The cost of delivery is how effectively each energy can be transported to people, particularly high population areas. Since line loss, energy dissipating from electricity lines, occurs, it is important to put electricity generators close to the market it is intended to serve. The closer it is to the market, the less electricity is lost. Furthermore, putting up electric lines and the infrastructure associated with electric lines comes at a cost which is preferably avoided. This means the cost of delivery is highly dependent on where an electricity generator may be put.
Nuclear power plants are very flexible in where they can be placed. According to Lydia DePillis, an energy writer for Slate, the three factors considered in building a nuclear power plant is “state laws, geography, and the disposition of the local community.” Since the dispositions of the local community and state laws are variable and can be changed over a short period of time, they will not be considered in economic analysis, but will be examined further in the political implications section. When it comes to the geography factor, nuclear reactors need to be placed near large bodies of water, whether it is the ocean, a large river, or a large lake. The water source is used as a coolant for the reaction.
Since coal and natural gas are also thermoelectric power, meaning they create steam to spin electric turbines, they have similar requirements as nuclear energy. They require large amounts of water as a coolant, meaning they need to be placed near water sources. In Colorado, this limits us to the natural lakes, reservoirs, and rivers that can be seen in the provided figure. While reservoirs can be created specifically for nuclear, coal, or gas plants, this is an expensive and preferable option. However, there are water features spread out across Colorado, making it possible to construct these plants essentially anywhere.
For renewables like solar and wind, farms must be placed where they will be most effective. The wind doesn’t blow at the same rate everywhere and the sun doesn’t shine equally across the United States. Solar farms must be placed where they will get the most sun and wind farms must be placed where they will get the most wind. Looking at the map provided by the National Renewable Energy Laboratory, we can see where the sun shines most intensely in the United States and least intensely. This map shows that the south western area of the United States has the most ideal sun exposure for solar energy, and the north eastern area of the United States is one of the least ideal areas for sun exposure. A majority of Colorado rests in 5.5-6.0 kWh/m2/day. While a lot of Colorado rests in a higher area of sun exposure, some of the most populated areas in Colorado, specifically Denver, Boulder, and Fort Collins, do no fall into, or barely fall into, the higher sun exposure areas, thus creating a higher cost of delivery for solar energy in Colorado.
For wind, The National Renewable Energy Laboratory provides a map giving the average annual wind speed at 80 meters above ground level. This map shows that the central United States has the highest average wind speeds, making it more favorable to wind farms as compared to coastal areas. Most of Colorado ranges on the lower end of wind speeds from less than 4 meters per seconds to 5.5 meters per second, though the eastern side of the state ha pieces that can range 8.5 to 9 meters per second. These eastern areas would be the most ideal for wind farms in Colorado, but they are also far away from Colorado’s population centers like Denver, Boulder, and Colorado Springs thus creating a higher cost of delivery for wind energy.
Looking at these geographic implications, we can assess the relative cost differences of the energy sources for delivery. Natural gas, coal, and nuclear all are very versatile, as their only requirement is that they need to be near a water source. Wind and solar energy are less versatile and require higher levels of wind and sun exposure. However, sun and wind exposure do not always line up with areas of population, thus increasing its relative cost of delivery.