@patrickivanuellf2I’m building a carbon-aware orchestrator + digital twin for Indonesian AI data centers. Feedback welcome
Hi everyone, I’m Patrick, a Computer Science student in Semarang, Indonesia. I’ve been running my own online business since 2023, and lately I’ve been building EcoTwin AI.
The problem: AI data centers use a lot of power and water, and in Indonesia operators also have to deal with environmental permitting (AMDAL). Monitoring, workload scheduling and compliance reporting usually live in separate systems.
What EcoTwin AI does: it puts three things in one platform.
Carbon-aware orchestration: real-time inference gets priority, and batch training is deferred when grid carbon intensity is high.
Browser-based 3D digital twin: racks, thermal status and operational state, with no enterprise license needed.
Compliance metrics: PUE, WUE and CUE tracking with time-stamped, audit-friendly logs.
It’s tuned for Indonesian conditions, such as geothermal baseload and variable tropical solar.
Where it stands today: the core engine (carbon analyzer, orchestrator, metrics, compliance logger) works, and there’s a 3D dashboard prototype you can open in a browser with no setup. The grid and sensor data is still simulated. Next on the roadmap are live PLN/renewable-energy data, real facility sensors, and a multi-tenant backend.
Where I’d love feedback:
Is carbon-aware scheduling realistic for data centers in Indonesia, given how the grid is structured? If you’ve worked with data center monitoring, which metrics beyond PUE/WUE/CUE matter most? What’s the best way to get real grid data in Indonesia?
Comments2
Who signs the check for EcoTwin AI at an Indonesian data center: the operations team, or whoever is responsible for AMDAL compliance reporting?
Honest answer: I don’t know yet. EcoTwin is still a prototype with simulated data, and I haven’t validated this with a real operator, so what follows is a hypothesis.
My current guess is a split. The operations/facility team would be the daily user and the champion, since they care about PUE, cooling and workload scheduling. But I suspect the budget gets unlocked by whoever owns environmental compliance (EHS/sustainability or a compliance lead), because AMDAL-related reporting is a recurring obligation, while efficiency gains alone are easier to postpone.
It probably also depends on the operator: a colo provider and a company running its own data center likely have different owners.
You seem to know this space. In your experience, who actually holds the budget for something like this, and is compliance reporting even handled in-house, or outsourced to consultants?
2 comments
Who signs the check for EcoTwin AI at an Indonesian data center: the operations team, or whoever is responsible for AMDAL compliance reporting?
Honest answer: I don’t know yet. EcoTwin is still a prototype with simulated data, and I haven’t validated this with a real operator, so what follows is a hypothesis.
My current guess is a split. The operations/facility team would be the daily user and the champion, since they care about PUE, cooling and workload scheduling. But I suspect the budget gets unlocked by whoever owns environmental compliance (EHS/sustainability or a compliance lead), because AMDAL-related reporting is a recurring obligation, while efficiency gains alone are easier to postpone.
It probably also depends on the operator: a colo provider and a company running its own data center likely have different owners.
You seem to know this space. In your experience, who actually holds the budget for something like this, and is compliance reporting even handled in-house, or outsourced to consultants?