Managing the risk associated with uncertain load has always been a challenge for retailers in electricity markets. Yet the load variability has been largely predictable in the past, especially when aggregating a large number of consumers. In contrast, the increasing penetration of unpredictable,...

Feed-in tariffs are a widespread policy instrument to support the diffusion of renewable energy technologies. I investigate the impact of the size-based differentiation of these tariffs on the adoption of residential scale solar photovoltaic (PV) installations in Germany. Exploiting a policy...

Worldwide the demand for solar photovoltaics (PV) has increased significantly over the past decades. This was driven by a price reduction for solar PV systems. A two-stage least squares linear regression yields insights into the price sensitivity for residential customers in the U.S., and...

In renewable power generation, solar photovoltaic as clean and green energy technology plays a vital role to fulfill the power shortage of any country. Modeling, simulation and analysis of solar photovoltaic (PV) generator is a vital phase prior to mount PV system at any location, which helps to...

Domestic strategies for the Swiss energy system are likely to be affected by a range of uncertain global challenges, such as natural resource availability and depletion, international climate change policies, and global technology policies. We analyze technological choices for Switzerland under...

Entrepreneurs are often envisioned as small private start-up firms operating against all odds. Here, we investigate how in the context of the Triple Helix various entrepreneurs form communities and drive institutional and technological change. To theoretically shape a socialized view of...

Conventional wastewater treatment plants consume significant amounts of electricity. The constant aeration of the wastewater in order to foster the growth of microorganisms or the pumping of wastewater are two examples for energy-intensive processes within a plant. Case studies have shown that...

The main aim of models has never been to provide numbers, but insights. Still, challenges prevail for modelers to use the best configuration of their models to provide helpful insights. In the case of energy system modelling, this becomes even more complicated due to increasing complexity of the...

A promising tool to achieve more flexibility within power systems is demand re-sponse (DR). End-users in many strands of industry have been subject to research up to now regarding the opportunities for implementing DR programmes. One sector that has received little attention from the literature...

The main purpose of this work is to establish and analyzedistinct scenarios for the evolution of the energy system of the island of Santiago in Cabo Verde in the long term, that is, within the time horizon of 2040. The LEAP (Long-Rang Energy Alternatives Planning) simulation tool was used to...