Lab # 5 Modeling Ecosystem Energy and Water Interactions

Geog 410 Modeling of Environmental Systems

Lab 7 Modeling Incoming Solar Radiation

Due Date: 2nd, Nov, 2007

1 Objective

(1)  Energy is the ultimate driving force for all ecosystem processes. The objective for this lab is to calculate the amount of solar radiation available at a horizontal surface at any place at any time under a typical clear sky condition.

(2)  In this lab, we will learn how to use MATLAB for simple modeling purpose.

2 Theories

All energy on earth surface ultimately comes from the sun. The energy flux from the sun at the top of the atmosphere per perpendicular to the sun beam is called the solar constant (S0=1367 w/m2). However, the sunbeam must pass through a thick layer of atmosphere in which it will be subject to attenuation (scattering and absorption), reducing the amount of solar radiation received on the Earth surface. In the meantime, the beam solar radiation at the top of the atmosphere will be broken into two components: the beam (or direct) and the diffuse components. The total radiation at the earth surface is the sum of the beam and diffuse radiation.

(1)

Where St, Sb, and Sd are the total, beam and diffuse radiation on a horizontal surface, respectively. The amount of attenuation of solar radiation is a function of atmospheric conditions (e.g. presence of clouds, haziness etc.). The fraction of solar radiation that arrives the Earth surface when the sun is at the zenith is called atmospheric transmittance. In a typical cloudless clear day, the transmittance of the atmosphere is τ=0.75, meaning 75 percent of the direct radiation reach the earth surface when the sun is at the zenith.

Depending on the time of the day, the distance that the sunbeam passes through the atmosphere is different. The attenuation amount accumulates as along the pass of sunbeam. Thus on a horizontal surface, the direct sunbeam arriving at the Earth surface is

(2)

Where θ is the solar zenith angle and m is the air mass that the sunbeam passes.

(3)

Where pa is the atmospheric pressure at (kpa) at the point of interest. The constant, 101.3, is the standard atmospheric pressure at the sea level in kpa. The diffuse component of the radiation at the earth surface is

(4)

Where cos(θ) is calculated as

(5)

Where φ is the latitude, and ω is the hour angle. δ is the sun declination angle which is the latitude that the sun is on, and

(6)

where J is the Julian date, J=1 for January, 1 and J=365 for December 31.

3 Steps

1.  Start the MATLAB program under windows.

2.  Define the constants in MATLAB;

Latitude is 39.8 degrees, Julian date is 181 days, transmittance is 0.75, solar constant is 1367 w/m2, air pressure is 100 kpa,

lati=39.8; % latitude of the place (degrees)

Julian_date=181; %Julina date of June 30, 2007.

t=0.75; % transmittance (unitless)

S=1367; %solar constant (w/m^2)

p=100; %air pressure (KPa)

3.  Define the time at which we want to calculate the solar radiation;

hours=[7,8,9,10,11,12,13,14,15,16,17];

4.  Calculate the hour angle;

hangle=(12.0-hours)*15.0*pi/180.0; % Note pi/180.0 is the factor to convert angles in degrees in radiances.

5.  Calculate the sun declination angle;

declangle=23.45*sin(2.0*pi*(284.0+Julian_date)/365.0)*pi/180.0;

6.  Calculate the solar zenith angle;

cosz=sin(lati*pi/180.0)*sin(declangle)+cos(lati*pi/180.0)*cos(declangle)*cos(hangle);

Notice: “cosz” is an array now containing the cosine of solar zenith angle for each hour listed in the array “hours”;

7.  Calculate optical air mass, m.

m=p./(101.3*cosz);

Notice: A constant divided by an array is not defined, if we add ‘.’ before ‘/’, that means the constant is divided by each element in the array;

8.  Calculate the beam radiation, diffuse radiation and total radiation.

Sb=cosz*S.*(t.^m); % Sb is the beam radiation on a horizontal surface

Sd=0.3*(1.0-t.^m)*S.*cosz; % Sd is the diffuse radiation on a horizontal surface

St=Sb+Sd; % St is the total radiation;

Notice: A array multiplied by an array, if we add ‘.’ before ‘*’, that means each element in the first array is multiplied by the corresponding element in the second array; if an array is on the index of the exponential function, we must add ‘.’ before ‘^’ to show that for each element in the array, we calculate the power of t.

9.  Plot the radiation to a figure;

plot(hours,Sb,'-'); % Plot the beam radiation, ‘_’ indicates plotting with a solid line

hold on % Based on the current figure, you can plot new series on it and the MATLAB does not generate a new figure

plot(hours,Sd,':'); % ‘:’ indicates plotting with dotted line

plot(hours,St,'--'); % ‘--‘ indicates plotting with dashed line

hold off % Close the function that you can add new series to the current figure.

>xlabel('Hours of Day');

ylabel('Solar Radiation (w/m^2)');

legend('Beam radiation','Diffuse radiation','Total radiation','Location','Best'); % Note the sequence of the label must be exact corresponding to what you have plotted. 'Location', 'Best', means MATLAB will place the legend to the best location the software think it is. If you don’t like the location, you can always drag it to the place where you like.

Now you have calculated the beam, diffuse and total radiation on a horizontal surface at latitude 39.8 degrees North on Julian date 181 (June 30th) for atmospheric transmittance at 0.75 and air pressure at 100 kpa. You may see the radiation like this:

10.  We have put all the commands in a file and created a Matlab .m file named “lab7_radiation.m” in the data/ directory. You can copy and paste it to your student folder;

11.  Run the m file to complete the following problems.

Problems

1.  Create a graph showing the hourly patterns of beam, diffuse and total radiation. Describe the patterns you see on the graph.

2.  Create the same graph above for a place with latitude at 0 and 60 degrees.

3.  Create the same graph above for a place with altitude at 3000 and 5000 meters.

4.  Create the same graph above for January 1, March 21, June 21, and Sept 21.

5.  Describe how the total solar radiation received on a horizontal surface changes with respect to latitude, date of the year, and elevation.

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