U.S. market for solar photovoltaic plug-and-play systems

Renewable Energy

Volumn 103, Issue , 2017, Pages 255-264

  Mundada, Aishwarya S ^a   Prehoda, Emily W ^b   Pearce, Joshua M ^a  

^a Michigan Technological University   (United States)

^b MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

Author keywords

Distributed generation; Electricity market; Levelized cost of electricity; Photovoltaic; Plug and play solar; Prosumer

Indexed keywords

COMMERCE; COSTS; DECISION MAKING; DISTRIBUTED POWER GENERATION; ELECTRIC POWER GENERATION; POWER MARKETS; SALES; SOLAR CONCENTRATORS; SOLAR ENERGY;

INDUSTRIALIZED NATIONS; LEVELIZED COST OF ELECTRICITIES; PHOTOVOLTAIC; PLUG AND PLAY; PLUG-AND-PLAY SYSTEMS; PROSUMER; SOLAR ELECTRIC SYSTEMS; SOLAR PHOTOVOLTAIC SYSTEM;

SOLAR POWER GENERATION;

EID: 84998705849     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2016.11.034     Document Type: Article

References (114)

1. [1] Riffkin, R., U.S. Support for Nuclear Energy at 51%. Gallup 2015. 2015 Available at: http://www.gallup.com/poll/182180/support-nuclear-energy.aspx (Accessed 18 December 2015).
2. [2] SEIA (Solar Energy Industries Association), Polling Data: Support for Solar. 2015 Available at: http://www.seia.org/research-resources/polling-data-support-solar (Accessed 18 December 2015).
3. [3] Shahan, Z., Important votes in U.S. Senate for wind & solar energy (take action). Clean. Tech., 2012 Available at: http://cleantechnica.com/2012/03/09/important-votes-in-u-s-senate-for-wind-solar-energy-take-action/ (Accessed 18 December 2015).
4. [4] Pearce, J., Photovoltaics — a path to sustainable futures. Futures 34:7 (2002), 663–674, 10.1016/S0016–3287(02)00008-3.
5. [5] Alafita, T., Pearce, J.M., Securitization of residential solar photovoltaic assets: costs, risks and uncertainty. Energy Policy 67 (2014), 488–498, 10.1016/j.enpol.2013.12.045.
6. [6] Beck, F., Martinot, E., Renewable energy policies and barriers. Encycl. Energy 5 (2004), 365–383, 10.1016/B0-12-176480-X/00488-5.
7. [7] Branker, K., Shackles, E., Pearce, J.M., Peer-to-peer financing mechanisms to accelerate renewable energy deployment. J. Sustain. Finance Invest. 1:2 (2011), 138–155, 10.1080/20430795.2011.582325.
8. [8] IFC (International Finance Corporation), Solar Development Capital: Lessons Learned in Financing Solar Home Systems, vol. 13, 2007, International Finance Corporation Available at: http://www.ifc.org/wps/wcm/connect/topics_ext_content/ifc_external_corporate_site/ifc+sustainability/learning+and+adapting/knowledge+products/publications/publications_loe_solardevcapital__wci__1319577241990 (Accessed 18 December 2015).
9. [9] Pietruszko, S.M., Feed-in-tariff: the most successful support programme. Photovoltaic Energy Conversion, Conference Record of the 2006 IEEE 4th World Conference on, vol. 2, 2006, 2524–3252, 10.1109/WCPEC.2006.279742.
10. [10] Wilkins, G., Technology Transfer for Renewable Energy: Overcoming Barriers in Developing Countries. 2002, Earth Scan Publication Ltd, London.
11. [11] Kann, S., Shiao, M.J., Honeyman, C., Litvak, N., Jones, J., Cooper, L., Kimbis, T., Baca, J., Rumery, S., Holm, A., U.S. Solar Market Insight Report| Q3 2015| Executive Summary., 2015, U.S. Solar Energy Industry Association (SEIA) and Greentech Media Company (GTM) Research.
12. [12] Kann, S., Shiao, M.J., Honeyman, C., Litvak, N., Jones, J., Cooper, L., Kimbis, T., Baca, J., Rumery, S., Holm, A., U.S. Solar Market Insight Report| Q2 2012| Executive Summary. U.S. Solar Energy., 2012.
13. [13] Kann, S., Shiao, M.J., Honeyman, C., Litvak, N., Jones, J., Cooper, L., Kimbis, T., Baca, J., Rumery, S., Holm, A., U.S. Solar Market Insight Report | 2014 Year in Review | Executive Summary., 2015, GTM (Greentech Media Energy) Research and SEIA (Solar Energy Industries Association).
