Distributed Infrastructure for Multi-Energy-Systems Modelling and Co-simulation in Urban Districts

Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Andrea Acquaviva

2018

Abstract

In recent years, many governments are promoting a widespread deployment of Renewable Energy Sources (RES) together with an optimization of energy consumption. The main purpose consists on decarbonizing the energy production and reducing the CO2 footprints. However, RES imply uncertain energy production. To foster this transition, we need novel tools to model and simulate Multi-Energy-Systems combining together different technologies and analysing heterogeneous information, often in (near-) real-time. In this paper, first we present the main challenges identified after a literature review and the motivation that drove this research in developing MESsi. Then, we propose MESsi, a novel distributed infrastructure for modelling and cosimulating Multi-Energy-Systems. This infrastructure is a framework suitable for general purpose energy simulations in cities. Finally, we introduce possible simulation scenarios that have different spatio-temporal resolutions. Space resolution ranges from the single dwelling up to districts and cities. Whilst, time resolution ranges from microseconds, to simulate the operational status of distribution networks, up to years, for planning and refurbishment activities.

Paper Citation

in Harvard Style

Bottaccioli L., Patti E., Macii E. and Acquaviva A. (2018). Distributed Infrastructure for Multi-Energy-Systems Modelling and Co-simulation in Urban Districts.In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-292-9, pages 262-269. DOI: 10.5220/0006764502620269

in Bibtex Style

@conference{smartgreens18,
author={Lorenzo Bottaccioli and Edoardo Patti and Enrico Macii and Andrea Acquaviva},
title={Distributed Infrastructure for Multi-Energy-Systems Modelling and Co-simulation in Urban Districts},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2018},
pages={262-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006764502620269},
isbn={978-989-758-292-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Distributed Infrastructure for Multi-Energy-Systems Modelling and Co-simulation in Urban Districts
SN - 978-989-758-292-9
AU - Bottaccioli L.
AU - Patti E.
AU - Macii E.
AU - Acquaviva A.
PY - 2018
SP - 262
EP - 269
DO - 10.5220/0006764502620269