Te Aponga Uira Final Renewable Energy Economic Viability Study
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Prepared for Te Aponga Uira Final Renewable Energy Economic Viability Study Prepared by: KEMA Australia Pty Ltd Level 9, 189 Kent Street Sydney NSW 2000 T: +61 2 8243 7700 F: +61 2 9241 3998 Submitted to: Te Aponga Uira Cook Islands KEMA Australia Pty Ltd www.dnvkema.com Experience you can trust.
Table of Contents 1. Executive Summary ................................................................................................................ 1 2. Introduction ........................................................................................................................... 2 2.1 Overview of the Existing Situation .................................................................................. 2 2.2 The TAU Network ........................................................................................................ 2 2.3 Conventional Units ........................................................................................................ 2 2.4 The Government’s Renewable Energy Plan ...................................................................... 4 2.5 Renewable Energy Development Up-to-Date and Outlook ................................................. 4 2.6 Load Characteristics ...................................................................................................... 5 3. Benefit Cost Model ............................................................................................................... 10 3.1 Model Overview ......................................................................................................... 10 3.2 Overview of the Calculations in the Benefit Cost Model .................................................. 11 3.3 Costs of Technologies, Assumptions and Treatment of Benefits ........................................ 12 3.3.1 Renewable Costs ............................................................................................. 12 3.3.2 Storage Costs .................................................................................................. 13 3.3.3 Costs for Automation and Control...................................................................... 14 3.3.4 Energy Efficiency Costs and Benefits ................................................................. 15 3.3.5 Renewable Benefits ......................................................................................... 16 3.3.6 General Assumptions ....................................................................................... 16 4. Scenarios ............................................................................................................................. 18 4.1 Overview ................................................................................................................... 18 4.2 Recommended Scenario ............................................................................................... 19 4.3 Other Scenarios ........................................................................................................... 23 4.3.1 50 % By 2020 ................................................................................................. 24 4.3.2 100 % Renewable by 2020 with Batteries for Load shifting .................................. 24 4.3.3 100 % by 2020; Biodiesel Scenario .................................................................... 25 4.3.4 50 % 2015; 100 % by 2020 – Renewables and Storage Mix with Biodiesel ............. 26 4.3.5 50 % 2015; 100 % e by 2020 – Renewables and Storage Mix without Biodiesel ...... 27 4.4 Comparing Scenario Results ......................................................................................... 28 5. Key Findings ....................................................................................................................... 33 5.1 Resource Mix Findings ................................................................................................ 33 5.2 Cost Effectiveness ....................................................................................................... 33 5.3 Risks ......................................................................................................................... 34 5.4 Role of Storage ........................................................................................................... 34 6. Action Plan Economic Viability Study Action Plan .................................................................. 36 Appendix A findings from KEMA’s interviews ............................................................................ 38 Appendix B Stakeholder interviewed/consulted January – May 2012 ........................................ 42 Appendix C – Additional Data from Benefit / Cost Model- ......................................................... 43 Costs of Renewable Technologies – Recommended Case ................................................ 44 Appendix D- Ranking of Scenarios............................................................................................ 62 TAU Proprietary Economic Viability Report 19 September 2012
Appendix – E – Emerging Technologies ................................................................................... 63 List of Figures Figure 2-1: Load Forecast ....................................................................................................................... 5 Figure 2-2: Visitors per Month ............................................................................................................... 6 Figure 2-3: Load Shapes by Day Type for Rarotonga ............................................................................ 7 Figure 2-4: January 2012 Peak and Average Load Shapes ..................................................................... 8 Figure 2-5: Sunshine Hours for Cook Islands Locations ........................................................................ 9 Figure 3-1: Schematic Representation of the Model............................................................................. 11 Figure 3-2: Annual Energy Savings Assumed in kWh ......................................................................... 16 Figure 4-1: Fuel Mix of Recommended Scenario ................................................................................. 20 Figure 4-2: Energy Mix of Recommended Case.................................................................................. 21 Figure 4-3: Annual Expenditure by Type – Recommended Case......................................................... 22 Figure 4-4: Cumulative Expenditures of the Recommended Case ....................................................... 22 Figure 4-5: Benefit Cost Results by Scenario ....................................................................................... 29 Figure 4-6: Nominal Results of Presented Scenarios............................................................................ 