How renewable energy is reshaping Namibia's mining workforce and power supply - African Mining Online

Contributing sentiments towards policy:

67% : Namibia has a natural advantage when it comes to renewable energy.
67% : Immediate benefits aside, renewable energy encourages long-term operational resilience.
65% : This growing demand for renewable energy is creating exciting opportunities for technicians, engineers and operators, particularly in rural communities.
64% : For renewable energy to drive growth in Namibia's mining sector, mining companies, energy providers and training organisations must work closely together.
63% : By Jacques Farmer, managing director of PRISMA Training Solutions Namibia is boldly staking its claim as a leader in renewable energy in southern Africa.
63% : This is more than the adoption of renewable energy.
63% : By integrating renewable energy, mines can stabilise their power supply, ensure continuous production and protect both output and profitability.
63% : Renewable energy also allows mining companies to reduce greenhouse gas emissions and improve environmental performance.
62% : Renewable energy is transforming how mines operate, how workers are trained and how communities benefit, and Namibia is on track to prove that mining can grow in a responsible and sustainable way.
59% : The country's sunny plains, windy regions and potential for green hydrogen create strong opportunities for clean power.
57% : The move to renewable energy is reshaping workforce demands across sectors.
56% : With abundant solar resources, steady winds in select regions and wide swathes of undeveloped land, the country is well positioned to scale up clean energy production.
55% : Renewable energy can help mines reduce operational downtime, lower carbon emissions and meet environmental compliance standards, all while strengthening resilience against fluctuating energy prices.
46% : Generating energy on or near mining sites reduces reliance on imported electricity and fossil fuels, giving operations more control over supply and costs.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.