Fuel costs are only one of several criteria that shape energy equipment purchase decisions. In the residential sector, consumers may consider a wide range of factors in addition to purchase costs including expected utilization rates, equipment purchase incentives or rebates, the rate at which future energy savings are discounted, and relative utility rates when making space conditioning equipment choices.
Decision makers in the electricity generating sector must likewise weigh non-cost factors that influence generating technology choices. An analysis based on projected fuel prices and demand shows that the total levelized costs of coal-fired and natural gas-fired combined-cycle generating plants are affected differently by key assumptions. The coal-fired plants' costs are more heavily affected by factors influencing per-unit capital costs, while the natural gas-fired plants' costs are driven primarily by operating cost factors.
In both sectors, fuel prices are only one of a number of determinants of the capital equipment decisions. All factors must be carefully considered in order to make the optimal (lowest life-cycle) choice.
Current and expected fuel costs are important criteria in the selection of energy equipment, but other factors also play critical roles. These factors include interest rates, prices of alternate fuels, consumer preferences, and equipment capital costs, operating costs, and operational efficiency. This article uses sensitivity analysis of examples from the residential end-use and electricity generating sectors to show how non-cost factors can overrule fuel-cost advantages in technology selection.
Some of the considerations involved in selecting a space conditioning system include:
We estimate the costs for these two systems for the period from 1990 through 2010 for each of the nine U.S. Census divisions *(2). Future costs are discounted *(3) and expressed in present dollars. Because different consumers may have widely varying implicit (observed) discount rates and because of the sensitivity of comparisons to variance in discount rates, we employ a range of discount rates in the examples for each option. When costs are discounted over the life of an investment, the discounted total is often referred to as the life-cycle cost of the investment. Because the 1990-through-2010 period approximates the average life of a gas heating system, we refer to the cost comparisons as life-cycle cost comparisons. Both the heat pump and the air conditioner component of the G/E system are assumed to require replacement before the end of the period.
Our sensitivity-case calculations begin with the equipment cost and performance data, including installation and maintenance costs, equipment lives, and energy efficiency ratings (Table 1). The calculations also incorporate life-cycle cost estimates (Table 2), derived from the following:
| G/E System | ||||
|---|---|---|---|---|
| Characteristic | Gas Furnace | Central A/C | Total | AE System |
| Installed Costs | $1,428 | $2,222 | $3,650 | $3,015 |
| Annual Maintenance Costs | na | na | $102 | $102 |
| Average Equipment Life (years) | 20 | 13 | na | 12 |
| Equipment Efficiencies: | ||||
| AFUE | 80% | na | na | na |
| SEER | na | 10.50 | na | 10.50 |
| HSPF | na | na | na | 6.80 |
Source: Calculated from data in Arthur D. Little, EIA Technology Forecast
Updates, Reference Number 41615, June 1995, pp. 16, 20, and 22.
| 1995 | 2000 | 2005 | 2010 | 2015 | |
|---|---|---|---|---|---|
| Electricity | 24.74 | 24.49 | 24.62 | 24.63 | 24.72 |
| Natural Gas | 5.95 | 6.08 | 5.96 | 5.89 | 6.39 |
Source: Energy Information Administration, Annual Energy Outlook 1996, DOE/EIA-0383(96), p. 78.
Sensitivity Cases. The installed cost of the G/E system is more than $600 higher than that of the A/E system (Table 1). However, the G/E system saves $100 to $400 in fuel costs annually, depending upon Census division. The calculation of life-cycle costs gives weight to both the initial installation savings of the AE system and the future energy cost savings for the G/E system. The importance of the lower energy costs to the equipment decision varies with the discount rate; lower rates place a relatively higher weight on the future energy costs. In our examples, the life-cycle costs for the G/E system are lower than those of the AE system at the lowest discount rates. However, even at very low discount rates, for households with below average heating loads (for example, loads in very small dwelling units) the resulting reduced stream of energy cost savings for natural gas systems is sometimes insufficient to offset the higher installed costs.
We calculated life-cycle costs at discount rates of 5, 20, 35, and 50 percent for each Census division and for the following five sensitivity cases:
Life-Cycle Cost Advantage of a Gas/Electric Space-Conditioning System
(Number of Census Divisions)

Source: Projection by Energy Information Administration, Office of Integrated Analysis and Forecasting.
It is noteworthy that life-cycle costs are relatively insensitive to declining electricity prices. Regardless of the discount rate, in only one Census division did the AE system yield lower projected life-cycle costs compared with the AEO96 price case. This result occurred with both the 35-percent and 50-percent discount rates. We conclude that the initial difference in natural gas and electricity prices (electricity prices are four times higher per Btu than natural gas prices) outweighs, in most cases, an electricity price decline of 2 percent per year.
A second result is that the effects of electric utility incentives can be critical to the life-cycle cost calculation because a rebate occurs early in the cycle, when the present-value impact is the greatest. With a $500 rebate, at the two highest discount rates used, the life-cycle costs of the AE system are lower than the G/E system in all Census divisions. At the 5 percent discount rate, there is no change; the G/E system's life-cycle costs are still lower. At the 20 percent discount rate, AE system costs drop below G/E system costs in four Census divisions.
The sensitivity cases illustrate two ways in which utilization rates can also be important influences on life-cycle costs. First, heating and cooling energy requirements vary considerably across climate zones. In the AEO96 price case, for example, at higher discount rates the AE system tended to gain a cost advantage in the more moderate climates, where utilization for space heating is lower. Second, factors other than climate may also lead to below-average utilization, including less conditioned floor space per housing unit, occupant preferences for more conservative thermostat settings, and seasonal occupation of units. Relative to the AEO96 case (which assumed average utilization), the low utilization case significantly increased the likelihood that the AE system would yield lower life-cycle costs than the G/E system at all discount rates except 5 percent. Utilization rates can thus influence equipment choices even when climate and equipment availability are similar.