30 Figure 4-7: Average Yearly Prices for Selected Scenarios ................................................................... 31 Figure 4-8: Annual Expenditures on Storage by Scenario .................................................................... 32 List of Tables Table 2-1: Current TAU Generation ....................................................................................................... 3 Table 3-1: Cost Parameters Renewables ............................................................................................... 13 Table 3-2: Cost Parameters Storage ...................................................................................................... 14 Table 3-3: Automation Costs ................................................................................................................ 15 Table 3-4: Main Assumptions for all Scenarios.................................................................................... 17 Table 4-1: Summary of Scenarios......................................................................................................... 19 Table 4-2: Summary of Renewable Resources used in the Recommended Scenario ........................... 20 Table 4-3: Summary of the Recommended Scenario ........................................................................... 21 Table 4-4: Presents a Summary of Key Parameters of the Recommended Case: ................................. 23 Table 4-5: Summary table for the 50% renewable scenario ................................................................. 24 Table 4-6: Summary Table for the Load Shifting Scenario .................................................................. 25 Table 4-7: Summary Table for the Bio Diesel Scenario ....................................................................... 26 Table 4-8: Summary Table for the Mix of Renewables and Scenario .................................................. 27 Table 4-9: Summary Table for Renewable and Storage Mix without Biodiesel .................................. 28 TAU Proprietary Economic Viability Report 19 September 2012
1. Executive Summary This report provides an economic viability study of possible renewable energy options for the Island of Rarotonga. The economic viability study was based on a comprehensive benefit cost analysis of future renewable energy future for six scenarios. In July 2011, the Prime Minister, Hon. Henry Puna announced the Cook Islands Government’s ambitious renewable energy targets: to achieve 50% electricity supply by renewable energy by 2015 and 100% by 2020. We developed scenarios that met both of the 2015 and 2020 goals; scenarios that just met the 2020 goal and a scenario that only reached 50 % renewable energy by 2020. A critical need to meet the Prime Minister’s goal is to be able to have renewable energy or stored renewable energy to cover the night time load of the island. There are three scenarios that reach both the 2015 and 2020 goals that are very cost effective – those are the: Recommended Scenario – where the primary renewable resource is wind, followed by solar; Renewable and Storage Mix – where there is both significant solar and wind resources; Renewable and Storage Mix – where there is significant solar, wind and biodiesel; The Recommended Scenario is the most cost effective and the least costly of the scenarios that reach the Prime Minister’s goals. It will require significant investment in 2012-2020 time period. The nominal cost of this scenario is $ NZ 149 M. The benefit to cost ratio is 2.11 indicating the benefits are more than 2 times the cost of this scenario. All scenarios require significant storage for grid stability. Storage is used in some scenarios to store renewable energy to use during the night time hours. All scenarios require significant investment in solar and wind. All scenarios include a Waste to Energy Plant. All include significant solar and wind. All of the 3 scenarios above illustrate that Rarotonga can reach 100 percent renewable energy by 2020 in a cost effective manner. Te Aponga Uira 1 Proprietary Economic Viability Report 19 September 2012
2. Introduction This report was developed by DNV KEMA for Te Aponga Uira (TAU) to assess the economics of renewable energy scenarios for Rarotonga. The Prime Minister’s Renewable Plan does have the objective of the island becoming one hundred percent renewable by 2020. This analysis in this report is based on a benefit cost model. DNV KEMA used four scenarios to assess the overall costs and benefits of increasing the amount and type of renewable energy on the island of Rarotonga. This report does not address or analyze the adequacy of any future renewable energy projects. Moreover, this report is based upon certain assumptions and sample cases, and it is therefore intended to be advisory but not all-inclusive as to events and scenarios which could arise in reality. In no event should this report be relied upon as a guarantee of any performance results of any scenarios used here. 2.1 Overview of the Existing Situation 2.2 The TAU Network Rarotonga, the capital and the main island of Cook Islands, has the area of 67km2. The population of Rarotonga is 13, 097 according to the 2011 Census. Tourism is the dominant industry and visitor arrivals have been increasing steadily in the past years and were 112,461 in 20111. Rarotonga is fully electrified and Te Aponga Uira (TAU), the Government Business Enterprise (GBE), owns the power generation and distribution network serving 4,037 residential and 1,032 commercial customers2. The power generation is heavily dependent on imported diesel. The generation capacity of TAU is about 9.5 MW out of the nine gen-sets. The firm capacity has been reduced from 12MW due to de-rating of six gen-sets. The distribution network comprises 80km of 11kV underground cables and 200km of 415V low voltage distribution lines. TAU operates with IEC standards and the power supply quality has been benchmarked as the “best class” for similar island networks3. 2.3 Conventional Units The power station is located in the Avatiu Valley. There are nine generating units all burning diesel # 2 as the fuel. The gen-sets are of various ages and conditions of which two generating units (No.4 and No.5) are considered having reached the end of their lifetime. Power station control is done manually in the power station control room. The power station has 3 bulk fuel tanks of 54,000 liter each and 2 day tanks (13,500 and 13,900 liters). 1 http://www.stats.gov.ck/ 2 TAU Facts 3 Quantification of the Power System Energy Losses in South Pacific Utilities, 2011 Te Aponga Uira 2 Proprietary Economic Viability Report 19 September 2012
