mattandClaude Sonnet 5
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Executed battery-dispatch run over the full 2018-2020 Attachment 2 series (225.9s, 1096 rolling-horizon windows) and committed the results: outputs/ (dispatch.csv, annual/monthly summaries, summary.json, four figures), README.md (setup, run instructions, assumptions, the one-paragraph approach summary) and RESULTS.md (headline numbers, per-year table, charts, commentary). The full run surfaced three real issues, all fixed rather than papered over: - validate_schedule's soc_within_bounds check used a fixed 1e-6 MWh tolerance for the "state of charge below zero" case, while its sibling soc_matches_power_flows check already scales its tolerance with sqrt(n) for the same reason (CBC's own solver precision accumulating over a long cumulative sum). Over 52,608 half-hours this false-failed on a 5.1e-6 MWh solver-noise dip, not a real violation. Scaled it the same way. - cli.py's summary printed net_of_opex_gbp under the label "Less fixed opex", so the terminal output showed the post-opex profit (£193k) where a reader would expect the opex figure itself (£15k). Split into two correctly-labelled lines. - plots.py's monthly revenue chart stacked Market 1 (always negative here) and Market 2 (always positive) with a single running `bottom`, which is only correct for same-signed series: Market 2's bar completely overlapped and painted over Market 1's, hiding the -£297k Market 1 loss entirely. Now accumulates positive and negative contributions on separate baselines and marks the net. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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| 1 | year | gross_profit_gbp | profit_market_1_gbp | profit_market_2_gbp | charged_mwh | discharged_mwh | equivalent_full_cycles | captured_spread_gbp_per_mwh |
|---|---|---|---|---|---|---|---|---|
| 2 | 2018 | 67799.45428 | -115113.361429 | 182912.815709 | 4096.144098 | 3696.77005 | 972.834224 | 18.340187 |
| 3 | 2019 | 64299.710798 | -103884.584974 | 168184.295772 | 4944.211906 | 4459.443748 | 1173.537828 | 14.418774 |
| 4 | 2020 | 76331.687725 | -78420.110711 | 154751.798435 | 5561.815889 | 5022.246341 | 1321.643774 | 15.198714 |