Climate Tech Non-Profit Launches Open-Access Grid Model for Southeast Asia

Photo by Chris Weiher on Unsplash

LONDON [TAC] — Climate technology non-profit TransitionZero has launched an integrated, open-access energy modeling platform covering 10 Southeast Asian nations, aiming to streamline cross-border power planning as the region prepares for expanded regional electricity trade. 

The software upgrade integrates data from 25 sub-national nodes across the Association of Southeast Asian Nations (ASEAN) into a single interface. The platform, called Scenario Builder, allows energy planners to simulate regional power generation, transmission, and trade flows from 2023 through 2050 without requiring proprietary software or specialized coding expertise. 

The rollout comes as ASEAN nations shift away from traditional, isolated long-term power purchase agreements toward interconnected grid infrastructure and short-term cross-border electricity markets. Historically, assessing the financial and logistical viability of cross-border grid links required expensive, closed-source commissioned studies. Planners view regional grid integration as a vital mechanism for cost-effectively scaling renewable energy and reinforcing grid stability across the archipelago. 

“The conversation has moved from whether to build interconnectors to how cross-border markets get designed, how projects get financed, and how decisions get made across jurisdictions,” said Matt Gray, chief executive officer of TransitionZero. Gray noted that the open-access model aims to provide transparent, shared assumptions so that state and private capital can be committed more rapidly. 

The platform enables users to simulate how a surge in renewable energy capacity in one country impacts neighboring grids, where transmission bottlenecks are likely to emerge, and how varying trade structures influence systemic costs. 

By establishing a shared dataset for policymakers in nations including Singapore, Malaysia, Indonesia, and the Philippines, the non-profit aims to eliminate duplicated modeling efforts and strengthen in-house planning capacity within state utilities and regional regulatory bodies.