Most of the installed generators’ capacity has been de-rated due to various engine problems. The total generation capacity is 12,300kW and the de-rated total capacity 9,500kW. As the result the firm capacity is 6,000kW under the n-2 policy. TAU has a spinning reserve policy that provides uninterrupted power supply in case the largest generator trips. Currently the system peak demand is 4,830kW (2011) and is expected to be further reduced due to recent PV installations and the on-going energy efficiency program. With the total available capacity TAU can keep up with the n-2 criterion. However, there are issues to be addressed to ensure long-term power supply quality. The gen-set ratings are listed in the table below. Table 2-1: Current TAU Generation No. Make Rating *Actual Rating Gen. 1 Duvant Crepelle / 12V26N rated 2000 kW de-rated 1500 kW Gen. 2 Duvant Crepelle / 12V26N rated 2000 kW de-rated 1500 kW Gen. 3 Mirrlees Blackstone / MB rated 1600 kW de-rated 1200 kW 275-8 Gen. 4 Lister Blackstone / ETSL rated 600 kW de-rated 400 kW Gen. 5 Lister Blackstone / ETSL rated 600 kW de-rated 400 kW Gen. 6 Mirrlees Blackstone / ESL rated 1200 kW Out of Service 16 Gen. 7 MAN B&W / L9-27/38 rated 2700 kW 2700 kW Gen. 8 Cummins / KTA50-G3 rated 800 kW 800 kW Gen. 9 Cummins / KTA50-G3 rated 800 kW 800 kW Total 12,300 kW 9,300 kW * Apart from No. 6 which has been taken out of service the other engines are temporarily de-rated. Each one is able to be run to full load but not continuously In late 2007, TAU commissioned Hydro Tasmania Consulting (HTC) to conduct a power system review and upgrade option study. The focus of the study was the security of electricity supply and the HTC report identified a number of risks associated with the power system operation and evaluated upgrading options. Key recommendations include: • retain the existing power station; • add a new power house to the existing power station; • implement automation to improve asset protection and control; • replace old inefficient medium speed generator sets with high speed generating sets; • investigate the feasibility of progressively installing wind turbines; and • implement a number of minor projects to improve system security. Te Aponga Uira 3 Proprietary Economic Viability Report 19 September 2012
Following the HTC 2008 report, TAU has developed the power house upgrade plan. Currently the upgrade is now incorporating the Cook Island Government’s Renewable Energy Plan. 2.4 The Government’s Renewable Energy Plan The Cook Islands enjoyed a high level of electrification. However, the energy supply has been heavily dependent on imported fossil fuels, exposing the Cook Islands to the risks of energy security and international oil price volatility. In July 2011, the Prime Minister, Hon. Henry Puna announced the Cook Islands Government’s ambitious renewable energy targets: to achieve 50% electricity supply by renewable energy by 2015 and 100% by 2020. The Cook Islands Government has established a Renewable Energy Development Division (REDD) with the Office of the Prime Minister as an indicator of leadership. The Government has also openly voiced to the International Community, the Region and the Country of its commitment to achieving, by Renewable Energy means, the electricity demand of the country by 2020. REDD has recently developed the Cook Islands Renewable Energy Chart Implementation Plan. The Implementation Plan is focused mainly on the outer islands. According to the Implementation Plan, the cost for achieving 100% renewable energy supplied electricity for Rarotonga is NZ $208m. It is expected that the future electricity supply for Rarotonga will be a mix of mature renewable energy technologies including Solar (PV), wind, waste to energy and other emerging renewable energy technologies with energy storage and backed-up by diesel generators4. 2.5 Renewable Energy Development Up-to-Date and Outlook To encourage renewable energy development from the commercial and residential customers, TAU introduced a Net-Metering Policy in November 2009. The Net-Metering policy provided economic incentives to customers interested in grid-tied renewable energy installations under 10kW capacity, allowing for credits to accumulate over a period of 12 months from the excess energy fed back into the grid. The Net-Metering policy has been a great success. The response to the Net-Metering policy from the public has been overwhelming. By the end of January 2012, 59 projects were installed with the total capacity of 288kW. The projection of the installed renewable energy capacity will exceed 800 kW by 2012. Noticeably, most installations are PV projects. Due to network safety and power quality concerns, TAU issued an amended Net-Metering policy on 1st October 2011 to limit the individual installed capacity under 2kW. A process of assessment and approval by TAU is mandatory before any grid-tie project can proceed. 4 REDD: Cook Islands Renewable Energy Chart Implementation Plan, March 2012 Te Aponga Uira 4 Proprietary Economic Viability Report 19 September 2012
The new Net-Metering policy has restricted net-metered PV installations greater than 2kW. However, the high cost of electricity is driving the high demand of PV installations, particularly for businesses where energy costs are significant. Even without “Net-Metering” benefits, many projects, providing it is grid-tied, are still considered viable. For example, CITC has installed a number of grid-tied projects and the biggest project has the capacity of 85kW. These new installations will have reverse power relay installed preventing power export to the grid. Some of these projects have some level of battery storage as “counter-cloud measure”, i.e., to draw power from batteries for up to 30 minutes to local loads in the case of cloud caused power down instead of drawing power from the grid. Under current electricity tariff the simple payback of net-metered PV projects is under 6 years. With the cost-down trend of PV systems, the viability of net-metered PV installations will further improve over the years. Therefore it is expected the organic growth of PV installations will continue for the foreseeable future. The growth rate is expected in the range of ~500kW per year. 2.6 Load Characteristics We forecast a modest growth in sales and peak load growth for this analysis. We projected that sales would increase at 1.75 percent per year and demand at 1.61 percent per year until 2020, for this analysis. These projections are presented below: Figure 2-1: Load Forecast 35,000,000 5,600 34,000,000 kWh energy 5,400 kWh energy after savings kW demand 33,000,000 5,200 32,000,000 kWh kW 31,000,000 5,000 30,000,000 4,800 29,000,000 4,600 28,000,000 27,000,000 4,400 2012 2013 2014 2015 2016 2017 2018 2019 2020 Te Aponga Uira 5 Proprietary Economic Viability Report 19 September 2012
