Economic Evaluation of Domestic Grid-Connected Photovoltaic Systems Kame Khouzam and Ronelle Tibaldi Queensland University of Technology Research Concentration in Electrical Energy School of Electrical and Electronic Systems Engineering 2 George St., Brisbane, Queensland 4000, Australia Tel. 61-7-3864-2483, Fax. 61-7-3864-1516 E-mail. k.khouzam@qut.edu.au Abstract Electric utilities throughout Australia are required to offer tariff incentives and technical guidelines for interconnection of renewable energy sources to the grid. Under current conditions, it is technically feasible to introduce small-scale roof-top grid-connected photovoltaic systems with and without battery storage. Economic analysis have shown that the electricity tariff structure for PV and other renewables needed a major change to allow a reasonable and acceptable pay-back period if PV is to become an attractive investment to home owners. The introduction of net metering as an incentive in addition to a reduction in initial system cost will make the investment more viable. 1 INTRODUCTION Grid-connected PV systems offer several advantages over stand-alone systems including savings on wiring costs due to the capability to use existing wiring in the building, the removal of the need for storage batteries as the grid provides a backup and the possibility of selling surplus electricity. Using a battery may also improve the reliability to the system owner in case of a power failure. In Australia, individual utilities impose their own regulations on the specifications required for grid interconnection. A national set of guidelines is also being developed under the auspices of the Electricity Supply Association of Australia (ESAA, 1997) and is available via their web site. The metering and tariff structures for energy transfer are set by the utilities. It is noted, that public awareness of the possibility of residential generation systems is quite low, due to the intrinsic perception that these systems are costly and also due, to some extent, to a lack of encouragement by way of advertising and incentives. From the utilities perspective, there are additional costs, inconveniences and administration involved which can be seen to outweigh any small financial benefit from buying power at a low price. Furthermore, a marginal loss of system control may be suffered with each additional embedded generator (Shah, 1994). The benefits of grid-connected schemes may be seen as expressing concern for the environment, energy credit associated with reductions in fuel consumption and an opportunity to participate in an emerging technology (Martel and Usher, 1994). The importance of these benefits should not be discounted, as new methods (Farmer et al, 1994), in measuring the value of distributed PV generation concluded that there is evidence to prove that non-traditional benefits are measurable and significant. An update of current resource planning practices is required if distributed resources are to receive the proper credit. From an investor viewpoint economic attractiveness is a prime requisite for the adoption of a PV system. A number of studies were conducted to assess the economic feasibility of renewable energy sources (Hoff et al Economic Evaluation of Domestic Grid-Connected PV Systems K.Khouzam and R.Tibaldi 1991, Davies et al 1994, and Machias et al 1992). Machias and Skikos (1992) used net present value, internal rate of return and payback period as models in their fast economic assessment using fuzzy set theory. Davies and Cabraal (1994) used net present value analysis as a figure of merit in the least costs analysis of renewable energy projects. Hacker et. al (1993) found that tariff structures may include fixed periodic charges, for administration and rental of the meters, and these recurring charges are likely to be significant compared to the cost saving arising from PV generation. The economic analysis performed is based on the net present value and the payback period as these figures of merit are most required when making an investment decision. These parameters are recommended by the OECD (1991) for the economic analysis of renewable energy technologies. The results are based on the tariffs set by the Southern Electricity Retail Corporation (trading under SEQEB). A net metering tariff is also being investigated in this paper. 