Published May 2019 | Version v1
Journal article

Modeling energy efficiency insurances and energy performance contracts for a quantitative comparison of risk mitigation potential

  • 1. University of Applied Sciences, Augsburg, and Project Group Business & Information Systems Engineering of the Fraunhofer FIT, Universitätsstr, 12, 86159 Augsburg (Germany)
  • 2. FIM Research Center, University of Augsburg and Project Group Business & Information Systems Engineering of the Fraunhofer FIT, Universitätsstr, 12, 86159 Augsburg (Germany)

Description

Highlights: • Quantitative comparison of risk mitigation potential of risk transfer contracts • Introduction of energy bill savings forecast model based on real-world data • Risk transfer contracts positively affect private energy efficiency investments • Energy Savings Guarantee is superior to insurances based on fair premiums. • Energy Efficiency Insurances could be superior when transaction costs are reduced. -- Abstract: Financial risk mitigation via Energy Performance Contracting or Energy Efficiency Insurances may overcome individual barriers for energy efficiency investments. However, while the financial industry, and especially insurance companies, may have compelling reasons to get involved in energy efficiency investments, the research on and real-world applications of risk transfer contracts for private decision-makers are scarce. Thus, this study quantitatively compares the risk mitigation potential of risk transfer contracts based on a comprehensive energy bill savings forecast model comprising stochastic processes for weather, commodity prices, and technological energy efficiency performance. The model is fitted with a unique dataset for German residential buildings. Our findings indicate that risk transfer contracts positively affect individual decision-makers' willingness to invest in energy efficiency. Generally, we find Energy Performance Contracts to be superior in most scenarios when transaction costs are not considered. However, insurance companies may benefit from diversification effects and by ceding risks to global capital markets and reinsurance companies.

Additional details

Identifiers

DOI
10.1016/j.eneco.2019.01.033;
PII
S0140988319300489;

Publishing Information

Journal Title
Energy Economics
Journal Volume
80
Journal Page Range
p. 842-859
ISSN
0140-9883
CODEN
EECODR

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55014405
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
CAPITAL; COMPUTERIZED SIMULATION; COST; DIVERSIFICATION; ENERGY EFFICIENCY; INSURANCE; INVESTMENT; MARKET; PERFORMANCE; PRICES; RESIDENTIAL BUILDINGS; SALES; STOCHASTIC PROCESSES
Descriptors DEC
BUILDINGS; EFFICIENCY; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier B.V. All rights reserved.