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Before the dream of Smart Buildings can be recognized, commercial real estate owners and operators need to perfect basic blocking and tackling.

Here are six examples of outdated processes that persist today, and how technology can alleviate existing pain points.

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Video

More and more landlords are feeling the pressure to adopt technology to address changes in the market.

In this video, CREtech founder and CEO, Michael Beckerman, reveals the advice he gives to landlords he speaks with on how to get started and what factors to include in evaluations.

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A lot has changed in the last few years. Most commercial real estate companies have fully embraced the fact that technology is changing the game. Many now have chief innovation officers to develop and execute a strategy for integrating technology into every level of the business.

Here are ten common problems in building operations and exactly how technology can be deployed today to improve how quickly they are resolved.

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Video

There's been a lot of hype about bridges, hubs, mesh networks and "low touch" solutions that can be self installed to digitize a metering infrastruture.

In this video, Enertiv Co-Founder and CTO, Pavel Khodorkovskiy, how to determine if this type of technology is applicable to your situation and the optimal path for each scenario.

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This case study explores how Enertiv's system identified that condensor water pumps as weather-dependent loads and suggested changing the schedule to be more consistent with occupancy and outside air temperature, resulting in $36,000 in savings annually.

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This case study explores how Enertiv's system identified that the schedule for an AC unit had been accidentally inversed between occupied and unoccupied hours and set points misprogrammed. Quick resolution avoided further short cycling and ensure that tenants benefitted from conditioned air during occupied hours.

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This case study explores how Enertiv's system identified that chilled water pumps could be run sequentially instead of simultaneously to reduce peak demand by 10% and save $5,000 annually.

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This article originally appeared in Smart Data Collective

Deloitte Insights expects 1.3 billion IoT devices to be deployed in commercial real estate by 2020. These IoT predictions are powerful. The falling cost of IoT sensors and data storage have been well documented, but the scale of these deployments necessitates a wireless infrastructure that is largely nonexistent in the industry.

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Blog
This article originally appeared on CRE Tech

Over the past two years, the commercial real estate industry’s engagement with early-stage technology companies has seen a significantly uptick.

Despite the growing excitement, we are still in the early stage of the adoption curve. Most real estate professionals do their job in more or less the same way that they have for decades.

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Case Study


This case study explores how Enertiv's system identified that a 15-ton A/C unit was on the verge of failure and notified the building operators to immediately shut down and repair.

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Video

Times have been good in commercial real estate for a long time. There has been steady growth for a decade and there is continued optimism about the market.

In this video, MetaProp Co-Founder and Partner Zach Aarons explains why this won't last forever and how to prepare a portfolio for the inevitable downturn.

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Blog
This article originally appeared on Buildings.com

A shift is needed from the “art” of intuition, assumptions and rules of thumb to the “science” of empirical evidence driving statistically significant conclusions.

Fortunately, the Internet of Things (IoT) has unlocked the potential to collect real-time empirical data about the individual components that make up a physical infrastructure of buildings.

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Blog
This article originally appeared in Connected RE Magazine

Recently, Enertiv raised $4.3 million in a round of funding from investors like Fifth Wall and Rudin Ventures to accelerate technology development and growth of installations around the country.

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A lot of time, effort, and resources are devoted to ensuring that lease terms are set precisely to what the market can bear.

At the same time, a surprising number of assets are not maximizing cash flows because recovering utility costs from submetered tenants is still imprecise and largely ignored.

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There are a variety of benefits that come from infusing technology into real estate: faster and more precise back office processes, a better experience for current and future tenants, and improved financial results.

However, there’s another, often overlooked, advantage to piloting new technologies. Simply the introduction of new solutions to existing problems causes the people who make up the organization to think differently about their work and the company’s performance.

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Video

HVAC systems are oversized by 25% on average. Whether it's new development or a retrofit, capital investments are risky, long-term decisions.

In this video, Derek Cedarbaum explains why equipment-level benchmarking will remove this risk and facilitate data-driven decision making for equipment purchases.

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Case Study


This case study explores how Enertiv's system identified that a 7.5-ton A/C unit was experiencing short cycling, causing overheating of the machine room and the conditions for an elevator shutdown.

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Blog

when it comes to building operations, even when information is collected and made remotely available, it doesn’t necessarily make its way to the people who can act on it, which is just as important as having meaningful data in the first place.

As real estate companies craft data strategies, how can they ensure the right information gets to the right people at the right time, so they can act on it?

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Video

87% of maintenance in commercial real estate is reactive, leading to all sorts of issues including more breakdowns, reduced equipment life, and more tenant complaints.

In this video, Enertiv's CEO, Connell McGill, explains how to use technology to get a preventative maintenance program running quickly and efficiently.