14. [14] Taylor, M., Daniel, K., IIas, A., So, E.Y., Renewable Power Generation Costs in 2014. 2015, International Renewable Energy Agency (IRENA).
15. [15] IRENA(International Renewable Energy Agency), Renewable Power Costs Plummet: Many Sources Now Cheaper than Fossil Fuels Worldwide. 2015 Available at: http://www.irena.org/News/Description.aspxNType=A&mnu=cat&PriMenuID=16&CatID=84&News_ID=386.
16. [16] IEA (International Energy Agency), World Energy Outlook 2014- Executive Summary, 2014. 2014.
17. [17] Payne, S., Dutzik, T., Figdor, E., The High Cost of Fossil Fuels Why America Can't Afford to Depend on Dirty Energy. 2009, Environment America Research & Policy Center.
18. [18] WNA (World Nuclear Association), Renewable Energy and electricity. 2016 Available at: http://www.world-nuclear.org/info/energy-and-environment/renewable-energy-and-electricity/.
19. [19] Cooper, M., Rosin, C., Absolving the sins of emission: the politics of regulating agricultural greenhouse gas emission in New Zealand. Rural. Stud. 36 (2014), 391–400, 10.1016/j.jrurstud.2014.06.008.
20. [20] Heidari, N., Pearce, J.M., A review of greenhouse gas emission liabilities as the value of renewable energy for mitigating lawsuits for climate change related damages. Renew. Sustain. Energy Rev. 55C (2016), 899–908 http://dx.doi.org/10.1016/j.rser.2015.11.025.
21. [21] Short, M., Peters, G., Peirson, W., Ashbolt, N., Marine nitrous oxide emissions: an unknown liability for the international water sector. Environ. Sci. Policy 2013:33 (2013), 209–211, 10.1016/j.envsci.2013.06.003.
22. [22] Barbose, G., Darghouth, N.R., Weaver, S., Feldman, D., Margolis, R., Wiser, R., Tracking US photovoltaic system prices 1998–2012: a rapidly changing market. Prog. Photovolt. Res. Appl. 23 (2015), 692–704, 10.1002/pip.2482.
23. [23] Candelise, C., Winskel, M., Gross, R.J.K., The dynamics of solar PV costs and prices as a challenge for technology forecasting. Renew. Sustain. Energy Rev. 26 (2013), 96–107, 10.1016/j.rser.2013.05.012.
24. [24] McDonald, A., Schrattenholzer, L., Learning rates for energy technologies. Energy policy 29 (2001), 255–261, 10.1016/S0301-4215(00)00122-1.
25. [25] Nemet, G.F., Beyond the learning curve: factors influencing cost reductions in photovoltaics. Energy Policy 34 (2006), 3218–3232, 10.1016/j.enpol.2005.06.020.
26. [26] Parkinson, G., Solar Costs to Halve as Gas Prices Surge. 2014, GreenTechMedia (GTM) Available at: http://www.greentechmedia.com/articles/read/solar-costs-to-halve-as-gas-prices-surge.
27. [27] Rubin, E.S., Azevedo, I.M.L., Jaramillo, P., Yeh, S., A review of learning rates for electricity supply technologies. Energy Policy 86 (2015), 198–218, 10.1016/j.enpol.2015.06.011.
28. [28] Van der Zwaan, B., Rabl, A., Prospects for PV: a learning curve analysis. Sol. Energy 74 (2003), 19–31, 10.1016/S0038-092X(03)00112-9.
29. [29] Watanabe, C., Nagamatsu, A., Griffy-Brown, C., Behavior of technology in reducing prices of innovative goods—an analysis of the governing factors of variance of PV module prices. Technovation 23 (2003), 423–436, 10.1016/S0166-4972(01)00121-3.
30. [30] Zhang, H.L., Van Gerven, T., Baeyens, J., Degrève, J., Photovoltaics: reviewing the European feed-in-tariffs and changing PV efficiencies and costs. Sci. World J., 2014, 10.1155/2014/404913 Article ID 404913.
31. [31] Branker, K., Pathak, M.J.M., Pearce, J.M., A review of solar photovoltaic levelized cost of electricity. Renew. Sustain. Energy Rev. 15 (2011), 4470–4482, 10.1016/j.rser.2011.07.104.
