About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 7 of 7 results for "Rabindra Nepal" clear search
Peer reviewed Agent-based Renewables model for Integrated Sustainable Energy (ARISE)
Muhammad Indra Al Irsyad Anthony Halog Rabindra Nepal | Published Wednesday, November 29, 2017 | Last modified Friday, October 05, 2018ARISE is a hybrid energy model incorporating macroeconomic data, micro socio-economic data, engineering data and environmental data. This version of ARISE can simulate scenarios of solar energy policy for Indonesia case.
PowerGen-ABM
Muhammad Indra Al Irsyad Anthony Halog Rabindra Nepal Deddy Priatmodjo Koesrindartoto | Published Sunday, August 04, 2019PowerGen-ABM is an optimisation model for power plant expansions from 2010 to 2025 with Indonesian electricity systems as the case study. PowerGen-ABM integrates three approaches: techno-economic analysis (TEA), linear programming (LP), and input-output analysis (IOA) and environmental analysis. TEA is based on the revenue requirement (RR) formula by UCDavis (2016), and the environmental analysis accounts for resource consumption (i.e., steel, concrete, aluminium, and energy) and carbon dioxide equivalent (CO2e) emissions during the construction and operational stages of power plants.
The model implements a model that reflects features of a rural hill village in Nepal. Key features of the model include water storage, social capital and migration of household members who then send remittances back to the village.
The purpose of the AdaptPumpa model is to analyze the robustness of the Pumpa irrigation system in Nepal to climate change.
Peer reviewed Pumpa irrigation model
Irene Perez Ibarra Marco Janssen | Published Wednesday, January 09, 2013 | Last modified Saturday, April 27, 2013This is a replication of the Pumpa model that simulates the Pumpa Irrigation System in Nepal (Cifdaloz et al., 2010).
Land Use in the Chitwan Valley
Alex Zvoleff | Published Monday, June 02, 2014chitwanabm is a spatially explicit agent-based model of population and land use in the Chitwan Valley, Nepal, designed to explore feedbacks between population and environment, with a heavy focus on community context and individual-level variation.
Institutional change
Abigail Sullivan | Published Friday, October 07, 2016 | Last modified Sunday, December 02, 2018This model builds on another model in this library (“diffusion of culture”).