What does an optimal power system look like? The answer varies for each country, city and customer. Read the white papers on power system optimisation for various countries below.
The energy landscape is in transition towards more flexible and sustainable energy systems. We envision a 100% renewable energy future.
How would a cost-optimal 100% renewable electricity system look like in Central Europe versus West Africa?
What is the path to a 100% renewable energy future and the role of flexibility in making this a reality?
What is the cost of a “carbon-free” system versus a “carbon-neutral system”? And what are these costs relative to?
This study looks for a way to optimally balance the power system, renewables and to further reduce carbon emissions in Brazil.
This white paper explores a new path that would enable California to meet its goal of 100% clean electricity by 2040 — five years ahead of schedule.
High Renewable Integration and the optimal power system. Read more in the white paper.
What are the most cost-effective ways forward for the country’s power sector?
Accelerate renewables to tackle energy costs and increase energy independence. The modelling shows a clear positive impact on reducing Europe’s exposure to the gas market, its carbon emissions and the cost of electricity - leading to lower bills for consumers.
Germany can achieve significant emission reductions and lower electricity bills by phasing out coal in 2030. But, the country must have a clear plan to ramp up renewables and pivot to sustainable fuels to achieve net zero.
The recent rapid growth of wind and solar-generating capacity in Ukraine, supported by high feed-in tariffs (FITs), has put financial and technical pressure on the power system and sparked a debate about the country’s ability to sustain this trend.
What are the best paths for an island to go green with an optimal system cost? Read more in the white paper.
By optimising its power systems, Southeast Asia can smoothly transition to net zero by mid-century and also cut their levelized cost of electricity by over 20%.
By optimising the Sri Lankan power system, cumulative savings up to USD 5 billion could be made.
By optimising the power system in Taiwan, up to USD 12.5 billion savings could be made while reducing CO2 intensity by 17%.
How could the province of Jiangsu in China reduce CO2 emission intensity by 45% while achieving CNY 64 billion in accumulated savings? Read more in the white paper.