Economic Drivers Tourism is the main industry in the Cook Islands. Approximately 100,000 people visit the Cook Islands each year, spending their time mostly on Rarotonga and Aitutaki. This increased the population by around 3,000 each day on average and 4,000 per day during the peak tourist period 5 which is usually between July and September. Figure 2-2: Visitors per Month Visitors per Month 16,000 14,000 12,000 10,000 8,000 6,000 2009 4,000 2,000 2010 - 2011 Overall GDP is approximately $250M per year. Real gross domestic product (GDP) per capita is now around NZ$15,000 (US$12,000). Electricity and water supply account for 2% of GDP, with the dominant components of GDP being; Wholesale and Retail Trade 20%, Restaurants and Accommodation 16%, Transport and Communication 18%, and Finance and Business Services 13%. Public Administration is 9% of GDP.6 The key drivers of growth are expanding tourism and rising household spending, these are contributing factors to unemployment being at low levels on Rarotonga. Rising numbers of foreign workers are required to meet the needs of the island’s expanding private sector. Tourism will likely remain as the driver of economic growth, but will remain concentrated in Rarotonga and Aitutaki. 7 5 The Cook Islands Renewable Electricity Implementation Plan (Draft) ; Renewable Energy Development Division; Office of the Prime Minister; Government of the Cook Islands 6 The Cook Islands Renewable Electricity Implementation Plan (Draft) ; Renewable Energy Development Division; Office of the Prime Minister; Government of the Cook Islands 7 The Cook Islands Renewable Electricity Implementation Plan (Draft) ; Renewable Energy Development Division; Office of the Prime Minister; Government of the Cook Islands Te Aponga Uira 6 Proprietary Economic Viability Report 19 September 2012
Load Shape The load shape for Rarotonga for different day types is shown below: Figure 2-3: Load Shapes by Day Type for Rarotonga The load shape is relatively flat; The load shape has a typically AC peak driven by commercial and residential loads and then a second peak around 8 pm driven by residential AC and other nighttime loads. The nighttime loads show that 2.5-3 MW are needed throughout the night.8 The figure presented below is from January of this year is based on the output of the generations and shows a similar pattern: 8 Source: HTC 2008, Te Aponga Uira Cook Islands Power System Review and Expansion Options. Hydro Tasmania Consulting, January 2008 Te Aponga Uira 7 Proprietary Economic Viability Report 19 September 2012
Figure 2-4: January 2012 Peak and Average Load Shapes Observations from most recent data: 1. The blue line is the average over all days by hour- its low is about 2.6 MW and the peak on average is about 3.5 MW. 2. The red line is the actual January peak day where it appears there was a storm late in the day. 3. The green line is the second highest day where clearly there was no weather relief- the load stays higher longer- that load shape is probably a better more realistic peak load shape as there is no sudden reduction of load. The solar hours for some of the islands are shown below for the twelve months. Te Aponga Uira 8 Proprietary Economic Viability Report 19 September 2012
Figure 2-5: Sunshine Hours for Cook Islands Locations Sunshine Hours Courtesy Cook Islands Telecom January 2012 9.00 Penrhyn 8.00 7.00 Rakahanga 6.00 Manihiki 5.00 Pukapuka 4.00 Nassau 3.00 Suwarrow 2.00 Palmerston 1.00 Aitutaki - Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mauke There is strong coincidence between the sunlight hours and the load between 7am and 6 pm. Generally the secondary peak is not during sunlight hours. The above data suggest that a key challenge for having a very high percentage energy from renewable generation will be the night time hours. This will require renewable production that occurs during all hours or a very large amount of storage for load shifting. Te Aponga Uira 9 Proprietary Economic Viability Report 19 September 2012
3. Benefit Cost Model 3.1 Model Overview The presented Benefit Cost Model is specifically built for the purpose of assessing the transition of Rarotonga to renewable energy sources. The model is built as flexible as possible and allows for accurate scenario building. Scenarios can be built by adding different sources of renewable capacity in kW annually, for the period up to and including 2020. Subsequently the amount of storage needed for grid stability purposes and (if applicable) load shifting is calculated. As part of the optimizing progress, storage capacity in kW can be added to the scenario on a year by year basis up to 2020. The model also allows for adding kW’s of biodiesel to the scenario. Optimisation of the scenario is done manually, by observing some important model indicators like total expenditures, benefit/cost (B/C) ratio and net present value (NPV). Figure 3-1 shows a schematic of the model divided into three main parts; model input, model calculations, and model output. The main model input categories are: • General Parameters • Financial Parameters • Scenario Information for 2012-2020 The latter category is adjusted or optimised by using some of the model calculations. The main categories in the model calculations part are: • Calculation Line Parameters; these parameters are, or may be, variable over time (e.g. the demand forecast and annual growth parameters) and are included directly into the time series calculation sheet of the model. • Line Items Used to Optimise Inputs; these model time series are fed back into the input part of the model to serve as indictors for optimisation purposes. • Other Line Items; miscellaneous items that are essential for generating the desirable output of the model. Finally the model automatically generates output that can be used in reports, and is essential for evaluating the variation between the different scenarios that are under investigation. The model generates three types of output; main indicators, charts, and tables. A selection of the output of the model will be discussed in Section 4 where the scenarios and results are described. Te Aponga Uira 10 Proprietary Economic Viability Report 19 September 2012
Figure 3-1: Schematic Representation of the Model 3.2 Overview of the Calculations in the Benefit Cost Model Ultimately benefits and costs are calculated in the model and are used to perform the societal test. Costs are generally expenditures, as they represent outgoing cash flows rather than accounting allocated costs. Expenditures are in turn split into two different types, operational expenditures (OpEx, also known as maintenance and operation costs) and capital expenditures (CapEx, also known as investment costs). CapEx is used in the model to represent the actual capital expenditures in renewables or storage; it is displayed in a cost per kW. OpEx is used as two distinctive types, variable and fixed. Fixed OpEx in $ per kW per annum ($/kW/a), and variable OpEx in $ per MWh generated electricity. In the current model variable OpEx is used for the renewable generation assets. In this model a load factor is used to calculate the amount of kWh per kW of renewable can be generated yearly with the applicable renewable. Fixed OpEx is used for storage, because generally the energy output of storage is too low to provide a sensible OpEx number. This is presented in $ per KW per annum. Te Aponga Uira 11 Proprietary Economic Viability Report 19 September 2012
