Engineers Clinic
AdvancedEngineering trackDE-CP-12

Grid Demand-Response Optimiser

Optimise when to charge, discharge, shed load or export against real tariff structures and renewable variability.

10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview

Optimise when to charge, discharge, shed load or export against real tariff structures and renewable variability.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

How it is graded
  • Problem & requirements15

    Loads, constraints, standards and success criteria are written down before the design starts.

  • Calculations & analysis30

    Hand calculations or simulation set out step by step with units, assumptions and a check against a second method or code limit.

  • Design output20

    Drawings, models, schematics or code that match the calculations and could be handed to the next person.

  • Validation & files15

    Test data, simulation files, calculation sheets or photos attached, with what each one shows.

  • Report & judgement20

    A clear report that states the result, its limits, cost or risk, and what you would change next.

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
480-hour Germany programme. Germany's Energiewende makes grid flexibility a national engineering priority.
Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.