Browsing by Author "Marujo, R."
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- Integração de Sistemas de Energia Renovável a Instalações ResidenciaisPublication . Marujo, R.; Simões, Teresa; Estanqueiro, AnaOs sistemas de microgeração domésticos que produzem energia a partir de fontes renováveis necessitam de legislação especifica e de ferramentas para identificar os potenciais e a viabilidade de implantação de soluções tecnológicas adaptadas ao ambiente urbano. Este artigo analisa exemplos de implementação de sistemas eólicos, fotovoltaicos e híbridos em uma edificação, debatendo questões económicas e energéticas.
- Integração de sistemas de energia renovável a instalações residenciaisPublication . Marujo, R.; Simões, Teresa; Estanqueiro, AnaOs sistemas de microgeração domésticos que produzem energia a partir de fontes renováveis necessitam de legislação especifica e de ferramentas para identificar os potenciais e a viabilidade de implantação de soluções tecnológicas adaptadas ao ambiente urbano. Este artigo analisa exemplos de implementação de sistemas eólicos, fotovoltaicos e híbridos em uma edificação, debatendo questões económicas e energéticas.
- Integration of renewable energy systems in buildings in the line of sustainable construction and energetic efficiencyPublication . Marujo, R.; Simões, Teresa; Estanqueiro, AnaBeing Portugal an extremely active country on the renewable energy area, one of technology niches experiencing a growing interest from investors and population in general are domestic micro-generation systems, especially when integrated in a building’s architecture. As a response to the expectations developed among domestic end-users of distributed renewablebased micro-generation systems, by the end of 2007, the Portuguese government published new legislation to regulate and clarify terms and tariffs for the installation of these small systems. To fulfill the needs of these users - essentially domestic and small and medium companies - INETI initiated the development of tools to characterize the wind resource in urban areas, the wind technological solutions adapted to urban environment – e.g. T.Urban small wind turbine - and tools to assess the viability of the micro-generation systems installation in buildings. This work presents and analyses scenarios for building energetic sustainability, by using a wind (SWT) system, a photovoltaic (PV) system and sizing a hybrid system (SWT+ PV) in a domestic building. Economic and energetic issues of the new legislation are presented and discussed. The results obtained demonstrate that it is very advantageous to become a microproducer in Portugal, if the region of interest is suitable for wind energy exploitation.
- MOS – “Model Output Statistics” – Aplicação da metodologia para correcção das previsões de vento obtidas para Portugal ContinentalPublication . Marujo, R.; Estanqueiro, Ana; Pires, C.A previsão do vento com exactidão é actualmente uma ferramenta necessário para a análise do potencial e estimativa de produção de energia eólica. Apesar do progresso significativo nos modelos de previsão meteorológica, os modelos apresentam erros sistemáticos que podem ser corrigidos com a aplicação de modelos estatísticos, lineares ou não, a partir das estatísticas acumuladas de um certo modelo de previsão. Esses modelos correctivos têm o nome genérico de MOS (Model Output Statistics) que têm como base o uso de regressões multilineares. Neste estudo, realizaram-se previsões MOS para as 24, 48 e 72 horas, para as componentes horizontais do vento, assim como, para o prazo de previsão de 36 horas, nas 61 estações da rede do Instituto de Meteorologia Português. Os resultados mostram uma melhoria do erro médio quadrático na ordem de 80% na previsão, sendo menos significativa com o aumento do prazo de previsão.
- Offshore wind field: Application of statistical models as a spatial validation techniquePublication . Marujo, R.; Costa, Paula Silva; Fernandes, Miguel; Estanqueiro, AnaGenerally, atmospheric mesoscale models are used as tools to perform wind atlases. In recent decades, significant efforts have been applied to the development and improvement of this kind of models to reduce their systematic errors. These ones are assessed when model results are compared with observations. In practice, such errors could be statistically corrected if observational data was available for the same area. A deviation matrix of the wind field between WRF (Weather Research and Forecasting) mesoscale model and wind data retrieved from the QuiKSCAT satellite was obtained by the application of two statistical techniques – kriging interpolation and composite method. The spatial validation performance was evaluated with observational wind data from an anemometric mast installed on Berlengas islet since November 2006 to the present. The following are a preliminary assessment of the statistical methods as spatial validation techniques. These are a part of the spatial validation methodology to be used within the EU FP7 NORSEWInD project.