There are two types of benefits handled in the model. The first benefit is the avoided fuel cost (diesel generation), and the second is the energy efficiency benefit. The avoided diesel generation is calculated in kWh by summarising the total generated kWh by the installed renewable capacity, the energy efficiency is calculated in kWh by taking a percentage of the total energy demand in kWh at a certain point in time. To calculate the benefits, both kWh numbers are multiplied by the applicable average cost per kWh. The output of the model includes several indicators. Some of the most important are the benefit/cost (B/C) ratio, the average cost per kWh, and the net value (result). The formulas for these indicators are shown in the equations below: (1) The benefit/cost ratio: [(cumulative energy efficiency benefits) + (cumulative generation benefits)] / [(cumulative CapEx and OpEx)] (2) The average cost per kWh: [(cumulative OpEx and CapEx) + (cumulative kWh generated by diesel*cost of generation) - (cumulative generation benefits)] / [(cumulative kWh generated)] (3) The net value: [(cumulative energy efficiency benefits) + (cumulative generation benefits)] – [(cumulative CapEx and OpEx)] (4) The net present value: [(benefits ;year 1-expenditures;year 1) / (1+interest rate)^1]+ [(benefits;y2-expenditures;y2) / (1+interest rate)^2]+........................+[(benefits;y15- expenditures;y15) / (1+interest rate)^15] Equation 4 shows the calculation of the net present value (NPV). The net values, or net cash flows (cumulative benefits – cumulative expenditures) for every year are calculated to the present values by using the applicable interest rate. The collection of the present or cash values of each project year together is called the net present value (NPV). 3.3 Costs of Technologies, Assumptions and Treatment of Benefits 3.3.1 Renewable Costs Table 3-1 displays the cost parameters for renewable resources used in the benefit cost model. The CapEx cost parameters for solar are based on interviews with solar suppliers active on the Cook Islands. The other CapEx and all the variable OpEx cost parameters are averages based on a number of sources available to DNV KEMA9. All the numbers are rounded, compensated for exchange rate differences, and price indexed. 9 CEC Renewable Energy Cost of Generation Update, 2009, (KEMA 2009), CEC Renewable Energy Cost of Generation Update, 2009, (IEPR 2007), CEC Renewable Energy Cost of Generation Update, 2009, (RETI 1A), CEC Renewable Energy Cost of Generation Update, 2009, (CPUC E3 2008), European Commission, DG Energy, Financing Renewable Energy in the European Energy Market, 2011, Te Aponga Uira 12 Proprietary Economic Viability Report 19 September 2012
Table 3-1: Cost Parameters Renewables Type of Cost/ Renewable CapEx OpEx Variable $/kW $/MWh Solar Behind the Meter 5,000 66.00 Net Metered Solar 5,000 66.00 Utility Solar 5,000 35.00 Wave 8,400 70.00 Off-Shore Wind 5,900 72.00 On-Shore Wind 2,700 37.00 Small Scale Wind 5,000 57.00 Small Scale Hydro 5,500 36.00 Waste to Energy/ Biomass 16,000, 39.00 3.3.2 Storage Costs The cost parameters that are used for storage are split up in two categories. There is one category for grid stability (GS) and one for load shifting (LS). Storage for grid stability is based on batteries only. Batteries installed until 2015 are still assumed to be under development, and therefore costly. However, in the next three years it is assumed that the development of different typed of batteries will continue and lead to the availabilities of more competitively priced batteries by 2015. In the model the price of the installed batteries for the purpose of grid stability will therefore drop significantly by 2015. The CapEx cost parameter for batteries installed up to 2015 are based on a quoted from two tbattery manufacturers The remaining CapEx and fixed OpEx cost parameters are an average based on information from the DNV KEMA storage cost database. Storage for the purpose of load shifting is not added before 2015, for several reasons. First of all it is not necessary as long as there is still a limited amount of renewables installed. Secondly, the costs for storage are too high before 2015, and finally the total amount (LS and GS) of kW’s storage to be installed in the first few years would be unrealistically high. Since batteries for load shifting purposes are much more frequently charged and discharged, the average life of these batteries is much shorter, and therefore set at three years. The model incorporates several replacements of the installed batteries for load shifting purposes. The CapEx and OpEx cost parameters are also based on information from the DNV KEMA storage cost database. Additionally cost parameters for reverse thermal cold storage are added to the model. This storage technology is a long life low-cost alternative for batteries, and employable for the purpose of load shifting. However, IEA, NEA and Organisation for Economic Co-Operation and development, Projected Costs Of Generating Electricity, 2010 Edition. Te Aponga Uira 13 Proprietary Economic Viability Report 19 September 2012
this type of storage is only available for a limited amount of kW since it is typically used in commercial office buildings for cooling and in processing of frozen foods. Table below summarises all the cost parameters for storage GS as well as LS. Table 3-2: Cost Parameters Storage Type of Cost/ Renewable CapEx $/kW OpEx Fixed $/kW/a Storage GS* ≤2014 (Batteries) 7,500 27.00 Storage GS* >2014 (Batteries) 2,750 27.00 Storage LS** (Pumped hydro) 5,200 47.00 Storage LS** (Batteries, 3 year life time) 2,750 27.00 Storage LS** (Reverse Thermal Cold) 2,400 12.00 *GS = Grid Stability **LS= Load Shifting 3.3.3 Costs for Automation and Control It is recommended to upgrade the power system with some automation and control measures. This upgrade will include the following components: • A programmable logic controller (PLC) system • An overall control system; “small SCADA” system without power analysis • A simple engineering data repository system (OSI Pi), including software based maintenance system. • Communication infrastructure between remote sites and control centres. • A unitised control system for each power station (for Automatic Voltage Regulation). • Condition monitoring of the conventional diesel power stations. The mentioned components are based on the report of Tasmania Hydro and will form a basic automation and control system for the energy distribution on Rarotonga. The capital expenditures for each component are displayed in the table below. The numbers are based on controlling and monitoring six separate power stations. Te Aponga Uira 14 Proprietary Economic Viability Report 19 September 2012
