Principal Investigators:
- Bas van Ruijven (IIASA, Austria, vruijven@iiasa.ac.at)
Shepherd: Alessandro Costantini <alessandro.costantini@cnaf.infn.it>
Entry in the community requirement database: MESSAGEix-GLOBIOM (EAP)
About the pilot
Description of supported work
Objective
Perform modeling studies to explore how future energy systems can evolve and to quantify the tradeoffs, co-benefits, and interlinkages between different aspects of the global energy systems in the context of international climate change policy and sustainable development.
General
This project aims to perform modeling studies to explore how future energy systems can evolve and to quantify the tradeoffs, co-benefits, and interlinkages between different aspects of the global energy systems in the context of international climate change policy and sustainable development.
Such analyses utilize so-called Integrated Assessment Models (IAMs), which are models of the energy, environment, and economic systems in order to quantify key variables of interest in these scenarios such as
emissions pathways consistent with international climate policy goals, tradeoffs of climate mitigation with land use and food security, among others.
This project will provide a proof-of-principle platform aimed at performing large scale (10-15k model runs) analyses.
Use Case
The IAM MESSAGEix-GLOBIOM (considered by the applicants at TRL9) will run sequentially on the selected resources where each job is independent from the other in a parametric fashion.
The Model will run in the resources (Virtual Machines) provided by EOSC resource providers.
The parametrized simulations, will be submitted by making use of a batch system manually deployed by the applicants.
An exploratory activity has been performed by applicants for running the full software stack in a containerized environment (using docker) on larger compute systems (e.g., HTC). Even if this activity is likely TRL5, it is envisioned as a key software infrastructure product to promote to TRL9 during this project. Starting from such assumption, a Mesos/Marathon cluster can be instantiated on the provided cloud resources and the parametrized simulations can run in it as independent containers.
The output carried out from the simulations will be stored in a distributed environment where can be accessed for post-processing analysis.
Team
| Participant | Role | Name and Surname |
|---|---|---|
| VAN RUIJVEN Bas | PI | vruijven@iiasa.ac.at |
| WAGNER Pat | Researcher | wagner@iiasa.ac.at |
| KISHIMOTO Paul | Researcher | kishimot@iiasa.ac.at |
| KUSHIN Nikolay | Researcher | kushin@iiasa.ac.at |
| COSTATNINI Alesasndro | Shepherds | alessandro.costantini@cnaf.infn.it |
Technical Plan
Work planned for Q1 |
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Work planned for Q2 |
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Work planned for Q3 |
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Work planned for Q4 |
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EOSC services and providers
Provider
- INFN-Bari
Services
- EOSC Federated Authentication mechanism
- EGI Cloud Compute service
- Storage service
