Interdependent social-technical modeling for the transformation of 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。该项目的联合方法在多主体框架内对复杂社会技术系统的不同层面上的各种实体进行了模拟。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。以下是作为整个项目的一部分的这个子项目的核心研究问题：-如何降低大量设备和参与者的复杂性，以模拟能源系统的超区域发展？-如何将从每小时发电计划到网络负载直到多年决策的各种时间框架包括在一个模拟框架内？-如何在整个系统的时间框架和水平上模拟代理人的优化策略？-控制系统的输入和系统解决方案的健壮性的后果是什么？-激励对个体实体关于光伏产业长期投资的决策有什么影响，仓库、发电厂等？-如何在整体建模框架中实施政治决策，例如EEG-补贴、区域化、发电站罚款支付等？

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 longterm 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 the complexity of very large numbers of devices and actors be reduced to model a supra-regional development of the energy system?- How can various time frames, from hourly generation schedules, to network loading until multi-year decisions, be included within one simulation framework?- How can optimization strategies of agents be modeled throughout time-frames and levels of the system?- What is the consequence of controlling inputs to the system and for the robustness of the system solution?- What is the impact of incentives on decisions of individual entities regarding long-term investments into PV, storages, power plants, etc.?- How can political decisions be implemented in the overall modeling framework, e.g. EEG-subsidies, regionalization, power station penalty payment, etc.?