The Physics and Economics of Wind Turbines

September 17, 2009 by  
Filed under Policy, Wind Power News

By Charles Norz, Electrical Engineer, Milwaukee, Wisc.

A big issue in generating power from any renewable energy source is the cost of generation versus that for conventional hydrocarbon fuel sources. Wind energy is estimated to have the lowest cost of all renewable options. Governments and private businesses have been investing in research in this technology and results are paying off. For example, it is estimated that the cost per kilowatt-hour (cents/kWh) from wind energy has been reduced by 80% over the last two decades. Recent high efficiency wind turbines develop electricity for about 11 to 13 cents/kWh depending on turbine design and location. However, the lowest cost of hydrocarbon fuel sources is coal, generating electricity for about 6 cents/kWh. Still, there are many opportunities to further reduce the cost of wind energy.

The basics
A few basic calculations provide good insight to the issues of wind turbine design. Wind is an air mass moving from a high-pressure area to one of low pressure. To calculate the energy in wind, consider a segment of air shaped like a horizontal cylinder. The energy in it depends on the volume of air, density, and wind speed. The mass per unit time for a slice of the cylinder is:

M = ρAV
where
M = mass
ρ= density
A = area
V = wind speed

The function of a wind turbine is to transform the wind’s kinetic energy into electricity. Therefore, we must start with a calculation of kinetic energy or Ek, where:

Ek = ½ MV²

Substituting the mass of the air cylinder (ρAV = M) gives

Ek = ½ ρAV³

Thus, the amount of energy in the wind depends on the density of the air, area (in this case, the area swept by the wind-turbine rotor) and the cube of the wind velocity. The equation underscores the point that selecting an area of strong winds is advantageous because the power in the wind increases with the cube of its speed.
The equation looks impressive, but wind turbines are not 100% efficient. If a turbine was completely efficient it would transform all kinetic energy from the wind into electricity. This would mean the wind velocity would drop to zero behind the blade. We know that is not the case. In fact, Albert Betz published a book in 1926 that showed it is only possible to extract 16/27 or 59% of the energy from a wind turbine. This is Betz’ law. Therefore the theoretical energy model for a wind turbine is:

Ek max = 16/27 (½ρAV³)

In practice, however, the amount of extractable energy ranges from only 40 to 47%.

Reducing costs

A brief recap is that we can extract less than half the energy from the wind and that depends on air density and wind speed. So the next question is: How can we further reduce the cost of producing electricity from the wind? Three main considerations are site selection, swept surface or rotor diameter, and reducing a turbine’s cost for capital, installation, and maintenance.

Site selection

It is obvious from the wind-power equation that it is best to place wind turbines in areas of strong sustainable winds. Low wind speeds have no significant extractable energy when compared to areas of even moderate wind speeds.
Site selection requires extensive study of an area’s topology, and annual wind speeds and directions. Wind analysts study meteorological trends and generate tools such as a wind rose that show annual distributions of wind speeds and their direction frequencies. Wind-farm investors are then presented with cost justifications based on farm locations. Turbine engineers can select a best design based on the type of winds at the location. One trend is to place wind turbines offshore to take advantage of the unobstructed winds over water.

Swept surface

The amount of energy extracted from the wind is directly proportional to the swept surface area. Large wind turbines leverage economies of scale with an increased blade diameter. The industry has seen a continual increase in diameters from 40 meters (131 ft) and 20 to 60-kW outputs in the 1970s to modern 90 m (295 ft) 3-MW designs. The largest wind turbine today is a 7+ MW 126 m (413 ft) three bladed design engineered by German based Enercon for a research and development project.  Wind-energy-the-facts.org estimates that with improved manufacture methods we could see 250-m (820 ft) rotors on 20 MW machines by 2020.

Swept surfaces usually leads to confusion regarding a best wind-turbine design. An important factor in rotor design is the tip-speed ratio (Rts). This refers to the ratio between the wind speed and the blade-tip speed:
Rts = Vblade tip /Vwind
where
Vblade tip = speed of the blade tip

Feature 1 Graph1 300x190Why is this important? Imagine a wind turbine spinning slowly, say 1 rpm. Most of the wind (and energy) would pass through the space between the blades, thus “wasting” the energy and reducing the efficiency of the turbine.

