Gothenburg. Optimizing investments in and operation of Positive Energy Districts for emissions reductions

In recent years there has been an increased interest in finding cost efficient strategies to reduce the emissions of the building stock, in the effort

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Schoonschip Communitiy ©Isabel Nabuurs

Kaiserslautern. Dynamic Electricity Prices and Flexibility Marketing for the Floating Energy Community Schoonschip

The Schoonschip energy community is an association of 30 floating houses with photovoltaic systems, heat pumps and battery storage units in a side arm of the IJ canal, north of Amsterdam. What makes it special is the innovative technologies that enable the members to manage their energy supply collectively. Since 2018, for example, they have been able to maximize the use of their own energy generation by integrating the Amperix energy management system developed at the Fraunhofer ITWM and thus jointly reduce the amount of energy they still need to purchase.

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Coimbra. Null dimension battery model to design an embedded digital twin

Large electric energy storage systems, such as batteries, are crucial components for the utilization of intermittent renewable energy sources. For domestic use (solar energy), a

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»AD-Net District Heating« Simulates and Optimizes Operation of Heating Networks

Kaiserslautern. Software Solution »AD-Net District Heating« – Dynamic Simulation for the Networks of Tomorrow

The district heating of the future as a central component of a sustainable energy system requires new control concepts as well as communicative approaches. With our software tool »AD-Net District Heating«, we at the Fraunhofer ITWM dynamically simulate and optimize the operation of heating networks in real time.

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Seismic Imaging Provides an Insight Into the Earths Subsurface

The seismic reflection method involves sending acoustic waves thousands of meters under the Earth’s surface. The reflected signals provide scientists with information about the characteristics of the subsurface. Researchers at the Fraunhofer ITWM are able to process seismic data in greater detail.

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Developing an artificial intelligence algorithm to reduce the operating costs of offshore wind turbine structures

The Iberdrola Foundation has awarded one of the Grants for Research in Energy and the Environment to Vincenzo Nava, a researcher at the Basque Center

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Forecasting Energy Demand using Time Series Analysis

Joseph O’Brien and Eoin Mooney A time series is an ordered sequence of values of a variable at equally spaced times. Some business metrics naturally

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Energy 2027

by Gary O’Keeffe Technological improvements, political pressure, and global GDP growth are changing the world’s energy consumption. In this blog post, I discuss the energy

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WORKSHOP BIG DATA IN ENERGY, September 18, Santiago de Compostela

On September 18, 2015 it will be held at the Aula Magna of the Faculty of Mathematics of the University of Santiago de Compostela, the Workshop

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