Current Science

Open Access Open Access  Restricted Access Subscription Access

Policy-Driven Approach to Demand Management from Space Cooling and Water Heating Appliances: Insights from a Primary Survey of Urban Bengaluru, India


Affiliations
1 National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru 560 012, India
2 Divecha Centre for Climate Change, Indian Institute for Science, Bengaluru 560 012, India
3 Group Data and Analytics Cell, Aditya Birla Group, Bengaluru 560 064, India
 

Appliances that provide thermal comfort services like space cooling and water heating have high energy demands and significant seasonal variation in usage. Ownership and usage of these appliances increase rapidly with income. Given the significant impact of these appliances on electricity demand, it is key to analyse their ownership and usage. A well-designed policy and standards framework can help transition households as well as manufacturers towards a higher efficiency ecosystem, and significantly lower electricity demand growth rates. In this study, we analyse ownership and usage patterns of these appliances using data from a primary survey of Bengaluru, India. We suggest some passive demand-side management frameworks based on current policies implemented for these appliance categories.

Keywords

Ownership and Usage Patterns, Primary Survey, Residential Electricity Demand, Space Cooling, Water Heating.
User
Notifications
Font Size

  • Murthy, K. V. N. and Sumithra, G. D., End-uses of electricity in households of Karnataka state, India. Energy Sustain. Dev., 2001, 5(3), 81–94; https://doi.org/10.1016/S0973-0826(08)60278-1.

  • World Bank, Residential consumption of electricity in India. The World Bank, 2008, pp. 1–73; https://doi.org/http://www.moef.nic.in/downloads/public-information/Residentialpowerconsumption.pdf

  • Khosla R. and Chunekar, A. (eds), Plugging. In A Collection of Insights on Electricity Use in Indian Homes. Research Report, Centre for Policy Research, New Delhi and Prayas (Energy Group), Pune, 2017.

  • Narasimha Rao, M. and Reddy, B. S., Variations in energy use by Indian households: an analysis of micro level data. Energy, 2007, 32(2), 143–153; https://doi.org/10.1016/j.energy.2006.03.012.

  • Pachauri, S., An analysis of cross-sectional variations in total household energy requirements in India using micro survey data. Energy Policy, 2004, 32(15), 1723–1735; https://doi.org/ 10.1016/S0301-4215(03)00162-9.

  • Garg, A., Shukla, P. R., Maheshwari, J. and Upadhyay, J., An assessment of household electricity load curves and corresponding CO2 marginal abatement cost curves for Gujarat state, India. Energy Policy, 2014, 66, 568–584; https://doi.org/10.1016/j.enpol.2013.10.068.

  • Isaac, M. and Van Vuuren, D. P., Modeling global residential sector energy demand for heating and air conditioning in the context of climate change. Energy Policy, 2009, 37(2), 507–521.

  • Chunekar, A., Varshney, S. and Dixit, S., Residential electricity consumption in India: what do we know? Prayas (energy group), December 2016.

  • Electricity in Megacities, Prayas Energy Group, Pune, Prayas, 2012, pp. 1–33.

  • The Brookings Institution, ‘Global Metro Monitor’, Brookings; https://www.brookings.edu/wp-content/uploads/2015/01/bmpp_GMM_ final.pdf

  • Dukkipati, S., Iyer, R. K. and Sreenivas, A., An assessment of energy data management in India, Prayas Energy Group, Pune, October 2016.

  • Matsumoto, S., How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data. Energy Policy, 2016, 94, 214–223; https://doi.org/10.1016/j.enpol.2016.03.048.

  • Moser, C. and Felton, A., The construction of an asset index measuring asset accumulation in Ecuador, Chronic Poverty Research Centre, Working Paper No. 87, 21 July 2007; http://dx.doi.org/ 10.2139/ssrn.1646417.

  • Filmer, D. and Pritchett, L. H., Estimating wealth effects without expenditure data – or tears: an application to educational enrollments in states of India. Demography, 2001, 38(1), 115–132.

  • Challa, S. K., Chakravarty, S. and Joshi, K., Uploaded manuscript, SSRN, http://ssrn.com/abstract=3476549

  • Rathi, S. S., Chunekar, A. and Kadav, K., Appliance ownership in India: evidence from NSSO household expenditure surveys 2004– 05 and 2009–10. Prayas Energy Group, Pune, 2012.

  • van Ruijven, B. J., Energy and development: a modelling approach, Thesis, Utrecht University, The Netherlands, 2008.

  • Singh, D., Barve, A. and Sant, G., Ceiling fans: the overlooked appliance, Prayas Energy Group, Pune, 2010.

  • https://beeindia.gov.in/content/star-labelled-appliances 20. https://www.tatapower.com/media/PressReleaseDetails/30/Tata-PowerlaunchesSuper-Efficient-BLDC-Ceiling-Fan-program-for-the-consumersin-Mumbai

  • Rao, N. D. and Ummel, K., White goods for white people? Drivers of electric appliance growth in emerging economies. Energy Res. Soc. Sci., 2017, 27, 106–116.

  • https://www.iea.org/policiesandmeasures/pams/india/name-166389en.php

  • http://www.ujala.gov.in/

  • Phadke, A. A., Abhyankar, N. and Shah, N., Avoiding 100 new power plants by increasing efficiency of room air conditioners in India: opportunities and challenges. LBNL report LBNL-6674e, 2014.

  • Abhyankar, N., Shah, N., Park, W. Y. and Phadke, A. A., Accelerating energy efficiency improvements in room air conditioners in India: potential, costs-benefits, and policies. LBNL report, LBNL1005798, 2017.

  • Gupta, E., The effect of development on the climate sensitivity of electricity demand in India. Climate Change Econ., 2016, 7(02), 1650003.

  • http://www.indiaenvironmentportal.org.in/files/file/DRAFT-India%20Cooling%20Action%20Plan.pdf

  • https://aeee.in/thermal-comfort-for-all-project-with-lbnl/ 29. http://kredlinfo.in/EC/mandatory%20solar%20water%20heater.pdf 30. DES projections of Bengaluru population; https://des.kar.nic.in/docs/Projected%20Population%202012-2021.pdf


Abstract Views: 309

PDF Views: 141




  • Policy-Driven Approach to Demand Management from Space Cooling and Water Heating Appliances: Insights from a Primary Survey of Urban Bengaluru, India

Abstract Views: 309  |  PDF Views: 141

Authors

Sashi Kiran Challa
National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru 560 012, India
Shoibal Chakravarty
Divecha Centre for Climate Change, Indian Institute for Science, Bengaluru 560 012, India
Kshitija Joshi
Group Data and Analytics Cell, Aditya Birla Group, Bengaluru 560 064, India

Abstract


Appliances that provide thermal comfort services like space cooling and water heating have high energy demands and significant seasonal variation in usage. Ownership and usage of these appliances increase rapidly with income. Given the significant impact of these appliances on electricity demand, it is key to analyse their ownership and usage. A well-designed policy and standards framework can help transition households as well as manufacturers towards a higher efficiency ecosystem, and significantly lower electricity demand growth rates. In this study, we analyse ownership and usage patterns of these appliances using data from a primary survey of Bengaluru, India. We suggest some passive demand-side management frameworks based on current policies implemented for these appliance categories.

Keywords


Ownership and Usage Patterns, Primary Survey, Residential Electricity Demand, Space Cooling, Water Heating.

References





DOI: https://doi.org/10.18520/cs%2Fv120%2Fi11%2F1712-1720