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The Energy Application Domain Extension for CityGML: enhancing interoperability for urban energy simulations

机译:CityGML的能源应用领域扩展:增强城市能源模拟的互操作性

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Abstract The road towards achievement of the climate protection goals requires, among the rest, a thorough rethinking of the energy planning tools (and policies) at all levels, from local to global. Nevertheless, it is in the cities where the largest part of energy is produced and consumed, and therefore it makes sense to focus the attention particularly on the cities as they yield great potentials in terms of energy consumption reduction and efficiency increase. As a direct consequence, a comprehensive knowledge of the demand and supply of energy resources, including their spatial distribution within urban areas, is therefore of utmost importance. Precise, integrated knowledge about 3D urban space, i.e. all urban (above and underground) features, infrastructures, their functional and semantic characteristics, and their mutual dependencies and interrelations play a relevant role for advanced simulation and analyses. As a matter of fact, what in the last years has proven to be an emerging and effective approach is the adoption of standard-based, integrated semantic 3D virtual city models, which represent an information hub for most of the above-mentioned needs. In particular, being based on open standards (e.g. on the CityGML standard by the Open Geospatial Consortium), virtual city models firstly reduce the effort in terms of data preparation and provision. Secondly, they offer clear data structures, ontologies and semantics to facilitate data exchange between different domains and applications. However, a standardised and omni-comprehensive urban data model covering also the energy domain is still missing at the time of writing (January 2018). Even CityGML falls partially short when it comes to the definition of specific entities and attributes for energy-related applications. Nevertheless, and starting from the current version of CityGML (i.e. 2.0), this article describes the conception and the definition of an Energy Application Domain Extension (ADE) for CityGML. The Energy ADE is meant to offer a unique and standard-based data model to fill, on one hand, the above-mentioned gap, and, on the other hand, to allow for both detailed single-building energy simulation (based on sophisticated models for building physics and occupant behaviour) and city-wide, bottom-up energy assessments, with particular focus on the buildings sector. The overall goal is to tackle the existing data interoperability issues when dealing with energy-related applications at urban scale. The article presents the rationale behind the Energy ADE, it describes its main characteristics, the relation to other standards, and provides some examples of current applications and case studies already adopting it.
机译:摘要在实现气候保护目标的道路上,除其他事项外,需要全面重新考虑从地方到全球各个层面的能源规划工具(和政策)。然而,正是在城市中,能源的生产和消耗量最大,因此将注意力特别集中在城市上是有意义的,因为它们在减少能耗和提高效率方面具有巨大的潜力。因此,最直接的结果是,全面了解能源的需求和供应,包括其在城市地区的空间分布。有关3D城市空间的精确,集成的知识,即所有城市(上方和地下)功能,基础设施,其功能和语义特征以及它们之间的相互依存关系和相互关系,对于高级模拟和分析都起着重要的作用。实际上,最近几年被证明是一种新兴且有效的方法是采用基于标准的集成语义3D虚拟城市模型,该模型代表了满足上述大多数需求的信息中心。特别地,虚拟城市模型基于开放标准(例如,基于开放地理空间联盟的CityGML标准),首先减少了数据准备和提供方面的工作量。其次,它们提供清晰的数据结构,本体和语义,以促进不同领域和应用程序之间的数据交换。然而,在撰写本文时(2018年1月),仍然缺少涵盖能源领域的标准化且全面的城市数据模型。就能源相关应用程序的特定实体和属性的定义而言,甚至CityGML都存在部分不足。不过,从当前版本的CityGML(即2.0版)开始,本文将介绍CityGML的能源应用域扩展(ADE)的概念和定义。 Energy ADE旨在提供一个独特且基于标准的数据模型,以填补上述空白,另一方面,允许进行详细的单栋建筑能耗模拟(基于复杂的模型) (建筑物理和居住行为)和全市自下而上的能源评估,尤其侧重于建筑部门。总体目标是解决在城市范围内与能源相关的应用程序时存在的数据互操作性问题。本文介绍了Energy ADE的基本原理,描述了其主要特性,与其他标准的关系,并提供了一些当前应用实例以及已经采用该标准的案例研究。

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