Final Report
Prepared by: Marbek Resource Consultants
March 31, 2008
ecoENERGY for Renewable Heat provides incentives to the industrial, commercial and institutional sector to support the purchase and installation of solar water and air heating systems for their facilities. The amount of funding is 25% (40% in remote communities) of eligible costs associated with the system to a maximum of $80,000 per system, and $2 million per corporate entity for multiple installations. With the exception of the corporate maximum which was $250,000, the same approach and levels used for the previous program, the Renewable Energy Deployment Initiative (REDI), are being continued for the ecoENERGY for Renewable Heat program.
Natural Resources Canada (NRCan) has engaged Marbek Resource Consultants to assess the cost competitiveness of solar thermal technologies available in the market, evaluate the basis of payments and funding level of incentives under the program, suggest options to meet objectives as defined below in Section 1.2, and to consult with stakeholders prior to finalizing the review of the options.
The objectives of the study are to:
The work has included modelling of the cost-competitiveness of the various technologies for different applications, a review of the experience of other jurisdictions, and a compilation of the potential options for the basis and levels of incentives. The results of this analysis were presented to stakeholders in a Discussion Paper, which also provided the basis for consultation workshops.
Five different solar thermal technologies are considered (see box):
Solar Thermal Technologies Considered
Solar Air - Perforated Plate Collectors
Perforated plate collectors consist of metal cladding with small holes over the entire surface. In this configuration, outdoor air moves through the holes where it is heated behind the metal plate, and then sucked into the building as make-up air. This design is very efficient because the positive flow through the absorber reduces or virtually eliminates the solar heated air from being blown away by the wind. This technology can raise air temperatures by a few degrees even on cold or overcast days.
Solar Air - Back-Pass Collectors
Back-pass collectors also use a metal cladding, however instead of drawing in air through small perforations; air enters the bottom of the panel and is drawn up through the collector by fans. These collectors are less efficient than perforated plate collectors because they can lose much of the absorbed solar radiation to the wind.
Solar Water - Unglazed Collectors
Unglazed collectors are simple thermal transfer devices usually made of a black polymer/co-polymer, without any selective coating. They are usually laid on a roof or on a wooden support without a frame. They have a high energy conversion factor, but thermal losses increase rapidly with water temperature and wind.
Unglazed collectors are commonly used for applications requiring energy delivery at low temperatures (e.g. pool heating, make-up water in fish farms, process heating applications, etc.). They are operated on a seasonal base mainly because of the high thermal losses of the collector due to ambient temperature and wind.
Solar Water - Glazed Flat Plate Collectors
In flat plate collectors, the selective solar absorber is protected against heat loss by insulation material in the back and a flat pane of glass. Hardened, highly transparent solar glass specially designed for low reflection is used for the cover in high quality collectors. Aluminium, plastic or stainless steel materials are used for side frames, backing and casing.
Glazed collectors are commonly used for applications requiring energy delivery at moderate temperatures (domestic hot water, space heating and process heating applications at 50°C or less) in medium to cold climates. They can be operated year-round with freeze protection (e.g., glycol, drain-back design). The efficiency of glazed collectors is independent of wind.
Solar Water - Evacuated Tube Collectors
Evacuated tubes have a selective coating enclosed in a sealed, evacuated glass tubular envelope to reduce heat losses from convection and thermal conduction. Systems presently on the market use a sealed heat-pipe on each tube to extract heat from the absorber. A liquid is vaporised while in contact with the heated absorber, heat is recovered at the top of the tube while the vapour condenses, and condensate returns by gravity to the absorber. Evacuated tube collectors can achieve high temperatures and reduced heat losses compared to flat plate technologies. Typically they will produce a higher energy yield with the same effective absorber area.
Evacuated collectors are good for applications requiring energy delivery at moderate to high temperatures (e.g., domestic hot water, space heating and process heating applications typically at 60°C to 80°C depending on outside temperature) in cold climates. They can be operated year-round with freeze protection. The efficiency of evacuated collectors is independent of wind.
In addition to this Introduction, the report contains three sections:
The consultation plan for this work incorporated four elements:
Not counting NRCan and Marbek staff, a total of 45 people participated in the Workshops (including one person who attended in both Montreal and Toronto). In addition, 7 written submissions were received.
The breakdown by location was as follows:
Toronto - February 26, 2008
Vancouver - February 28, 2008
Montreal - March 7, 2008
Stakeholder comments on the analysis and the proposals for basis of payment and level of incentive are discussed in sections 3 and 4, respectively. More general comments are listed here:
Stakeholders also had comments and suggestions on various aspects of the analysis and the report. These have been taken into account in preparing this final report.
This section looks at options for the basis of payment. Section 4 will examine options for the level of incentives.
