EBMS.  The East Region demonstrated the following success utilising EBMS in 2019:

  • Damaged or malfunctioning Sensors – Reduced number of bad sensors by 38%.
  • Offline Controllers – Reduction of 34%
  • EBMS Faults – Addressed/cleared over 20,000 EBMS faults.
  • Demonstrated Uses – Identified and cleared nearly 3,000 items through the use of EBMS

Detailed diagnostic information and alarms make it easier to find and address a specific issue that may not have been found until routine maintenance.

“The Energy and Building Management Solution alerted me when the space temperature and supply air temperature at one of my remote sites was way too low. I travelled to the site to investigate and learned someone had the temperature set points way down, so I changed the settings. I only visit this site infrequently, so this setting would have remained in effect for who knows how long.” – Facility technician, AT&T, Washington.

Alerts help avoid early equipment failure and replacement.

“After getting an alert from the Energy and Buiding Management Solution, I found debris and dust from the construction of another facility located next to the building blocking the intake. This issue may not have been discovered until the regular maintenance routine was to be performed, which was scheduled for a couple of months later. Because it was discovered early using fault detection, the issue was corrected before the dampers and unit could fail.” – Facility technician, AT&T, East region.

Constant equipment information at remote sites reduces lengthy truck rolls.

“Before the Energy and Building Management Solution, I would spend hours travelling to remote sites to perform routine maintenance.  Now, getting real-time information about those remote sites, I only make those trips when needed, saving time and fuel.” – Facility technician, AT&T, Central region.

Additionally, AT&T has initiated a new Machine Learning program leveraging the EBMS data. Utilising the data from EBMS, the Machine Learning algorithms will provide recommendations to the BMS to allow key variables; i.e. Chilled Water Valves, to adjust to temperature and building load.

Challenges and Lessons Learned

As any large organisation takes on a broad, national-wide portfolio implementation of technology, there are always challenges.  Developing internal communication about the program to stakeholders from the executive level down to the site level is critical for approvals, site access and other logistical coordination.

Additionally, ensuring that internal incentives and performance metrics are aligned to drive employee engagement can reduce the internal “inertia” that can slow companies down.

Challenge: Finance Partnership –AT&T allocates investment dollars to projects based on traditional financial indicators.  The EaaS projects are designed to be cash positive and do not easily compare to other projects using traditional financial indicators. Initially, internal organizations resisted the EaaS model.

Resolution: The Energy Team partnered with Finance to develop easy to understand models to demonstrate the concept.  The solution was deployed to a small number of buildings to demonstrate the results.

Challenge: With increasing focus on cybersecurity, AT&T needed to ensure that the EBMS system was protected.

Resolution:  The Energy team partnered with AT&T’s Chief Security Office team and expert third-party security vendors to ensure the EBMS system met or exceeded cybersecurity requirements.

Challenge: End-User Adoption – The EBMS solution requires team members to spend some time learning how to use the solution and understanding how to leverage the tool benefits.  The project team was challenged to garner active support from all impacted users.  End-user adoption was challenged for the following reasons:

  • In the early stages of deployment, a Property Manager may only have one facility equipped with the tool yet be responsible for several other properties. Some Property Managers are naturally ‘early-adopters’.  Other Property Managers continued to operate in their traditional manner until more of their facilities were equipped with the tool.
  • An online, interactive training was developed to introduce Property Management to the tool. The leadership provided support for the Property Management team to carve out time to complete the training.

Resolution: The following was implemented to improve End-User Adoption:

  • Regional EBMS User-Groups were established, and monthly meetings conducted.  During regularly scheduled discussions, there is an active exchange of issues, ideas and enhancements.  The User-Group representative serves as a focal point to gather and disseminate EBMS information.
  • To improve the overall understanding of the tool, we developed a new “Acceptance” process. When a new site is commissioned, we ask the Property Management team members to review the tool to make sure that all of the captured information is correct; i.e. confirm the equipment is correctly displayed on the right floor of the building, the Property Manager name and contact information is correct, the correct façade is displayed.  Approximately thirty days later, an EBMS project team member meets with the Property Management team to review the site, discuss any open faults and alerts, assists the Property Manager by instructing them on how to navigate through the EBMS tool, use the graphing tool capability to plot trend points and guide them on how to use the integrated Help.

While this approach is more time consuming, the personalised training sessions are effective helping the Property Manager effectively use the tool and turn the information into specific action items that will improve the operations of the facility and reduce energy costs.

Conclusion

AT&T believes strongly in the power of this service to enable significant scale efficiency for commercial buildings, and are working together to introduce this service to customers, not only for lighting but also for other building equipment such as heating, cooling and water. Because so many businesses rely on their buildings for their business operations, this offering can benefit a wide range of companies and business sectors, from retail and industrial to healthcare and education.

The EaaS program boosts the adoption of energy-efficient technologies by providing off-balance sheet, turnkey building equipment upgrades that include materials, installation, and maintenance. These energy efficiency projects deliver significant operational savings for customers requiring no substantial upfront capital to execute. The EaaS data platform addresses challenges by using a granular, continuous stream of building energy performance statistics to create a financial model for customers that can reduce electricity costs immediately.

The model requires a robust and cost-efficient connectivity solution that can transmit this ongoing stream of data. AT&T addresses the complex data backhaul problem that typically requires either hardwired connections from each circuit or the deployment and maintenance of a dedicated Wi-Fi network – both of which can be cost-prohibitive solutions. In addition to using traditional IoT connection directly into power measurement equipment. This enables transmittal of the data straight to the cloud via AT&T’s LTE-M low-power wide-area network. This network allows for longer battery life (up to 10 years) and provides wireless coverage in difficult-to-reach areas, such as deep inside buildings and below-ground storage.

AT&T’s Energy and Building Management Solution helps optimise AT&T energy and maintenance costs and positions AT&T for expanding capabilities and new technologies.

Using AT&T connectivity to aggregate disparate building systems has the potential to;

  1. Give facility managers the timely information they need to correct energy efficiency problems,
  2. Reduce energy use and associated emissions from building operations,
  3. Reduce facility equipment maintenance and repair costs,
  4. Reduce capital costs by extending the life of the existing equipment,
  5. Avoid capital costs by “right-sizing” new or replacement equipment,
  6. Provide new opportunities to capitalise on new technologies such as machine learning that can further reduce operating costs.

 


[1] https://about.att.com/energy-management

[2] American Council for an Energy Efficient Economy

[2] American Council for an Energy Efficient Economy

[3] 2016 Energy Efficiency Indicator Survey

[4] https://about.att.com/energy_efficient_commercial_buildings

[5]https://about.att.com/reducingemissions/IoT