32. [32] Christian, B., Gerlach, A., Global overview on grid-parity. Prog. Photovolt. Res. Appl. 21 (2013), 121–136, 10.1002/pip.1254.
33. [33] Stefan, R., Yorston, M., The prospects for cost competitive solar PV power. Energy Policy 55 (2013), 117–127, 10.1016/j.enpol.2012.11.003.
34. [34] EIA (U.S. Energy Information Administration), Net Generation by Energy Resources: Total (All Sectors). 2015, U.S. Energy Information Administration (EIA) 2015 Available at: http://www.eia.gov/electricity/monthly/epm_table_grapher.cfm?t=epmt_1_1 (Accessed 18 December 2015).
35. [35] EIA (U.S. Energy Information Administration), Net Generation from Renewable Sources: Total (All Sectors), 2005. 2015, U.S. Energy Information Administration (EIA) 2015 Available at: http://www.eia.gov/electricity/monthly/epm_table_grapher.cfm?t=epmt_1_1_a (Accessed 18 December 2015).
36. [36] Poppick, S., America's Total Net Worth Just Hit a Record High. American and Their Money. 2015 Available at: http://time.com/money/3919690/americans-total-net-worth-record/.
37. [37] Wolff, E.N., The Asset Price Meltdown and the Wealth of the Middle Class. 2012, National Bureau of Economic Research Working Paper No. 18559.
38. [38] Lubin, G., 21 Charts on Business Inequalities that Everyone Should See, Business Insider 2013. 2013 Available at: http://www.businessinsider.com/charts-on-us-inequality-2013-11 (Accessed 18 December 2015).
39. [39] ECD (Esource Customer Direct), A Homeowners's Guide to Solar Electric Systems. Esource Customer Direct, South Maryland Electric Cooperative. 2008.
40. [40] Mundada, A.S., Nilsiam, Y., Pearce, J.M., A review of technical requirements for plug-and-play solar photovoltaic microinverter systems in the United States. Sol. Energy 135 (2016), 455–470, 10.1016/j.solener.2016.06.002.
41. [41] Kennect, Grid Tie Solar Plug and Play in the US. 2012 Available at: http://ken-nect.blogspot.com/2012/03/grid-tie-solar-plug-and-play-in-us.html (Accessed 18 December 2015).
42. [42] Solar Power Station (SPS). Available at: http://solar-power-station.co.uk/(Accessed 18 December 2015).
43. [43] Movellan, J., Plug-and-Play Solar Systems: Automating the Permitting, Inspection and Interconnection Processes. 2014.
44. [44] Mundada, A., Shah, K., Pearce, J.M., Levelized cost of electricity for solar photovoltaic, battery and cogen hybrid systems. Renew. Sustain. Energy Rev. 57 (2016), 692–703, 10.1016/j.rser.2015.12.084.
45. [45] Cambell, M., The Drivers of the Levelized Cost of Electricity for Utility-scale Photovoltaics. SunPower. 2008.
46. [46] Darling, S.B., You, F., Veselka, T., Velosa, A., Assumptions and the levelized cost of energy for photovoltaics. Energy Environ. Sci., 2011, 7 (Advance Article).
47. [47] Grana, P., Demystifying LCOE. RenewableEnergyWorld.Com. 2010 Available at: http://www.renewableenergyworld.com/rea/blog/post/2010/08/demystifyinglcoe.
48. [48] Short, W., Packey, D.J., Holt, T., A Manual for the Economic Evaluation of Energy Efficiency and Renewable Energy Technologies. 1995, National Renewable Energy Laboratory NREL/TP-462–5173. March 1995.
49. [49] Velosa, A. III, What is inside LCOE Assumptions? Semi PV. 2010.
50. [50] NREL (National Renewable Energy Laboratory), Annual Direct Normal Solar Radiation 8 Years Mean Value (1998-2005)-SUNY 10km Satellite Mode. 2007.
51. [51] Barbose, G., Darghouth, N.R., Wiser, R.H., Tracking the Sun III, the Installed Cost of Photovoltaics in the U.S. From 1998–2009. 2010, US Department of Energy, Lawrence Berkley National Laboratory; 2010, 1–54.
52. [52] Feldman, D., Barbose, G., Margolis, R., James, T., Weaver, S., Darghouth, N., Fu, R., Davidson, C., Booth, S., Wiser, R., Photovoltaic System Pricing Trends -Historical, Recent, and Near-term Projections 2014 Edition. 2014, SunShot-U.S. Department of Energy.