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Blog

Not too long ago, building operations in commercial real estate was a black box. The performance and condition of the critical infrastructure, especially in older assets, was simply impossible to determine without being physically present. And it shows, an analysis of over 200,000 work orders found that 98% of tickets were for fixing existing issues, while only 2% were for preventative maintenance.

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This article originally appeared in Realcomm Edge Magazine

Recent advances in fault detection and diagnostics software promise to deliver something that has never existed in commercial real estate: true transparency into the health of building systems and the indoor environment, regardless of building type or size.

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Video

We see all kinds of problems with HVAC systems in our client’s buildings. These include scheduling problems, balancing issues, short cycling, component failure, and balance points.

In this video, Enertiv's Head of Client Success, Mark Pando, explains how to optimize HVAC balance points, a common problem with an easy fix and large impact.

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This case study explores how Enertiv's system was used to identify annual savings of 20% of total spend through operational improvements and retrofit installations with an overall payback period of four years.

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Blog

According to a report released in the first quarter of 2018 by NAR, the national average for office vacancy rates increased 1.7% in the fourth quarter of 2017 due to supply outpacing absorption.

This trend poses a threat to net operating income (NOI) and the expected return of ownership for commercial office real estate. Real estate companies would be wise to recognize that operating expenses are not as fixed as often assumed.

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Video

Those in charge of commercial real estate are now aware of how much value equipment-level fault detection technology can provide in terms of lower operating expenses and improved tenant comfort. In today's video, Felix Lipov explains the criteria that should be used when evaluating fault detection technology to get the best system for your portfolio.

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Blog
This article was originally posted on CRE Tech

There are potentially billions of dollars at stake and nearly limitless new technologies to evaluate. Given this, it’s not hard to see why many companies are finding it challenging to implement technologies at scale.

How can those in charge of technology adoption in commercial real estate cope with such a rapid influx of emerging technologies, and what strategies are the leading companies using?

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Case Study

This case study explores how Enertiv's system identified that the HVAC schedule in an office building was not matched to occupancy hours and how operators made adjustments to save thousands of dollars in energy costs.

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Blog

Simply making something available does not necessarily mean that it will be applied correctly, or even used in the first place. As the pace of technology deployment in commercial real estate quickens, the likelihood that tools adopted in the boardroom are not being used in the mechanical room is increasing in kind.

Technology deployments can become more effective by avoiding the pitfalls that lead to poor internal adoption.

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Video

There are a lot of savvy folks at the intersection of real estate and technology working to figure out how the Internet of Things (IoT) can improve asset performance and lower costs. In today's video, Derek Cedarbaum shows how different IoT solutions can best be utilized depending on the situation.

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Case Study

This case study explores how Enertiv's system was used to bring down the resolution time for rooftop exhaust fan failures from one week to two hours.

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To compete effectively in today’s real estate market, companies not only need to adopt technology, they need to adopt the right technology.

We’ve explored this topic from several dimensions, but before those details can be addressed, there is a more fundamental question that must be answered: whether a given technology is horizontally or vertically aligned.

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Many real estate firms tend to wait for a well-proven ROI before making tech investments. Even those that recognize the economic value of the IoT may forego investments because they are unable or unwilling to bear the upfront costs.

Recognizing this, government entities and non-profit organizations have created a web of incentives for landlords to implement IoT and other “Smart Building” technologies.

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Case Study

This case study explores how Enertiv's system identified an error in the transcription of manual meter reading that resulted in a nearly $16,000 discrepancy for a tenant.

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A great irony persists when calculating the return on investment for Internet of Things (IoT) technologies in commercial real estate: The value of the IoT lies in the data it generates, but to calculate this value exactly, data is required.

For once, it is not enough to simply say that the real estate industry is slow to adopt new technology. There are inherent aspects of the business that make exact calculations difficult.

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In a previous article, we explained what to look for in a tenant submetering service to avoid being locked in to poor service, billing discrepancies, and lack of flexibility – the Death Trap.

But to the surprise of many owners and operators, an older submetering infrastructure does not necessarily mean that there are no options for changing service providers. The next question is inevitably “how?”

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Case Study

This case study explores how Enertiv's system was used to ensure that maintenance on a combined heat and power (CHP) unit was performed as required by the third party vendor.

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This Article was Originally Posted on Energy Manager Today

According to a recent US Department of Energy report, the number of LED installations has quadrupled from 215 million units in 2014 to 874 million units in 2016. Despite this staggering growth in the adaptation of LED lighting, LED market penetration is still at only 12.6%.

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This Article is Hosted on SoftwareAdvice.com

The term “smart” is used to describe a wide variety of technologies—cars, watches and even light bulbs.

