Reckien, D, Heidrich O, Church J, Pietrapertos F, De Gregorio-Hurtado S, D'Alonzo V, Foley A, Simoes SG, Lorencová EK, Orruk H, Orrum K, Wejs A, Flacke J, Olazabal M, Geneletti D, Feliu E, Vasilier S, Nador C, Krook-Riekkola A, Matosović M, A. Fokaides P, I. Ioannou B, Flamos A, Spyridaki N.
2018.
How are cities planning to respond to climate change? Assessment of local climate plans from 885 cities in the EU-28 Journal of Cleaner Production. doi: 10.1016/j.jclepro.2018.03.220. 191:207-219.
Fortes, P, Pereira R, Pereira A, Seixas J.
2014.
Integrated technological-economic modeling platform for energy and climate policy analysis. Energy. 73:716–730.: Elsevier Ltd
AbstractCGE (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-à-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. © 2014 Elsevier Ltd.