Your Knowledge Base Around Portfolio Optimization

Dr. Christian Wilke, Project Manager at TransUrban.NRW, on the role of dynamic electricity tariffs in the energy transition and their benefits for building owners and tenants.

Optimizing building operations with software solutions leads to long-term savings, which benefit tenants, operators, and owners alike when costs are allocated.

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The aedifion software solution for optimizing building operations has been certified by TÜV Rheinland to comply with the legal standards of the German Energy Performance of Buildings Act (GEG).

By actively involving users in energy efficient operations, individuals become active drivers of energy savings, paving the way for more sustainable buildings.

The "All Electric Society" describes a vision in which CO₂-neutral electricity becomes the central energy form for the economy and everyday life. The building sector plays a central role in this context.

Collecting operational data from buildings can often pose challenges for technical monitoring. However, there are digital solutions that enable quick and easy data connectivity.

The aedifion cloud platform supports facility managers in the efficient and sustainable management of buildings. This also benefits Benjamin Marten, Technical Property Manager at Sauter FM.

Demand-side management turns buildings into real energy management hubs. We look at how this works and what it takes to get started.

aedifion is Germany's market leader for intelligent building technology control and has raised €12 million from new and existing investors in a Series A financing round.

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Buildings are responsible for a significant proportion of energy consumption in Germany and worldwide. With operational optimization owners can already reach 40% of reduced CO2 emissions.

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aedifion has had all its IT and business processes certified according to the information security standard DIN EN ISO/IEC 27001.

Dr. Christian Wilke, Project Manager at TransUrban.NRW, on the role of dynamic electricity tariffs in the energy transition and their benefits for building owners and tenants.

By actively involving users in energy efficient operations, individuals become active drivers of energy savings, paving the way for more sustainable buildings.

Our buildings hold an underestimated asset: their data. But only those who can translate it into measurable actions will achieve long-term success.

Generative AI will fundamentally change the way we work. Imagine a digital building assistant that continuously develops solutions to the evolving challenges of building operations.

Buildings are responsible for a significant proportion of energy consumption in Germany and worldwide. With operational optimization owners can already reach 40% of reduced CO2 emissions.

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The digital twin holds enormous potential for optimization over the entire life cycle of a building. The technology of the digital twin is thus increasingly becoming a game changer.

The "All Electric Society" describes a vision in which CO₂-neutral electricity becomes the central energy form for the economy and everyday life. The building sector plays a central role in this context.

Technical monitoring, needs-based maintenance and predictive maintenance are only a selection of the terms for technical processes that are mentioned in connection with an optimization of building operation.

Collecting operational data from buildings can often pose challenges for technical monitoring. However, there are digital solutions that enable quick and easy data connectivity.

We explain what the German Building Energy Act (GEG) entails for owners of non-residential buildings from 2024 and why software solutions for digital operational optimization are essential in this context.

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Demand-side management turns buildings into real energy management hubs. We look at how this works and what it takes to get started.

With the start of the smart meter rollout, the German government wants to accelerate the installation of intelligent metering systems. We have compiled the most important questions and answers.

Buildings are responsible for a significant proportion of energy consumption in Germany and worldwide. With operational optimization owners can already reach 40% of reduced CO2 emissions.

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The digital twin holds enormous potential for optimization over the entire life cycle of a building. The technology of the digital twin is thus increasingly becoming a game changer.

Technical monitoring, needs-based maintenance and predictive maintenance are only a selection of the terms for technical processes that are mentioned in connection with an optimization of building operation.

Collecting operational data from buildings can often pose challenges for technical monitoring. However, there are digital solutions that enable quick and easy data connectivity.

The importance of sustainability in the real estate industry is driven not only by a moral responsibility to act but also by growing regulatory pressures.

The adoption of digital building operations represents a key challenge in modern asset management. We demonstrate how data availability can be achieved for any building, regardless of its age or level of digitization.

The digital twin holds enormous potential for optimization over the entire life cycle of a building. The technology of the digital twin is thus increasingly becoming a game changer.

Technical monitoring, needs-based maintenance and predictive maintenance are only a selection of the terms for technical processes that are mentioned in connection with an optimization of building operation.

The aedifion software solution for optimizing building operations has been certified by TÜV Rheinland to comply with the legal standards of the German Energy Performance of Buildings Act (GEG).

With the long-discussed Act on the Allocation of Carbon Dioxide Costs, or CO2KostAufG for short, the German government aims to create better incentives for energy-efficient building refurbishment and a fairer distribution of CO₂ costs between tenants and landlords from January 2023. For commercial buildings, a 50:50 cost split will apply for the time being.

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