Table 3-3: Automation Costs Component CapEx PLC system $ 300,000 SCADA system $ 350,000 OSI Pi $ 450,000 Communication infrastructure $ 150,000 Unitised control systems $ 150,000 Condition Monitoring $ 120,000 Total CapEx $1,520,000 Annual OpEx +/- 30% of CapEx annually $ 500,000 Total capital expenditures are a little over $1.5 million, and annual operational expenditures will be around half a million yearly. The automation and control systems should be operational by the end of 2016, which means 10 years of operational expenditures, a total $5 million, and $1.5 million capital expenditures. Therefore, the total costs for automation and control is estimated to equal $6.5 million. In addition, a capital expenditure of $250,000 has also been added to the model. These expenditures correspond to the necessary costs for an upgrade of 5 diesel generators to allow for the use of biodiesel. 3.3.4 Energy Efficiency Costs and Benefits Energy efficiency measures are also incorporated in the model and all the proposed scenarios. The energy efficiency measures are projected as a linear decrease of 10% of demand as of 2020. The saved energy in kWh is shown in Figure 3-2. The energy efficiency benefit is calculated as a societal benefit by multiplying the kWh’s of saved energy by the current price of electricity in cents per kWh. There are also some costs related to the energy efficiency measures, these costs are projected as 3 cents per kWh saved electricity and are deducted from the benefits annually, leaving a final benefit of 76 cents for every save kWh of electricity. Te Aponga Uira 15 Proprietary Economic Viability Report 19 September 2012
Figure 3-2: Annual Energy Savings Assumed in kWh Annual Energy Savings in kWh 4,000,000 3,500,000 3,000,000 2,500,000 2,000,000 1,500,000 1,000,000 500,000 0 2012 2013 2014 2015 2016 2017 2018 2019 2020 3.3.5 Renewable Benefits All kWh generated by renewable energy sources are considered an equivalent saving in the cost for generating electricity by using diesel generators. The corresponding societal benefit is the cost of the avoided electricity. 3.3.6 General Assumptions Table 3-4 below displays the main general assumptions used in the model. The model uses a real interest rate or weighted average cost of capital (WACC) of 12.50%, corresponding to a cost of capital mixture of commercial and local governmental funding. We do not use a nominal interest rate, as we only inflate prices that increase above or decrease below a standard average long term inflation rate (i.e. applicable Consumer Price Index, CPI). The chosen life of the benefit cost analysis is 15 years. Additionally we used an electricity price of 79 cents per kWh for the calculation of the benefits as described in section 3.3.4, which has not been adjusted over time in the model. This means that benefits might be underestimated if the electricity price was to increase above the average applicable CPI in the future. Furthermore, all other cost parameters are also not increasing or decreasing over time. It could be argued that the costs for technologies will drop significantly in the future. However, it is assumed that these technologies will be substituted for improved technologies at the same price level, increasing only the efficiency. In turn this efficiency improvement will compensate for some of the deficiencies encountered at the beginning of the project. The model is user friendly and theses assumptions can be easily changed. Te Aponga Uira 16 Proprietary Economic Viability Report 19 September 2012
Table 3-4: Main Assumptions for all Scenarios Main Assumptions All Scenarios Real Interest Rate (WACC) 12.50% Life of B/C analysis 15 Year Price of Electricity 0.79 $/kWh Price Biodiesel: Diesel 1:1 Lastly, in some of the scenarios biodiesel is used as a renewable alternative for diesel. In all scenarios the price for 1 litre of biodiesel is assumed to be of equal rate as 1 litre of normal diesel. Therefore, the inclusion of biodiesel in a scenario will not lead to any direct benefits, but will only provide for avoided expenditures. Biodiesel helps decreasing the amount of storage needed for grid stability, and will defer investment in storage for load shifting indefinitely, or to the point it is significantly more affordable. Te Aponga Uira 17 Proprietary Economic Viability Report 19 September 2012
4. Scenarios 4.1 Overview As part of this analysis we developed six scenarios to represent possible energy futures for Rarotonga. At present there are no larger scale renewable projects under development for Rarotonga. There is a limited amount of small wind; most of the existing renewable energy is net metered solar and behind the meter solar. The first parameter we looked at for scenarios was the Prime Minister’s goals – namely 50 percent renewable energy by 2015 and 100 % renewable energy by 2020. We developed scenarios that did not meet those goals; scenarios that met the 2020 goal but not 2015; and scenarios that met both goals. The 50 percent by 2015 requires that a significant amount of renewable energy be built in the next 3 years. To meet the 100 percent goal by 2020 requires a significant amount both utility scale and customer side renewables. The fuel mix of the scenarios is the next parameter. The scenarios include different mixes of customer side and utility scale renewables as well as a mix of: • Behind the meter solar • Net Metered solar • Utility scale solar ( above 500 kW) • Community or small scale wind • Utility scale wind on shore (above 500 kW) • Utility scale wind offshore • Small hydro • Wave • Waste to energy/ biomass, and • Biodiesel We recognize that these and other technologies will change overtime. We present some newer not yet commercial technologies in Appendix E. Role of storage technologies was another parameter of the scenarios. All scenarios include mix of storage for grid support. The amount of storage for grid support or grid stability is related to the mix of renewables. Storage is also used in some scenarios to shift load to produce energy from storage when energy from renewables is not available. There is a trade-off between using storage for load shifting and using biodiesel. The load shifting storage options we considered were: batteries, storage cooling; and small pumped hydro. Te Aponga Uira 18 Proprietary Economic Viability Report 19 September 2012
