Oxford MSc Energy Policy Supplemental Essay Example: Same Field Deepening (Score 93)

The piece I submit is a 3,200-word independent policy memo titled 'Unlocking Battery Storage for Grid Flexibility in Java–Bali: Regulatory Barriers and Dispatch Incentive Design,' completed in the final semester of my MEng Electrical Engineering programme at Universitas Indonesia. I chose this excerpt — sections two and three, covering regulatory mapping and incentive modelling — rather than the full memo because these pages contain the sharpest methodological argument and sit within the 3,000-word guidance. The rest of the memo addresses implementation sequencing, which overlaps with my personal statement and would add length without adding analytical depth. The excerpt demonstrates one concrete method: a comparative regulatory audit set against a quantitative dispatch-cost model. I mapped Indonesia's existing grid-code provisions against PLN's 2022 ancillary-services framework, then built a simplified merit-order simulation to estimate the revenue gap that prevents behind-the-meter battery operators from bidding into frequency-regulation markets. The central argument the sample proves is that the barrier is not technical capacity — Java–Bali's installed lithium-ion storage already meets response-time thresholds — but a tariff classification anomaly that treats storage discharge as generation, triggering a double-charge under current PLN wheeling rules. Identifying that anomaly required reading engineering standards alongside regulatory text, which is precisely the cross-domain move the MSc Energy Policy programme trains students to make systematically. I am candid about the memo's limits. The dispatch model uses publicly available PLN load data rather than metered site-level data, so the revenue-gap estimate carries a confidence interval I could not formally quantify at undergraduate level. The regulatory comparison also stops at national instruments; sub-national grid-operator discretion in East Java is noted but not modelled. The MSc's core modules in energy economics and regulatory governance, alongside the quantitative methods stream, would give me the tools — particularly regression-based policy evaluation and formal cost–benefit frameworks — to close both gaps. I see the memo as a proof of analytical intent rather than a finished contribution, and I am submitting it because it shows the question I am already asking, not a polished answer. The excerpt runs to approximately 2,900 words including tables. If the department permits a one-page appendix, I would attach the merit-order simulation parameters; if not, the memo is self-contained and the core argument stands without them.