Skip to main content

Advertisement

Log in

CDM potential of SPV lighting systems in India

  • Original Paper
  • Published:
Mitigation and Adaptation Strategies for Global Change Aims and scope Submit manuscript

Abstract

In view of the increasing interest in the development and dissemination of technologies for harnessing new and renewable sources of energy in India, there have also been some efforts towards their use in the domestic lighting sector. However, the cumulative number of Solar Photovoltaic (SPV) lighting systems such as SPV lanterns and solar home lighting systems in India is far below their theoretical potential despite government subsidy programmes. One of the major barriers is the high capital investment in these systems. The Clean Development Mechanism (CDM) provides industrialized countries with an incentive to invest in emission reduction projects in developing countries to achieve a reduction in CO2 emissions at lowest cost that also promotes sustainable development in the host country. SPV lanterns and solar home lighting systems could be of interest under the CDM because they directly displace greenhouse gas emissions while contributing to sustainable rural development. However, only two SPV projects have been submitted under the CDM so far. This study assesses the maximum theoretical as well as the realistically achievable CDM potential of SPV lanterns and solar home lighting systems in India. The SPV lantern project is financially viable at a certified emissions reductions (CER) price of 34 € whereas the solar home lighting project is financially viable at a CER price of 46 €. While the maximum mitigation volume is about 35 million tonne CO2 on an annual basis, an estimate of achievable CER levels is done using the past diffusion trends of SPV systems. We find that annual CER volumes could reach 0.8 to 2.4 million by 2012 and 5.6 to 13.6 million by 2020. This would require that the government sets the subsidy level for SPV lighting systems at a level that allows them to become viable with the CER revenue. From a macro-economic point of view this makes sense if the sustainability benefits are deemed sufficiently high to warrant promotion of this type of project.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. The quantification of climate benefits of a project—i.e. the mitigation of GHG-emissions—is done by means of a “baseline”. A baseline describes the (theoretical) emissions that would have occurred in case the CDM project was not implemented. The amount of CERs that can be earned by the project are then calculated as the difference of baseline emissions and project emissions.

  2. It may be noted that these systems could not be used for meeting the energy requirements of refrigerator, air conditioning, water heating etc.

  3. This does not take into account the relation between SPV lighting system cost and CER price.

  4. Since the year 2002, the Indian economy has grown at a rate of around 5.9% (MOF 2004; CMIE 2003). Thus a 6% growth rate is a realistic assumption for future economic growth in India. An alternative optimistic scenario is also assumed. Here the growth rate is taken to be at 8% to be in line with the vision of the policymakers.

References

  • Acker RH, Kammen DM (1996) The quiet (energy) revolution: analysing the dissemination of photovoltaic power systems in Kenya. Energy Policy 24(1):81–111

    Article  Google Scholar 

  • ADB (1998) Asia least-cost greenhouse gas abatement strategy: India. Asian Development Bank, Manila

    Google Scholar 

  • Ang BW, Ng TT (1992) The use of growth curves in energy studies. Energy 17(1):25–36

    Article  Google Scholar 

  • Babu NYD, Michaelowa A (2003) Removing barriers for renewable energy CDM projects in India and building capacity at the state level. Hamburg Institute of International Economics (HWWA) Report No. 237

  • Bhargava B (2001) Overview of photovoltaic technologies in India. Solar Energy Mater Solar Cells 67:639–646

    Article  Google Scholar 

  • Bhattacharyya SC (2006) Energy access problem of the poor in India: Is rural electrification a remedy? Energy Policy 34(18):3387–3397

    Google Scholar 

  • Bode S, Michaelowa A (2003) Avoiding perverse effects of baseline and investment additionality determination in the case of renewable energy projects. Energy Policy 31(6):505–517

    Google Scholar 

  • Chaurey A, Ranganathan M., Mohanty P (2004) Electricity access for geographically disadvantaged rural communities-technology and policy insights. Energy Policy 32(15):1693–1705

