ENERGY MANAGEMENT BEHAVIORAL DECISION MAKING
By Don Macdonald, LEED AP, CEM
Not often talked about is an obscure behavioral and computer science religion called Decision Support, a basic form of Artificial Intelligence (AI) and part of understanding ENERGY MANAGEMENT BEHAVIORAL DECISION MAKING.
Will artificial intelligence evolve and make conscious efficiency choices (or lack thereof) for us? Is much of the human “choice” from efficiency already being eliminated, controlled by the ‘man” and dictated by Government regulations and policies?
In the Terminator the robot returned to earth to kill Sarah Connor whose son one day was to become our savior against the machines.
Energy Management Devices
Will Energy Efficiency (EE) become our post-apocalyptic future with Artificial Intelligence (AI) controlling our lives unknowingly surveying our ever movement like in “Terminator”. In my movie version of “Terminator” my NEST thermostat tracks my preference for 68 degrees with a vengeance, telling me to close the windows, turn off the bathroom fan while it also monitors my movements from the roof deck hot tub to the bedroom down the long hallway in my home. I wonder if that round glass dial is actually an evil eye (thinking HAL 9000 in 2001 Space Odyssey). My refrigerator tells the grocery store when we need to order food, gas grill when I need a new tank, my doctor how much vodka mixer I used this past weekend, toothbrush my dentist how often I brush and my TESLA while making me feel handsome and smart probably notifies the cops I was speeding before I even got there. then to top it all off my government wants to unlock my encrypted Apple iPhone to learn what smut I was watching while listening to Ted Cruz bombast about Trumps hair style.
ENERGY MANAGEMENT BEHAVIORAL DECISION Making
Decision Support (DS) science makes choices based on our behavior, one half of effective energy management performance. As AI advances, will it embed itself into us? People with heart conditions already have wireless internal monitors called ICD’s which watch for heart arrhythmia’s 24/7 and automatically pop a note to the doctor hopefully saying they didn’t need to shock the person and didn’t go into sleep mode too often. What happens when AI is so commonplace we become un-knowingly dependent on the machine, like in “Terminator”?
In addition to the equipment aspect of making energy consumption efficient (the gadgets, meters and processes) we have the behavioral science. Often times we ask why EE isn’t more common. It’s because of a phenomena called “FODA”. Whats that, you ask? It’s the EE implementation disease many CFO’s and Wall Street types have when relying on EE data that is not well vetted. FODA occurs when we are unable to make decisions without full knowledge of the outcome.
In today’s energy efficiency landscape, most data still remains unsubstantiated, unreliable to the level Wall Street investment firms require to properly manage risk. While FODA is a scary place to be organization’s such as the Sustainability Accounting and Standard’s Board (SASB) and Environmental Defense Fund’s ICP project have begun to strip away these doubts to produce investment grade tools and results. Put another way, a building energy engineer that builds his/her performance baseline without including weather or use her unit consumption normalization is making decisions based on inaccurate and incomplete information, or FODA.
But FODA isn’t the entire picture. We also have FOMO. Which is how you feel when you missed the chance to read this article published on LinkedIn. You feel left out, uninformed, behind the times as it were. This is an example of social media’s affect called “fear of missing out”. When one commercial building in a portfolio of several hundred scores a great Energy Star or LEED rating many people in the other building may suffer from FOMO. FOMO disease forces us to present our best selves without regard to accuracy and repeatable performance. Claiming that you improved upon last years’ energy consumption using only a utility bill and then reporting it in the annual sustainability report is an example of FOMO. Annual reports are rife with sustainability claims not based on repeatable base-lined, properly M&V executed performance standards.
As our dependence on AI grows we need to recognize the programmer behind every software package is a person who is human, may have political, financial, and behavioral views which could be programmed into the software logic. Could we have motives such as greed, vanity, or exploitation found in software without standardization and review processes? Perhaps.
One of the cumulative effects we are already seeing impact energy efficiency is known as the “butterfly effect”. These separate events, decisions, and bias’ accumulate slowly at imperceptible speed into overwhelming processes which then can spin out of control. When we add FODA and FOMO affects things become difficult to understand where the product begins and behavioral performance ends.
These tiny differences in software efficiency bias’ can cascade into massive changes over time distributed across the GRID with huge results. A well-intentioned computer programmer can make the smallest tweak to my office HVAC cooling. The next thing you know, everyone has personal heaters under their deck. Its subtle, but the potential is there. What happens if the programmer is not well-intentioned? It is the worrisome challenge we face as energy efficiency professionals to improve performance while moving toward automating software controls. We are already moving to automated (AI) systems of remote assessment, there called Building Management Control Systems (BMS’s) and Energy Management Information Systems (EMIS’s).