The links below provide an outline of the material for this lesson. Be sure to carefully read through the entire lesson befor returning to Canvas to submit your assignments.
For well-being and health, the homestead should be airy in summer and sunny in winter. A homestead possessing these qualities would be longer than it is deep; and its main front would face south.
— Aristotle, circa 350 B.C.
It is very warm and light, not only from the direct rays of the sun, but by their reflection from the sea.
— Pliny, circa 100 A.D., referring to the 'winter retreat' dining room in his villa.
Passive solar architecture can trace its origins back thousands of years. Buildings have long been used as solar collectors and thermal storage systems (D&B Chapter 14). Today we have some well-defined ways of calculating the time-dependent loads within our buildings, the space heating requirements, and the thermal behavior of buildings (D&B Chapter 9). This enables the active heating of buildings using solar thermal collection systems (D&B Chapter 13). On top of that, there are districts that have centralized or distributed solar heating systems for use at a community wide scale. With the technology available to us today, we could supply the vast majority of all building heating worldwide with solar thermal energy at reasonable cost. The key element is seasonal solar thermal energy storage enabling an adequate solution for regions with long winters due to poor solar access during that time (D&B Chapter 8). Appropriately sizing systems is a critical step towards good and cost effective solutions.
This lesson will take us one week to complete. Specific directions for different assignments are given in the table below and within this lesson pages.
Task | Assignment Details | Access/Directions |
---|---|---|
Readings | Required
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Registered students can use the following link to access the online textbook [2] through the University Library. |
Assignment | Mini-proposal on residential heating solutions. | More directions to the assignment are provided on the 7.3. Assignment page of this lesson. |
Quiz | 10 multiple choice questions based on assigned readings | Registered students can access the quiz in the Lesson 7 Module in Canvas. |
Discussion | Thermal energy storage: best options for the present; best ideas for the future | Please read directions and post your reflection in Lesson 7 Discussion in Canvas. |
If you have any questions, please post them to our Questions and Answers discussion forum in Canvas. I will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.
D&B Chapters 13 and 14 cover the two types of district heating; active and passive.
The difference between those types is rather simple. The active heating implies using specially designed solar collectors that are installed on the building and supply energy to partially of wholly satify the building energy loads. The passive heating means that building itself acts as a solar collector, and hence the properties of building materials and building design both play role in the energy balance of the system.
The typical basic components of an active solar heating system include:
Design approach is similar for both air and water heating systems, but the storage types and equipment are different. When such standard designs are applied to specific building cases, a number of key parameters are manipulated to ensure that the thermal performance of the system meets the space heating requirements. Please refer to the following reading for more details on active solar heating.
Book chapter: Duffie, J.A. Beckman, W., Solar Engineering of Thermal Processes, Chapter 13:
-- Sections 13.1-13.3 -- These sections present the basic information on how the solar heating systems are designed. It provides schematics and tables of design parameters that regulate the thermal performance. Study both types of designs - with air and water as heat transfer fluids.
-- Section 13.5 -- This section presents an example of computed design for a specific residence area and shows some parameter matching and performance data for this case.
-- Section 13.8 -- This section describes the concept of seasonal energy storage
Book chapter: Duffie, J.A. Beckman, W., Solar Engineering of Thermal Processes, Chapter 14: Sections 14.1-14.3
Website: Drake Landing Solar Community (DLSC), Okotoks, Alberta (Canada), URL: http://www.dlsc.ca/ [3]
This website contains information about the solar community in Canada, which implements a range of solar technologies to cover 90% of their space heating needs. The website contains description of features and technologies, and under 'Publications', you will find a number of bi-annual reports showing performance and meteo data from different periods of DLSC operation.
Duffie, J.A. Beckman, W., Solar Engineering of Thermal Processes, Chapter 14.
Read the rest of Chapter 14 of the textbook if you are interested to learn about various passive technologies and how they are assessed.
Energy storage is a very important element of many sollar heating systems due to inherent intermittency of solar flux. The storage unit is typically represented by medium capable of effectively maintaining its temperature over a certain period of time. When the direct solar gain is unavailable, storage heat can be used for meeting the load requirement. The optimal storage capacity (size of the unit) is always dependent on the expected time variations of solar radiation availability.
