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Patrícia Fortes

Researcher at Nova Southeastern University

Publications -  42
Citations -  766

Patrícia Fortes is an academic researcher from Nova Southeastern University. The author has contributed to research in topics: Renewable energy & Energy policy. The author has an hindex of 12, co-authored 31 publications receiving 587 citations. Previous affiliations of Patrícia Fortes include University of Lisbon & Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa.

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Long-term energy scenarios: : Bridging the gap between socio-economic storylines and energy modeling

TL;DR: It is concluded that a combined method that links socio-economic storylines and energy modeling increases the robustness of energy scenario development because providing a coherent context for modeling assumptions allows better reasoning, which is most valued for the decision-making process.
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Projections of energy services demand for residential buildings: Insights from a bottom-up methodology

TL;DR: In this paper, the authors present a bottom-up methodology to project detailed energy end-uses demand in the Portuguese residential buildings until 2050, aiming to identify the parameters governing energy services demand uncertainty, through a sensitivity analysis.
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Assessing the impacts of climate change on hydropower generation and the power sector in Portugal: A partial equilibrium approach

TL;DR: In this article, the effects of climate change on the availability of water resources and hydropower generation in Portugal were quantified using a partial equilibrium bottom-up optimization model (TIMES_PT).
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Cost of energy and environmental policy in Portuguese CO2 abatement—scenario analysis to 2020

TL;DR: In this article, the authors quantified the contribution of Portuguese energy policies for total and marginal abatement costs (MAC) for CO2 emissions for 2020, using the TIMES_PT optimisation model.
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Integrated technological-economic modeling platform for energy and climate policy analysis

TL;DR: In this article, 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, is presented.