The objectives of the project build on the results of the predecessor project "3%" at various levels. The first step is to develop a crowd sourcing tool to analyse the readiness for implementation. In a next step, storage scenarios, a 3D city model and information from the CrowdSourcing tool will also be developed. A major goal is to improve the transfer in society and economy, e.g. by developing innovative business models and financing solutions.
The project is divided into five work packages (AP):
WP 4.1 focuses on the development of a crowd sourcing tool to analyse the willingness of private owners to implement the project. A scientifically independent and non-binding information platform is provided for this purpose.
In WP 4.2, a tool at the individual building level will be used to analyze energy-related implementation options for individual buildings and smaller groups of buildings and to support concrete implementation measures, e.g. for a condominium owners' association.
In WP 4.3 a monitoring concept is developed. This involves determining which data must be recorded and transmitted with which time resolution in order to create schedules for the operation of distributed systems and storage facilities. Furthermore, the monitoring data will be used to analyse tariff models in order to create incentives for grid-related behaviour of both consumers and renewable generation systems.
In WP 4.4, suitable locations for the integration of thermal and electrical storage solutions in combination with a SmartGrid for electricity and heat supply are found.
To improve the transfer of (technological) innovations to the economy and society, WP 4.5 will support the development of business models (e.g. for sector coupling, neighbourhood solutions) and develop appropriate financing solutions. Ideally, this process should support the creation of innovative start-ups.
In order to efficiently support and promote the neighbourhood-based mobilisation for the implementation of renovation and efficiency measures for a climate-neutral building stock, municipalities and expert planners are dependent on digital tools and a consistent database. Together with the project partners, HFT Stuttgart is contributing to this within the framework of the project with the development of two tools in order to collect data for the municipal building stock individually by owners, operators and energy supply companies ("WEG-Tool") and then to analyse it technically and evaluate it ecologically and economically with the so-called crowdsourcing tool ("CS-Tool") in various renovation scenarios.
In the project, a user-friendly procedure was developed for this purpose, with which the data collection of buildings for energetic refurbishment is made possible and a graphic representation of the energetic demand (electricity, heat, cooling) as well as the calculation of different refurbishment scenarios with regard to their economic and ecological performance can take place. Intuitive operation and simplified presentation of the results enable planners, energy consultants, neighbourhood managers, building owners and the financial sector in particular to quickly access all relevant information for the energy assessment and planning of buildings and neighbourhoods and to increase the willingness of building owners in general to implement energy efficiency measures. To ensure user-friendliness, the tools were optimised in an iterative process of practical testing by various user groups. Ideally, the tools can be used directly by the aforementioned user groups after the project; extensive training should be limited to the corresponding (online) documentation.
Management | Prof. Dr. Tobias Popović (ZNWM), Prof. Dr.-Ing. Volker Coors (ZGG), Prof. Dr. Bastian Schröter (zafh.net) |
Partner | B.&S.U. Beratungs- und Servicegesellschaft Umwelt mbH, German Association for Housing, Urban and Regional Planning |
Funding | Federal Ministry for Economic Affairs and Climate Action |
Call for proposal | EnEff:City |
Duration | 01.01.19 (01.04.2019) – 31.12.2021, extended until 30.09.2022 |