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211 | 211 | },
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212 | 212 | {
|
213 | 213 | "cell_type": "code",
|
214 |
| - "execution_count": 7, |
| 214 | + "execution_count": 5, |
215 | 215 | "metadata": {},
|
216 | 216 | "outputs": [
|
217 | 217 | {
|
|
222 | 222 | " Battery: 815.3412599999999 MW]"
|
223 | 223 | ]
|
224 | 224 | },
|
225 |
| - "execution_count": 7, |
| 225 | + "execution_count": 5, |
226 | 226 | "metadata": {},
|
227 | 227 | "output_type": "execute_result"
|
228 | 228 | }
|
|
248 | 248 | },
|
249 | 249 | {
|
250 | 250 | "cell_type": "code",
|
251 |
| - "execution_count": 9, |
| 251 | + "execution_count": 6, |
252 | 252 | "metadata": {},
|
253 | 253 | "outputs": [],
|
254 | 254 | "source": [
|
|
259 | 259 | },
|
260 | 260 | {
|
261 | 261 | "cell_type": "code",
|
262 |
| - "execution_count": 16, |
| 262 | + "execution_count": 7, |
263 | 263 | "metadata": {},
|
264 | 264 | "outputs": [],
|
265 | 265 | "source": [
|
|
273 | 273 | },
|
274 | 274 | {
|
275 | 275 | "cell_type": "code",
|
276 |
| - "execution_count": 17, |
| 276 | + "execution_count": 8, |
277 | 277 | "metadata": {},
|
278 | 278 | "outputs": [
|
279 | 279 | {
|
|
293 | 293 | " 8 | 160 | 20 | 0.0123935101 | f\n",
|
294 | 294 | " 9 | 180 | 20 | 0.0488020532 | nadir\n",
|
295 | 295 | " 10 | 200 | 20 | 0.0176305024 | f\n",
|
296 |
| - "The simulation took 1.103 minutes.\n" |
| 296 | + "The simulation took 1.072 minutes.\n" |
297 | 297 | ]
|
298 | 298 | }
|
299 | 299 | ],
|
|
314 | 314 | },
|
315 | 315 | {
|
316 | 316 | "cell_type": "code",
|
317 |
| - "execution_count": 18, |
| 317 | + "execution_count": 9, |
318 | 318 | "metadata": {},
|
319 | 319 | "outputs": [
|
320 | 320 | {
|
|
353 | 353 | },
|
354 | 354 | {
|
355 | 355 | "cell_type": "code",
|
356 |
| - "execution_count": 34, |
| 356 | + "execution_count": 10, |
357 | 357 | "metadata": {},
|
358 | 358 | "outputs": [],
|
359 | 359 | "source": [
|
|
369 | 369 | },
|
370 | 370 | {
|
371 | 371 | "cell_type": "code",
|
372 |
| - "execution_count": 20, |
| 372 | + "execution_count": 11, |
373 | 373 | "metadata": {},
|
374 | 374 | "outputs": [
|
375 | 375 | {
|
|
389 | 389 | " 8 | 160 | 1 | 0.000000E+00 | 0.000000E+00 | 0.000000E+00 | f\n",
|
390 | 390 | " 9 | 180 | 1 | 0.000000E+00 | 0.000000E+00 | 0.000000E+00 | f\n",
|
391 | 391 | " 10 | 200 | 1 | 0.000000E+00 | 0.000000E+00 | 0.0035921908 | ideal\n",
|
392 |
| - "The simulation took 1.120 minutes.\n" |
| 392 | + "The simulation took 1.095 minutes.\n" |
393 | 393 | ]
|
394 | 394 | }
|
395 | 395 | ],
|
|
417 | 417 | },
|
418 | 418 | {
|
419 | 419 | "cell_type": "code",
|
420 |
| - "execution_count": 22, |
| 420 | + "execution_count": 12, |
421 | 421 | "metadata": {},
|
422 | 422 | "outputs": [
|
423 | 423 | {
|
|
461 | 461 | },
|
462 | 462 | {
|
463 | 463 | "cell_type": "code",
|
464 |
| - "execution_count": 30, |
| 464 | + "execution_count": 13, |
465 | 465 | "metadata": {},
|
466 | 466 | "outputs": [],
|
467 | 467 | "source": [
|
|
470 | 470 | },
|
471 | 471 | {
|
472 | 472 | "cell_type": "code",
|
473 |
| - "execution_count": 31, |
| 473 | + "execution_count": 14, |
474 | 474 | "metadata": {},
|
475 | 475 | "outputs": [],
|
476 | 476 | "source": [
|
|
487 | 487 | },
|
488 | 488 | {
|
489 | 489 | "cell_type": "code",
|
490 |
| - "execution_count": 38, |
| 490 | + "execution_count": 15, |
491 | 491 | "metadata": {},
|
492 | 492 | "outputs": [
|
493 | 493 | {
|
|
534 | 534 | },
|
535 | 535 | {
|
536 | 536 | "cell_type": "code",
|
537 |
| - "execution_count": 39, |
| 537 | + "execution_count": 16, |
538 | 538 | "metadata": {},
|
539 | 539 | "outputs": [],
|
540 | 540 | "source": [
|
|
550 | 550 | },
|
551 | 551 | {
|
552 | 552 | "cell_type": "code",
|
553 |
| - "execution_count": 40, |
| 553 | + "execution_count": 17, |
554 | 554 | "metadata": {},
|
555 | 555 | "outputs": [
|
556 | 556 | {
|
|
570 | 570 | " 8 | 160 | 18 | 0.000000E+00 | 0.000000E+00 | 0.0367281977 | ideal\n",
|
571 | 571 | " 9 | 180 | 20 | 0.000000E+00 | 0.000000E+00 | 0.0147077342 | f\n",
|
572 | 572 | " 10 | 200 | 20 | 0.000000E+00 | 0.000000E+00 | 0.0072011434 | nadir\n",
|
573 |
| - "The simulation took 1.095 minutes.\n" |
| 573 | + "The simulation took 1.110 minutes.\n" |
574 | 574 | ]
|
575 | 575 | }
|
576 | 576 | ],
|
|
591 | 591 | },
|
592 | 592 | {
|
593 | 593 | "cell_type": "code",
|
594 |
| - "execution_count": 46, |
| 594 | + "execution_count": 18, |
595 | 595 | "metadata": {},
|
596 | 596 | "outputs": [
|
597 | 597 | {
|
|
632 | 632 | "\n",
|
633 | 633 | "Once again, it looks like the constrained model is not quite as \"converged\" as the unconstrained model since the latter shows some cheaper and lower emissions solutions. The example further illustrates how ``Osier`` can use \"objective\" functions as objectives and/or constraints!"
|
634 | 634 | ]
|
635 |
| - }, |
636 |
| - { |
637 |
| - "cell_type": "code", |
638 |
| - "execution_count": null, |
639 |
| - "metadata": {}, |
640 |
| - "outputs": [], |
641 |
| - "source": [] |
642 |
| - }, |
643 |
| - { |
644 |
| - "cell_type": "markdown", |
645 |
| - "metadata": {}, |
646 |
| - "source": [] |
647 | 635 | }
|
648 | 636 | ],
|
649 | 637 | "metadata": {
|
|
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