Integrated technological-economic modeling platform for energy and climate policy analysis

被引:46
作者
Fortes, Patricia [1 ]
Pereira, Rui [2 ]
Pereira, Alfredo [2 ]
Seixas, Julia [1 ]
机构
[1] Univ Nova Lisboa, CENSE, Dept Ciancias & Engn Ambiente, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal
[2] Coll William & Mary, Dept Econ, Williamsburg, VA 23187 USA
关键词
Bottom-up; Top-down; Hybrid modeling; Energy-climate policy; BOTTOM-UP; TOP-DOWN; GENERAL EQUILIBRIUM; CGE MODEL; SCENARIOS; ABATEMENT; DETAIL; COST;
D O I
10.1016/j.energy.2014.06.075
中图分类号
O414.1 [热力学];
学科分类号
摘要
CGE (computable general equilibrium) and bottom-up models each have unique strengths and weakness in evaluating energy and climate policies. This paper describes the development of an integrated technological, economic modeling platform (HYBTEP), built through the soft-link between the bottom-up TIMES (The Integrated MARKAL-EFOM system) and the CGE GEM-E3 models. HYBTEP combines cost minimizing energy technology choices with macroeconomic responses, which is essential for energy-climate policy assessment. HYBTEP advances on other hybrid tools by assuming 'full-form' models, integrating detailed and extensive technology data with disaggregated economic structure, and 'full-link', i.e., covering all economic sectors. Using Portugal as a case study, we examine three scenarios: (i) the current energy-climate policy, (ii) a CO2 tax, and (iii) renewable energy subsidy, with the objective of assessing the advantages of HYBTEP vis-a-vis bottom-up approach. Results show that the economic framework in HYBTEP partially offsets the increase or decrease in energy costs from the policy scenarios, while TIMES is very sensitive to energy services-price elasticities, setting a wide range of results. HYBTEP allows the computation of the economic impacts of policies in a technological detailed environment. The hybrid platform increases transparency of policy analysis by making explicit the mechanisms through which energy demand evolves, resulting in high confidence for decision-making. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:716 / 730
页数:15
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