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Timeslice and peak setting - Printable Version

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Timeslice and peak setting - xila - 17-11-2018

Dear all:     We encountered some problems in the process of studying the optimal configuration of regional power systems:    1.We want to divide the renewable energy generation system into spring, summer, autumn and winter, and consider sunny, cloudy and rainy seasons for each season. Wind power also has to think about the range of wind speeds, and it has to think about peak-peaking, and it has to think about day and night.    2.We want to add energy storage to the power system: pumping energy storage, compressed air energy storage, battery energy storage, etc., how they are defined, and we want to add peak-shaving to the energy storage, how to set it up and whether there is a model reference    3.We want to consider carbon tax, total carbon dioxide limit, subsidy, and the addition of carbon trading market, how to set in the scenario module, what are the model attributes involved, and can you provide relevant model reference?    Thanks                                                                                                                                                              xila


RE: Timeslice and peak setting - Antti-L - 27-11-2018

Welcome to the ETSAP Forum! However, looking at your post, it seems it might get better attention on the VEDA Forum.  Anyway, you can find detailed information about TIMES features in the documentation. Concerning the modelling of storage technologies, carbon dioxide limits, subsidies etc., there are some worked examples in the advanced demo models.


RE: Timeslice and peak setting - xila - 28-11-2018

(27-11-2018, 05:52 PM)Antti-L Wrote: Welcome to the ETSAP Forum! However, looking at your post, it seems it might get better attention on the VEDA Forum.  Anyway, you can find detailed information about TIMES features in the documentation. Concerning the modelling of storage technologies, carbon dioxide limits, subsidies etc., there are some worked examples in the advanced demo models.
Thank you very much.The clues you provided are of great help to my learning model.Maybe I will post more posts in the subsequent research and learning, and ask you for relevant questions.Thanks again.                                                                                                                                                       xila