    Article  Google Scholar 

  • CMIE (2003) Energy. Economic intelligence service. Centre for Monitoring Indian Economy, Mumbai

    Google Scholar 

  • Dyson T, Cassen R, Visaria L (2004) Twenty-first century India-population, economy, human development, and the environment. Oxford University Press, UK

    Google Scholar 

  • Haas R (1995) The value of photovoltaic electricity for society. Solar Energy 54(1):25–31

    Article  Google Scholar 

  • Haripriya G, Köhlin G (2003) What do we know about the fuelwood scenario in India? In Köhlin G (ed) Fuelwood-crisis or balance? Proceedings from workshop at Göteborg University, Göteborg

  • Harmon C (2000) Experience Curves of Photovoltaic Technology, Report No. IR-00-014, International Institute for Applied Systems Analysis, Austria

  • IEA (2000) Experience curves for energy technology policy. International Energy Agency, Paris

    Google Scholar 

  • IEA (2002) Electricity in India: Providing Power for the Millions. International Energy Agency, Paris

    Google Scholar 

  • Islam MN, Haque MM (1994) Technology, planning and control, Dhaka. World University Service Press

  • Jog S, Roychowdhury I (2005) A windfall of energy. The Financial Express, Saturday, November 19, 2005

  • Kandpal TC, Garg HP (2003) Financial evaluation of renewable energy technologies. New Delhi, Macmillan India Ltd

    Google Scholar 

  • Mani A, Rangarajan S (1982) Solar radiation over India, New Delhi, Allied Publishers Private Limited

    Google Scholar 

  • Martino JP (2003) A review of selected recent advances in technological forecasting. Technological Forecasting and Social Change 70:719–733

    Article  Google Scholar 

  • Martinot E, Cabraal A, Mathur S (2000) World Bank/GEF solar home systems projects: experiences and lessons learned 1993–2000. World Bank, Washington, DC

  • Martinot E, Cabraal A, Mathur S (2001) World Bank/GEF solar home systems projects: experiences and lessons learned 1993–2000. Renewable and Sustainable Energy Reviews 5(1):39–57

    Article  Google Scholar 

  • Michaelowa A, Stronzik M, Eckermann F, Hunt A (2003) Transaction costs of the Kyoto Mechanisms. Climate Policy 3(3):261–278

    Article  Google Scholar 

  • Michaelowa A, Jotzo F (2005) Transaction costs, institutional rigidities and the size of the clean development mechanism. Energy Policy 33(4):511–523

    Article  Google Scholar 

  • Miller D, Hope C (2000) Learning to lend for off-grid solar power: policy lessons from World Bank loans to India, Indonesia, and Sri Lanka, Energy Policy 28:87–105

    Article  Google Scholar 

  • MNES (2003) Annual Report: 2002–2003, Ministry of Non-Conventional Energy Sources (MNES), Government of India, CGO Complex, Lodhi Road, New Delhi

    Google Scholar 

  • MNES (2005) Annual Report: 2004–2005, Ministry of Non-Conventional Energy Sources (MNES), Government of India, CGO Complex, Lodhi Road, New Delhi

    Google Scholar 

  • Modi V (2005) Improving Electricity Services in Rural India, CGSD Working Paper No. 30, Center on Globalization and Sustainable Development (CGSD). The Earth Institute at Columbia University, USA

  • MOF (2004) Economic Survey: 2003–2004, Ministry of Finance, Government of India, New Delhi

    Google Scholar 

  • Oliver M, Jackson T (1999) The market for solar photovoltaics. Energy Policy 27:371–385

    Article  Google Scholar 

  • Parikh J, Parikh K, Karmakar S, Purohit P (2005) Impact of fuel scarcity and pollution on rural poor: a case study of Himachal Pradesh. Integrated Research and Action for Development (IRADe), New Delhi

  • Purohit P, Kumar A, Rana S, Kandpal TC (2002a) Using renewable energy technologies for domestic cooking in India: a methodology for potential estimation. Renewable Energy 26(2):235–246

