Published August 2018 | Version v1
Journal article

Capturing natural resource heterogeneity in top-down energy-economic equilibrium models

  • 1. Center for Economic Research at ETH (CER-ETH), Department of Management, Technology and Economics, ETH Zurich (Switzerland)
  • 2. Institute of Energy, Environment and Economy, Tsinghua University, Beijing (China)
  • 3. Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge (United States)

Description

Highlights: • We extend the hybrid approach to model heterogeneity of resource inputs in CGE model. • The approach can integrate detailed resource data allowing more precise simulation. • A modeling case on China's onshore wind shows the accuracy and flexibility of the approach. • A differentiated FIT design requires less subsidy and is more cost-effective. - Abstract: Top-down energy-economic modeling approaches often use simplified techniques to represent heterogeneous resource inputs to production. We show that for some policies, such as feed-in tariffs for renewable electricity, detailed representation of renewable resource grades is required to describe the technology more precisely and identify cost-effective policy designs. We demonstrate the hybrid approach for modeling heterogeneity in the quality of natural resource inputs required for renewable energy production in a stylized computable general equilibrium framework. Importantly, compared to the traditional approach, the hybrid approach resolves near-flat or near-vertical sections of the supply curve and improves the precision of policy simulation. We then represent the shape of a resource supply curve based on more detailed data. We show that for the case of onshore wind development in China, a differentiated feed-in tariff design that can only be modeled with the hybrid approach requires less than half of the subsidy budget needed for a uniform feed-in tariff design to achieve the same installation targets.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eneco.2018.07.019

Additional details

Identifiers

DOI
10.1016/j.eneco.2018.07.019;
PII
S0140988318302688;

Publishing Information

Journal Title
Energy Economics
Journal Volume
74
Journal Page Range
p. 917-926
ISSN
0140-9883
CODEN
EECODR

INIS

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.