Facilitating Model Reuse and Integration in an Urban Energy Simulation Platform

Abstract The need for more sustainable, liveable and resilient cities demands improved methods for studying urban infrastructures as integrated wholes. Progress in this direction would be aided by the ability to effectively reuse and integrate existing computational models of urban systems. Building on the concept of multi-model ecologies, this paper describes ongoing efforts to facilitate model reuse and integration in the Holistic Urban Energy Simulation (HUES) platform - an extendable simulation environment for the study of urban multi-energy systems. We describe the design and development of a semantic wiki as part of the HUES platform. The purpose of this wiki is to enable the sharing and navigation of model metadata – essential information about the models and datasets of the platform. Each model and dataset in the platform is represented in the wiki in a structured way to facilitate the identification of opportunities for model reuse and integration. As the platform grows, this will help to ensure that it develops coherently and makes efficient use of existing formalized knowledge. We present the core concepts of multi-model ecologies and semantic wikis, the current state of the platform and associated wiki, and a case study demonstrating their use and benefit.

[1]  Igor Nikolic,et al.  Multimodel Ecologies: Cultivating Model Ecosystems in Industrial Ecology , 2015 .

[2]  Mary C. Hill,et al.  Integrated environmental modeling: A vision and roadmap for the future , 2013, Environ. Model. Softw..

[3]  Cecelia DeLuca,et al.  The architecture of the Earth System Modeling Framework , 2003, Computing in Science & Engineering.

[4]  J. B. Gregersen,et al.  OpenMI: Open modelling interface , 2007 .

[5]  Murat Cenk Cavusoglu,et al.  Design of a framework for modeling, integration and simulation of physiological models , 2012, Comput. Methods Programs Biomed..

[6]  Ralph Evins,et al.  Multi-level optimization of building design, energy system sizing and operation , 2015 .

[7]  Alexey A. Voinov,et al.  'Integronsters', integral and integrated modeling , 2013, Environ. Model. Softw..

[8]  V. Dorer,et al.  Simulating external longwave radiation exchange for buildings , 2014 .

[9]  Chris Davis,et al.  Making Sense of Open Data: From Raw Data to Actionable Insight , 2012 .

[10]  Joel Spolsky,et al.  The Law of Leaky Abstractions , 2004 .

[11]  Kristina Orehounig,et al.  Variability between domestic buildings: the impact on energy use , 2016 .

[12]  James P. Peerenboom,et al.  Identifying, understanding, and analyzing critical infrastructure interdependencies , 2001 .

[13]  Brian White Definition of Complexity and Its Impact on Organizations , 2012 .

[14]  Stefan Fenz,et al.  SEMERGY: Semantic web technology support for comprehensive building design assessment , 2012 .

[15]  Min Ouyang,et al.  Review on modeling and simulation of interdependent critical infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[16]  Hessam S. Sarjoughian,et al.  Discrete Event Modeling and Simulation Technologies , 2001, Springer New York.

[17]  Paul A. Fishwick,et al.  Knowledge-based simulation : methodology and application , 1991 .