Featured insights

Update
Shedding light on Pakistan’s distributed solar revolution
New analysis by TransitionZero and Policy Research Institute for Equitable Development (PRIED) reveals how much of Pakistan’s booming solar imports have turned into real capacity on the ground

Analysis
Modelling 24/7 Carbon Free Electricity in Taiwan
Hourly matching commercial and industrial demand with clean power in Taiwan could save nearly US$1 billion and 5 MtCO₂e annually, all at a lower unit cost than recent tariffs, according to new TransitionZero modelling.

Update
Open source interoperability: integrating OSeMOSYS and PyPSA for power system analysis
How our unified, interoperable data model allows results from one model framework can be easily shared between and across multiple others
All articles

Update
Tracking the solar revolution: inside the Q3 2025 Solar Asset Mapper release
From Saudi Arabia’s mega projects to Pakistan’s rooftops — TZ-SAM’s Q3 2025 update tracks solar’s advance across continents, alongside new research on distributed systems.

Update
Shedding light on Pakistan’s distributed solar revolution
New analysis by TransitionZero and Policy Research Institute for Equitable Development (PRIED) reveals how much of Pakistan’s booming solar imports have turned into real capacity on the ground

Update
Open source interoperability: integrating OSeMOSYS and PyPSA for power system analysis
How our unified, interoperable data model allows results from one model framework can be easily shared between and across multiple others

Update
Solar Asset Mapper Q1 2025 data release
Top-level highlights from our second rolling quarterly release of TZ-SAM

Update
Southeast Asia at the crossroads
Energy transition trends to watch in 2025

Update
Solar Asset Mapper is now released quarterly
Following today’s Q4 2024 release of TZ-SAM, we’re bringing you updates more regularly

Update
Our secret master plan
Don't tell anybody!

Update
Solar Asset Mapper shines a brighter spotlight on solar growth
Improvements to TZ-SAM’s underlying machine learning technology make it more reliable, more accurate and faster to run