The last parameter we considered was cost effectiveness. We developed scenarios that were cost effective and optimised the benefit cost ratio for each scenario. Using storage for load shifting is very expensive and hence the scenarios with that as a major component were less cost effective. After running a number of scenarios we developed what we call the Recommended Scenario. The table below summarizes the scenarios at a high level. Table 4-1: Summary of Scenarios % renewable % renewable % Scenario Benefit/ Cost avg Price in 2015 in 2020 % solar %wind %storage biodiesel total costs 50 % by 2020 2.65 0.66 17.00% 50.00% 23.90% 17.60% 9.00% 0.00% $62.3 M 100 % in 2020 with biodiesel 1.51 0.59 26.80% 100.00% 47.90% 17.80% 0.02% 22.00% $161M 100% in 2020 with battery load shifting 1.02 0.84 26.60% 100.00% 48.20% 17.30% 22.50% 0.00% $294M 50 % by 2015, 100% by 2020; Renewable, Biodiesel and Storage mix 1.67 0.58 51.60% 100.00% 49.60% 17.30% 7.66% 11.40% $171M 50 % by 2015, 100 % by 2020, Renewable storage mix 1.69 0.61 51.60% 100.00% 41.70% 28.00% 14.65% 0.00% $186 M 50 % by 2015 ; 100 % by 2020 High Wind - Recommended 2.11 0.54 50.20% 100.00% 27.70% 53.30% 10.55% 0.00% $149 M We ranked the scenarios on: • How feasible they were • Technology Risk • Cost Effectiveness • Ease of Implementation, and • Whether they met the Prime Minister’s goals. The rankings and an associated weighting scheme are presented in Appendix D. As shown in the table above the benefit cost ratios ranged from 1.02 ( for the load shifting case) to the 50 percent renewable by 2020 which is the most cost effective at 2.65 clearly as less investment is made in renewables and storage. Of the three scenarios that meet both the 2015 and 2020 goals, the recommended scenario is the least costly and most cost effective. This scenario ranked the highest using the parameters we considered. This scenario is described in more detail in the next section. 4.2 Recommended Scenario This scenario includes significant wind and solar. It has the most wind of all of the scenarios we developed. This is a primary reason it is more cost effective. It includes utility scale onshore wind; community wind and utility scale offshore wind. A summary of the renewable resources used in kW this scenario are show below in Table 4-2: Te Aponga Uira 19 Proprietary Economic Viability Report 19 September 2012
Table 4-2: Summary of Renewable Resources used in the Recommended Scenario Recommended Scenario Added Renewable Capacity in kW 2012 2013 2014 2015 2016 2017 2018 2019 2020 Solar behind the meter 275 200 200 200 200 200 0 0 0 Net metered solar 200 500 550 550 400 400 300 300 200 Utility Scale Solar 0 0 0 0 0 0 0 500 0 Off-shore wind 0 0 0 0 0 0 0 2,500 0 Small Scale/ Community Wind 0 0 300 300 0 0 0 100 0 Utility (Onshore) Wind 0 0 0 3,000 0 0 0 0 0 Wave 0 0 0 0 0 0 0 0 50 Waste-to-Energy/ Biomass 0 420 0 0 0 0 0 0 0 Small Hydro 0 0 0 0 0 0 0 0 0 Bio Diesel Gen. 0 0 0 0 0 0 0 0 0 Total all renewables 475 1,120 1,050 4,050 600 600 300 3,400 250 This is also shown graphically in Figure 4-1: Figure 4-1: Fuel Mix of Recommended Scenario Recommended Scenario cumulative 'fuel' mix (renewables and storage) 20,000 18,000 16,000 Energy Efficiency 14,000 Small Hydro Small Scale/ Community Wind Waste-to-Energy/ Biomass 12,000 Wave Biodiesel kW 10,000 Off-shore wind Utility Scale Solar 8,000 Utility (Onshore) Wind Net metered solar 6,000 Storage GS Storage LS Solar behind the meter 4,000 2,000 - 2012 2013 2014 2015 2016 2017 2018 2019 2020 The majority of utility scale renewables are wind. There is also significant net metered solar and a 500 KW utility scale solar plant. This scenario does meet the Prime Minister’s goals cost effectively. This does require that a large on shore wind project (3 MW project) be developed by 2015 to meet the 2015 goal. This is expected to be challenging. Wind has a load profile that covers more hours of the year than solar; requiring less load shifting to become 100 percent renewable. We also assumed in this case that the waste to energy could be run just a night at 420 kW instead of all day at 210 kW. This does allow for covering more of the night time load. Te Aponga Uira 20 Proprietary Economic Viability Report 19 September 2012
The storage additions over time in kW are shown below in Table 4-3 below: Table 4-3: Summary of the Recommended Scenario Recommended Scenario Added Storage Capacity in kW 2012 2013 2014 2015 2016 2017 2018 2019 2020 Storage GS: Batteries developed 0 0 0 400 550 650 400 900 0 Storage GS: Batteries under development 120 240 360 0 0 0 0 0 0 Storage LS: Pump Storage Hydro 0 0 0 0 0 0 0 500 0 Storage LS: Batteries 0 0 0 0 0 0 600 0 500 Storage LS: Reverse Thermal Storage (Cold) 0 0 0 0 0 0 100 100 100 The total amount of storage in this scenario is 5,520 MW. This scenario includes 500 kW of small scale pumped hydro in 2019. The figure below shows the energy by fuel type over time: Figure 4-2: Energy Mix of Recommended Scenario Recommended Scenario annual energy mix (renewables and storage) 40,000,000 35,000,000 30,000,000 Storage GS Wave Small Scale/ Community Wind 25,000,000 Small Hydro Utility Scale Solar Waste-to-Energy/ Biomass kWh 20,000,000 Net metered solar Bio Diesel Gen. Energy Efficiency 15,000,000 Utility (Onshore) Wind Storage LS Off-shore wind 10,000,000 Solar behind the meter 5,000,000 - 2012 2013 2014 2015 2016 2017 2018 2019 2020 Figure 4-3 presents total Operating Expenditures (OpEx) and capital expenditures over time (Cap Exp) for this scenario. The large Cap Ex expenditures in 2019 are for the offshore wind and pumped hydro additions in that year. Te Aponga Uira 21 Proprietary Economic Viability Report 19 September 2012
Figure 4-3: Annual Expenditures by Type – Recommended Scenario Recommended Scenario total annual expenditures by type 30,000,000 25,000,000 20,000,000 $NZ 15,000,000 Total OPEX Total CAPEX 10,000,000 5,000,000 - 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 Cumulative Expenditures are shown below through 2027: Figure 4-4: Cumulative Expenditures of the Recommended Scenario Recommended Scenario total cumulative expenditures by fuel 160,000,000 140,000,000 120,000,000 100,000,000 Storage $NZ 80,000,000 Biodiesel Renewables 60,000,000 40,000,000 20,000,000 - 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 Te Aponga Uira 22 Proprietary Economic Viability Report 19 September 2012
Table 4-4: Presents a Summary of Key Parameters of the Recommended Scenario: Recommended Scenario Result Summary Table Indicator Unit Nominal Costs Renewables $ 149.24 M$NZ Nominal Costs Biodiesel $ - M$NZ Nominal Benefits $ 314.56 M$NZ Net Value $ 165.32 M$NZ Benefit Cost Ratio 2.11 B/C Interest Rate 12.50% - Project Length 15 Year Average cost per kWh (all years) $ 0.54 $NZ Recommended Scenario Source: % Solar 28% Wind 53% Other 10% Biodiesel 0% Storage 11% Total 102% 4.3 Other Scenarios This section presents the other scenarios that we considered: 50 % renewable by 2020 – this scenario provides the lowest cost, is the most cost effective but does not meet the Prime Minister’s goals. 100 % Renewable by 2020 with Batteries for Load shifting- This scenario uses batteries to shift load to cover the night time hours. It does not meet the Prime Minister’s 2015 goal but does meet the 2020 goal. It is the most expensive scenario and the least cost effective. 100 % by 2020; Biodiesel Scenario- This scenario uses 850 kW of biodiesel rather than any storage for load shifting to meet 100 percent by 2020. This scenario does not meet the 2015 goal of 50% renewable energy. 50 % Renewable by 2015; 100 % Renewable by 2020 – Renewable, biodiesel and Storage mix- This scenario uses bio diesel along as well as storage to load shift. The storage includes batteries; storage cooling and small pumped storage. There is significant solar and wind in this scenario. 50 % Renewable by 2015; 100 % Renewable by 2020 - Renewable Mix – without biodiesel. The main difference between this one and the previous scenario is no biodiesel was used. SThis scenario Te Aponga Uira 23 Proprietary Economic Viability Report 19 September 2012
