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- Energy Sustainability Universal Index (ESUI): A proposed framework applied to the decision-making evaluation in power system generationPublication . Silva, Ricardo M.; Silva, Ana R.C.; Lima, Tânia M.; Santos, Fernando Charrua; Osório, Gerardo J.There are numerous methodologies to measure sustainability, but there are few models on Energy Sustainability (ES) that focus on the proper use of energy sources. This manuscript aims to present the ESUI (Energy Sustainability Universal Index) framework for power generation. The method development consisted of four stages: (i) A survey of the State-of-the-Art to choose the dimensions and variables; (ii) The definition of “damage” concept to incorporate subjective values; (iii) Validation of the found variables through the analysis of 34 electric power plants randomly chosen and tested; and (iv) The mathematical model. From the analyzed power plants through the proposed model, as an example, the Itaipu Binacional Hydroelectric Power Plant is 42% sustainable with an emphasis in the Political- Territorial dimension, while Trillo Nuclear Power Plant is not economically sustainable. The main contributions of the proposed ESUI framework are the classification and evaluation of ES in five dimensions (Environmental, Economic, Social-Cultural, Political-Territorial, and Technological) through a simple process, helping in the management of the decision-making process, accounting simultaneously for subjective aspects and incorporating weighting factors according to the user’s expert opinion.
- Forecasting tools and probabilistic scheduling approach incorporatins renewables uncertainty for the insular power systems industryPublication . Silva, Gerardo José Osório da ; Catalão, João Paulo da Silva; Matias, João Carlos de OliveiraNowadays, the paradigm shift in the electricity sector and the advent of the smart grid, along with the growing impositions of a gradual reduction of greenhouse gas emissions, pose numerous challenges related with the sustainable management of power systems. The insular power systems industry is heavily dependent on imported energy, namely fossil fuels, and also on seasonal tourism behavior, which strongly influences the local economy. In comparison with the mainland power system, the behavior of insular power systems is highly influenced by the stochastic nature of the renewable energy sources available. The insular electricity grid is particularly sensitive to power quality parameters, mainly to frequency and voltage deviations, and a greater integration of endogenous renewables potential in the power system may affect the overall reliability and security of energy supply, so singular care should be placed in all forecasting and system operation procedures. The goals of this thesis are focused on the development of new decision support tools, for the reliable forecasting of market prices and wind power, for the optimal economic dispatch and unit commitment considering renewable generation, and for the smart control of energy storage systems. The new methodologies developed are tested in real case studies, demonstrating their computational proficiency comparatively to the current state-of-the-art.