A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs
We expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the weather-based renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-01-01
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| Series: | MethodsX |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221501611930144X |
| _version_ | 1811337483833573376 |
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| author | Hailiang Liu Gorm Bruun Andresen Tom Brown Martin Greiner |
| author_facet | Hailiang Liu Gorm Bruun Andresen Tom Brown Martin Greiner |
| author_sort | Hailiang Liu |
| collection | DOAJ |
| description | We expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the weather-based renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability of wind and solar power. Often limited by data availability or computational performance, a high resolution, globally applicable and validated hydro power time series model has not been available. For a demonstration, we focus on 41 Chinese reservoir-based hydro stations as a demo, determine their upstream basin areas, estimate their inflow based on gridded surface runoff data and validate their daily inflow time series in terms of both flow volume and potential power generation. Furthermore, we showcase an application of these time series with hydro cascades in energy system long term investment planning. Our method's novelty lies in: • it is based on highly resolved spatial-temporal datasets; • both data and algorithms used here are globally applicable; • it includes a hydro cascade model that can be integrated into energy system simulations. Keywords: Hydro power, Reanalysis, Energy systems, China |
| first_indexed | 2024-04-13T17:55:32Z |
| format | Article |
| id | doaj.art-cadb6146cbd642a4bcec0b9747803e49 |
| institution | Directory Open Access Journal |
| issn | 2215-0161 |
| language | English |
| last_indexed | 2024-04-13T17:55:32Z |
| publishDate | 2019-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj.art-cadb6146cbd642a4bcec0b9747803e492022-12-22T02:36:31ZengElsevierMethodsX2215-01612019-01-01613701378A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirsHailiang Liu0Gorm Bruun Andresen1Tom Brown2Martin Greiner3Department of Engineering, Aarhus University, Inge Lehmanns Gade 10, 8000 Aarhus C, Denmark; Corresponding author.Department of Engineering, Aarhus University, Inge Lehmanns Gade 10, 8000 Aarhus C, DenmarkInstitute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, GermanyDepartment of Engineering, Aarhus University, Inge Lehmanns Gade 10, 8000 Aarhus C, DenmarkWe expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the weather-based renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability of wind and solar power. Often limited by data availability or computational performance, a high resolution, globally applicable and validated hydro power time series model has not been available. For a demonstration, we focus on 41 Chinese reservoir-based hydro stations as a demo, determine their upstream basin areas, estimate their inflow based on gridded surface runoff data and validate their daily inflow time series in terms of both flow volume and potential power generation. Furthermore, we showcase an application of these time series with hydro cascades in energy system long term investment planning. Our method's novelty lies in: • it is based on highly resolved spatial-temporal datasets; • both data and algorithms used here are globally applicable; • it includes a hydro cascade model that can be integrated into energy system simulations. Keywords: Hydro power, Reanalysis, Energy systems, Chinahttp://www.sciencedirect.com/science/article/pii/S221501611930144X |
| spellingShingle | Hailiang Liu Gorm Bruun Andresen Tom Brown Martin Greiner A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs MethodsX |
| title | A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs |
| title_full | A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs |
| title_fullStr | A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs |
| title_full_unstemmed | A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs |
| title_short | A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs |
| title_sort | high resolution hydro power time series model for energy systems analysis validated with chinese hydro reservoirs |
| url | http://www.sciencedirect.com/science/article/pii/S221501611930144X |
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