Tenaga Nasional Berhad (TNB), Malaysia’s largest electricity utility, has deployed a GIS-powered land valuation system called GeoLVI to replace manual, data-limited processes that caused large gaps between budgeted and actual land acquisition costs for transmission projects. The system gives the utility’s Land Planning Unit spatial analytics capabilities — integrating zoning, infrastructure proximity, and market dynamics — so route selection and cost forecasting for new high-voltage lines can be grounded in evidence rather than estimation.
The stakes are substantial. TNB operates more than 28,000 circuit-kilometers of transmission network across Peninsular Malaysia, Sabah, and Labuan, and is mid-stream in a capital-intensive grid modernization program designed to support a 2050 net-zero target and the ASEAN Power Grid interconnection agenda. Every kilometer of new 275 kV or 500 kV corridor requires precise land budgeting; historically, the Land Planning Unit — created during a 2017 Grid Division restructuring — relied on non-spatial data that could not capture how nearby development, land-use designations, or speculative pricing shifts affected acquisition costs. The result was recurring budget overruns that complicated project approvals and delayed energization.
GeoLVI addresses that blind spot by layering cadastral, planning, and transactional data into a single analytical environment. Planners can now model alternative corridors, quantify the cost impact of routing through agricultural versus industrial zones, and update assumptions as market conditions change. For a utility adding renewable capacity — nearly 2,900 MW domestically plus almost 1,000 MW internationally — and negotiating cross-border power purchase agreements, the ability to lock down land costs early reduces financial risk and accelerates the permitting timeline that often bottlenecks transmission build-out.
The Malaysian case mirrors a broader industry shift: grid operators worldwide are discovering that the hardest part of decarbonization is not generating clean electrons but securing the linear infrastructure to move them. GIS-based land intelligence, once treated as a mapping afterthought, is becoming a core planning discipline. TNB’s experience suggests that utilities which institutionalize spatial cost modeling early will avoid the rework and regulatory friction that plague projects planned with static spreadsheets.
Read the full report at Energy Central.