Social-technical modelling of interdependencies for integration of companies into the multi-level energy system

整个项目包含三个子项目，它们相辅相成，处理多层次能源系统改造的不同维度。目标是设计一个联合的跨学科模型。首字母缩略词多层次包括技术设备，电网水平，天然气和供热系统的互连以及地方，区域和超区域领域的社会活动，包括各种短期和长期决策。这包括个人和机构，如生产消费者、公司，甚至政治决策。该项目的联合方法在多主体框架内对复杂社会技术系统的不同层次上的各种实体进行建模。在这方面，将对技术和社会模块内部和之间的动态相互依赖和非线性相互作用进行建模和分析。因此，得出能源系统向可再生能源系统转型的情景和发展路径及其优化结论是可行的。作为整个项目的一部分，以下研究问题是该子项目的核心：-如何在多代理框架内调节具有几种不同来源和能源效率限制的复杂工业供应系统？-对工业供给系统进行优化如何影响过耦合供给系统的鲁棒性、稳定性和效率？对工业系统进行过耦合系统的控制干预如何影响工业系统？-如何在一个模拟框架内包含不同的时间框架？-如何在整个系统的时间框架和层次上对代理的优化策略进行建模？——产业合作和产业区位虚拟合并对产业网络优化和效率有何影响？-合作和知识交流的变化分别对公司的行为改变对创新、效率和整个供应系统产生了怎样的影响？-如何在建模框架中实现政治和企业决策？

The overall project contains three subprojects, which are supplementary to each other and deal with different dimensions of the transformation of the multi-level energy system. The target is to design a joint interdisciplinary model. The acronym multi-level comprises of technical devices, grid levels, interconnections to gas and heat systems as well as social activities in local, regional and supra-regional areas including various short- and long-term decisions. This contains individual persons and institutions like prosumers, companies and even political decisions. The joint approach of the project models the various entities on the different levels of the complex social-technical system within a multi-agent framework. In this respect the dynamic interdependencies and non-linear interactions within and between the technical and social modules will be modeled and analyzed. As a consequence it will be feasible to draw conclusions about scenarios and development paths and its optimization for the transformation of the energy system towards a system based on renewable energies. The following research questions are the core of this subproject as part of the overall project: - How can complex industrial supply a system with several different sources and energy efficiency constrains be modulated by within a multi-agent framework? – How can the robustness, stability and efficiency of the over coupling supply system be influenced by optimizing the industrial supply system and how is the industrial system be influences by control intervention of the over coupling system? - How can various time frames be included within one simulation framework? - How can optimization strategies of agents be modeled throughout time-frames and levels of the system? – How will the optimization and the efficiency of industrial grids be affected by industrial cooperation and virtual merger of industrial locations? – How will innovation, efficiency and the overall supply system be affected by behavior modification of companies respectively by changes in cooperation and exchange of knowledge? - How can be political and entrepreneurial desicions be implemented in the modeling framework?