Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

Edmund Widl,Giorgio Agugiaro,Jan Peters-Anders

doi:10.3390/su13168782

Edmund Widl, Giorgio Agugiaro + Show 1 more

Open Access

https://doi.org/10.3390/su13168782

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Abstract

Worldwide, cities are nowadays formulating their own sustainability goals, including ambitious targets related to the generation and consumption of energy. In order to support decision makers in reaching these goals, energy experts typically rely on simulation models of urban energy systems, which provide a cheap and efficient way to analyze potential solutions. The availability of high-quality, well-formatted and semantically structured data is a crucial prerequisite for such simulation-based assessments. Unfortunately, best practices for data modelling are rarely utilized in the context of energy-related simulations, so data management and data access often become tedious and cumbersome tasks. However, with the steady progress of digitalization, more and more spatial and semantic city data also become available and accessible. This paper addresses the challenge to represent these data in a way that ensures simulation tools can make use of them in an efficient and user-friendly way. Requirements for an effective linking of semantic 3D city models with domain-specific simulation tools are presented and discussed. Based on these requirements, a software prototype implementing the required functionality has been developed on top of the CityGML standard. This prototype has been applied to a simple yet realistic use case, which combines data from various sources to analyze the operating conditions of a gas network in a city district. The aim of the presented approach is to foster a stronger collaboration between experts for urban data modelling and energy simulations, based on a concrete proof-of-concept implementation that may serve as an inspiration for future developments.

Highlights

IntroductionThe integrated planning and operation of traditionally separated energy systems is considered to be an important aspect of making cities more sustainable in the future
Semantic 3D city models provide a representation of urban space, comprising a description of all its relevant entities
The presented work aims at bridging the gap between semantic 3D city modelling and domain-specific simulations of urban energy systems

Summary

Introduction

The integrated planning and operation of traditionally separated energy systems is considered to be an important aspect of making cities more sustainable in the future This means that urban energy systems are supposed to evolve into complex multi-network structures, in contrast to the classical silo-like approach of individual (separated) energy carriers today. The paradigm shift in the planning and operation of urban energy systems towards an increase in sustainability implies a growing number of intricate interactions between previously separated systems and stakeholders. Within this context, simulation-based approaches provide the most viable way of assessing such systems in terms of cost and time effectiveness.

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