Using Insurance to Manage Reliability in the Distributed Electricity Sector: Insights From an Agent-Based Model
Rolando Fuentes and
Abhijit Sengupta
Discussion Papers from King Abdullah Petroleum Studies and Research Center
Abstract:
Our results suggest that consumers would transfer some of the inherent risks of a blackout to the utility for a price lower than their willingness to pay to achieve their desired level of protection, creating economic value. The purchase of insurance would help most consumers avoid a complete loss of power. Our simulations show that of those households that would otherwise experience a complete loss of power, on average between 1% and 15% can fully cover their excess energy needs through insurance. Between 50% and 70% of these households are budget constrained but would still be able to partially cover their excess energy needs.
Keywords: Agent based models; Distributed energy resources; New business models in electricity; Reliability Insurance; Utility death spiral (search for similar items in EconPapers)
Pages: 39
Date: 2019-07-21
New Economics Papers: this item is included in nep-cmp, nep-ene and nep-ias
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.kapsarc.org/research/publications/gas- ... nd-power-generation/ First version, 2019 (application/pdf)
Related works:
Journal Article: Using insurance to manage reliability in the distributed electricity sector: Insights from an agent-based model (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:prc:dpaper:ks--2019-dp59
DOI: 10.30573/KS-2019-DP59
Access Statistics for this paper
More papers in Discussion Papers from King Abdullah Petroleum Studies and Research Center Contact information at EDIRC.
Bibliographic data for series maintained by Michael Gaffney ().