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Published May 2019 | Version v1
Journal article

Advanced technologies in energy-economy models for climate change assessment

  • 1. Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, 77 Massachusetts Avenue, E19-411, Cambridge, MA, 02139-4307 (United States)

Description

Highlights: • We use historic analogues to parameterize technology diffusion in a CGE model. • The approach includes adjustment costs, rents and knowledge depreciation. • These factors slow diffusion over the first 10–15 years. • Different technology analogues yield similar results. • Rates of technology expansion depend on economic incentives. -- Abstract: Considerations regarding the roles of advanced technologies are crucial in energy-economic modeling, as these technologies, while usually not yet commercially viable, could substitute for fossil energy when favorable policies are in place. To improve the representation of the penetration of advanced technologies in energy-economic models, we present a formulation that is parameterized based on observations, while capturing elements of rent and real adjustment cost increases if high demand due to a large policy shock suddenly appears. The formulation is applied to a global computable general equilibrium model to explore the role of low-carbon alternatives in the electric power sector. While other modeling approaches often adopt specific constraints on expansion, our approach is based on the assumption and observation that these constraints are not absolute, and how fast advanced technologies will expand is endogenous to economic incentives. The policy simulations, while not intended to represent realistic price paths, are designed to illustrate the response of our technology diffusion approach under sudden increased demand for advanced technologies.

Additional details

Identifiers

DOI
10.1016/j.eneco.2019.01.034;
PII
S0140988319300490;

Publishing Information

Journal Title
Energy Economics
Journal Volume
80
Journal Page Range
p. 476-490
ISSN
0140-9883
CODEN
EECODR

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55014418
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
CLIMATES; COMPUTERIZED SIMULATION; ECONOMY; ELECTRIC POWER; ENERGY; ENERGY POLICY; FINANCIAL INCENTIVES; GREENHOUSE EFFECT; PRICES
Descriptors DEC
CLIMATIC CHANGE; GOVERNMENT POLICIES; POWER; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 The Author(s). Published by Elsevier B.V.