The D&B Chapter 8 describes several types of thermal energy storage, which can be used with either liquid-based or air-based heating systems.
The most common thermal energy storage system in many houses is a hot water tank. The insulated tank typically holds 50-80 gallons of water and can be very efficient at storing energy depending on the level of insulation. Solar water heating systems will often use a water tank that is sized larger than would be sized for a conventional domestic hot water system so as to increase the solar fraction of the system.
For solar heating systems that use air, a packed rock bed storage system is a great alternative to requiring water-air heat exchangers with a hot water storage tank. The airflow requirements of a packed bed storage system result in a limitation of rock bed storage, where, unlike in a water tank, heat cannot be input and extracted at the same time.
Both types - water tank and pebble bed - are storage options that were discussed earlier in space heating design.
Book chapter: Duffie, J.A. Beckman, W., Solar Engineering of Thermal Processes, Chapter 8. Section 8.3
You are encouraged to read through this chapter to become familiar with various avaiable options for solar thermal energy stoarge. The main focus here is put on Section 8.3 since it provides a clear analysis on the thermal performance of the water tank energy storage. The example 8.3.1. shows how you would approach temperature calculations in the storage over time based on the solar energy gain and properties of storage medium. As this example appears of good practical value, the video discussion (18:16) of it is given below.
PRESENTER: So this is example 8.3.1 from page 378 of Duffie and Beckman text. So we're asked to solve for the temperature in a hot water tank. So we're given a few things here, the mass of the tank is 1,500 kilograms. That's water. The loss coefficient area product of the storage volume or tank is 11.1 watts per degree Celsius, which you have to multiply by 3,600 seconds per hour to convert that into joules per hour, which we'll have to do later. Let's see here, the ambient temperature is 20 degrees Celsius. And the initial tank temperature is 45 degrees Celsius. In a table in the text, we are given the useful energy gain Qu as well as the loads for that tank-- how much water is drawn from the tank for each hour. And with that information, we're asked to find the temperature of the tank at each hour for 12 hours. So we're going to start here by solving for one hour by hand and then we're just going to implement in a spreadsheet to get the rest of the hours iteratively. So there are three methods of heat exchange in this tank. So first we have the loads, which are given in the example in the text. Then we have solar gains, which also given in the text. And these are calculated by the delta T, which is given by equation 8.3.1. And then the next mode of heat exchange is with the surroundings. We're losing heat to the surroundings by convection off the tank surface. And this one we can calculate with the equation 8.3.3. 0.3 So the first part is we need to know how much energy potential is in the tank to begin with. So calculate energy potential of the tank. And we do this with that first equation, 8.3.1. So the amount of heat in the storage unit that is available to us is a function of the mass of the tank and the key capacitance of the fluid in the tank and the temperature difference between the tank and the surroundings. So if we do a quick unit check on this, we have kilograms for mass. We have Cp up here I could have mentioned earlier. In the example, the heat capacitance of this fluid is 4,190 and the units are joules per kilogram Kelvin. So down here we have joules per kilogram Kelvin. And all of that multiplied by the temperature difference in Celsius, which is equivalent to Kelvin. So you can see that kilograms will cancel out as will Kelvin, and we're left with joules for the units here. So plugging in some numbers, we get 1,500 times 4190 times our temperature difference, which is 45 minus 20. Punch that in the calculator, we get 157.1 megajoules. So if you just punch that in, you're going to get 157 million joules. So that's step one here, is just calculating how much energy is there in the text. Next, we have to include some of these modes of heat transfer. We're going to include first the load and the solar gain. And we're going to essentially use the same equation, but flipping it around a bit. So now we're going to include Qu and Ls. So Qs is equal to, in this case, what we calculated before, 157.1. But now we're going to include 0 solar gain during this first hour and 12 megajoules of load, as per the table on page 378. It may be on the next page. I forget if it's on the next page or not, 379. So when we calculate that, including those important gains and losses, we end up with 145.1 megajoules. And that is equal to the mass of our tank, 1,500, times Cp, 4190, times-- we're going to call this T intermediate right here, so as we finish this calculation, that will make sense-- minus the ambient temperature. Solving for T intermediate, we get that it is equal to 43.09 degrees Celsius. 