A problem with the transportation data
837288251 opened this issue · 5 comments
Hello, I have a problem about my transportation data. As you can see from the picture below about the _'transport final energy by tech and fuel' query,there's a sudden rise in 2025 while there is no problem with the other tech.
Then I check the tech share-wight query, as the picture below, this entry has a ratio of 0.5 in 2025.
I'm wondering what has caused the rise in data in 2025. What formula is used to calculate the transportation input data after the baseline year?
Look forward to hearing from you!
I found that the cost is low in the picture below. Is this the reason? How to adjust the cost data?
I used the default choice strategy.
Just from the information posted, these transportation modes are costing thousands of dollars per passenger kilometer in the base year, and then suddenly dropping to between $2 and $40 in 2025. Nothing good is going to come from that sort of scenario, regardless of what you do about the choice parameters. The solution will be figuring out what you have done to make transportation so expensive in the base year, and to suddenly drop so much in cost going into 2025.
Just from the information posted, these transportation modes are costing thousands of dollars per passenger kilometer in the base year, and then suddenly dropping to between $2 and $40 in 2025. Nothing good is going to come from that sort of scenario, regardless of what you do about the choice parameters. The solution will be figuring out what you have done to make transportation so expensive in the base year, and to suddenly drop so much in cost going into 2025.
Thank you! I think the problem is the bad fuel price. Is the energy fuel price calculated by the regional fuel market? Or setting in the "UCD_trn_data_CORE.csv"? How to adjust my fuel price?
I really can't even help debug this; these cost numbers are just so different from the core model. The 2015 price of “refined liquids enduse” should be around 6 and 8, (1975$/GJ), and the cost of passenger transport has more regional variation, but values between 0.1 and 0.7 are reasonable, indicated in 1990$/passenger-km. I guess I'd recommend starting from the core model, layer on the changes you've made one at a time, and see if you can figure out what's causing these prices to be so high in the calibration years. One more consideration is that prices cannot be meaningfully queried globally; the model interface simply adds up the price of each region, as it cannot compute a weighted average. Instead I'd recommend just picking one region for querying.
I really can't even help debug this; these cost numbers are just so different from the core model. The 2015 price of “refined liquids enduse” should be around 6 and 8, (1975$/GJ), and the cost of passenger transport has more regional variation, but values between 0.1 and 0.7 are reasonable, indicated in 1990$/passenger-km. I guess I'd recommend starting from the core model, layer on the changes you've made one at a time, and see if you can figure out what's causing these prices to be so high in the calibration years. One more consideration is that prices cannot be meaningfully queried globally; the model interface simply adds up the price of each region, as it cannot compute a weighted average. Instead I'd recommend just picking one region for querying.
Thank you very much! I'll have a try.