But it’s not always easy to know how exactly this revolution will impact you as a maintenance professional. How can you use sensors and software to take the term “smart maintenance” from buzzword to practical facility improvements?

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Blog

Real estate companies are beginning to realize a hard truth: It is no longer a question of whether they need an Internet of Things (IoT) strategy, it’s a question of how and when.

With that in mind, nearly every department is scrambling to make sense of the dizzying number of options, and to create a coherent strategy.

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Case Study

This case study explores how Enertiv's system was used to identify which buildings in a portfolio were experiecing basement floods during a heavy rain storm.

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Tenant amenities have progressed, but how properties are actually operated remains tragically stuck in the past; it’s clear that technological progress has not been even.

Building operations are like the engine that makes your car go. It doesn’t matter how nice that new paint job, if it doesn’t get from point A to B, the passengers will get frustrated.

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It is a natural tendency for large organizations to create silos for different departments. Silos provide the structure that promotes specific expertise and a linear flow of information. But silos also cause problems, namely a restriction on the information, collaboration, and focus outside the department.

In building operations, most real estate companies have created distinct silos for maintenance and energy management. On the surface, this makes perfect sense.

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Case Study


This case study explores how Enertiv's system was used to verify initial and continued compliance with a utility Interruptible Gas Program, eliminating the risk of costly penalties for non-compliance.

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Few real estate companies can honestly state that there is a culture of continuous improvement. Even portfolios that are operated exceptionally well can rarely point to cultural reasons. More likely, there are a few highly experienced building operators who know how to fix the myriad of problems that arise in buildings on a regular basis.

What are landlords and property managers supposed to do when the current crop of highly skilled individuals are no longer around?

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Many properties utilize meters for individual tenant spaces to collect data around electricity and water use, and bill each tenant for their share of total building consumption. Often, a third party reads the meters and sends the invoices on behalf of the owner or property management company.

In recent years, meters capable of real-time collection have enabled owners and property managers to digitize and automate their tenant submetering process.

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With the growing excitement around the possibilities of tomorrow’s buildings, there is faith that “building management systems are the backbone of smart buildings.” Owners and operators are envisioning ways in which the traditional BMS can be expanded to become the source of data for how a portfolio of buildings is performing. Even for properties that have not installed a BMS, there is faith that advancements in sensor technology will make investment in a BMS more cost effective.

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This Article is Hosted on Buildings.com

“For a lot of facilities managers, if you asked them, ‘How does your HVAC equipment – your chiller or boiler plant, as examples – behave on a 60-degree day without humidity?’ or ‘How do they behave on an 80-degree day with high humidity?’ I think a lot of the time the answer is that the data isn’t really available,” says Mark Pando, Energy Project Engineer at Enertiv

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The best operated portfolios don’t necessarily do more of any one thing. Instead, driven by a deep understanding of what is important, these industry leaders apply technologies, invest in equipment, and update operational strategies intelligently. Over time, doing all the small things correctly unlocks asset value that would otherwise have been lost to wasted operating expenses.

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White Paper

The commercial real estate (CRE) industry is busy adopting technology to streamline services, meet rising tenant expectations, and maintain profitability in an increasingly competitive marketplace. As a result, the departments involved with building operations are evaluating technologies that analyze building system data to reduce operating expenses and facilitate a better tenant experience.

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In the early days, determining the effectiveness of a retrofit – measurement & verification (M&V) – commonly consisted of comparing baseline and post-installation expenses for the entire building. While methods have developed over time to focus more closely on the equipment that was replaced or upgraded, it is still largely a retroactive strategy.

But what if this process could be performed before the installation?

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This article originally appeared on Energy Manager Today

Due to the complexity of energy pricing, two identical buildings can consume the same amount of energy and have profoundly different utility bills. Demand charges are a reality for every building but with the right data it is possible to identify and solve the issues that cause high peak demand and expensive utility bills.

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Building operations and sustainability departments are under increasing pressure to contribute to the bottom line through cost savings. As real estate companies continue to trim their budgets, so continues scrutiny of building operations dollars.

And yet, there persists an assumption that automation through a Building Management System (BMS) will lead to “smart” buildings and improved performance.

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Perhaps more than any other function, building operations in commercial real estate (CRE) is primed to reap the benefits of advances in Big Data and Internet of Things (IoT) technology.

However, to date, systems have been deployed piecemeal to address specific problems. Solutions have typically been implemented as siloed, expert-oriented tools lacking the ability to communicate or share data with other integral systems.

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In office and apartment buildings across the country, operators are adjusting equipment systems and responding to issues so the rest of us remain comfortable.

But building operators are lacking the tools they truly need to excel at their jobs. That’s exactly where machine learning comes in.

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