There are four main bases of payment options in use in jurisdictions around the world for the payment of incentives for solar thermal in industrial, commercial and institutional applications. These are:
There are also additional associated program design options:
In Canada, both Ontario and Saskatchewan currently offer incentives that match the 25% of costs provided by the federal government. Saskatchewan's incentive applies to solar water installations only. Nova Scotia recently introduced a 15% incentive.
The majority of jurisdictions pay incentives as a percentage of cost. In most cases, this approach tends to be associated with extensive requirements for performance and cost verification. In recent years, however, there has been a growing trend for payments to be based on area of collector or energy displaced. When payment is based on energy displaced, it is almost always a one time payment, paid on the basis of estimated energy production or metered results for one year (this increases the technical burden but helps to minimize the administrative burden and ensures that the incentive is available as early as possible to offset the installation costs).
The success of incentives in promoting increased sales has not been extensively evaluated. Where it has, it has tended to deal with the number or penetration of residential systems or the installed capacity of those systems. Furthermore there is no evidence that indicates that one type of approach is more successful than any other. Having said that, the European Solar Thermal Industry Federation (ESTIF) did conclude that incentives should reward energy yield as much as possible1. What has been noted is that the programs that work best are those whose designs (e.g. level and applicability) are well tailored to the market conditions of the specific technologies to which they are targeted. Other key factors are:
Together with the objectives identified in Section 1.2, these success factors suggest additional criteria for evaluating the options, some of which would apply to the selection of basis of payment and some of which would apply to the choice of level.
The criteria for evaluation of the options include the objectives outlined in the Introduction and the success factors discussed above. Those that apply to the selection of basis of payment are listed here. Other criteria apply mainly to the choice of level of incentive.
Based on the incentive options being used currently in jurisdictions around the world, five specific options are proposed for evaluation and discussion:
Table 3.1 summarizes the assessment. Options are rated as Very Good, Good, Neutral, Poor or Very Poor in relation to the criteria.
As shown, options 1, 4 and 5 rate poorly or very poorly in several areas. Although they have some advantages, they have too many disadvantages to be considered. Option 2 is better but it still provides a disincentive to improve system efficiency. Overall, Option 3 appears to offer the best compromise and no significant disadvantages.
Table 3.1
Assessment of Basis of Payment Options
| Options | Simplicity | Cost-Effectiveness | Efficiency | Administration |
|---|---|---|---|---|
| Option 1 - Status Quo. Based on a percentage of costs | Very Good. Easy to understand. | Poor. Can encourage higher costs. | Neutral. Provides no incentive to improve efficiency but does not discourage it. | Poor. Requires extensive effort to review submissions and validate costs. |
| Option 2 - Collector Area Installed Basis - Minimum Efficiency Standard | Good. Relatively easy to understand, however, incorporation of a minimum efficiency factor adds some complexity. | Neutral. Incentive neither encourages nor discourages higher costs. | Poor. Provides little incentive to improve efficiency beyond the minimum. Encourages larger systems even if not needed. | Good. Will only require verification of area and efficiency rating. |
| Option 3 - Collector Area Installed Basis - with Efficiency Factor | Good. Relatively easy to understand, however, incorporation of an efficiency factor adds some complexity. | Neutral. Incentive neither encourages nor discourages higher costs. | Good. Will encourage higher technology efficiency. | Good. Will only require verification of area and efficiency rating. |
| Option 4 - Estimated Solar Energy Produced. | Very Poor. Most complex, involving the use of models and a variety of assumptions | Neutral. Incentive neither encourages nor discourages higher costs. | Good. Will encourage higher technology efficiency. | Poor. Will require review of assumptions and modelling. |
| Option 5 - Metered Solar Energy Produced | Poor. Somewhat simpler than estimating but it will still involve the complexity of measurement and reconciliation of the advance. | Neutral. Incentive neither encourages nor discourages higher costs. | Very Good. Will encourage both technology and operational efficiency. | Very Poor. Will require system to review and validate reports and follow-up on initial payments. |
Stakeholders had views on the options as well as the calculation of a performance factor.
Views on the Options
Views on the Approach for Calculation of Performance Factor
NRCan presented its preliminary views on a methodology for calculating and using a performance factor. Stakeholder views included the following:
Marbek recommends that NRCan adopt Option 3 - payment on the basis of collector area with a performance factor. At the same time, work should proceed to refine the proposed approach for calculation of the performance factor, taking into account the concerns expressed by stakeholders. These factors should be released in draft form for review by stakeholders prior to being finalized.
NRCan should also proceed with its planned initiative to support standardized measurement of solar energy production.
This section looks at recent trends in use of the NRCan incentive and examines the cost-competitiveness of the different technologies in order to inform a review of the options for incentive level.
