Energy systems lens · /energy-systems

Models that turn heat, power and demand data into engineering decisions.

The strongest energy-system evidence: building simulation, island microgrids, techno-economics, national scenarios, dispatch optimisation, forecasting and distribution-grid studies. Each is shown with its inputs, tools, assumptions and the decision it supports.

6 toolchains

7 core projects

3 decision modes

Model stack

Choose the modelling lens

IDA ICE, HOMER Pro and SAM: from building load to system economics

01 · BOUNDARY

Hylkysaari island and a Stockholm housing cooperative. Estimate building demand, compare renewable supply options, size storage or heat pumps.

02 · METHOD

IDA ICE (envelope, schedules, hourly demand) · HOMER Pro (PV, storage, grid, autonomy economics) · SAM and Excel (LCoE, payback, sensitivity)

03 · EVIDENCE

A complete chain from demand to payback, ending in design recommendations.

04 · RESIDUAL

Scenario or prototype study; no live operational validation is claimed.

OPEN THE IDA ICE AND HOMER CASE →

Decision modes

Three kinds of answer the models give

TECHNO-ECONOMIC

CAPEX, OPEX, LCoE, payback and sensitivity across heating and solar alternatives.

OPERATIONAL DISPATCH

Objective functions and constraints for heat-source allocation, storage and emissions trade-offs.

POLICY AND SYSTEM SCENARIOS

Demand growth, policy assumptions and technology build-out linked to cost and carbon outcomes.

Toolchain

IDA ICEHOMER ProSAMLEAPPythonPuLPscikit-learnPower flow

DOWNLOAD ENERGY SYSTEMS / R&D CV →