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，相辅相成，涉及多层次能源系统转型的不同维度。目标是设计一种跨学科的联合模式。多层次包括技术设备、电网水平、与燃气和供热系统的互连以及当地、区域和超区域地区的社交活动，包括各种短期和长期决策。这包括个人和机构，如消费者、公司，甚至政治决策。该项目的联合办法在一个多主体框架内模拟了复杂社会技术系统不同层面上的各种实体。在这方面，将对技术和社会单元内部和之间的动态相互依存关系和非线性互动进行建模和分析。因此，得出关于设想和发展路径及其优化的结论将是可行的，从而使能源系统向以可再生能源为基础的系统转变。以下研究问题是作为整个项目的一部分的这个子项目的核心：-如何在多智能体框架内调节具有多个不同来源和能效约束的复杂工业供应系统？-如何在多智能体框架内调节稳健性，过耦合供给系统的稳定性和效率受工业供给系统优化的影响，工业系统如何受过耦合系统的控制干预影响？-如何将不同的时间框架包含在一个仿真框架内？-如何在系统的时间框架和层次上模拟代理人的优化策略？-产业合作和产业区位的虚拟合并将如何影响产业电网的优化和效率？-创新将如何，效率和整体供给体系分别受到企业行为改变、合作和知识交流的影响？-政治和企业决策如何在建模框架中实施？

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?