Figure 4.1 shows the trends over the past nine years. The bars (left-hand scale) show the growth in the number of projects and the lines (right-hand scale) show the average value of the grant2. Although there are some discontinuities, the Figure generally shows a steady increase in both the number of projects and the size of the grants3. As shown, solar-air grants tend to be twice as numerous as solar-water grants and they are approximately 50% larger in cost. NRCan data also indicates that for solar air, a majority of grants deal with farm applications, replacing propane, and all of them are perforated plate applications (i.e. to date no grants have been provided for back-pass applications). Applications replacing natural gas in warehouses, and other similar buildings are also common. In the case of solar water, there are a number of applications, typically replacing natural gas.
If nothing is changed, the fear is that the increasing numbers and size of projects will consume all of the available funding before the scheduled end of the program.
Figure 4.1
Trends in Numbers of Projects and Grants
The first task in assessing options for the level of the incentive is to assess how cost-competitive the various technologies are in comparison to alternative energy sources in the absence of an incentive.
Approach
The five technologies were considered in the context of the applications listed in Table 4.1.
Table 4.1
Solar Technology Applications
| Application | Solar Air Perforated Plate | Solar Air Backpass | Solar Water Unglazed | Solar Water Flat Plate | Solar Water ETC |
|---|---|---|---|---|---|
| Dairy Farms | ![]() |
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| Hotels | ![]() |
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| Health and Extended Care Facilities | ![]() |
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| Laundromats | ![]() |
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| Outdoor Pools | ![]() |
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| Multiple-Unit Residential Buildings (MURBs) | ![]() |
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| Recreation Facilities | ![]() |
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| Manufacturing Facilities | ![]() |
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| Schools | ![]() |
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| Warehouses | ![]() |
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| Farms | ![]() |
Energy saved was modelled using the RETScreen® decision support software and, along with the costs, was used to calculate a cost per kWh for comparison with other energy sources5. In each case, a typical project was defined (informed by the database of previous projects and information on the energy characteristics of buildings) and representative climactic conditions were applied. In addition, sensitivity analysis was conducted for a range of cost assumptions, climactic conditions, orientation, and prices for alternative fuels. The approach for calculating cost-competitiveness is described in Appendix A.
Results
Figure 4.2 shows the cost of energy delivered for solar air technologies in selected applications in comparison with natural gas, electricity, propane and oil. Figure 4.3 does the same for solar water technologies. For comparison purposes, the costs of the competing energy sources incorporate a penalty for the inefficiency of conversion to useful heat (see Appendix A). These figures illustrate the cost-competitiveness of technologies in selected applications under "typical" conditions as defined in Appendix A. They use typical costs and performance levels for each type technology. Some technologies may fare better and others may do worse.
Figure 4.2
Cost-Competitiveness of Solar Air Technologies
Figure 4.3
Cost-Competitiveness of Solar Water Technologies
As seen in Figure 4.2, most solar air applications using perforated plates appear cost competitive relative to conventional/other sources of energy (the exception are farms that have access to natural gas - though, as noted previously, most farm applications to date have involved propane). Backpass systems appear less cost-competitive, particularly in the case of MURBs6.
Unfortunately investment decisions are not always based on an analysis of the lifetime cost savings, but sometimes on shorter term payback considerations. In this respect, the typical payback periods for solar air perforated plate applications where electricity is the alternative is about 6 years (4.5 years for manufacturing). Where natural gas is the alternative, the payback period is 8-10 years. In farm applications where propane is the alternative, the payback is about 8 years. This contrasts with typical payback expectations that range from 2-3 years (in the case of business) to 4-5 years (for institutions), and 6+ years (for farms)7.
In contrast, Figure 4.3 indicates that it is a challenge for solar water to compete with alternative energy sources in most applications, at current low prices for these alternatives. The exception is unglazed applications in pools, in comparison to electricity, propane or oil.
Sensitivity Analysis
The situation for solar water applications obviously improves if higher alternative fuel rates or lower technology costs are assumed. In the case of electricity, propane and oil, competing prices would need to be 50% higher or technology costs would need to be 50% lower for solar water applications to be cost competitive. In locations with higher solar radiation and colder climate (e.g. Regina), the cost would improve by about 25% but this would not be sufficient to make the applications cost-competitive (conversely, in locations with lower solar radiation and milder climate, the cost-competitiveness would be even worse than indicated in the Figures). Technology lifespan has only a small effect on cost-competitiveness.
A combination of favourable solar and climactic conditions and significantly reduced technology costs could make applications cost-competitive, even in comparison with natural gas. If the cost of the alternative fuels were to rise, the situation would improve further.
In the case of solar air, most applications are cost-competitive under typical conditions; however, the payback periods are not necessarily in line with decision-maker expectations. Payback periods would improve if higher alternative fuel rates were used (e.g. in comparison with 50% higher electricity costs, the payback would be reduced from 5-6 years to 3-4 years).
