We encourage you to republish this article online and in print, it’s free under our creative commons attribution license, but please follow some simple guidelines:
  1. You have to credit our authors.
  2. You have to credit SciDev.Net — where possible include our logo with a link back to the original article.
  3. You can simply run the first few lines of the article and then add: “Read the full article on SciDev.Net” containing a link back to the original article.
  4. If you want to also take images published in this story you will need to confirm with the original source if you're licensed to use them.
  5. The easiest way to get the article on your site is to embed the code below.
For more information view our media page and republishing guidelines.

The full article is available here as HTML.

Press Ctrl-C to copy

New software could help the world go green efficiently – while minimising environmental damage.

Called SWITCH, the tool was presented by a team from the US-based University of California, Berkeley, at the International Alliance of Research Universities' Sustainability Science Congress in Copenhagen, Denmark on 23 October.

The program determines the most efficient way among a myriad of choices and methods to get to a low-carbon future by shifting away from fossil fuels – thus minimising any environmental harm.

But many nations in the developing world lack the information needed to run these data-intensive calculations, said Daniel Kammen, director of the Renewable and Appropriate Energy Laboratory at the University of California, Berkeley, and part of the SWITCH project.

“If you want to do this planning, which has a lot of value, you either have to build national data collection systems or run these scenarios on simulated data, which then brings in significant uncertainties,” he told SciDev.Net at the event.

Money is available for data collection projects, as big data is a “trendy subject” among development donors, he added, but governments often lack the awareness needed to prioritise these activities.

Once the data are there, the tool could help policymakers analyse different choices of technologies, assess their impact on regional air pollution emissions, and work out how much land and water consumption would be needed for each case, said Tessa Beach, a doctoral student at University of California Berkeley as she presented the tool at the event.

The right mix

Beach and her colleagues simulated cost-effective ways to reduce greenhouse gas emissions in western North America by 86 per cent compared with pre-1990 levels.

Comparing current energy use with that predicted by 2050, the model calculates the optimal mix of types of power stations, storage and transmission infrastructure, and where they should be built, to reach this goal.

While the reduction of fossil fuels will help to reduce both atmospheric pollution and water consumption, a system reliant on renewable energy will create increasing pressure on land availability, the model found.

SWITCH has so far modelled scenarios for Chile, China and Nicaragua, and the researchers are building versions for other countries too.

However, while any energy system has environmental trade-offs, it is clear that the impact of renewables is dwarfed by the huge footprint of the dirty fossil fuels sector, says Nasir El Bassam, director of the International Research Centre for Renewable Energies, based in Germany.

Huge leaps forward in manufacturing, which reduce the raw materials and energy needed to build renewable energy systems, are set to widen this gulf even further, he adds – so to argue against renewables in a finite world may not be the best approach. “By the end of this century we won’t have any other resources. We have to develop these systems because we don’t have a choice.”