0.1 either way. So you take 145 right here, divide it by 1,500, divide it by 4190, and then add 20 back on to the other side. And then you get intermediate temperature, 43.09. So next, we have to include-- so come up here to the top of the page again. So now we're going to include loss to our surroundings. For that, we're going to use equation 8.3.3. Ts plus, so time at the next time step essentially is equal to Rt intermediate, or essentially the temperature of the tank in light of the loads and gains plus our time step divided by MCP, mass of the tank and the heat capacitance of that heat transfer fluid. Again, the useful energy gain, the loads, and now heat conductive losses times Ts minus Ta. Sorry for running out of room up here. Just squeaking it in on the edge there. So here we have our T intermediate is 43.1. Our timestep is-- I should make that a lowercase t, actually-- timestep is one hour. Mass is 1,500 Cp is still 4190. Qu is still 0. Loads are still 12. Ua is 11.1 times 3,600. Ts is 45 and Ta is 20. So once you plug all those numbers in, you end up with 43.1 plus an additional loss, which is negative 0.16. So you end up with Ts plus equals 42.9 degrees Celsius for the end of hour 1. So the table from page 378 gives us these 12 hours. And then next, we're given the solar energy gain at each hour, and we're given the load profile at each hour. So for this first piece, we have 0 solar gain and 12 megajoules of loss. And the initial temperature is 45 degrees. So let me clear these contents here so we can type them all in. Over here on the right, you can see I've set up the system parameters. Heat capacitance of the tank is 4190, mass of the tank 1500. Ambient temperature is 20 degree Celsius. And the heat loss coefficient is 11.1, which is equal to 39,960 joules per hour. So I have to change the units on that one, because we're looking at hourly data. So for this first thing here, Qs, how much energy is in the tank, essentially? So that's equal to the mass of the tank times the heat capacitance of the fluid times the temperature difference. So 45 minus T ambient. And we want this in megajoules, because that's the units of our solar gains and loads. So we're going to divide by 10 to the 6 to convert from joules to megajoules. Because as you can see, our heat capacitance is in units of joules per kilograms Kelvin. So you've really got to make sure that you're tracking your units through this stuff. And I that really throw your answers off in any situation. And in order to be able to drag this column all the way to the ground, everything that's from the parameters section needs to have those cells held so that they don't move anywhere. So you get 157. If we look back at what we calculated before, you can see that that is exactly what we got right here, 157 megajoules for that first step. So that's great. That equation looks like we've implemented it correctly. So then we move on to the next cell, this T intermediate. And for this one, we want to add up the different loads and gains in light of the ambient temperature to figure out what the temperature of the tank is in light of those factors. So we're going to have our solar gains minus our loads plus the ambient or the total tank potential energy, essentially, in light of the temperature difference. And now we have to multiply it by 10 to the 6th for the megajoules and joules conversion. Because those are in megajoules, we want to get back into joules briefly for this intermediate step, because we're going to have to multiply by the system parameters again. And then we multiply by M Cp. So again, we're going to want to tag these ones with dollar signs that get held when we drag those cells down. And right off the bat, I see I made a mistake. I have 23.1. I also need to add in the ambient temperature for this step. 43.1. And so if we go back to our handwritten example right here, that answer 43.1 after implementing this equation right here into our spreadsheet. So that's great. So we did that step correctly as well. And then the last piece of the calculation is just to calculate, well, what is that final temperature at the beginning of the next time step or the end of this time step? So to do that, we use equation 8.3.3. And this is equal to that intermediate temperature that we calculated here in light of gains and loads, plus now the losses to our surroundings. We haven't included that yet. So that's the last piece that we have to include. I could have done all of the T intermediate and this last calculation in one step. But it's a little bit more transparent by splitting it up. The textbook doesn't split that up, and it makes it a little bit hard to figure out. So plus 1 over mass of the tank times the heat capacitance times the energy gained minus loads minus 11.1 times 3,600, which is this number over here, M in the M column, 39,960. That's 11.1 times 3,600. So again, get it in units of joules instead of watts. Because a watt is a joule per second. So this is actually-- that's a typo right there. I'll fix that in a minute. And then you have to multiply that Ua sub s term by the temperature difference of Ts, tank temperature minus T ambient. Then we've got to close all of our parentheses, to add a few dollar signs in here, to lock these cells so we can drag them down. C2 D2 M5 needs to be locked and K4 needs to be locked. That should do it. So the typo I mentioned earlier, this one right here, should not be watts per second. It's just watts. And then that means that when you multiply-- because a watt is a joule per second. So we want joules, so joules per hour, the hourly data. So that's this cell, you can see, is simply 11.1 times 3,600. So back up here to our H column where we had just typed in that last T sub s to the plus equation, you can see that after we do that, we get 42.9, which going back to our hand calculation right here, that's what we had. So we've implemented that equation correctly as well now. So now that we have that, we should be able to simply set this cell in column E equal-- so this is the tank temperature at the beginning of time step number two. We should be able to set that equal to the temperature of the tank at the end of the previous time step. So if we drag that down through all the hours and then we proceed to drag these guys down through all the hours, and then plot it, we will get the temperature over time at all those time steps. And that's the solution for this example. Thanks for listening. Again, this has been example 8.3.1 in the text.