Findings and Implications
The key findings of this analysis are:
The implications are:
Section 3 examined options for the basis of payment. This section considers options for the level of the incentive based on the results of the cost-competitiveness analysis. The first step is to list and define assessment criteria. The second step is to identify and define the options and range of incentive levels. Finally, the third step is to use the criteria, along with the assessment of cost-competitiveness above, to identify the most promising options.
4.3.1 Evaluation Criteria
Once again, the criteria for evaluation of the options include the objectives outlined in the Introduction and the best practices discussed above. Those that apply to the selection of level of incentive are listed here.
The options will be assessed against the following criteria:
4.3.2 Identification of the Options
The options for level of incentive actually involve two sets of choices: (1) deciding whether to vary the level of incentive in certain cases; and (2) deciding what the level should be in each case.
Options for Varying the Incentive
The first series of options concern the potential to vary the level of incentive according to circumstances, such as:
Choice of Level
The second set of choices concerns the level of incentive for each applicable circumstance. A useful reference point for the discussion of options for level of incentive is the current basis of payment, i.e. percentage of cost. It is proposed that the range of potential incentives be considered on this basis and that the appropriate level then be translated into the new basis of payment. In determining the level, it is important to note the program policy is that overall government incentives will not exceed 50% of the costs, and recognize the interests of both the federal and provincial governments in supporting the industry10. Thus the maximum level of federal support will continue to be 25% of costs (except in remote communities). Furthermore, the maximum incentive amount of $80,000 (outlined in approved program conditions from Treasury Board) will also remain. Thus the options for level of incentive will range from zero to 25%.
4.3.3 Assessment of Options for Varying the Incentive
As noted above, there are four potential ways in which the incentive could be varied. Table 4.2 summarizes the assessment of each of the options (which are not mutually exclusive). For this part, the applicable criteria are: fairness and equity, ability to target support and minimize free ridership, simplicity and administration. Options to vary are rated as Very Good, Good, Neutral, Poor or Very Poor in relation to the criteria.
Variation by Type
As seen in Figures 4.2-4.3, there is a significant difference between the cost-competitiveness of solar air applications and solar water applications, implying very different needs. This suggests that the level of incentive should be different to avoid free ridership and to provide needed support to the extent possible.
Variation by Technology
In the case of solar water, as seen in Figure 4.3, the cost competitiveness of the technologies is comparable (except for unglazed technology used in pools) and thus, the same level of support should be able to address needs. In the case of solar air, as seen in Figures 4.2, the same level of support could end up being insufficient for back-pass systems or, if too high, would result in free ridership from perforated plate systems. Nevertheless, the interests of simplicity, fairness and equity, suggest that the same level of support should be provided to all competing technologies in similar applications.
Variation by Application
In the case of solar air, there are some variations in cost-competitiveness, notably for manufacturing applications and for farms. Although manufacturing appears more cost-competitive, the payback period usually demanded by corporate decision-makers is also higher and therefore the effective difference is not significant. In the case of farms, there is a case to be made for a different level, but as noted previously most farm applications involve propane as the alternative, and therefore these applications are already more cost-competitive. In the case of solar water, the only significant variation is for pools, but that difference is significant both in terms of the nature of the applications and its cost-competitiveness. Balancing simplicity with providing the appropriate level of support and avoiding free ridership, suggests an exception for pools only.
Table 4.2
Assessment of Options for Varying the Level of Incentive
| Option to vary by … | Fairness and Equity | Ability to Target Support and Minimize Free Riders |
Simplicity | Administration | Overall Assessment |
|---|---|---|---|---|---|
| Type | Neutral. Solar air and Solar water are different markets. | Very Good. Cost- Competitiveness is very different. |
Poor. Would be a minor addition in complexity. | Neutral. There is no effect on administration effort. | Yes. Given the major differences in cost- competitiveness, the ability to target support and minimize free riders overrides other factors. |
| Technology | Very Poor. Providing different support to technologies in the same market would be unfair. | Good for solar air. As cost- competitiveness of the technologies is very different. Neutral for solar water as cost- competitiveness is comparable. |
Poor. Would be a minor addition in complexity. | Poor. There is a minor increase in administrative effort required to process different levels. | No. The interests of fairness, simplicity and administration override the benefit of targeting support. |
| Application | Neutral. All technologies would be able to benefit. | Good in most cases.The differences are generally minor. Very Good for outdoor pools as there is a significant difference in this case. | Poor. Would be a minor addition in complexity. | Poor. There is a minor increase in administrative effort required to process different levels. | Yes for pools only. The interests of simplicity and administration outweigh the minor advantage in targeting support except in the case of pools, where the difference is so significant. |
| Fuel | Neutral. All technologies would be able to benefit. | Good. This would allow incentives to be more accurately targeted to situations where the support is needed. | Very Poor. Would be a major addition in complexity, as fuel prices would vary by location and over time. | Very Poor. Administrative burden of proving and verifying that a cheaper fuel (e.g. natural gas) is available would be substantial | No. The interests of avoiding a complex and burdensome system outweigh the benefits. |
Variation by Fuel Alternative
As seen in all the Figures, the costs of the competing energy sources vary considerably and thus the cost-competitiveness of the solar systems depends on which fuel is available. Providing the required support and avoiding free ridership would suggest that variation by fuel would be appropriate. On the other hand, the administrative burden of proving and verifying that a cheaper fuel (e.g. natural gas) is available would be substantial. Furthermore, the prices and thus the relative cost-competitiveness of the various alternative fuels could change (sometimes rapidly) and this could mean that the incentives would have to be adjusted. Overall, the concerns of simplicity and administration suggest that the incentive should not vary by fuel.
