iCity 2: DiaOpt4iCity

Large amounts of energy are lost through building envelopes of existing buildings and within existing heat networks. In addition to thermal insulation requirements, facades also contribute to the uncontrolled distribution and absorption of noise emissions and to the heating of public spaces. In the context of further digitization of everyday life, new future information networks (e.g., 5G technologies), and the expected further densification of urban areas, additional requirements for buildings, neighborhoods, and infrastructure will arise whose effects cannot yet be fully assessed. These are thus at the heart of a sustainable and livable city of the future.

In the project "Diagnostics for the Categorization and Optimization of Building Structures and Heat Networks", new strategies and technologies of a "smart city" are developed in a transdisciplinary way. The focus is on holistic approaches for buildings, facades and energy infrastructures in the context of energy efficiency, sustainability, climate protection, quality of life and health.

These topics are addressed in the following three subprojects (SP):

SP1: Digital twin for AI-based operational optimization of heating networks

SP2: Facade materials/facade condition of buildings by image analysis, acoustics and photogrammetry

SP3: Sound and vibration protection of balconies and stairs

In this context, new methodological approaches such as "Internet of Things" are combined with modern technologies such as "Artificial Intelligence" to form holistic solution approaches. The methods developed are standardized for further practical use by means of suitable simplification. New, innovative methods such as psychoacoustics will also be defined for evaluating the solution approaches. At the same time, potential analyses based on sensors will be carried out in several planned "case studies". In addition, numerical and empirical simulation models for prognosis will be developed and validated.

Development of planning tools and methods with new technologies to holistic solution approaches, which are standardized by suitable simplification for practical further use. Real-time data sets (laboratory) and potential analyses (case studies) are merged in databases and analyzed via AI processes. Simulation models for forecasting are developed and validated.