Seasonal thermal energy storage is a hot topic at present. The type of storage enables the wintertime use of abundant solar thermal energy from the summer months. While as much as half of the collected summer energy that is put into any seasonal thermal energy storage system is lost, the remaining half that is stored and eventually extracted can cover as much as 95% of the total heating requirements. [source: Sibbit et al., The Performance of a High Solar Fraction Seasonal Storage District Heating System – Five Years of Operation [4] Energy Procedia, 2011]. The Drake Landing Solar Community in Alberta, Canada, that you became famliar with in the previous Section, is an example of unprecedented success in the field of seasonal thermal energy storage for the heating of buildings. Seasonal thermal energy storage systems can take many years to achieve their operational goals as there is a lot of thermal lag while the system “charges” over the course of the first few summers. Retrofitting a building or community to use a seasonal thermal energy storage system can be challenging, especially in urban settings, since most such storage systems are large and are installed underground and hence may require digging or drilling, which can be both costly in space-demanding. Some solutions to this cost barrier include compact drilling rigs for urban settings and horizontally oriented storage system layouts.
The method called f-Chart is one of the empirical frameworks that uses standardized metrics to characterize the long-term performance of solar heating systems. It was originally developed by Klein, Beckman, and Duffie in 1976. Although it has some uncertainties and is mostly applied to standard designs, it provides a quick and robust estimate of system performance using collector parameters and average monthly radiation and temperature data. To this end, understanding the f-Chart data can be useful.
The f value, which is a targeted output in f-Chart computations, characterizes the fraction of a total heating load supplied by solar energy:
\[f = \frac{{{\rm{solar_-energy_-input_-to_-load}}}}{{{\rm{total_-energy_-load}}}} = \frac{{{L_s}}}{{{L_s} + {L_a}}}\]
To set up the calculation you need to choose and specify the following variables: collector area, collector type, storage capacity, fluid flow rates, heat exchanger sizes. Those parameters can be set at the design stage and can be adjusted further to achieve a desirable outcome.
The f-Chart model correlates those parameters with thermal performance. This correlation is empirical and is the result of treatment of hundreds of simulations and case studies of solar heating systems. In the end, f is presented as a function of two dimensionless parameters X and Y:
\[X = \frac{{{\rm{collector_-energy_-losses}}}}{{{\rm{total_-heating_-load}}}}\]
\[Y = \frac{{{\rm{total_-energy_-absorbed_-by_-collector}}}}{{{\rm{total_-heating_-load}}}}\]
These metrics are normally defined for a one-month period. In terms of collector properties, these values can also be expressed as follows:
All the parameters and properties used in these metrics are available from collector tests and conditions chosen, so they should be quite straightforward to calculate. Let us define all the properties included (D&B, 2013):
Ac = collector area (m2)
F'R = collector heat exchanger efficiency factor
Δt = total number of seconds in month
Ta = monthly average ambient temperature (oC)
Tref = empirical reference temperature (100 oC)
L = monthly total heating load for space heating and hot water (J)
HT = monthly average daily radiation incident on collector (J/m2)
N = number days in month
(τα) = monthly average transmittance-absorptance product
The products FR(τα) and FRUL are determined from standard collector tests. The example calculations of X and Y values for a typical solar heating system are given in Example 20.2.1 of the D&B textbook. Further, X and Y are used to calculate f - the monthly fraction of the load supplied by the solar energy. For tha purpose, the following empirical equations are used:
For liquid systems:
\[f = 1.029Y - 0.065X - 0.245{Y^2} + 0.0018{X^2} + 0.0215{Y^3}\]
For air systems:
\[f = 1.040Y - 0.065X - 0.159{Y^2} + 0.00187{X^2} - 0.095{Y^3}\]
Note: these equations are the result of model data fitting (so do not try to justify it by any theoretical derivations). They are simply used as the approximations of model results fitted to the pair of X and Y values.
