Energy Informatics Can Optimize the Design of Supply and Demand Networks

Robert Bradshaw, Brian Donnellan

Abstract

This paper proposes that a new green IS framework – Energy Informatics – may provide the best means of optimising the design of supply and demand networks. The framework proposes an integrated systems solution which incorporates technical and architectural design elements, eco-goals, and human stakeholders and places a particular focus on the role of information systems in effectively integrating and managing service supplier and service user information to optimize network efficiency. The paper explores the potential of the framework through a case study of an innovative bikeshare initiate from MIT called The Copenhagen Wheel. The study demonstrates that the framework has the potential to inform system design in the bikeshare domain. Further research will be required to determine its potential in informing other supply and demand areas.

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Paper Citation


in Harvard Style

Bradshaw R. and Donnellan B. (2013). Energy Informatics Can Optimize the Design of Supply and Demand Networks . In Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-8565-55-6, pages 222-227. DOI: 10.5220/0004406202220227


in Bibtex Style

@conference{smartgreens13,
author={Robert Bradshaw and Brian Donnellan},
title={Energy Informatics Can Optimize the Design of Supply and Demand Networks},
booktitle={Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2013},
pages={222-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004406202220227},
isbn={978-989-8565-55-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - Energy Informatics Can Optimize the Design of Supply and Demand Networks
SN - 978-989-8565-55-6
AU - Bradshaw R.
AU - Donnellan B.
PY - 2013
SP - 222
EP - 227
DO - 10.5220/0004406202220227