Coupling Weap and Leap Models Using Interaction Modeling

Mostafa D. Fard, Hessam S. Sarjoughian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


It is useful to model the interactions between the water and energy models separately. A coupled water and energy model using an interaction model lends itself to developing flexible, yet rigorous predictive simulation studies. A WEAP-LEAP interaction model is developed based on the Knowledge Interchange Broker modeling approach. A RESTful simulation framework is developed for coupling the Componentized-WEAP and Componentized-LEAP systems. Every interaction model is defined to have a set of modules where each module has its input and output ports with data transformation schemes. The input and output ports of the Componentized-WEAP and Componentized-LEAP models are coupled with those of the interaction model. A cyclic, synchronous execution protocol is defined for concurrent, bidirectional data transformations. The computational efficiency of this loosely coupled water-energy framework is acceptable compared with the tightly WEAP-LEAP system. This proposed framework shows understanding the water-energy system nexus is advantageous using interaction modeling.

Original languageEnglish (US)
Title of host publicationProceedings of the 2020 Spring Simulation Conference, SpringSim 2020
EditorsFernando J. Barros, Xiaolin Hu, Hamdi Kavak, Alberto A. Del Barrio
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781565553705
StatePublished - May 2020
Event2020 Spring Simulation Conference, SpringSim 2020 - Virtual, Fairfax, United States
Duration: May 18 2020May 21 2020

Publication series

NameProceedings of the 2020 Spring Simulation Conference, SpringSim 2020


Conference2020 Spring Simulation Conference, SpringSim 2020
Country/TerritoryUnited States
CityVirtual, Fairfax


  • Component-based modeling
  • Knowledge Interchange Broker
  • LEAP
  • WEAP
  • Water-Energy Nexus

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation


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