An uncertainty-aware online planning algorithm for the sustainable electrification of festivals

Iliana Pappi; Tim Baarslag; Michael Kaisers; Nikolaos G. Paterakis

doi:10.1109/SEST.2018.8495825

An uncertainty-aware online planning algorithm for the sustainable electrification of festivals

Iliana Pappi, Tim Baarslag, Michael Kaisers, Nikolaos G. Paterakis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.

Original language	English
Title of host publication	2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings
Publisher	IEEE
ISBN (Electronic)	9781538653265
DOIs	https://doi.org/10.1109/SEST.2018.8495825
Publication status	Published - 17 Oct 2018
Externally published	Yes
Event	2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Sevilla, Spain Duration: 10 Sept 2018 → 12 Sept 2018

Conference

Conference	2018 International Conference on Smart Energy Systems and Technologies, SEST 2018
Country/Territory	Spain
City	Sevilla
Period	10/09/18 → 12/09/18

Funding

ACKNOWLEDGEMENT This research has received funding through the ERA-Net Smart Grids Plus project Grid-Friends, with support from the European Unions Horizon 2020 research and innovation programme. This work is part of the Veni research programme with project number 639.021.751, which is financed by the Netherlands Organisation for Scientific Research (NWO). The Authors would like to kindly thank Watt-now [10] for providing anonymized festival data.

Keywords

energy storage
festival electrification
online planning
renewable energy
stochastic programming

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SEST.2018.8495825

Cite this

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title = "An uncertainty-aware online planning algorithm for the sustainable electrification of festivals",

abstract = "Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.",

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author = "Iliana Pappi and Tim Baarslag and Michael Kaisers and Paterakis, {Nikolaos G.}",

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note = "2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 ; Conference date: 10-09-2018 Through 12-09-2018",

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Pappi, I, Baarslag, T, Kaisers, M & Paterakis, NG 2018, An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. in 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings., 8495825, IEEE, 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018, Sevilla, Spain, 10/09/18. https://doi.org/10.1109/SEST.2018.8495825

An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. / Pappi, Iliana; Baarslag, Tim; Kaisers, Michael et al.
2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings. IEEE, 2018. 8495825.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - An uncertainty-aware online planning algorithm for the sustainable electrification of festivals

AU - Pappi, Iliana

AU - Baarslag, Tim

AU - Kaisers, Michael

AU - Paterakis, Nikolaos G.

PY - 2018/10/17

Y1 - 2018/10/17

N2 - Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.

AB - Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.

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KW - renewable energy

KW - stochastic programming

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An uncertainty-aware online planning algorithm for the sustainable electrification of festivals

Abstract

Conference

Funding

Keywords

UN SDGs

Access to Document

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