    Article  Google Scholar 

  • Purohit P, Kumar A, Kandpal TC 2002b Potential of CO2 emissions mitigation using renewable energy technologies for domestic cooking in India. Int J Ambient Energy 23(3):127–135

    Google Scholar 

  • Purohit P, Kandpal TC (2005b) Renewable energy technologies for irrigation water pumping in India: projected levels of dissemination, energy delivery and investment requirements using available diffusion models. Renewable Sustainable Energy Rev 9(6):592–607

    Article  Google Scholar 

  • Purohit P, Kandpal TC (2005a) Solar photovoltaic pumping in India: a financial evaluation. Int J Ambient Energy 26(3):135–146

    Google Scholar 

  • Purohit P, Michaelowa A (2005) CDM potential of SPV pumps in India, HWWI Discussion Paper No. 4. Hamburg Institute of International Economics, Hamburg

  • Rogers EM (1995) Diffusion of innovations. New York, Free Press

    Google Scholar 

  • Rubab S, Kandpal TC (1996) Financial evaluation of SPV lanterns for rural lighting in India. Solar Energy Materials and Solar Cells 44(3):261–270

    Article  Google Scholar 

  • TERI (1998) Field Testing of Improved Kerosene Lighting Devices, Report No. 1998RE61. Tata Energy Research Institute (TERI), New Delhi (www.teriin.org)

  • UCCEE (2001) Barriers to the diffusion of renewable energy technologies in Maharashtra, Roskilde

  • UNFCCC (2002) Decision 17/CP.7, Report of the Conference of Parties on its Seventh Session, Marrakesh. (http://unfccc.int/resource/docs/cop7/13a02.pdf)

  • UNFCCC (2005) Indicative simplified baseline and monitoring methodologies for selected small-scale project activity categories, Appendix B of the simplified modalities and procedures for small-scale CDM project activities, Version 6, 30 September, Bonn

  • Velayudhan SK (2003) Dissemination of solar photovoltaics: a study on the government programme to promote solar lantern in India. Energy Policy 31(14):1509–1518

    Article  Google Scholar 

  • Wamukonya N (2007) Solar home system electrification as a viable technology option for Africa’s development. Energy Policy 35(1):6–14

    Article  Google Scholar 

Download references

Acknowledgements

The financial assistance provided by the e7 Network to Pallav Purohit is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pallav Purohit.

Appendix I

Appendix I

Figure 9 presents the time variation of GDP per capital in India and China. For the future projection, the data on population has been taken from the data sets of Central Statistical Organization (CSO) for the year 1980–1981 to 2000–2001. The data for the year 2001–2002, 2006–2007, 2011–2012, and 2016–2017 has been taken from Dyson et al. (2004). The data between the above years has been interpolated. Table 13 presents the projections of GDP per capita in the low growth scenario (GDP to grow at a rate of 6% per annum) and high growth scenario respectively (GDP to grow at a rate of 8% per annum).Footnote 4

Fig. 9
figure 9

Time variation of GDP per capita in India and China. Source (http://www.econstats.com/weo/V015.htm)

With the inherent assumption that India will follow the development path of China (at present china is 95% electrified with a GDP per capita of 1554 US$), the results shows that India can achieve the current GDP per capita of China in the year 2022–2023 (in the low growth scenario) and 2018–2019 (in the high growth scenario) respectively. Therefore, it is assumed that India can achieve the 100% electrification in the year 2019 whereas the Indian government aims to achieve 100% village electrification by 2007 and 100% household electrification by 2012 (www. powermin.nic.in; www.bharatnirman.gov.in).

  Table 13 Projection of GDP per capita in different growth scenario

Rights and permissions

Reprints and permissions

About this article

Cite this article

Purohit, P., Michaelowa, A. CDM potential of SPV lighting systems in India. Mitig Adapt Strat Glob Change 13, 23–46 (2008). https://doi.org/10.1007/s11027-006-9078-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11027-006-9078-x

Keywords

Navigation