53. [53] BNEF (Bloomberg New Energy Finance), US Solar Outlook (Presentation). 2013, Department of Defense Analyst Briefing.
54. [54] Kann, S., Shiao, M.J., Honeyman, C., Litvak, N., Jones, J., Cooper, L., Kimbis, T., Baca, J., Rumery, S., Holm, A., U.S. Solar Market Insight Report| Q1 2014| Executive Summary., 2014, GTM (Greentech Media Energy) Research and SEIA (Solar Energy Industries Association).
55. [55] Davidson, C., James, T.L., Margolis, R., Fu, R., Feldman, D., U.S. Residential Photovoltaic (PV) System Prices, Q4 2013 Benchmarks: Cash Purchase, Fair Market Value, and Prepaid Lease Transaction Prices. 2014, National Renewable Energy Laboratory (NREL).
56. [56] Kann, S., Shiao, M.J., Honeyman, C., Litvak, N., Jones, J., Cooper, L., Kimbis, T., Baca, J., Rumery, S., Holm, A., U.S. Solar Market Insight Report Q1 2015 | Executive Summary., 2015, GTM (Greentech Media Energy) Research and SEIA (Solar Energy Industries Association).
57. [57] Sunvia, 2016. Available at: http://sunelec.com/.
58. [58] Jordan, D., Kurtz, S., Photovoltaic Degradation Rates — An Analytical Review. 2012, NREL (National Renewable Energy Laboratory).
59. [59] Jiang, H., Lu, L., Sun, K., Experimental investigation of the impact of airborne dust deposition on the performance of solar photovoltaic (PV) modules. Atmos. Environ. 45:25 (2011), 4299–4304.
60. [60] Osterwald, C.R., Anderberg, A., Rummel, S., Ottoson, L., Degradation Analysis of Weathered Crystalline-Silicon PV Modules. 2002, IEEE (Instititute of Electrical and Electronics Engineering).
61. [61] Pingel, S., Frank, O., Winkler, M., Oaryan, S., Geipel, T., Hoehne, H., Berghold, J., Potential Induced Degradation of Solar Cells and Panels. 2010, IEEE (Institute of Electrical and Electronics Engineering).
62. [62] Belluardo, G., Ingenhoven, P., Moser, D., Medium Term Degradation of Different Photovoltaic Technologies Under Outdoor Conditions in Alpine Area. Solar Photovoltaics. 2013, EURAC Research (European Academy of Bozen/Bolzano), Italy.
63. [63] Jordan, D.C., Smith, R.M., Osterwald, C.R., Gelak, E., Kurtz, S.R., Outdoor PV Degradation Comparison. 2011, NREL (National renewable Energy Laboratory) NREL.
64. [64] Czanderna, A.W., Jorgensen, G.J., Accelerated Life Testing and Service Lifetime Prediction for PV Technologies in the Twenty-first Century. 1999, National Renewable Energy Laboratory (NREL), Golden, CO, 1–13.
65. [65] Dunlop, E., Halton, D., Ossenbrink, H., 20 years of life and more: where is the end of life of a PV module?. Proceedings of IEEE (Instititute of Electrical and Electronics Engineering) Photovoltaic Specialists Conference, 2005, 1593–1596.
66. [66] Holladay, M. Testing a Thirty-Year-Old Photovoltaic Module—It's Time to Hook Upmy Oldest Solar Panel to a Multimeter, Green Building Advisor.com. Available at:: < http://www.greenbuildingadvisor.com/blogs/dept/musings/testing-thirtyyear- old-photovoltaic-module> (Accessed 21 May 2010).
67. [67] Realini, A., MTBF – PVm, Mean Time before Failure of Photovoltaic Modules, Final Report., 2003, 1–58.
68. [68] Skoczek, A., Sample, T., Dunlop, E.D., The results of performance measurements of field-aged crystalline silicon photovoltaic modules. Prog. Photovolt. Res. Appl. 17 (2009), 227–240.
69. [69] Harrabin, R., Solar Panel Costs ‘Set to Fall’, BBC News. 2009 Available at: http://news.bbc.co.uk/2/hi/science/nature/8386460.stm.
70. [70] Brearley, D., c-Si photovoltaic trends: design, purchasing and 2009 specs. Sol. Pro. Mag., June/July 2009, 49–74.
71. [71] Wohlgemuth, J.H., Long term photovoltaic module reliability. NCPV and Solar Program Review Meeting 2003, 2003, NREL (National Research Energy Laboratory), 179–183.