Further, the total solar fraction of annual load (F) can be found by the sum of all monthly fractions:
\[F = \frac{{\sum {{f_i}{L_i}} }}{{\sum {{L_i}} }}\]
For example, for a liquid-based heating system, if we perform this calculation for different collector areas, we observe an increase of solar energy fraction as the system gets larger (Figure below). Based on this output, we can select the collector area for the project to cover the desired amount of energy needs.
The chart above is only one representation of f-Chart performance data. A number of other properties can be presented in similar diagrams. Please refer to the following reading to learn more details about the f-Chart method and to see more examples and illustrations of how it is applied.
Examples in Sections 20.2-20.4 are especially useful.
The f-Chart method can be applied to the following systems (Haberl and Cho, 2004):
The following types of solar collectors can be included in this treatment:
To summarize: the f-Chart method is an express tool for thermal design assessment. It allows quick estimation of solar heating system performance, although errors up to 5-10% may be present due to approximations. That is the price of speed and convenience. The uncertainties may be due to variations in meteorological data, averaging performance data, system use and occupants' behavior, and individual system flaws and imperfections.
This method is especially recommended for exploring relative effects of design changes and also as a benchmark for comparison with real-life performance data from a system.
While the calculations described above can be made by hand, there is licensed software (FCHART) available (but not free) via www.fchart.com [5] (2005).
References:
Duffie, J.A. Beckman, W., Solar Engineering of Thermal Processes, John WIley & Sons, 2013.
Haberl, J.S. and Cho, S., Literature Review of Uncertainty of Analysis Methods (F-Chart Program), Report to the Texas Commission on Environmental Quality, Energy Systems Laboratory, Texas A&M Univeristy, ESL-TR-04/08-04, August 2004.
Klein, S.A., Beckman, W.A., and Duffie, J.A. A Design Procedure For Solar Heating Systems, Solar energy 18, 113- 126 (1976).
Buildings are often not designed to maximize solar utility for the building occupants. As such, there can be some “low hanging fruit” when it comes to increasing solar gain and solar energy utilization in the heating season. Additionally, active solar heating systems can be set up to offset significant portions of annual heating costs.
Consider the heating of your home, apartment, or office during the heating season. If you are in a region where there is little or no heating requirement, please imagine your home, apartment, or office in a location where you would need a heating system. What solar passive solutions would reduce your heating requirements at low capital cost? What solar active systems would help to offset your energy consumption for space heating? Section 13.2 of the D&B text provides some system schematics and specifications for typical, active solar thermal systems to give you some ideas.
Write up a 200-300 word mini-proposal of your solar thermal heating solution(s) for your built environment of choice. Include two schematics:
Prepare both schematics using any convenient software (Power Point, CAD, SketchUp, etc.). Please insert your graphics to your proposal document and save as PDF. Submit your report as a single PDF file to the Lesson 7 Assignment dropbox in Canvas by 11:55 pm Wednesday night.
Buildings are solar energy conversion systems, absorbing solar radiation and impacting comfort within building zones. Building facades (walls) behave as flat plate absorber systems (with no covers) while windows behave as cavity absorber systems - the radiation is transmitted through the window and part of it is reflected around in the zone until it is absorbed by the floor, walls, and ceiling. The energy balance of a building is comprised of gains, loads, and losses, all of which are time dependent. Careful accounting of each piece of the overall energy balance and choosing the right specifications for collector and energy storage are needed to create an energy-efficient dwelling.
Please double-check the to-do list on the Lesson 7 Introduction page [6] to make sure you have completed all of the activities listed there before you begin Lesson 8.