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Record Nr. |
UNINA9910467541203321 |
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Autore |
Pete Brian M. |
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Titolo |
Everyday problem-based learning : quick projects to build problem-solving fluency / / Brian Pete, Robin Fogarty |
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Pubbl/distr/stampa |
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Alexandria, Virginia : , : ASCD, , 2018 |
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©2018 |
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ISBN |
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Descrizione fisica |
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1 online resource (136 pages) : illustrations |
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Disciplina |
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Soggetti |
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Problem-based learning |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910557427903321 |
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Autore |
Martins Fernando Ramos |
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Titolo |
Assessment of Renewable Energy Resources with Remote Sensing |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (244 p.) |
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Soggetti |
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Research & information: general |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The book "Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security. |
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