On the other hand if the turbine spins “too” fast, two problems arise. The first is that the fast spinning blades acts like a wall to the wind. This reduces wind velocity in front of the blade much as the wind slows in front of a large building. This is a negative condition because the power of the wind is proportional to the cube of the wind speed. The second problem is that each blade of the turbine creates some turbulence in the air. When the blades spin too fast, each “slices” into the turbulence of the proceeding blade, again reducing the turbine efficiency.

A best tip-speed ratio depends on the number of blades in the rotor. The fewer blades, the faster the wind turbine spins to extract maximum power from the wind. Early experiments showed that a two-blade rotor has an optimum tip-speed ratio of about 6, a three-blade design about 5, and four blades, about 3. However, more recent highly efficient aerofoil designs have increased the numbers by 25 to 30%, which allows increasing rpm and therefore generating more power.

Reducing capital and maintenance costs
Manufacturers of wind turbines have been improving designs to reduce the system cost. Wind turbines are complex machines and so have many areas where costs can trimmed without a loss in performance.   Berkeley National Labs data base has shown that the costs of wind turbine had been declining but have recently seen some increases in costs of the past few years.

Feature 1 Prices

Source: NREL

One consideration leverages the advantages of a two-blade turbine. The obvious is the reduced cost of one blade. As the trend of larger rotor diameters continues, material use and blade cost will also increase. Other advantages of a two-blade design include savings on smaller mechanical equipment due to the lower torque of faster rotor speeds. A lower turbine weight then allows reducing the size or eliminating yaw controls. Lower installation costs come from only one top-lift. And less equipment means lower maintenance costs. Also as more turbines are installed offshore, two bladed designs offer the advantage of less weight which can directly reduce the cost of the tower platforms.

But a cost comparison between three and two-blade designs is not as simple as eliminating the cost of one blade. The three-blade turbine is a proven design and its rotor solves some mechanical loading challenges. Two-blade designs need additional equipment in the rotor hub to compensate for the loading, and thus, may increase the cost of the rotor compared with a three-blade hub. However, a total cost savings from a two blade design would have to include all of the savings described above.

With all the benefits of a two blade design, why are three blade designs in such wide use? And what mechanical loading challenges do three-blade designs solve? Gyroscopic tendencies are one issue.

Spinning rotors act like gyroscopes in their plane of rotation. That is, they are content to rotate in a plane but offer great resistance when changing directions (yawing) out of that plane. This is problematic when wind direction changes and the wind turbine yaws into the wind to maximize power generation and equalize blade loads.

Two and three-blade rotors both generate gyroscopic forces. However, the advantage of a three blade design is that at least two of the blades are always out the vertical plane at one time, thus reducing shaft and gearbox stresses when the turbine yaws.
When the wind changes direction and the blades of a two-bladed design are in the vertical, 6 o’clock position, there is a minimal amount of force on the hub because the loading of the blades are relatively equal.  However when the blades begin to move to the horizontal position it generates unequal loading that adds stress to the hub and gearbox.

To solve the problems, most modern two-blade designs use a hub that is not rigidly fixed to the turbine shaft, so it “teeters” a few degrees to reduce stresses. As manufacturers build larger and heavier wind turbines, gyroscopic forces will increase requiring larger and stronger two and three-blade hubs and thus increasing costs.

There is, however, an idea that with proper research and investment could eliminate the large gyroscopic forces on two-blade windmills, thereby making them viable for 5 to 20MW machines. The idea is cyclical feathering.

It can be used for keeping a wind turbine facing into the wind without hub and gearbox stresses. The idea is to control pitch of individual blades, thereby decreasing gyroscopic forces on the rotor when yawing. This would take advantage of the wind’s kinetic energy on the blade to assist in turning the turbine into the wind. Such a control feature cyclically alters blade pitch as the wind direction changes so as to present different angles of attack between the blades and wind. Another plus for the design: it eliminates the need for yaw drive motors.

Experiments with cyclical feathering on wind turbines have been conducted on a small scale and show great potential. A similar control used on helicopter tail rotors has been reliable and effective. Continued research and investments are needed before this technology reaches large-scale wind turbines.

Discuss the physics and economics of wind turbines at www.EngineeringExchange.com
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WindPower Profitability and Break Even Point Calculations

September 14, 2009 by  
Filed under Wind Power Projects

I have become increasingly tired of finding comments and discussion around the web, where random people make even more random claims concerning the numbers/money aspects of WindPower Generation. Due to this annoyance, I have researched and provided links for every piece of data you will find in this article. All data provided is backed up by a national/government resource and can be substantiated.

