Search Tool Search for and access past weather and climate data by station name or identifier, ZIP code, city, county, state, or country. Search Tool » Mapping Tool Find and view past weather and climate data by station name or identifier, ZIP code, city, county, state, or country.
Mapping Tool » Data Tools Access past weather and climate data using a collection of specialized tools. Data Tools ». The program that controls the plotting of the bin data on the psych chart has a lot of flexibility.
In addition to being able to select from a number of locations, you can control the size of the bin and the month s , day s , and hour s that are plotted. And you have a number of ways to access or display the data in addition to the plot style shown above. For instance, you can simply plot all of the data points on the chart; i. If you need to do calculations, you can export the data that is used by the chart to a text file.
Both of these file types can be opened by Excel, making the data available to you for energy calculations. As I researched this question, I realized that the answer could become an blog post or two of its own. And maybe I will do that at some point. But for the time being, I wanted to give you a feel for where this data comes from, at least my understanding of that. I think its important to have a general idea of where the information you use is coming from so that you apply it in an appropriate context.
For instance, projecting energy savings from climate data for a specific year vs. The specific year based projection has the potential to be very precise for that particular climate pattern and year. But it may understate or overstate things for the general case. For instance, if the specific year happened to be relatively mild, your energy use projections may be lower than you will actually see for a more typical year or an extreme year.
Normalized data bases that are created from the analysis of years of accumulated data are a step towards addressing this issue. It also includes links to a number of related references and resources. The information on the Engineering Weather Data CD represents data accumulated for approximately years, with the period of record called out in the headers of the tables associated with each data set. For instance, the data from Portland, Oregon, illustrated below was collected from to The CD also includes and electronic handbook that describes the data set in detail and makes recommendations on how to appropriately use it.
The data included with the electronic psych charts actually comes from a number of resources, which have roots that are the same as the resources used for the ASHRAE data in the Handbook of Fundamentals. If you buy a copy of the handbook or have obtained it as part of your membership benefits , the CD included with it actually contains. If I counted correctly, there are 74 locations associated with this data set. A word of caution when exporting data from the psych chart into a table for bin calculations.
When you do that, what I believe happens is the data for the typical year is exported. This data may not be exactly the same as what you would get if you were to take the years of data used to develop the typical year database and instead, create a bin weather database. The difference is somewhat subtle in that I believe the typical year data is selected to be the most representative of a typical year. The result may not be identical to what you would get if you averaged data for a long term time series.
In my opinion and this a field perspective and probably not scientifically correct using the data to project energy use is reasonable as long as you acknowledge the limitations.
The reality is that the field measurements I use along with the data have inaccuracies in them and my results are approximate anyway. I seldom actually report specific numbers, rather, I report potential ranges of savings. If I have to come up with one final number to fill out a form or something, then I use engineering judgment to figure out what I will use from the range I have established.
Usually, if a client sees more savings than you projected, you are a hero. But if they save less, you could end up a villain. Ultimately, there are a lot of variables and a lot assumptions imbedded in most of what we do in the field.
So, to me, the difference between using bins based on a typical year derived from a long time series vs. In terms of sizing equipment, the typical year data is probably not such a good tool because to size equipment, especially in critical applications, you probably need to look at the extremes. However, once you have your peak load established, the bin data is a great way to understand what the day to day challenges might be like and what the energy implications are.
And truth be told, that is where the real trick in making a building perform lies. Sizing a system to work for the peak condition is one thing, Getting it to work repeatedly, reliably, robustly, and efficiently under all of the other conditions it will see is another.
So there you have it; some ideas for ways to obtain bin type weather data for estimating energy consumption both here in the USA and abroad. You are commenting using your WordPress. You are commenting using your Google account. You are commenting using your Twitter account. You are commenting using your Facebook account. Search for specific hurricanes by name or year or view hurricane activity by region.
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