Urban Energy Simulation Based on 3d City Models : A Service-Oriented Approach

Abstract

ABSTRACT:Recent advancements in technology has led to the development of sophisticated software tools revitalizing growth in different domains. Taking advantage of this trend, urban energy domain have developed several compute intensive physical and data driven models. These models are used in various distinct simulation softwares to simulate the whole life-cycle of energy flow in cities from supply, distribution, conversion, storage and consumption. Since some simulation software target a specific energy system, it is necessary to integrate them to predict present and future urban energy needs. However, a key drawback is that, these tools are not compatible with each other as they use custom or propriety formats. Furthermore, they are designed as desktop applications and cannot be easily integrated with third-party tools (open source or commercial). Thereby, missing out on potential model functionalities which are required for sustainable urban energy management. In this paper, we propose a solution based on Service Oriented Architecture (SOA). Our approach relies on open interfaces to offer flexible integration of modelling and computational functionality as loosely coupled distributed services.

The Use of 3d Geovisualization and Crowdsourcing for Optimizing Energy Simulation

“…It is also possible to simulate heat demand in SimStadt through orchestrated web services (Wate et al, 2016, Rodrigues, 2019. The benefit of this approach is that it makes the simulation available through a network in addition to making the process independent of the operating system and programming language agnostic.…”