4.3.4 Choice of Level
As noted above, the choice should be expressed in term of a percentage of costs and needs to be in the range of zero to 25%. This level then needs to be converted into the chosen basis of payment. The previous sub-section identified three different circumstances, each of which could have a different level of incentive.
Solar Air
As shown in Figure 4.2, the current 25% of cost incentive appears to be leading to free ridership (i.e. the Figures suggest that most applications are already cost effective and therefore perhaps no incentive is needed). On the other hand, the desire to continue to communicate a government "seal of approval" suggests that some level of incentive should be preserved. More importantly, payback periods without incentives are not particularly attractive. As noted earlier, the typical payback in cases where electricity is the alternative is about 6 years, whereas 4 years would be the maximum for many organizations11. Thus an incentive covering approximately 1/3 of costs (e.g. 33%) would be helpful12.
Although the analysis provides some guidance, deciding what level is appropriate remains a judgment call. Assuming that half of that incentive came from the federal government, an incentive of approximately 15% of costs would be warranted. Or, looking at it another way, assuming that decision-makers give equal weight to the lifecycle cost and the payback analysis, the needed incentive is halfway between zero and 33%, or approximately 15%. 15% could also be justified on the basis that there are many projects whose payback periods will be more attractive than the average and that those projects should be developed first.
Using basis of payment Option 3 and typical costs, 15% would translate to an average of $60/m2. The actual payments would depend on performance factors and would be expected to range between $50/m2 and $70/m2 13.
Solar Water (except pools)
As shown in Figure 4.3, the support needed to make solar water applications cost-effective is substantial. As noted earlier, the equivalent of a 50% reduction in costs would be needed to make these applications cost-effective in comparison with electricity, propane and oil. Even then, they would not be cost-effective in comparison with natural gas. Based on this analysis, the maximum available federal incentive of the equivalent of 25% of cost should be continued. Combined with an equivalent provincial incentive, this should allow many applications (particularly in advantageous conditions) to proceed. Furthermore, as technology costs are reduced and efficiencies are improved over time, more and more applications should become cost-effective.
Using basis of payment Option 3 and typical costs, 25% would translate to an average of $300/m2. The actual payments would depend on collector performance factors and would be expected to range between $200/m2 and $400/m2.
Pools
As shown in Figure 4.3, pool applications of unglazed systems are already cost-effective in comparison with fuels other than natural gas. Figure 4.3 also shows that a reduction in costs of approximately 30% would be sufficient to make unglazed systems cost-effective in comparison with natural gas. This amount would also help reduce the payback to levels that would be acceptable to public institutions. Assuming matching grants from provincial governments, the federal incentive could be set at the equivalent of 15% of costs.
Using basis of payment Option 3 and typical costs, 15% would translate to an average of $30/m2. The actual payments would depend on performance factors.
Stakeholders had comments on the cost-competitiveness analysis, on the options for varying the incentive, as well as the levels of incentive.
Views on the Cost-Competitiveness Analysis
Views on the Options for Varying the Incentive
Views on the Proposed Level for Solar Air
Views on the Proposed Level for Solar Water
Views on the Proposed Level for Unglazed Collectors in Outdoor Pool Applications
Solar Air
Marbek recommends that the level of incentive for solar air technology applications be set at the equivalent of 15% of costs for the remainder of the program but that six months notice be provided. This recommendation takes into account the views of stakeholders but is based on the following observations:
Solar Water
Marbek recommends that the incentive be set at the equivalent of 25% of costs for all solar water technology applications, including unglazed collectors in outdoor pools. This recommendation takes into account the views of stakeholders and the following observations:
Maximum Grant
Marbek recommends that the maximum grant not be reduced from the current level of $80,000 for most applications. Although a reduction could provide more funds and allow more installations to be supported, it would hamper the development of medium-sized projects that are likely to be important in the development and sustainability of the industry. Furthermore, since this idea was only raised at one workshop, it would require more consultation with stakeholders in order to assess the implications.
