# Solar Radiation Model

Alignments to Content Standards: F-IF.B.4 N-Q.A.1

One online source suggests that exploiting solar energy makes sense in an area that receives $9\frac{kWh}{m^2}$ of solar energy per day and does not make sense in an area that receives only $2\frac{kWh}{m^2}$ of solar energy per day. Does it make sense to exploit solar energy in Santa Rosa?

## IM Commentary

This task was originally given to students in Santa Rosa. The task and the solution can be adapted to wherever the students live. The task is a seemingly straightforward modeling task that can lead to more involved tasks if the instructor expands on it. Even though the statement of the problem does not give the data source used in the solution, http://cdec.water.ca.gov/cgi-progs/staMeta?station_id=STA, an instructor could give out this information eventually.  An instructor could give only the first sentence and ask the students to come up with interesting questions to investigate and say what information students would be needed to answer them. After the class agrees to explore a question such as  the one about solar energy exploitation in Santa Rosa (maybe with some prodding by the instructor) the instructor can give the link to the solar radiation data and let the students explore the website.

In the solution given below, students investigate the problem using data given graphically . They have to interpret different features of the solar radiation graph such as maximum and minimum values and they recognize and use the quasi-periodic nature of the graph.

In this task, students also have to interpret the units of the input and output variables of the solar radiation function. The input variable is time and on the output variable is watts per square meter. Depending on the students’ experience with such quantities, the instructor may want to discuss what is meant by watts per square meter and what watt-hours and kilowatt-hours measure.

We can think of solar radiation as the maximum amount of power that hits a solar panel at any given time. When a solar panel absorbs power over time it creates energy, which is measured in watt-hours (or kilowatt-hours, kWh). Suppose a panel absorbs 5000 watts for 1 hour. Now we have 5kWh of energy. The example that 100 watt-hours is the energy needed to run a 100-watt light bulb for 1 hour is useful and might be familiar. So with 5kWh of energy we could run 50 light bulbs for 1 hour, or 5 light bulbs for 10 hours.

The task naturally brings up more questions: How much energy can a typical roof solar array generate? How much money could a household save by installing a solar array? How long would it take to offset the cost of installation?

## Solutions

Solution: 1

To begin to evaluate this statement we need to find data about the solar radiation in Santa Rosa. The California Department of Water Resources maintains a series of sensors at a variety of locations and the data can be found online at http://cdec.water.ca.gov. A quick look through the station list shows a station in Santa Rosa (http://cdec.water.ca.gov/cgi-progs/staMeta?station_id=STA) that collects solar radiation data.

To get a quick idea of the solar radiation we can graph the data for a few days. The graph below shows a 5-day stretch in July. The graph is very regular, almost periodic with maximum solar radiation in the early afternoon around 800 watts per square meter and lows of zero between sunset and sunrise. Zooming in on one day, we can compute the energy generated during one day in kilowatt-hours (kWh), as used in the quote from the internet. The units on the vertical axis are watts per meter squared. The units on the horizontal axis are hours. Watt-hours are a measure of watts received or used over time. So 100 watt-hours can power a 100-watt light bulb for 1 hour or a 50-watt light bulb for 2 hours. (See commentary for a longer discussion)

There are many ways to approximate the solar energy. For example, we can estimate the average solar radiation every hour and add up the averages over the course of the day: Between 9 and 10 am, the solar radiation is around $450\frac{W}{m^2}$. So during that 1-hour period, the solar energy generated is approximately $450\frac{Wh}{m^2}$.

A faster way would be to estimate the average solar radiation for the day and then to multiply by the length of the day. For the given day we can estimate the average solar radiation as $470\frac{W}{m^2}$. There are 15 hours of daylight so we have:

$450\frac{W}{m^2}\times15h = 7050\frac{Wh}{m^2} = 7.05\frac{kWh}{m^2}$.

We just computed the energy generated on one July day. We can now look at typical days in every month to see what the average daily solar radiation in Santa Rosa throughout the year is. Using the method where we estimate the average solar radiation and length of the day we have:

 Month average watts/m2 day length (hours) total solar energy per day (kWh/m2) January 260 11 2.9 February 320 11 3.5 March 400 12 4.8 April 440 13 5.7 May 500 14 7.0 June 530 16 8.5 July 470 15 7.1 August 440 14 6.2 September 410 13 5.3 October 380 12 4.6 November 260 11 2.9 December 260 10 2.6

So in Santa Rosa the solar energy is between the “definitely makes sense” and “definitely doesn’t make sense” numbers cited in the quote from the website.

A natural next question would be to see how much power a typical roof solar grid would generate and how much power a typical household uses.

Variables that would go into that calculation include:

• size of solar grid
• efficiency of solar grid
• power usage of the household

Solution: 2

One might notice, that in our graph, the energy generated by the sun over the course of the day is given by the area under the graph. There are many different ways to approximate this area. We can find out how much energy is represented by one box and count the total number of boxes:

One box has a width of 1 hour and a height of $50\frac{W}{m^2}$, so the area represents 50 watt-hours. There are roughly 131 boxes under the curve. Therefore the total solar radiation during the day is the following:

$50\frac{Wh}{m^2}\times131 = 6550\frac{Wh}{m^2} = 6.55\frac{kWh}{m^2}$.

Another approximation method would be to approximate the area under the curve with a triangle of base 15 hours and height $800\frac{W}{m^2}$, which would lead to the following:

$15h\times800\frac{W}{m^2}\times\frac{1}{2} = 6000\frac{Wh}{m^2} = 6\frac{kWh}{m^2}$. This method would produce an underestimate.

The thinking behind the area methods leads to ideas in calculus. Asking students to analyze graphs and the quantities related by a graph, paying particular attention to the units of the quantities involved, supports the students when they later encounter calculus concepts.