Publicação
Development of a multiple orientation solar radiation sensor
| Resumo: | The future implementation of urban photovoltaic power production is dependent on the furthering of the knowledge about spatiotemporal distribution of the solar resource. Current pyranometer technologies while accurate, still pose an obstacle to the development of city-wide mesh sensing grids due to their high cost and maintenance. Developing a low-cost radiation sensor is thus essential to the deployment of such mesh sending grids and consequently to the development and enhancement of information dependent energy systems like power grids and smart grids in the future. The rise of the internet of things provides the correct tools to tackle this issue. Using consumer level technology associated with prototyping tools we developed a wireless, self-powering, low-cost solar irradiance that estimates all three main components of solar light was developed. Global irradiation is collected and used to calculate direct and diffuse irradiance with an artificial neural network algorithm. The result is a low-cost sensor with no moving parts and substantially lower maintenance needs that effectively measures all three components of solar irradiance which are typically measured with devices far more expensive and elaborated. |
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| Autores principais: | Martins, Luís Miguel Resende |
| Assunto: | Fotovoltaico Previsão Sensor Piranómetro Irradiância Direta Normal Irradiância hemisférica difusa Irradiância Global Teses de mestrado - 2018 |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | The future implementation of urban photovoltaic power production is dependent on the furthering of the knowledge about spatiotemporal distribution of the solar resource. Current pyranometer technologies while accurate, still pose an obstacle to the development of city-wide mesh sensing grids due to their high cost and maintenance. Developing a low-cost radiation sensor is thus essential to the deployment of such mesh sending grids and consequently to the development and enhancement of information dependent energy systems like power grids and smart grids in the future. The rise of the internet of things provides the correct tools to tackle this issue. Using consumer level technology associated with prototyping tools we developed a wireless, self-powering, low-cost solar irradiance that estimates all three main components of solar light was developed. Global irradiation is collected and used to calculate direct and diffuse irradiance with an artificial neural network algorithm. The result is a low-cost sensor with no moving parts and substantially lower maintenance needs that effectively measures all three components of solar irradiance which are typically measured with devices far more expensive and elaborated. |
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