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Authors: Florian Maier 1 ; Hicham Belhassan 2 ; Nikolai Klempp 3 ; Falko Koetter 1 ; Elias Siehler 4 ; Daniel Stetter 1 and Andreas Wohlfrom 1

Affiliations: 1 Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO, Germany ; 2 Cologne Institute of Renewable Energy, Germany ; 3 Institute of Energy Economics and Rational Energy Use, Germany ; 4 Flughafen Stuttgart, Germany

Keyword(s): Energy Management, Structured Energy Procurement, Infrastructures, Smart Energy.

Related Ontology Subjects/Areas/Topics: Economic Models of Energy Efficiency ; Energy and Economy ; Energy Management Systems (EMS) ; Energy Monitoring ; Energy Profiling and Measurement ; Energy-Aware Systems and Technologies ; Optimization Techniques for Efficient Energy Consumption

Abstract: Infrastructure operators in Germany such as airports or factories are confronted with rising energy costs throughout the last years and consequently have to reconsider their energy supply and management. This competitive pressure raises the question of an optimal procurement strategy, which takes into account the individual organizational framework and conditions. In the context of the SmartEnergyHub research project this problem was addressed at the example of the Stuttgart Airport by the implementation of a decision support system to manage and evaluate long-term procurement plans. Uncertainties related to future price developments and load fluctuations have been taken into account with the help of a Monte Carlo simulation. Ex-post analysis show, that the cost of hedging has been between 10 - 15 % of stock procurement costs in the investigated scenarios due to falling energy stock prices. This raises the question, how much certainty in budget may cost. The developed software module creates transparency of the cost structure of historic procurements and facilitates the comparison of different future procurement plans with regard to expected costs and risks. The focus of the presented work lies on infrastructure operators, who follow a structured energy procurement strategy based on a long-term contract with a single energy supplier. (More)

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Paper citation in several formats:
Maier, F.; Belhassan, H.; Klempp, N.; Koetter, F.; Siehler, E.; Stetter, D. and Wohlfrom, A. (2017). Decision Support for Structured Energy Procurement. In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-241-7; ISSN 2184-4968, SciTePress, pages 77-86. DOI: 10.5220/0006361500770086

@conference{smartgreens17,
author={Florian Maier. and Hicham Belhassan. and Nikolai Klempp. and Falko Koetter. and Elias Siehler. and Daniel Stetter. and Andreas Wohlfrom.},
title={Decision Support for Structured Energy Procurement},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2017},
pages={77-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006361500770086},
isbn={978-989-758-241-7},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Decision Support for Structured Energy Procurement
SN - 978-989-758-241-7
IS - 2184-4968
AU - Maier, F.
AU - Belhassan, H.
AU - Klempp, N.
AU - Koetter, F.
AU - Siehler, E.
AU - Stetter, D.
AU - Wohlfrom, A.
PY - 2017
SP - 77
EP - 86
DO - 10.5220/0006361500770086
PB - SciTePress