In this study, we identify the hydrogen investments and the main routes of hydrogen production in Brazil. We focus on sustainable hydrogen that is obtained from renewable energy sources or using carbon capture, utilization and storage (CCUS) to neutralize emissions. The identified results...

Although electricity supply is still dominated by fossil fuels, it is expected that renewable sources will have a much larger contribution in the future due to the need to mitigate climate change. Therefore, this paper presents a new framework for developing Future Electricity Scenarios...

Due to ambitious climate change targets and other energy and industrial policy goals such as the nuclear phase-out, the energy transition in Germany is heading toward a completely renewable energy system. This Weekly Report is the first to describe scenarios for 100 percent renewable energy...

Angesichts ambitionierter Klimaschutzziele und weiterer energie- und industriepolitischer Ziele wie dem Atomausstieg läuft die Energiewende in Deutschland auf eine Vollversorgung mit erneuerbaren Energien hinaus. Dieser Wochenbericht beschreibt erstmals Szenarien für eine zu 100 Prozent durch...

As the technology of climate-dependent energy sources is improving - both cheaper and more efficient - the energy sources are becoming more accessible for many of the nations in Africa. However, little is known about the underlying climate that would therefore be harvested by renewable...

While executives emphasize that human resources (HR) are a firm's biggest asset, the level of research attention devoted to planning talent pipelines for complex global organizational environments does not reflect this emphasis. Numerous challenges exist in establishing human resource management...

Lift-and-project (L &P) cuts are well-known general 0–1 programming cuts which are typically deployed in branch-and-cut methods to solve MILP problems. In this article, we discuss ways to use these cuts within the framework of Benders' decomposition algorithms for solving two-stage...

The hub location-allocation problem under uncertainty is a real-world task arising in the areas such as public and freight transportation and telecommunication systems. In many applications, the demand is considered as inexact because of the forecasting inaccuracies or human's unpredictability....

The vast majority of stochastic optimization problems require the approximation of the underlying probability measure, e.g., by sampling or using observations. It is therefore crucial to understand the dependence of the optimal value and optimal solutions on these approximations as the sample...