2 TARIFF STRUCTURE FOR RENEWABLES Table 1 gives the tariffs that exist for the purchase and sale of electricity to and from SEQEB. The SEQEB Electricity Purchase Agreement sets out the parameters of small-scale renewable energy systems as stated in Table 2. The rated parameters may be altered by prior agreement. Table 1. Electricity tariffs for domestic consumers in south-east Queensland. Type and code Daily availability Monthly charges Tariff 11: Purchase of Domestic light Continuous 15.14 cents/kWh for first 100 and power kWh, Tariff 31: Purchase of Super Economy Night Rate Tariff 33: Purchase of Controlled Supply 10 pm - 7 am At least 18 hours Sale of energy, Peak / Off-Peak Rate Peak period: 7 am - 9 pm Monday - Friday Sale of energy, Flat Rate Continuous (7 days) 10.29 cents/kWh for next 300 kWh, 9.18 cents/kWh for remainder; $6.80 minimum payment 4.25 cents/kWh; $4.25 minimum payment 6.22 cents/kWh; $2.80 minimum payment 9.3 cents/kWh, other times 3.3 cents/kWh (off peak) 5.8 cents/kWh Table 2. Export energy requirements for small scale renewable sources (SEQEB 1997). Maximum Rated Capacity of renewable source 1.4 kW-peak Minimum Availability of source 0% Maximum export energy per day 10 kWh Maximum voltage variation 240 ± 6% 3 COST PARAMETERS PV system sizes ranging from 0.5 to 10 kWac PV-inverter output were investigated for each of which the cost was calculated using the parameters in Table 3. Not included in the cost analysis are the possible costs for the calculation of fault level at the feeder which may be required by SEQEB, or the costs of any other investigations SEQEB may have to undertake on behalf of the installation and must be paid by the owner. 2 Proceedings of Solar ’97 - Australian and New Zealand Solar Energy Society Paper 132 Economic Evaluation of Domestic Grid-Connected PV Systems K.Khouzam and R.Tibaldi Table 3. Cost data for PV and battery system. Item Cost PV Modules, BOS & installation $6.50 per Watt Inverter: rating > 2 kW $1 per Watt rating < 2 kW $2000 Battery & installation $70 per kWh Meter (buy/sell tariff) $350 Meter (net tariff) $50 Annual O&M Costs $0.10 per Watt Discount rate or loan interest rate 0.1 Energy price inflation rate 0.05 O&M costs inflation rate 0.04 4 SIMULATION RESULTS Figure 1 shows a typical average residential load connected to SEQEB. The data are extrapolated from the 1993 Domestic Electricity End-Use Study. This does not include energy used during off-peak (Tariffs 31 or 33). The curve has a cumulative daily load close to 12 kWh. Results are obtained for each of the following system scenarios: 1. (a) A grid connected PV system with buy / sell metering (selling at Peak/Off-Peak rates); and (b) Same system as in (a) but using the Flat Rate selling tariff (5.8 cents/kWh). 2. A grid connected PV system with net metering, whereby the net energy is calculated and charged at the same general purchasing tariffs. (This structure is common in many US states). 3. A grid interactive battery system. A 3 kWh battery is charged under Tariff 31 (lowest rate) in off peak times and the stored energy is used to supply local load and sell excess energy to the gird in peak times. The resulting costs in this system are calculated using the separate buy/sell tariffs. This system does not employ a PV array. 4. 