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Willingness to pay for microgrids to enhance community resilience

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  • Hotaling, Chelsea
  • Bird, Stephen
  • Heintzelman, Martin D.

Abstract

Given the important role that electricity plays in powering society, and the significant risk that extreme weather and other events pose in disrupting electricity supply, the idea of community-scale microgrids has come to the forefront to enhance electrical grid resiliency and provide critical services to local communities during extended outages. In this paper, a discrete choice experiment is used to evaluate willingness to pay (WTP) for services provided by a community microgrid during extended power outages. With a sample of 939 respondents from New York State, results indicate that, overall, there is a positive willingness to pay for microgrid services, including hospital and emergency services, potable water, shelters, and retail outlets; even if residents are not receiving their own residential electricity supply during an outage. The average willingness to pay for the full suite of evaluated microgrid services is approximately $14 per month per household. We also find that WTP varies with some sociodemographic and other characteristics. These results provide critical evidence for rate-makers and utilities in evaluating societal benefit when making investment decisions for microgrids and related infrastructure.

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  • Hotaling, Chelsea & Bird, Stephen & Heintzelman, Martin D., 2021. "Willingness to pay for microgrids to enhance community resilience," Energy Policy, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:enepol:v:154:y:2021:i:c:s0301421521001178
    DOI: 10.1016/j.enpol.2021.112248
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    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Stadler, Michael & Cardoso, Gonçalo & Mashayekh, Salman & Forget, Thibault & DeForest, Nicholas & Agarwal, Ankit & Schönbein, Anna, 2016. "Value streams in microgrids: A literature review," Applied Energy, Elsevier, vol. 162(C), pages 980-989.
    3. Xie, Bai-Chen & Zhao, Wei, 2018. "Willingness to pay for green electricity in Tianjin, China: Based on the contingent valuation method," Energy Policy, Elsevier, vol. 114(C), pages 98-107.
    4. Revelt, David & Train, Kenneth, 2000. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Department of Economics, Working Paper Series qt1900p96t, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    5. Abdullah, Sabah & Mariel, Petr, 2010. "Choice experiment study on the willingness to pay to improve electricity services," Energy Policy, Elsevier, vol. 38(8), pages 4570-4581, August.
    6. Bhat, Chandra R., 1998. "Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 495-507, September.
    7. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    8. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    9. Mickael Bech & Dorte Gyrd‐Hansen, 2005. "Effects coding in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1079-1083, October.
    10. Aizaki, Hideo, 2012. "Basic Functions for Supporting an Implementation of Choice Experiments in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c02).
    11. Carlsson, Fredrik & Martinsson, Peter, 2008. "Does it matter when a power outage occurs? -- A choice experiment study on the willingness to pay to avoid power outages," Energy Economics, Elsevier, vol. 30(3), pages 1232-1245, May.
    12. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    13. Breetz, Hanna & Mildenberger, Matto & Stokes, Leah, 2018. "The political logics of clean energy transitions," Business and Politics, Cambridge University Press, vol. 20(4), pages 492-522, December.
    14. Pepermans, Guido, 2011. "The value of continuous power supply for Flemish households," Energy Policy, Elsevier, vol. 39(12), pages 7853-7864.
    15. Whitehead, John C. & Cherry, Todd L., 2007. "Willingness to pay for a Green Energy program: A comparison of ex-ante and ex-post hypothetical bias mitigation approaches," Resource and Energy Economics, Elsevier, vol. 29(4), pages 247-261, November.
    16. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    17. Sunhee Baik & M. Granger Morgan & Alexander L. Davis, 2018. "Providing Limited Local Electric Service During a Major Grid Outage: A First Assessment Based on Customer Willingness to Pay," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 272-282, February.
    18. Loomis, John B., 2014. "2013 WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(01), pages 1-13, April.
    19. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    20. Ozbafli, Aygul & Jenkins, Glenn P., 2016. "Estimating the willingness to pay for reliable electricity supply: A choice experiment study," Energy Economics, Elsevier, vol. 56(C), pages 443-452.
    21. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
    22. Anu Narayanan & M. Granger Morgan, 2012. "Sustaining Critical Social Services During Extended Regional Power Blackouts," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1183-1193, July.
    23. Mark Morrison & Jeff Bennett & Russell Blamey & Jordan Louviere, 2002. "Choice Modeling and Tests of Benefit Transfer," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 161-170.
    24. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    25. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    26. Bae, Jeong Hwan & Rishi, Meenakshi, 2018. "Increasing consumer participation rates for green pricing programs: A choice experiment for South Korea," Energy Economics, Elsevier, vol. 74(C), pages 490-502.
    27. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    28. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    29. Borchers, Allison M. & Duke, Joshua M. & Parsons, George R., 2007. "Does willingness to pay for green energy differ by source?," Energy Policy, Elsevier, vol. 35(6), pages 3327-3334, June.
    30. Birol, Ekin & Karousakis, Katia & Koundouri, Phoebe, 2006. "Using a choice experiment to account for preference heterogeneity in wetland attributes: The case of Cheimaditida wetland in Greece," Ecological Economics, Elsevier, vol. 60(1), pages 145-156, November.
    31. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    32. Vossler, Christian A. & Watson, Sharon B., 2013. "Understanding the consequences of consequentiality: Testing the validity of stated preferences in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 137-147.
    33. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    34. Hensher, David A. & Shore, Nina & Train, Kenneth, 2014. "Willingness to pay for residential electricity supply quality and reliability," Applied Energy, Elsevier, vol. 115(C), pages 280-292.
    35. John Loomis & Thomas Brown & Beatrice Lucero & George Peterson, 1996. "Improving Validity Experiments of Contingent Valuation Methods: Results of Efforts to Reduce the Disparity of Hypothetical and Actual Willingness to Pay," Land Economics, University of Wisconsin Press, vol. 72(4), pages 450-461.
    36. Rommel, Kai & Sagebiel, Julian, 2017. "Preferences for micro-cogeneration in Germany: Policy implications for grid expansion from a discrete choice experiment," Applied Energy, Elsevier, vol. 206(C), pages 612-622.
    37. DeWaters, Jan E. & Powers, Susan E., 2011. "Energy literacy of secondary students in New York State (USA): A measure of knowledge, affect, and behavior," Energy Policy, Elsevier, vol. 39(3), pages 1699-1710, March.
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