[NEMO-devel] Polygons in NEMO and optimization displayed results
Yusak Tanoto
yusak.tanoto at gmail.com
Thu Jun 29 13:14:30 AEST 2017
Hi Dr. Ben,
For my NEMO introduction, I just tried to run the case re100 with number of
generations 5. Hope I did it correctly.
My question is about the polygons. Is it like a compulsory to define
polygons, because I saw in your first two publications, you didn't mention
about the polygons at all, or in other words, can we run NEMO without
having the predefined polygons?
About the displayed results, is it the last generations (in this case after
5th generations) to be displayed in NEMO? Can we also displayed other
generations result?
Cheers,
Yusak
C:\Users\Yusak\Documents\nemo-3a92037\nemo-3a92037>python -m scoop
evolve.py -g5 -s re100
[2017-06-29 12:02:33,319] launcher INFO SCOOP 0.7 1.1 on win32 using
Python 2.7.10 (default, May 23 2015, 09:40:32) [MSC v.1500 32 bit (Intel)],
API: 1013
[2017-06-29 12:02:33,321] launcher INFO Deploying 4 worker(s) over 1
host(s).
[2017-06-29 12:02:33,322] launcher INFO Worker distribution:
[2017-06-29 12:02:33,323] launcher INFO 127.0.0.1: 3 + origin
{'verbose': False, 'trace_file': None, 'fossil_limit': None,
'supply_scenario': 're100', 'carbon_price': 25, 'reserves': 0,
'discount_rate': 0.05, 'coal_price': 1.86, 'gas_price': 11.0,
'hydro_limit': 12.0, 'reliability_std': None, 'emissions_limit': None,
'ccs_storage_costs': 27.0, 'costs': 'AETA2013-in2030-mid',
'bioenergy_limit': 20.0, 'demand_modifier': [], 'nsp_limit': 0.75, 'seed':
None, 'list_scenarios': False, 'transmission': False, 'lambda_': None,
'generations': 5, 'sigma': 2.0, 'min_regional_generation': None}
fitness hallfame
----- -----
gen nevals min min
0 19 123.6 123.6
1 19 127.99 123.6
2 19 122.026 122.026
3 19 115.008 115.008
4 19 129.992 115.008
re100: [2.8996393372747935, 0, 0, 0, 0.28504538140142277, 0, 0,
0.79656571135738696, 1.1762855442500713, 0, 1.127907874084074,
2.4939509704949487, 0, 2.7030298109085402, 0, 0, 0, 3.0704757931584941,
0.9038504031455743, 0, 0, 3.2221552288096715, 0.37369960085931886, 0, 0,
5.2926601020067423, 0, 2.4211383363090158, 0, 0, 0, 0, 3.2914090303309269,
3.9518379389363472, 0, 0, 0, 0, 0, 0.88986156322361887, 0,
1.0440683077387001, 0, 3.4049551257766564, 0.0021272871793709403,
2.6427237744925298, 0, 0.006103056796051276, 0.77922926100894996, 0,
0.43428091846829497, 0.97461572879531655, 0, 0.036438832600028295, 0,
2.5147794533494121, 0.45585158497626332, 2.2257661089564391, 0, 0,
3.763358583040981, 7.3770543566924225, 0, 0.80214990812596032, 0,
0.54186046136699817, 0.94310972238649948, 1.0519992193554668,
3.0271126876014827, 2.8495677695130452, 0, 2.357084209186163,
0.19284442273535018, 0, 0.32600284250251343, 1.9346008616440153, 0,
0.59386378844284549, 0, 0, 0, 0.24552747764466298, 0, 3.5403137322342602,
3.7586371720854141, 0.37310614096947486, 2.8190217074385115,
2.2219977752266398, 1.1909742110938801, 0, 0, 0, 0, 0.15871037125144039, 0,
0, 1.3187065831957012, 4.493514027342747, 0, 0, 0, 1.822255285150379, 0, 0,
0, 0, 0, 2.5069863231563354, 0, 1.4331809739037418, 0, 0, 0, 0,
1.6179397140167717, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.0000934357658302, 0, 0, 0,
1.4407058703813846, 3.1410799663185078, 0, 0, 0, 0, 1.8083135883044714,
0.086167564731708751, 1.0969664121462634, 0.26045242112990502,
1.4993476867866344, 0, 0, 0, 0, 0, 2.0825714527367096, 2.2973499855694643,
0.019745547620330761, 0, 0, 1.3817850684112081, 0, 0, 0, 0, 0,
0.78247728109974324, 0, 0, 0, 5.517984243752645, 3.2586621534701035,
1.030850251444059, 1.0614217145717806, 0, 0.56016615360703859,
4.3245843444254248, 2.7330396385972624, 1.4682301976103347,
1.8232362882773436, 1.177834067289061, 0.029562481467918303,
3.338222798339511, 0, 0, 0, 0, 0.62572797200491082, 0.11643204318024503, 0,
1.9891300959861304, 0, 0.24125653751688914, 0, 0]
Generators:
polygon 1 PV (QLD1:1), 2.90 GW
supplied 7.295 TWh, CF 28.7%, capcost $6,602,478,770, opcost
$101,864,329, LCOE $72
polygon 2 PV (QLD1:2), 0.00 GW
supplied 0 TWh
polygon 3 PV (QLD1:3), 0.00 GW
supplied 0 TWh
.............
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