For each technology, a number of typical applications were identified and a representative archetype was adopted. An archetype is a set of parameters that represent a typical building in each application. The applications were chosen based on the experience with of ecoEnergy for Renewable Heat and REDI projects, and in discussions with NRCan and technology proponents. The parameters that define each archetype were based on Marbek's in-house database (assembled over the years from surveys of typical applications) and the database of successful submissions to REDI. The assumptions are outlined in Exhibits A.2 and A.3.
Energy calculations were done using the RETScreen® decision support software. 14The main calculations were completed using typical climate data (based on Toronto), a southern exposure and a product life of 20 years. Sensitivity analysis was conducted for a more ideal climate situation (Regina) and a less ideal situation (Vancouver); for a 15 and 25 year life; and for other orientations.
Cost-competitiveness was assessed using Levelized Unit Energy Cost (LUEC), which is defined as the discounted capital and operating costs per unit of discounted energy over the lifetime of the project. A real discount rate of 8% was used.
Prices for the alternative energy sources were assumed to remain constant over the period15; however sensitivity analysis was completed for higher and lower figures in the case of electricity and natural gas. Energy prices were obtained from Ontario utilities and suppliers and include all charges (e.g. commodity, delivery, debt retirement, etc.). The assumptions are shown in Exhibit A.1. For comparison with solar energy produced, penalties were assigned for inefficient conversion to useful heat, as follows:
Exhibit A.1
Alternative Fuel Cost Assumptions and Sensitivity Analysis
| Fuel | Average | Low | High | |||
|---|---|---|---|---|---|---|
| Fuel Cost | $/kWh | Fuel Cost | $/kWh | Fuel Cost | $/kWh | |
| Electricity | $0.11/kWh | $0.055/kWh | $0.165/kWh | |||
| Natural Gas16 | $0.50/m3 | $0.048/kWh | $0.35/m3 | $0.034/kWh | $0.65/m3 | $0.063/kWh |
| Oil17 | $1.006/L | $0.094/kWh | N/A | N/A | N/A | N/A |
| Propane18 | $0.65/L | $0.092/kWh | N/A | N/A | N/A | N/A |
Exhibit A.2: Solar Air Assumptions
| Solar Air | MURBs | Warehouse | Rec. complex |
Schools | Manufac- turing |
Farms |
|---|---|---|---|---|---|---|
| Air Flow (CFM) |
2,790 | 1,400 | 2,000 | 32,000 | 2,000 | 5,000 |
| O.A Require- ments |
20 CFM/ person 430 ft2/person 60 000 ft2 |
40 CFM/ person 1 000 ft2/person 35 000 ft2 |
20 CFM/ person 100 ft2/person 20 000 ft2 |
32 CFM/ person 100 ft2/person 100 000 ft2 |
20 CFM/ person 1 000 ft2/person 100 000 ft2 |
Chicken farm @ 5L/s/m2, 1000 m2 |
| Indoor Tempera- ture (°C) |
21 | 21 | 21 | 21 | 21 | 24,5 |
| Max. air Tempera- ture (°C) |
35 | 35 | 35 | 35 | 35 | 29,4 |
| Wall R-value (m2 - °c/W) |
1,6 | 2,1 | 2,1 | 2,1 | 1,6 | 2,1 |
| Operating days per week |
5 | 5 | 5 | 5 | 5 | 5 |
| hours/day - week |
24 | 24 | 24 | 24 | 24 | 24 |
| Operating days per weekend |
2 | 2 | 2 | 2 | 2 | 2 |
| hours/day - weekend |
24 | 24 | 24 | 24 | 24 | 24 |
| Monthly operating schedule (%) |
||||||
| January | 100 | 100 | 100 | 100 | 100 | 100 |
| February | 100 | 100 | 100 | 100 | 100 | 100 |
| March | 100 | 100 | 100 | 100 | 100 | 100 |
| April | 100 | 100 | 100 | 100 | 100 | 100 |
| May | 100 | 100 | 100 | 100 | 100 | 100 |
| June | 0 | 0 | 0 | 0 | 0 | 0 |
| July | 0 | 0 | 0 | 0 | 0 | 0 |
| August | 0 | 0 | 0 | 0 | 0 | 0 |
| September | 100 | 100 | 100 | 100 | 100 | 100 |
| November | 100 | 100 | 100 | 100 | 100 | 100 |
| December | 100 | 100 | 100 | 100 | 100 | 100 |
| Base case heating system | ||||||
| Natural gas |
Boiler | Boiler | Boiler | Boiler | Boiler | Burner |
| Oil | Boiler | Boiler | Boiler | Boiler | Boiler | Burner |
| Propane | N/A | N/A | N/A | N/A | N/A | Burner |
| Electricity | Resistance | Resistance | Resistance | Resistance | Resistance | Resistance |
| Annual Efficiency (%) |
||||||
| Natural gas | 80 | 80 | 80 | 80 | 80 | 80 |
| Oil | 80 | 80 | 80 | 80 | 80 | 80 |
| Propane | N/A | N/A | N/A | N/A | N/A | N/A |
| Electricity | 100 | 100 | 100 | 100 | 100 | 100 |
| Fuel Cost | ||||||
| Natural gas ($/m3) |
0.5 | 0.5 | 0.5 | 0.5 | 0.5 | 0.5 |
| Oil ($/L) | 1.006 | 1.006 | 1.006 | 1.006 | 1.006 | 1.006 |
| Propane ($/L) |
0.65 | 0.65 | 0.65 | 0.65 | 0.65 | 0.65 |
| Electricity ($/kWh) |
0.11 | 0.11 | 0.11 | 0.11 | 0.11 | 0.11 |
In the case of solar air, a black collector with an absorptivity of 94% was assumed; the efficiency is calculated by RETScreen and takes several factors into account including wind and other design parameters. In the case of backpass collectors, a 49% efficiency was assumed
Note: there is some debate regarding the accuracy of the modeling approach to estimate the performance of ETC, however, for our purposes RETScreen has been used with the above coefficients. NRCan will need to consider the validity of alternative approaches and estimates.