72. [72] Nahi, P., Reliability of Enphase Micro-inverters. Enphase Energy, Version 1. 2009.
73. [73] Chilicon Power-CP250; Available at: http://www.chiliconpower.com/cp-250.
74. [74] Solar Panel Plus- MI-250-240A. Available at: http://www.solarpanelsplus.com/pdfs/Micro-inverter/MI250-240A.pdf.
75. [75] Enphase-M215; Available at: http://www.enphase.com/sites/default/files/M215_DS_EN_60Hz.pdf.
76. [76] Siemens Microinverter Model SMIINV215R60XX; Available at: http://www.downloads.siemens.com/download-center/Download.aspxpos=download&fct=getasset&id1=BTLV_41754.
77. [77] Campbell, M., Blunden, J., Smeloff, E., Aschenbrenner, P., Minimizing Utility-scale PV Power Plant Levelized Cost of Energy Using High Capacity Factor Configurations. Photovoltaic Specialists Conference (PVSC). 2009, 34th. IEEE (Instititute of Electrical and Electronics Engineering).
78. [78] Hossein, S., Madaeni, R.S., Denholm, S., Comparison of Capacity Value Methods for Photovoltaics in the Western United States. 2012, National Renewable Energy Laboratory (NREL).
79. [79] NREL (National Renewable Energy Laboratory), Solar Energy and Capacity Value- Fact Sheet. 2013.
80. [80] Alternate Energy Sources, 2016 Available at: http://www.bigfrogmountain.com/SunHoursPerDay.html.
81. [81] Solar Direct, Solar Electric System sizing-determine the Sun Hours Per Day Available. 2016 Available at: http://www.solardirect.com/pv/systems/gts/gts-sizing-sun-hours.html.
82. [82] OMB (Office of Management and Budget), Circular A-94: Guidelines and Discount Rates for Benefit-Cost Analysis of Federal Programs. 1992.
83. [83] OMB (Office of Management and Budget), Circular A-94: Guidelines and Discount Rates for Benefit-Cost Analysis of Federal Programs. 2003.
84. [84] Treasury (U.S. Department of Treasury), Daily Treasury Real Long-term Rates. 2015 Available at: https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=reallongtermrateYear&year=2015.
85. [85] Andersen, S., Glenn, Morton, L., Ruström, E., Elicitation using multiple price list formats. Exp. Econ. 9 (2006), 383–405, 10.1007/s10683-006-7055-6.
86. [86] Dermot, G., Individual discount rates and the purchase and utilization of energy using durables: comment. Bell J. Econ. 1980:11 (1980), 373–374, 10.2307/3003422.
87. [87] Hausman, J., Individual discount rates and the purchase and utilization of energy-using durables. Bell J. Econ. 10 (1979), 33–54.
88. [88] Ruderman, H., Levine, M., McMahon, J., The behavior of the market for energy efficiency in residential appliances including heating and cooling equipment. Energy J. 1987:8 (1987), 101–124.
89. [89] Newell, R.G., Siikamäki, J.V., Individual Time Preferences Energy Efficiency. American Economic Review, vol. 105(5), 2015, American Economic Association, 196–200, 10.1257/aer.p20151010.
90. [90] Frederick, S.W., Meyer, A.B., Mochon, D., Characterizing perceptions of energy consumption. Proc. Natl. Acad. Sci. U. S. A., 108(8), 2011 p. E23.
91. [91] Miller, S.E., One discount rate fits all? The regressive effects of DOE's energy efficiency rule. Policy Perspect., 22, 2015.
92. [92] Fitzpatrick, C., US 50 States + DC Shapefile. ArcGis Database. 2012 Feb 1 Available from: https://www.arcgis.com/home/item.html?id=f7f805eb65eb4ab787a0a3e1116ca7e5.
93. [93] U.S. Energy Administration, State Electricity Profiles. 2016 http://www.eia.gov/electricity/state/.
94. [94] NMCH (National Multi-Family Housing Council), Resident Demographics. NMHC Tabulations of 2014 American Community Survey Microdata. Updated 9/2015. Note: Does Not Include Non-housing Units. 2014 https://nmhc.org/Content.aspx?id=4708.
