In the past two centuries, energy consumption per capita has significantly increased. At the same time the fundamentals of energy provision have continuously developed towards fossil energy sources. This extended use of finite, unequally distributed and emission-intensive energy sources poses a challenge to both the energy, the climate and therefore the socio-ecological systems. Consequently, solutions are needed to reduce the fossil energy demand while fulfilling our daily energy services. District heating systems powered by renewable energy can contribute to this societal mission. This paper presents the co called Eco.District.Heat-kit, a novel planning model supporting future decision-making processes regarding grid-bound heating. The interdisciplinary approach assesses the feasibility of district heating systems at different locations from a qualitative and quantitative perspective. Given the lack of quick and simple planning tools in this field, the Eco.District.Heat-kit provides a time-efficient pre-evaluation on the basis of widely available input data. The decision support model rates district heating networks regarding the thematic areas of (1) integrated spatial and energy planning (2) costs, (3) resources, and (4) environment and climate. In addition, it involves a long-term planning horizon by including spatial development and climate scenarios until 2050. Finally, the Eco.District.Heat-kit identifies parameters both positively and negatively influencing the overall rating. This enables end-users to sort out non-optimal configurations before entering a more detailed planning stage. Due to the straightforward methodological approach and the focus on basic parameters of district heating system planning, the Eco.District.Heat-kit supports energy suppliers, urban-planners and decision-makers at the beginning of planning processes. In order to increase both transparency and applicability of the model, its functionality and input parameters are disclosed within this paper, enabling the recreation and adaptation towards user-specific needs and local situations.

中文翻译：

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城市地区网格约束供热系统的跨学科决策支持模型

在过去的两个世纪中，人均能源消耗显着增加。同时，能源供应的基础已经朝着化石能源不断发展。有限，不均匀分布和排放密集型能源的这种广泛使用对能源，气候以及社会生态系统都构成了挑战。因此，需要在满足我们日常能源服务的同时减少化石能源需求的解决方案。由可再生能源驱动的区域供热系统可以为这一社会使命做出贡献。本文介绍了一个名为Eco.District.Heat-kit的公司，这是一种新颖的计划模型，可支持有关网格约束供热的未来决策过程。跨学科方法从定性和定量的角度评估了不同位置的区域供热系统的可行性。由于该领域缺乏快速简便的计划工具，因此Eco.District.Heat-kit可以在广泛可用的输入数据的基础上提供高效的预评估。决策支持模型对以下主题领域的区域供热网络进行了评分：（1）综合空间和能源规划（2）成本，（3）资源以及（4）环境和气候。此外，它还涉及长期规划的视野，其中包括直到2050年的空间发展和气候情景。最后，Eco.District.Heat-kit可以确定对总体评级产生正面和负面影响的参数。这使最终用户可以在进入更详细的计划阶段之前对非最佳配置进行分类。由于采用了简单易行的方法论方法，并且集中于区域供热系统规划的基本参数，因此Eco.District.Heat-kit在规划过程的开始就为能源供应商，城市规划人员和决策者提供支持。为了增加该模型的透明度和适用性，本文中公开了其功能和输入参数，从而可以重新创建和适应特定于用户的需求和当地情况。