Exhibit A.3: Solar Water Assumptions
| Solar Water | MURBs | Hotels | Health/EC | Dairy Farms |
Laundro- mat |
Rec. complex |
Outdoor pool* |
|---|---|---|---|---|---|---|---|
| Water Usage (L/unit/day) |
153 | 68 | 177 | 7,75 | 156 | 56,8 | N/A |
| Tempera- ture (°C) |
55 | 55 | 55 | 55 | 55 | 55 | 27 |
| # of units | |||||||
| Occupancy rate (%) |
90 | 75 | 100 | 100 | 50 | 75 | N/A |
| Operating days per week |
7 | 7 | 7 | 7 | 7 | 7 | 7 |
| Monthly operating schedule (%) |
|||||||
| January | 100 | 100 | 100 | 100 | 100 | 100 | 0 |
| February | 100 | 100 | 100 | 100 | 100 | 100 | 0 |
| March | 100 | 100 | 100 | 100 | 100 | 100 | 0 |
| April | 100 | 100 | 100 | 100 | 100 | 100 | 0 |
| May | 100 | 100 | 100 | 100 | 100 | 100 | 50 |
| June | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| July | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| August | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| September | 100 | 100 | 100 | 100 | 100 | 100 | 50 |
| October | 100 | 100 | 100 | 100 | 100 | 100 | 0 |
| November | 100 | 100 | 100 | 100 | 100 | 100 | 0 |
| December | 100 | 100 | 100 | 100 | 100 | 100 | 0 |
| Base case heating system |
|||||||
| Natural gas | Bolier | Bolier | Bolier | Tank | Bolier | Bolier | Bolier |
| Oil | Bolier | Bolier | Bolier | Bolier | Bolier | Bolier | Bolier |
| Propane | N/A | N/A | N/A | Tank | N/A | N/A | N/A |
| Electricity | Resistance | Resistance | Resistance | Resistance | Resistance | Resistance | Resistance |
| Annual Efficiency (%) |
|||||||
| Natural gas |
75 | 75 | 75 | 75 | 75 | 75 | 75 |
| Oil | 70 | 70 | 70 | 70 | 70 | 70 | 70 |
| Propane | N/A | N/A | N/A | 75 | N/A | N/A | 75 |
| Electricity | 91 | 91 | 91 | 91 | 91 | 91 | 91 |
| Fuel cost | |||||||
| Natural gas ($/m3) |
0.5 | 0.5 | 0.5 | 0.5 | 0.5 | 0.5 | 0.5 |
| Oil ($/L) | 1.006 | 1.006 | 1.006 | 1.006 | 1.006 | 1.006 | 1.006 |
| Propane ($/L) |
0.65 | 0.65 | 0.65 | 0.65 | 0.65 | 0.65 | 0.65 |
| Electricity ($/kWh) |
0.11 | 0.11 | 0.11 | 0.11 | 0.11 | 0.11 | 0.11 |
*Additional assumptions for pools:
| Pool size (m2) | 180 |
|---|---|
| Cover use (h/j) | 16 |
| Makeup water (%) | 5 |
| Wind sheltering (%) | 20 |
| Solar shading (%) | 20 |
The following solar water collector performance coefficients were assumed:
| Solar Water unglazed |
Solar Water glazed - flat plate |
Soalr Water - glazed vacuum tube |
||
|---|---|---|---|---|
| Type | Unglazed | Glazed | Glazed | |
| Gross area per solar collector | m2 | 4.44 | 2.98 | 2.97 |
| Aperture area per solar collector | m2 | 2.78 | 2.38 | |
| Fr (tau alpha) coefficient | 0.84 | 0.70 | 0.52 | |
| Wind correction for Fr (tau alpha) | s/m | 0.00 | ||
| Fr UL coefficient | (W/m2)/°C | 18.47 | 4.93 | 1.20 |
| Wind correction for Fr UL | (J/m3)/°C | 0.00 | ||
| Temperature coefficient for Fr UL | (W/m2)/°C2 | 0.00 |
Technology costs (see Exhibit A.4) were determined in part from the REDI database and modified by Marbek according to discussions with NRCan and technology suppliers and using judgement. They include the total installed and delivered cost of typical systems. The high and low pricing accounts for the range of possible costs according to several factors including geographical differences, economies of scale, and complexity differences. Note that the costs for ETC and glazed flat plate collectors are based on gross collector area. Also, for all solar water heating technologies, operation and maintenance costs are assumed to be 10% of the initial installed cost over the life of the system, or 0.5% per year.