4.1 A combined PV and battery charging system which uses the buy / sell tariffs. Scenarios 1 and 2: A PV System on Different Tariffs Figure 1 shows the residential load and the output of a 1.5 kWac PV system. The results of the daily energy flows are given in Table 4 for different system size. Proceedings of Solar ’97 - Australian and New Zealand Solar Energy Society Paper 132 3 Economic Evaluation of Domestic Grid-Connected PV Systems K.Khouzam and R.Tibaldi Figure 1. A typical average household load and a 1.5 kWac PV system. Table 4. Energy flow (kWh) for PV system and load. PV Size (kW) Import Export Total PV PV Ü Load 0.5 8.411 0.325 3.82 3.495 1 7.42 3.157 7.642 4.485 1.5 6.94 6.489 11.46 4.971 2 6.686 10.054 15.274 5.22 4 6.476 25.116 30.548 5.432 6 6.361 40.276 45.822 5.546 8 6.324 55.517 61.096 5.579 10 6.292 70.752 76.37 5.618 The results for the monthly (30 days) cost of electricity for each system, with and without PV under the buy/sell tariff, the continuous tariff and the net metering schemes are listed in Table 5. The results show that the option of a continuous flat tariff of 5.8 cents/kWh is of less economic value compared to the peak/off peak tariff. Note that the values in Table 5 that are in bold text, will be affected by the minimum monthly fee. It is shown that the maximum size of the PV system in each tariff system (columns 3, 4 and 5) before being penalised by the minimum monthly fee are 1.75 kW, 2.05 kW and 1.35 kW. The lowest corresponds to using net metering scheme. Table 5. Monthly electricity charges for different tariff system. PV System Size No PV PV on Buy / Sell PV on Flat Rate (kW) Tariff Sell Tariff 0.5 $41.56 $30.02 $30.20 1 $41.56 $20.41 $22.21 1.5 $41.56 $11.24 $14.93 2 $41.56 $2.22 $7.95 4 $41.56 -$33.10 -$18.91 6 $41.56 -$68.31 -$45.64 8 $41.56 -$103.43 -$72.28 10 $41.56 -$138.53 -$98.88 4 Proceedings of Solar ’97 - Australian and New Zealand Solar Energy Society PV on Net Metering $29.76 $17.96 $2.05 -$15.30 -$84.66 -$154.04 -$223.43 -$292.78 Paper 132 Economic Evaluation of Domestic Grid-Connected PV Systems 4.2 K.Khouzam and R.Tibaldi Scenario 3: Battery Charging/Discharging Figure 2 shows the load curves for a grid connected system consists of a 3 kWh battery that is charged during off-peak times, at Tariff 33, then used to supply the local load and sell excess energy in peak times. The battery and charger losses are estimated at 15% and the battery minimum SOS is 35%. This system results in a monthly electricity bill of $38.40 rather than the $41.56 for a home with no energy storage or PV. Figure 2. Load curves for battery and load scenario. 4.3 Scenario 4: A PV and Battery System This system comprises a PV array and a battery charging / discharging system, charging at off-peak rates. The energy flow results are summarised for each PV system size in Table 6. Table 6. Energy flow (kWh) for combined PV, battery and household load. PV Size Import to Import to Export to PV and Local → (kW) Household Battery Grid Battery Load 0.5 7.146 2.362 1.066 5.75 4.684 1 6.484 2.362 4.217 9.572 5.36 1.5 6.154 2.362 7.708 13.39 5.682 2 6.016 2.362 11.387 17.20 5.817 4 5.838 2.362 26.48 32.48 6.0 6 5.754 2.362 41.678 47.75 6.074 8 5.722 2.362 56.916 63.02 6.11 10 5.688 2.362 72.151 78.3 6.149 5 ECONOMIC ANALYSIS Economic analysis has been performed using simple payback (PBP) period, which does not take into account the time value of money. It does however give a clear estimation of the time it takes to recover the initial investment. The pay back period is given by: Pay Back Period (PBP) = Initial Capital Cost Annual Benefits − Annual O& M Proceedings of Solar ’97 - Australian and New Zealand Solar Energy Society (1) Paper 132 5 Economic Evaluation of Domestic Grid-Connected PV Systems K.Khouzam and R.Tibaldi Table 7 gives a summary of the results of the payback period for each scenario, illustrating that under the current conditions only two systems, except the battery charging system alone, will pay themselves back in the expected system lifetime of 25 years. These are the 8 kWac and 10 kWac systems under the net tariff scheme. It must be noted however that these payback periods do not take into account the minimum monthly charge, which would reduce the yearly savings considerably for the larger systems and hence further increase the payback periods. PV System Size (kW) 0.5 1 1.5 2 4 6 8 10 Table 7. Results of payback period analysis for different scenarios. PBP (yrs) PBP (yrs) PBP (yrs) PBP (yrs) Scenario: 1a Scenario: 1b Scenario: 2 Scenario: 3 62 63.5 56.7 14.6 56.5 65.4 45.7 14.6 55.6 69.6 35.6 14.6 48.3 63.9 26.5 14.6 60.9 90.4 26.4 14.6 62.3 98.4 25.3 14.6 63.4 103. 