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The report details a System Scale Planning (SSP) framework applied to Nepal's hydropower sector, specifically the Karnali Basin. Using a Multi-Objective Evolutionary Algorithm (MOEA) and integration with the SWITCH energy model, the methodology identifies 'pareto-optimal' portfolios of projects that balance installed capacity and cost against environmental and social metrics. Key findings demonstrate that strategic project selection can significantly reduce biodiversity and livelihood impacts for a given level of energy output, and that restricting development on mainstem rivers (Scenario K03) can achieve a favorable balance of low environmental impact and low system cost.

The study evaluates the impacts of sugarcane and jatropha biofuels in sub-Saharan Africa, finding that while sugarcane offers carbon-sequestration benefits and positive socioeconomic impacts for workers, jatropha failed to benefit local communities due to market collapse and low yields. Additionally, the adoption of household ethanol stoves in Maputo was hindered by high costs.

The document evaluates over 20 combinations of power-generating technologies and cooling systems to identify strategies for reducing the environmental footprint of China's power sector. It highlights energy efficiency as the most cost-effective and impactful strategy for reducing both emissions and water use. While wind and run-of-river hydroelectric power are identified as low-impact alternatives, the report warns that certain low-carbon technologies, such as Concentrated Solar Power (CSP) and Carbon Capture and Storage (CCS), can significantly increase water consumption. The World Resources Institute recommends that China implement sectoral water withdrawal quotas and align technology deployment with regional water availability.