Abstract
In accordance with the Paris Agreement, Laos has outlined sector-specific decarbonisation targets to achieve by 2030 in its Nationally Determined Contribution (NDC). However, by focusing on maximising decarbonisation efforts, the synergies and trade-offs between climate, land, energy and water systems (CLEWs) have been overlooked. This study utilises the open-source energy modelling system (OSeMOSYS) to assess the impacts of four decarbonisation measures on Laos’ CLEWs. A series of scenarios over 2020-2070, including a sensitivity analysis, were devised to compare emis-sions, costs, land cover changes, energy consumption and water usage. The results show that Laos’ forestry sector target is infeasible considering other sectors’ land requirements. Increasing forest cover to 60% of land area would require reducing crop production by 8,830,000 tonnes and in-creasing crop imports at the cost of $91,200,000 between 2020 and 2030. The sensitivity analysis highlights power export growth in determining emissions; with Laos’ reliance on coal production to meet power export demands, the energy-based NDC targets are inconsequential. This study demonstrates the need for a nexus-thinking approach in policymaking to account for the secondary effects of decarbonisation measures on resource systems. This conclusion provides a foundation for Laos’ next NDC and offers a framework for assessing decarbonisation pathways in other countries.
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Title
Techno-economic climate, land, energy and water systems dataset for long-term decarbonisation modelling in Laos
Description
Dataset compiled for the purpose of long-term climate, land, energy and water systems (CLEWs) modelling in Laos. The set includes energy-specific data on Laos' energy generation technologies and future potential reserves, electricity generation and demand, electricity exports, emissions, and power transmission and distribution for the years 2020 to 2070. There is also land-specific data on annual crop demand, crop imports, and current and projected land cover changes. Water-specific data focuses on the water supply required for the energy and agriculture sectors, and the output activity ratios for evapotranspiration, groundwater recharge, and surface water run-off for different crop and land cover types.
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