Last week several of us at Michaels bemoaned the hazards of operations and maintenance (O&M), controls, and behavioral programs. The specific discussion was about the ubiquitous rooftop unit, like those shown on the box-store roof below. The discussion could have been about anything other than light bulbs. Measures in a portfolio come with a spectrum of savings risk from baselines, to hours of use, to risks associated with operation once deployed. Next week I think I’ll analyze an entire portfolio of risks and give those risks relative scores. For instance, many measures depend on the baseline – not necessarily the…
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Most of you reading this owe your lives to the phenomenon described in this post. Therefore, it is worth understanding precisely how grid power is generated, and what it looks like. And of course, you will not find this anywhere else. Rant topics are inspired by reader comments. At AESP National, a young gentleman approached me to say the Rant provides good information that is easy to understand and read. He referenced a Greentech Media Energy Gang podcast, which explained as much. At the ~50 minute mark of the podcast, they explain that learning how things work, and being able…
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It’s Halloween. Hundreds of thousands of people have to figure out a different costume because a clown plague has infected the country. While I don’t consume tabloid news, I did hear that in some cities, the clowns are getting beat up. I thought, now that isn’t a bad idea, but I wouldn’t advise that. When I was a kid, Halloween antics included dozens of mushy tomatoes and cucumbers left behind in the garden. These have the impact of water balloons, and they make a fine mess. For this post, I referenced my program booklet for ACEEE’s 2016 Summer Study on…
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Last week, we explored the state of EM&V 2.0 and its considerable, to say the least, constraints. This week, we look more intensely at fallacious “automated M&V”. Automated M&V is an oversold and over-hyped concept. When something is automated, it takes inputs (data) from various sources, often hundreds of sources, with high frequency, maybe by the second or on a Hertz (many times per second) scale. Then the brains of the automated doohickey compute and translate the data into solutions or outcomes. For buildings of all types, from single family homes to large commercial and industrial facilities, automated systems are…
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Earlier this year, the Energy Information Administration (EIA) released its Commercial Building Energy Consumption Survey of 2012. The prior release was 2003. The data do not paint a pretty picture for energy code effectiveness. Other data we are accumulating indicate new construction programs are failing to deliver. Regress At first glance, it seems substantial progress may have been made between 2003 and 2012. The first chart is from the EIA website. As EIA states, “the only statistically significant changes since 2003 are for office buildings, education buildings, and commercial buildings overall.” That is weak, especially considering that the data cover all…
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The convergence of several issues, and AESP’s Summer Conference, Technology – The Great Game Changer, gave me no choice. I have to do this – talk about the many issues involving building energy models, which are used for everything from single family homes to high rise office and apartment buildings. I prefer the term simulation over model for these detailed and very complex computer models. In this post, Simulation = Energy Model. A Good Excuse for a Simulation The best use of an energy simulator is when there is nothing else to work with. When is there nothing to work…
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The Association of Energy Services Professionals (AESP) Summer Conference included interesting bookend plenary discussions for this post. The opening plenary featured motivational speaker, Murray Banks; not to be confused with Matt Foley: “eating a steady diet of government cheese and living in a van down by the river”. Actually, if triathlons and mountaineering were auto racing, the Banks family would be the Andrettis. The closing plenary featured representatives from SolarCity, Opus One Solutions, and Enbridge, Inc. SolarCity is the Elon Musk-owned photovoltaic manufacturer/installer. Opus One is a smart grid software company with ties to Tesla as well. Enbridge is a…
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In January, I wrote about code compliance and that while energy codes keep ratcheting down energy intensity in theory, reality is misery. That post was a thinly veiled advertisement for my AESP National Conference session in the Lion’s Lair, and that presentation can be seen here. My Lion’s Lair proposal was a thinly veiled pitch to fix what would be the equivalent of curing cancer for commercial HVAC systems. The cancer is the widely used variable, air volume system. Another boondoggled application of one such system triggered this post. The boondoggle was part of an evaluation we are doing on…
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Last week, I was reviewing a scope of work for retro-commissioning, also cleverly known as RCx – and it moved me to pulling hair out by the fistful. “That’s it”, I thought. “I’m going to relieve my rage on next week’s Energy Rant.”First, there is the infamous flow/process chart for completing an RCx project. As you may infer, I am not fond of the “Planning Phase”. In fact, it seems this process was developed by a program implementer for the program implementer (to spend more time and thus make more money while achieving little more than wasting time). Retro-commissioning has…
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Let’s skip the energy supply side this week and talk about thermostats used for cooling. Let’s broaden the discussion to include both programmable thermostats and “smart” or “learning” thermostats. The Nest falls into the latter group. Speaking for the Nest, which I have controlling my heating and cooling, it will learn user patterns by when, and to what level, the user changes temperature setpoints. It also secretly learns the users’ occupancy patterns by keeping an infrared eye on them. For instance, if the thermostat is in a heavy traffic area, it will learn to expect a lot of traffic, and…
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