Our insights
Working with our clients on critical challenges results in new industry insights, find below a selection of premium content generated by our experts:
How Much Could South Asia Benefit from Regional Electricity Cooperation and Trade?
Demand for electricity in South Asia has been growing at annual rates close to 5% over the last decades supported by a sustained increase in access rates and in economic development. Currently, national power systems are operated and developed relatively independently, however, the modeling results indicate that the regional electricity cooperation and trade could reduce total undiscounted electricity supply costs in the region by US$222 billion, or more than US$9 billion per year until 2040.
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Iberian electricity Iberian electricity system in the face of an increase in wind power generation
The security of supply is a fundamental issue in electrical power systems. Wind power generation, due to its variable and unpredictable nature, presents a challenge to power system operation. Wind power in Spain represents already more than 17% of the total installed power, and it is expected to represent a larger share in the future.
The study of wind power has high relevance in the Iberian Peninsula due to its limited interconnection capacity. The present article presents a study about the impact of wind power in the electrical grid
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Large Scale Renewable Power Integrationwith Electric Vehicles
A transition from a fossil fuel based mobility to one based on electricity from renewable sources can allow for significant greenhouse gas reductions as well as of air pollutants and noise in urban areas. In addition, greater independence from imported oil in the transport sector can be achieved. One major advantage of electric vehicles is the high flexibility in charging times, which can be used to integrate renewable power generation and to make the operation of the system more efficient. The modelling exercise performed proves not only the feasibility of a power system with a RES share of over 85% assuming an ambitious network expansion, but also that electric vehicles can integrate the renewable power generation required for decarbonizing the transport sector.
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Long-term scenarios and strategies for the expansion of renewables in Germany
The German government’s plans for the energy transition provide a long-term roadmap for the transformation of the energy supply in Germany. The challenges associated are considerable and not yet fully understood. This study presents the results of several investigations of the transformation considering electricity, heat and fossil fuels, clearly outlining the development scenarios for each, including dynamic simulations across Europe for validation considering the role of load balancing, network expansion, demand response and electricity storage among others.
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Prospects for electric vehicles with a high share of renewables
The report evaluates up to 2050 the prospects of electromobility in a supply system with a high share of renewables. For this, several scenarios were assessed to identify the prerequisites for successful market development. Additionally, dynamic simulations of power system operation were carried out. The analyses show the potential of controlled charging of vehicle batteries for electricity balancing as well as, the feasibility of grid integration of electromobility and synergy effects with decentralized power generators at distribution level.
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Revolutionizing Power System Planning for a Renewable Future
As the power sector transitions towards higher renewable energy penetration, traditional planning tools face significant challenges in delivering accurate and timely results. Many of these tools rely on simplifications such as load blocks or typical days, which can introduce errors of 50% in capacity expansion planning with high shares of variable renewables. Ceres, our advanced power system planning tool, addresses these shortcomings with state-of-the-art techniques, cloud computing, and cutting-edge acceleration technology. By considering every hour over a multidecade planning horizon, Ceres delivers precise and actionable results in under 30 minutes, facilitating the planning process for utilities, regulators, and policymakers.
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Power System Reliability Analysis with Fides: A Breakthrough in Performance
Ensuring the reliability of power systems has never been more critical. As grids incorporate increasing amounts of renewable energy, accurate reliability assessment becomes essential to prevent blackouts and ensure economic operation. Traditional reliability assessment tools, while effective, often struggle with computational performance, requiring days to deliver results. Our new tool for power system reliability analysis, Fides, leverages an advanced implementation of Monte Carlo simulation, advanced variance reduction techniques, our proprietary acceleration technology, and cloud-based high-performance computing. With Fides, utilities and grid operators can obtain highly accurate reliability assessments in just minutes.
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Navigating the energy transition safely: An optimal approach for optimal energy procurement
The world is at a pivotal moment in its energy journey. Electricity demand is rising across the globe as industries, heating and transportation electrify, urbanization accelerates, and digital transformation drives consumption upwards. At the same time, governments and businesses are facing mounting pressure to meet ambitious climate targets that call for a drastic reduction in carbon emissions. The growing demand for electricity, combined with the urgent need for decarbonization, presents a significant challenge for both government and private sector leaders.
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Transforming Electricity Price Forecasting with Advanced Computing
Developing long-term electricity price scenarios and forecasts is crucial for market participants, including utilities, grid operators, energy traders, and policymakers. Accurate forecasting helps optimize bidding strategies, manage risks, and ensure system reliability. However, predicting electricity prices is inherently complex due to the high volatility of demand, renewable generation, fuel prices, and market conditions. Traditional models often rely on simplifications and heuristics that struggle to capture market dynamics accurately, especially with increasing renewable penetration.
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