I fell asleep to a TED Talk while visiting New York City the other night, but a startling statement brought me back to consciousness. New studies predict the oceans could rise by close to two meters (more than six feet) by the end of the century. That’s double original estimates and only 83 years from now - in our kids’ or at least our grandkids’ lifetimes!
Energy efficiency program evaluation sounds so arcane, most people, I’m sure have no idea that there are large cohorts of people (cohort is a word we use frequently in evaluation) who spend their lives verifying the results, the savings, from energy efficiency programs. Because energy efficiency program evaluation (evaluation hence forth in this blog) is outside the realm of day to day life, most of us are completely unaware it exists. This post is about my vision for how evaluation and real life (in the commercial, institutional, industrial (C&I) building operations world in which I work) could intersect in ways that could make buildings, programs and evaluation better and lower costs for ratepayers.
On a current project that Cx Associates is consulting on, the client has a goal of reducing their building’s peak demand charge. For commercial customers, peak demand charges are usually charged based on the peak kW demand of the building or facility during a certain time (e.g. 1-4 PM) of the day. If there is a peak kW outside of this specific time frame, there is no “peak demand charge” from the utility for this peak kW.
Inspired by a recent vacation to Ireland, I was compelled to research Ireland’s energy sources and what forms of renewable energy they are utilizing. Ireland is not a large country (slightly smaller than Indiana, geographically) and is not densely populated with the exception of a few cities. My vacation toured the southwest/western coast as well as Dublin on the east coast. In this blog post, I will discuss what I learned about Ireland’s energy sources and how the country is utilizing renewable energy.
In Part One One of this series of posts on RS-485, I gave a high level introduction to the structural and electrical components of RS-485 networks. This week I’ll elaborate on those concepts and delve a little more deeply into some of the industry terminology and how it applies to those concepts. As always, please feel free to drop a comment if you have any questions or want further discussion on any of this information.
For more than a decade, Vermont has been contributing energy efficiency to the New England electricity grid in the Forward Capacity Market (FCM). As a consumer, whether business or residential customer, we think of efficiency improvements as a personal gain, reducing our overhead costs, improving our building’s performance and helping our own pocketbook. Seldom do we think about the impact of energy efficiency on the electric grid, where it actually has a trickle-up impact of our actions onto the bigger picture. But energy efficiency is part of the “supply” for the grid, just like oil, natural gas, solar and other sources. Ben Fowler’s post last month showed a graph of the Generation Fuel Mix of the Philadelphia electric utility. What that doesn’t show is how much is taken off the grid by energy efficiency projects. States take this unrequired energy into account in planning of future energy and infrastructure needs. This has led to avoiding building or expanding substations, transmission lines, and power plants.
Topics: Energy Efficiency
What is RS-485 and what does it have to do with buildings or building controls? If you’re asking this question either you’re just curious, or maybe something isn’t working quite right and you’re Googling to find an answer. Either way, I plan on giving you a high level understanding of RS-485 in this post, and how having a better grip on how it works can help building operators and controls contractors control their building more effectively.
Recently, I was down in Philadelphia visiting family. Being late August, it was 95°F out with a dew point in the low 70’s. Overwhelmingly hot was an understatement, but I do know these things are relative. The residential window air conditioning unit (or as we like to call them in the office, “window shaker” for I think obvious reasons) was running full-tilt and not keeping up. The compressor hadn’t paused for the over an hour. Meanwhile, PJM, the Independent System Operator (ISO) serving the large mid-Atlantic/Central US region including Philly was projecting a 142 gigawatt afternoon peak electric load, with more than 1/3 of this load met with “dirt burners,” more commonly known as coal power plants. See the table below for the generation fuel mix and real time and projected load stats. This kind of info is provided on all the ISOs I’ve checked, which is interesting for us energy geeks. Looking at the data, it made me think I should have just shut the thing off.
Metering equipment, such as light loggers, temperature loggers, and AC current loggers can be very useful tools and sometimes necessary in the world of energy efficiency consulting. They can provide useful data on how equipment is operating and performing. I have written about metering in previous blog posts including one called “EM&V Metering: Right Place, Right Time, Right Duration” where I described the importance of identifying the correct way of deploying meters. In this post I am going to discuss the importance of verifying that meters or loggers are working correctly even before a metering plan is developed or the devices are deployed, as well as the importance of ensuring that the correct sensors are chosen for the application.
Many of the readers of the Building Energy Resilience blog may not know that when I started working in the field of energy efficiency, my focus was on multi-family housing serving people with low incomes. ACEEE recently published this study on the income burden for low-income households. The energy burden is the percent of income paid for energy. It turns out that low-income households have two times the energy burden of the median household – paying over 7% of annual income in energy costs.