Exhibit A.4
Technology Cost Assumptions and Sensitivity Analysis
| Technology | Application | Average | Low | High |
|---|---|---|---|---|
| Solar Water | ||||
| Flat Plate/ETC | All | $1100/m2 | $550/m2 | $1650/m2 |
| Unglazed | All | $200/m2 | $150/m2 | $250/m2 |
| Solar Air | ||||
| Perforated | MURB | $500/m2 | $400/m2 | $600/m2 |
| School | $400/m2 | $300/m2 | $500/m2 | |
| Warehouse | $400/m2 | $300/m2 | $500/m2 | |
| Rec Complex | $400/m2 | $300/m2 | $500/m2 | |
| Manufacturing | $300/m2 | $240/m2 | $360/m2 | |
| Farm | $500/m2 | $400/m2 | $600/m2 | |
| Backpass | MURB | $550/m2 | $350/m2 | $750/m2 |
| Manufacturing | $550/m2 | $350/m2 | $750/m2 | |
For all technologies, except for unglazed solar water collectors, year-round operation was assumed. For unglazed collectors, a seasonal profile was developed. For glazed and ETC solar water technologies, the size of the collector bank was determined using RETScreen based on the assumed hot water load. This typically resulted in a 40-60% solar fraction.
1These and the following observations are drawn in part from (1) Renewables for Heating and Cooling - Untapped Potential, 2007. International Energy Agency and (2) Financial Incentives for Solar Thermal: Guidelines on Best Practice and Avoidable Problems, August 23, 2006. European Solar Thermal Industry Federation.
2Source: NRCan. To date, very few projects have exceeded $320,000 in cost, and so the maximum grant value has not been a significant factor. This means that the trends in grants also reflect the trends in total project costs.
3The reduction in projects that occurred in 2004-05 was due to a suspension in the program.
4Note: the analysis of manufacturing facilities does not include the benefit of de-stratification.
5RETScreen International. www.retscreen.net. Average costs are actually Levelized Unit Energy Costs (LUEC). See Appendix A for details.
6Results are based on cost and efficiency data provided by the industry. The assumptions underlying this data should be reviewed.
7Expected payback periods are based on Marbek's experience in the context of energy efficiency investments (in the case of business and institutions) and on the advice of the industry (in the case of farms).
8It should be noted that, in addition to the grants provided by the ecoEnergy for Renewable Heat Program, the government also helps improve the competitiveness of solar technologies through tax policy (accelerated CCA, Class 43.2).
9In the context of this study, free ridership refers to the phenomenon of people who access the incentive for investments they would have made anyway. Partial free ridership refers to those who would have made the investment with a lower incentive.
10As noted previously, Ontario and Saskatchewan currently match the federal incentive of 25% of costs. Nova Scotia has an incentive of 15% of costs.
11The figure of 4 years is the maximum acceptable to most corporate decision-makers. Marbek has extensively surveyed this question in the context of both energy efficiency and renewable energy investments.
12The implication of the payback analysis is that there are probably few true free riders but that that many projects are likely to be partial free riders (i.e. the incentive is larger than it needs to be).
13NRCan - CETC provided estimates of anticipated ranges of performance levels.
14RETScreen International. www.retscreen.net.
15Although many observers expect fuel prices to continue rising, most official forecasts and scenarios involve stable or lower prices (except for electricity). In the absence of a consensus, we have chosen to assume stable prices. This assumption has the advantages of simplicity and transparency, and will make it easier to visualize the directional effect of any future price changes on the cost-competitiveness findings of this study.
16Calculated assuming 37.2 MJ/m3 energy content.
17Calculated assuming 38.7 MJ/L energy content.
18Calculated assuming 25.3 MJ/L energy content.