- PortugalPublication . Marujo, R.; Simões, Teresa; Estanqueiro, AnaIn Portugal, 2012 was an atypical year in Portugal with regards to energy. Due to the efficiency measures implemented in recent years, but also due to the economic recession, electricity consumption in Portugal dropped 3.6% to 49.1 TWh. This represents a reduction of 6% of electricity demand in the last two years (1). It was also an extremely dry year, the fifth driest hydro year of the past 80 years (63% below the normal climate). Therefore, due to the reduced hydro production, the renewable contribution for the energy mix decreased 17% compared to 2011.
- PortugalPublication . Fernandes, Miguel; Marujo, R.; Simões, Teresa; Estanqueiro, AnaDuring 2011, Portugal experienced a strong reduction of electricity demand. With a decrease of 2.3%, the total consumption was 50.5 TWh (1). Due to a mild winter season, the most relevant renewable generation facilities (hydro and wind) experienced a strong production reduction in comparison with 2010. In 2011, Portuguese wind farms produced 21 GWh less than the previous year. It is only because of the decrease in consumption that wind penetration achieved a value of 18%. The growth of the wind sector has maintained the pace of 2010, and 315 MW were added. This amounts to a total installed capacity of 4,302 MW, representing 22% of the electric system’s installed capacity (1). In November 2011, a milestone for Portuguese offshore wind development was achieved with the successful deployment of its first offshore floating wind turbine – WindFloat (opening photo).
- Validation of an offshore wind atlas using the satellite data available at the coastal regions of PortugalPublication . Marujo, R.; Costa, Paula Silva; Fernandes, Miguel; Simões, Teresa; Estanqueiro, Ana
- Validation of an offshore wind atlas using the satellite data available at the coastal regions of portugalPublication . Marujo, R.; Costa, Paula Silva; Fernandes, Miguel; Simões, Teresa; Estanqueiro, AnaIn this study a validation methodology for regional mesoscale model simulations when ingested with surface wind data inferred from satellite sources around Continental Portugal is evaluated. Observational wind data from a “quasi” offshore anemometric mast located in the Berlenga Island – near Peniche region – was used for the validation study. Satellite sources of wind data under assessment are the ones being used in the EC funded FP7 NORSEWInD project, such as the QuikSCAT and SAR. The validation study evolves 10 years of full wind data, starting in January 2000 to December 2009. The evaluation was performed in two different spatial validation approaches. Results from this study indicate that the wind satellite data has good quality to be assimilated on high resolution mesoscale model simulations particularly the ones concerned with long term behavior of the wind field near the coastal areas.
- Validation of an offshore wind atlas using the satellite data available at the coastal regions of PortugalPublication . Marujo, R.; Costa, Paula Silva; Fernandes, Miguel; Simões, Teresa; Estanqueiro, AnaIn this study a validation methodology for regional mesoscale model simulations when ingested with surface wind data inferred from satellite sources around Continental Portugal is evaluated. Observational wind data from a “quasi” offshore anemometric mast located in the Berlenga Island – near Peniche region – was used for the validation study. Satellite sources of wind data under assessment are the ones being used in the EC funded FP7 NORSEWInD project, such as the QuikSCAT and SAR. The validation study evolves 10 years of full wind data, starting in January 2000 to December 2009. The evaluation was performed in two different spatial validation approaches. Results from this study indicate that the wind satellite data has good quality to be assimilated on high resolution mesoscale model simulations particularly the ones concerned with long term behavior of the wind field near the coastal areas.