According to EIA (Electricity Information Administration) the average wholesale cost of electricity for 2007 was 5.72 cents per kilowatt hour (2007 is their most recent data). However, according to PacifiCorp annual reports (a Mid-American Subsidiary) the average revenue per kilowatt hour is 7.2 cents, this is the information necessary for calculation not the wholesale value. This statistic however is not constant. It varies by region, state, regulated vs non-regulated, and a number of other things. Some areas of the country have an average cost as high as 25 cents per kilowatt hour. However, for this calculation I will only use 7.2 because first off, this is in a regulated (conservative side of the numbers) area of the country. Secondly because I know these numbers to be factual, not estimated (look up PacifiCorp’s Annual reports for verification).

Calculations

This all being said, let’s get into the calculations.

According to NREL (National Renewable Energy Labratories) the formula for calculating profitability of a
wind turbine/farm is as follows:

Math Equation1

Where:

FCR is equal to fixed charge rate

ICC is equal to initial capital cost (cost of turbines, installation, balance of station)

LRC is equal to levelized replacement cost (yearly sinking fund for overhauls and replacements)

O&M is equal to operations and maintenance cost (annual turbine maintenance)

LLC is equal to land lease cost

AEP is equal to net annual energy production in kWh.

This formula will return a net profit, not revenue, not expenses, but total net profit


FCR So, lets assume we are a utility company who is building a 1 MW wind powered plant rather than building another coal powered plant. Since we are a utility company we expect our revenue per kilowatt hour (kWh) to be 7.2 cents as per above (not the wholesale price).

ICC Initial cost of capital is the total cost of the entire installation which according to AWEA (American Wind Energy Association) is $1.3 million dollars per MW or 1000 kW.

AEP From here we get our annual energy production (multiply 1000 kW by the number of hours the energy is produced (9.3 hrs/day * 365 days/yr)3,394,500 kWh’s. This is our estimted annual kwh’s produced or AEP. (9.3 hours per day stat found here)

LRC Next is the Replacement cost, well that is simple enough, if your turbine has a life of 20 years and a cost of $1.3 million. Divide $1,300,000 by 20 years to get your annual levelized replacement cost of $65,000 LRC.

O & M Operations and Maintenance cost simply run 8% of annual gross revenue (AEP * average revenue/kWh) $244,404 * 8% = $19,552

LLC Land lease cost of course is a variable as well but according to our AWEA statistics they run 5% of annual revenue = 12,220


Results

Now that we have actual numbers, not variables, lets calculate

Math Equation 2

= $0.05608 or 5.6 cents per kilowatt hour.

The next step we should take is to multiply this cost/kwh X total kWh’s produced or AEP

=.05608 * 3,394,500
= $190,363.56

This is the your total annual expenses. From here subtract expenses from Gross Income of (.072 * 3,394,500) 244,404

Math Equation 3This is your annual profit.

Now that we know how much we make each year, we need to plug that into a formula to find our ROI (Return on Investment)

Math Equation 4

If your turbine cost $1.3 million and you are getting a return of $54,041 that gives you an ROI = .04157 or 4.15 %. This is a fairly low number for ROI. Generally companies will require an ROI of 8% or higher if they are to invest in an idea/product.

Another very important figure is the Break Even Point or how long until your investment is paid for.

To figure this, we need the annual profits found above of $54,041 and the total cost found above of $1.3 million.

Math Equation 42

Therefore, the Break Even Point in our example is 24.05 years. As you can see here, when you have a product life of 20 years, your product will have paid for itself after 24.05 years.

Summary

What do we learn from this? Well at the current costs of turbines, turbine installation, and maintainance, along with the current price of 7.2 cents per kWh, WindPower is not the best financial decision a power company could make. This explains the exuberant amounts of federal grants and stimulus money being pumped into the renewables market. This being said, I still believe that WindPower is the future of energy production around the world, it just takes some time to integrate new ideas into the market place and for prices to become competitive. It is very rare to find a new product/technology that competes economically with an existing product/technology. If we do not start building and expanding now, when it becomes necessary to do so, we will not have the resources and/or infrastructure to make the necessary changes.