and the one above are both cost effective, meet the Prime Minister’s goal and both are very feasible scenarios. We now present additional information about these scenarios in this section and in Appendix D. 4.3.1 50 % By 2020 The table below presents summary data for this scenario. This scenario has the lowest total expenditures at $63 M. This is because it does not reach the Prime Minister’s goal of 100% renewable energy by 2020 – only 50 % by 2020. As less utility scale projects are required it is an achievable scenario. Table 4-5: Summary table for the 50% renewable scenario 50% renewables Result Summary Table Indicator Unit Nominal Costs Renewables $ 62.89 M$NZ Nominal Costs Biodiesel $ - M$NZ Nominal Benefits $ 166.43 M$NZ Net Value $ 103.53 M$NZ Benefit Cost Ratio 2.65 B/C Interest Rate 12.50% - Project Length 15 Year Average cost per kWh (all years) $ 0.66 $NZ 50% renewables Source: % Solar 24% Wind 18% Other 9% Biodiesel 0% Storage 0% Total 50% 4.3.2 100 % Renewable by 2020 with Batteries for Load shifting As noted above this scenario uses batteries to shift load to achieve the 100% renewable by 2020 goal. This scenario’s cost are $294 M. The summary of the scenario is shown below: Te Aponga Uira 24 Proprietary Economic Viability Report 19 September 2012
Table 4-6: Summary Table for the Load Shifting Scenario 100% renew w/ storage LS Result Summary Table Indicator Unit Nominal Costs Renewables $ 294.40 M$NZ Nominal Costs Biodiesel $ - M$NZ Nominal Benefits $ 301.30 M$NZ Net Value $ 6.90 M$NZ Benefit Cost Ratio 1.02 B/C Interest Rate 12.50% - Project Length 15 Year Average cost per kWh (all years) $ 0.84 $NZ 100% renew w/ storage LS Source: % Solar 48% Wind 17% Other 13% Biodiesel 0% Storage 23% Total 101% This is the least cost effective scenario mostly due to the high cost of using batteries to shift load. As this scenario is almost 50 % solar – load shifting of some kind is needed to cover the night time load. 4.3.3 100 % by 2020; Biodiesel Scenario This is a potentially viable scenario if biodiesel is available in the quantities required. A summary of this scenario is shown below: Te Aponga Uira 25 Proprietary Economic Viability Report 19 September 2012
Table 4-7: Summary Table for the Bio Diesel Scenario 100% renew w/ biodiesel Result Summary Table Indicator Unit Nominal Costs Renewables $ 103.27 M$NZ Nominal Costs Biodiesel $ 58.06 M$NZ Nominal Benefits $ 243.07 M$NZ Net Value $ 81.74 M$NZ Benefit Cost Ratio 1.51 B/C Interest Rate 12.50% - Project Length 15 Year Average cost per kWh (all years) $ 0.59 $NZ 100% renew w/ biodiesel Source: % Solar 48% Wind 18% Other 12% Biodiesel 23% Storage 0% Total 100% Solar is a significant resource in this scenario followed by biodiesel at 23 % and wind at 18 %. The total cost of the renewables and biodiesel are just over $160M. If biodiesel were available in quantity on Rarotonga this could be an option. The Growers are exploring growing biodiesel from algae. It is unknown at this point what volumes if any might be available. It is also unknown whether realistically other global sources of bio diesel will be readily available to Rarotonga. 4.3.4 50 % 2015; 100 % by 2020 Renewables and Storage Mix with Biodiesel This scenario is the most diverse – using solar ( both customer side and utility scale); utility and community wind; wave, waste to energy, biodiesel, small hydro, small pumped storage, batteries, and storage cooling to meet the Prime Minister’s goals. Total spending on renewables and storage is just over $170 M. Te Aponga Uira 26 Proprietary Economic Viability Report 19 September 2012
Table 4-8: Summary Table for Renewables and Storage Mix with Biodiesel Renewables and Storage Mix with Biodiesel Result Summary Table Indicator Unit Nominal Costs Renewables $ 142.15 M$NZ Nominal Costs Biodiesel $ 29.44 M$NZ Nominal Benefits $ 286.10 M$NZ Net Value $ 114.51 M$NZ Benefit Cost Ratio 1.67 B/C Interest Rate 12.50% - Project Length 15 Year Average cost per kWh (all years) $ 0.58 $NZ Renewables and Storage Mix with Biodiesel Source: % Solar 49% Wind 17% Other 15% Biodiesel 11% Storage 8% Total 100% 4.3.5 50 % 2015; 100 % by 2020 Renewables and Storage Mix no Biodiesel This scenario is very similar to the previous scenario. It also is very diverse using solar (both customer side and utility scale); utility and community wind, wave, waste to energy, small hydro, small pumped storage, batteries, and storage cooling to meet the Prime Minister’s goals. Its’ cost is higher at $186 M, but with slightly higher benefits. Te Aponga Uira 27 Proprietary Economic Viability Report 19 September 2012
Table 4-9: Summary Table for Renewables and Storage Mix without Biodiesel Renewables and Storage Mix without Biodiesel Result Summary Table Indicator Unit Nominal Costs Renewables $ 186.17 M$NZ Nominal Costs Biodiesel $ - M$NZ Nominal Benefits $ 315.21 M$NZ Net Value $ 129.04 M$NZ Benefit Cost Ratio 1.69 B/C Interest Rate 12.50% - Project Length 15 Year Average cost per kWh (all years) $ 0.61 $NZ Renewables and Storage Mix without Biodiesel Source: % Solar 41% Wind 28% Other 17% Biodiesel 0% Storage 15% Total 101% The two above scenarios are viable options as well as the recommended scenario. If the wind resources suggested especially the offshore resources in the recommended scenario do not develop these two scenarios provide an options for reaching the Prime Minister’s goal as well. 4.4 Comparing Scenario Results A graphical presentation of the nominal results of the 6 presented scenarios is displayed below in Figure 4.5. The bar chart shows the total benefits as well as the expenditures over the full 15 year project length. Apart from the 50% renewables scenario and the biodiesel scenario all benefits are roughly the same. Expenditures for the 50% scenario are the lowest, while expenditures of the third scenario (using batteries for load shifting) are highest. Te Aponga Uira 28 Proprietary Economic Viability Report 19 September 2012
Figure 4-5: Benefit Cost Results by Scenario Benefit Cost Results by Scenario 350 300 250 200 Million $NZ Benefits 150 Expenditures 100 50 - 50% renewables 100% renew w/ 100% renew w/ Renewables and Renewables and Recommended biodiesel storage LS Storage Mix with Storage Mix without Scenario Biodiesel Biodiesel Figure 4-6 shows the net present value benefits and expenditures. The figure shows that all net benefits and costs are smaller, due to the effect of the interest rate. However, there is no change in the order of cost effectiveness. The only sign of outcome (- or +) for the 100% Renewable scenario with storage for load shifting changes from positive to negative. Te Aponga Uira 29 Proprietary Economic Viability Report 19 September 2012
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