@inproceedings{918e623a60a04d318dfd928457191f82,
title = "Towards an agent-based simulation of building stock development for the city of hamburg",
abstract = "In the context of European climate goals municipalities have an increasing interest in an accurate estimation of current and future energy demand in buildings, as the domestic energy consumption is one of the major adjusting screws for the reduction of electrical and thermal energy consumption, whereas the demand for space heating has the highest impact. As part of the ongoing GEWISS project it is planned to create a geographical information system (GIS) to visualize domestic and industrial heat consumption in the city of Hamburg (Germany) to support political decision making by linking the development of urban areas and the district heating grid. Additionally, it is planned to provide simulation capabilities to offer planning assistance for future development. This paper will present the underlying agent-based simulation system that is used to simulate the development of the building stock. Thereby, the simulation approach and first results regarding the development of the renovation state of the building stock based on a study about the renovation behavior of different types of home-owners of detached and terraced houses will be presented.",
author = "Thomas Preisler and Tim Dethlefs and Wolfgang Renz and Ivan Dochev and Hannes Seller and Irene Peters",
note = "Publisher Copyright: {\textcopyright} 2017 PTI.; 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 ; Conference date: 03-09-2017 Through 06-09-2017",
year = "2017",
month = nov,
day = "10",
doi = "10.15439/2017F271",
language = "English",
series = "Annals of Computer Science and Information Systems",
publisher = "Polish Information Processing Society",
pages = "317--326",
editor = "Maria Ganzha and Leszek Maciaszek and Marcin Paprzycki",
booktitle = "Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017",
}