24.8 14.6 64.1 106. 24.5 14.6 PBP (yrs) Scenario: 4 47.7 49.1 50.4 44.9 57.9 60.5 62 62.9 Life-cycle techniques is necessary for more accurate representation of a long term investment. In life-cycle analysis the costs and benefits of the system over its entire operating lifetime are considered. The net present value (NPV) is the difference between the present value of the total system and O&M costs and the present value of total energy savings. An investment will be accepted if NPV is positive and rejected if it is negative. The net present value is given by: 1 + f NPV = E A d − f where: 1 + j 1 + f n 1 − − M A d − j 1 + d d = discount / loan interest rate, f = energy price inflation rate, j = O&M costs inflation rate, 1 + j n 1 − − CS 1 + d (2) CS = initial system cost MA = annual O&M cost EA = annual energy savings The results given in Table 8 show that none of the scenarios studied can be considered a good investment as all produced negative NPV’s. These results were calculated without consideration to the $6.80 minimum monthly charge, which would further decrease the economic value of the investment. Table 8. Results of net present value (NPV) analysis for different scenarios. PV System NPV NPV NPV NPV NPV Size (kW) Scenario: 1a Scenario: 1b Scenario: 2 Scenario: 3 Scenario: 4 0.5 -4228 -4259 -3882 -658.5 -3982 1 -6454 -6760 -5713 -1312 -6258 1.5 -8755 -9384 -6821 -1965 -8577 2 -9086 -10061 -5678 -2619 -8925 4 -22543 -24957 -13108 -5233 -22387 6 -34021 -37875 -18536 -7846 -33867 8 -45514 -50811 -23961 -10460 -45363 10 -57010 -63751 -29395 -13073 -56859 Sensitivity analysis has been performed to investigate the effect of system set-up cost on the pay back period. The results show that a cost reduction of 75% will reduce the PBP to 14 years for the 1 kW system under the net tariff. Larger systems ratings will have lower PBP. A 4 kW system will have the same PBP under a 50% reduction in cost. Systems 4 kW and above will have PBP of about 17 years at 25% reduction in system cost. Under existing tariff even a reduction in cost by 75% will not make the investment economically viable. 6 Proceedings of Solar ’97 - Australian and New Zealand Solar Energy Society Paper 132 Economic Evaluation of Domestic Grid-Connected PV Systems 6 K.Khouzam and R.Tibaldi CONCLUSION The results show that under current conditions the pay back period for residential generation systems will not make these systems economically viable. The net present value has been applied and consistent results are obtained. A reduction in PV systems costs by about two-third accompanied by a change of the tariff structure from buy/sell tariff to net metering, and considering other financial incentives, larger systems could come close to paying themselves off within the system lifetime. One might also expect that the minimum monthly charge may be waived at least until the electricity bill reduces to zero. Further studies will be directed to other life-cycle cost analysis as well as sensitivity analyses of the cost parameters in order to identify technical and economical scenarios which may favour the installation of small-scale PV systems from the utility’s perspective. A research project addressing the technical and economic feasibility of dispersed PV and battery systems as demand/supply side management tool will be advantageous. 7 ACKNOWLEDGMENT This project is supported by the Chair of Asset Management and the School of Electrical and Electronic Systems Engineering. 8 REFERENCES Davies M.C. and Cabraal A. (1994), Least cost analysis of renewable energy projects, In Proceedings of 24th IEEE PV Specialists Conference, pp.2387-2389. Electricity Supply Association of Australia (1997), Australian guidelines for grid connection of energy systems via inverters. Farmer B.K., Hoff T.E., and Wenger H.J. 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