Finally, as mentioned above, at the 5 percent discount rate the G/E system was least costly in all sensitivity cases. This demonstrates the strong effect of the stream of future cost savings when discount rates are low.
As in the residential sector, the technology with the lowest fuel costs is not necessarily the most economical over the long run. For example, a typical pulverized coal-fired plant is much more expensive to build and less efficient in operation than a natural gas-fired combined-cycle plant (Table 3). However, the coal-fired plant has much lower fuel costs. When comparing these two technologies, an electricity producer weighs the lower initial costs and higher engineering efficiency of the natural gas-fired combined-cycle plant against the lower fuel costs of the coal-fired plant to determine which technology is most economical for its system. Both current and future costs are considered.
| Generating Technology | ||
|---|---|---|
| Characteristic | Pulverized Coal | Natural Gas-Fired Combined Cycle |
| Construction Costs (1994 $/kW) | 1,501 | 419 |
| Fixed O&Ma (1994 $/kW) | 52 | 26 |
| Variable O&Ma (1994 Mills/kWh) | 2.4 | 0.5 |
| Heat Rate, 1996 (Btu/Wh) | 9,961 | 7,300 |
| Heat Rate, 2005b (Btu/Wh) | 8,142 | 5,687 |
| Efficiency, 1996 (percent) | 34 | 47 |
| Efficiency, 2005b (percent) | 42 | 60 |
| 1995 | 2000 | 2005 | 2010 | 2015 | |
|---|---|---|---|---|---|
| Steam Coal | 1.32 | 1.26 | 1.28 | 1.26 | 1.28 |
| Natural Gas | 2.04 | 2.19 | 2.26 | 2.44 | 2.95 |
Source: Energy Information Administration, Annual Energy Outlook 1996,
DOE/EIA-0383(96), Table A3, pp. 78 and 79.
Year 2000 Levelized Costs for Coal-Fired and Natural Gas-Fired Combined-Cycle Plants at 60
Percent Capacity Factor
(1994 Mills per Kilowatthour)

Note: C = coal-fired; G = natural gas combined-cycle.
Source: Projection by Energy Information Administration, Office of Integrated Analysis
and Forecasting, using the National Energy Modeling System, run AEO96B.D101995c.
Utilization rates strongly affect the per-kilowatthour capital costs of generating power. In general, as a plant is used more intensively (i.e., as its capacity factor rises), its per-kilowatt-hour capital costs decline. A comparison (Figure 3) of the levelized costs at 60- and 100-percent capacity factors of coal-fired and natural gas-fired combined-cycle plants coming on line in 2000 in Florida reveals that levelized costs for both types of plants decline at the higher utilization rate. However, the coal plant's costs are affected much more dramatically, declining 28 percent when the utilization rate rises to 100 percent. The natural-gas plant's average levelized costs fall only 15 percent.
Year 2000 Levelized Costs for Electric Power Plants in Florida at 60-Percent and 100-Percent
Capacity Factors
(1994 Mills per Kilowatthour)
Note: GCC = natural-gas combined-cycle.
Year 2000 Levelized Costs for Electric Power Plants In Florida Under Three Price
Scenarios
Note: GCC = natural-gas combined-cycle.
Year 2010 Levelized Costs for Electric Power Plants in Florida at 60-Percent and 100-Percent
Capacity Factors
Note: GCC = natural-gas combined-cycle.
Source: Projection by Energy Information Administration, Office of Integrated Analysis
and Forecasting.
Like utilization rates, fuel-price variability affects the two technologies differently. We calculated
the levelized costs for Florida coal-fired and natural gas-fired combined-cycle plants coming on
line in 2000 and operating at a 60 percent capacity for three fuel-price cases (Figure 4). The first
case assumes AEO96 fuel prices, the second assumes fuel prices 20 percent lower than
those projected in AEO96, and the third case assumes prices 20 percent higher. (Similar
results would obtain if 20 percent higher and lower operating efficiencies, respectively, were
assumed.) The coal plant's total levelized costs vary by only 6 percent in response to the 20
percent swings in fuel prices, while the natural gas plant's costs vary by 13 percent. The gap
between the coal-fired and natural gas-fired plants' levelized costs narrows with higher fuel prices,
but the coal-fired plant remains 38 percent more expensive.
Figure 4.
(1984 Mills per Kilowatthour)
Source: Projection by Energy Information Administration, Office of Integrated Analysis
and Forecasting.
The cases discussed thus far show natural gas-fired combined-cycle plants as the more economical
choice. However, the AEO96 projects increases in natural gas prices of 11 percent
between 2000 and 2010, while coal prices increase only 1 percent *(c). The disparity in the fuel-price increases narrows the gap between
the total levelized costs in 2010 of a coal-fired plant and a natural gas-fired combined-cycle plant.
In fact, the gap disappears entirely in Florida (Region 8) at the 100-percent capacity factor
(Figure 5). Nationwide, the coal-fired plant coming on line in 2010 and operated at a 100-percent
capacity factor is slightly more economical in three of the 13 regions.
Figure 5.
(1994 Mills per Kilowatthour)
Source: Projection by Energy Information Administration, Office of Integrated Analysis
and Forecasting.
As confusing as that situation may be, however, reality is even more complex. Equipment buyers, as well as policy makers, need to consider a wide range of factors in addition to prices in making purchase decisions. Consideration of multiple factors necessarily adds to the complexity of decision-making, but--as this article has tried to illustrate--a careful study of the inevitable tradeoffs involved can improve the quality of the final decision.