95. [95] Kavousian, A., Rajagopal, R., Fischer, M., “Determinants of residential electricity consumption: using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior. Energy 55:15 (2013), 184–194.
96. [96] Noss, A., Household Income: 2013. 2014, US Census Bureau http://www.census.gov/content/dam/Census/library/publications/2014/acs/acsbr13-02.pdf.
97. [97] Hachem, C., Fazio, P., Athienitis, A., Solar optimized residential neighborhoods: evaluation and design methodology. Sol. Energy 95 (2013), 42–64.
98. [98] Wiginton, L.K., Nguyen, H.T., Pearce, J.M., Quantifying rooftop solar photovoltaic potential for regional renewable energy policy. Comput. Environ. Urban Syst. 34:4 (2010), 345–357.
99. [99] Norton, B., Eames, P., Mallick, T., Jun Huang, M., McCormack, S., Mondol, J., Yohanis, Y., Enhancing the performance of building integrated photovoltaics. Sol. Energy 85:8 (2011), 1629–1664.
100. [100] U.S. Census, 2015a. https://www.census.gov/hhes/families/data/households.html.
101. [101] U.S. Census Bureau, Population Division, Table 1. Annual Estimates of the Resident Population for the United States, Regions, States, and Puerto Rico. 2015 April 1, 2010 to July 1, 2015 (NST-EST2015–01).
102. [102] EIA (U.S. Energy Information Administration), Electric Power Monthly. 2015 Available at: https://www.eia.gov/electricity/monthly/epm_table_grapher.cfm?t=epmt_5_6_a.
103. [103] Kann, S., Shiao, M.J., Honeyman, C., Litvak, N., Jones, J., Cooper, L., Kimbis, T., Baca, J., Rumery, S., Holm, A., U.S. Solar Market Insight Report| Q4 2015| Executive Summary., 2015, U.S. Solar Energy Industry Association (SEIA) and Greentech Media Company (GTM) Research.
104. [104] NSJC (National Solar Job Census), The National Solar Job Census Report., 2015, The Solar Foundation.
105. [105] Liang, J., Gong, J., Li, W., Ibrahim, A.N., A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D–2D surface mapping. Int. J. Geogr. Inf. Sci. 28:4 (2014), 780–798.
106. [106] Nguyen, H.T., Pearce, J.M., Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale. Sol. Energy 86:5 (2012), 1245–1260, 10.1016/j.solener.2012.01.017.
107. [107] Nguyen, H.T., Pearce, J.M., Harrap, R., Barber, G., The application of LiDAR to assessment of rooftop solar photovoltaic deployment potential in a municipal district unit. Sensors 12:4 (2012), 4534–4558, 10.3390/s120404534.
108. [108] Amillo, A.G., Huld, T., Müller, R., A new database of global and direct solar radiation using the eastern meteosat satellite, models and validation. Remote Sens. 6:9 (2014), 8165–8189.
109. [109] Zhang, H.L., Baeyens, J., Degrève, J., Cacères, G., Concentrated solar power plants: review and design methodology. Renew. Sustain. Energy Rev. 22 (2013), 466–481.
110. [110] Pearce, J.M., Denkenberger, D., Zielonka, H., Accelerating applied sustainability by utilizing return on investment for energy conservation measures. Int. J. Energy, Environ. Econ., 17(1), 2009, 61.
111. [111] Newell, R., Pizer, W., Discounting the Benefits of Climate Change Mitigation: How Much Do Uncertain Rates Increase Valuation? Economics Technical Series. 2001, Pew Center on Global Climate Change, Arlington, VA.
112. [112] Hastings, J.S., Madrian, B.C., Skimmyhorn, W.L., Financial Literacy, Financial Education and Ecomic Outcomes, 5, 2013, National Institute of Health, Public access, Annu Rev Econom, 347–373, 10.1146/annurev-economics-082312-125807.
113. [113] Lusardi, A., Financial Literacy: An Essential Tool for Informed Consumer Choice?. 2008, National Bureau of Economic Research.
114. [114] Willis, L.E., Evidence and Ideology in Assessing the Effectiveness of Financial Literacy Education. Faculty Scholarship. 2008 Paper 197.