Version 1
: Received: 15 February 2017 / Approved: 15 February 2017 / Online: 15 February 2017 (11:20:31 CET)
How to cite:
Hilpert, S.; Günther, S.; Kaldemeyer, C.; Krien, U.; Plessmann, G.; Wiese, F.; Wingenbach, C. Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof). Preprints2017, 2017020055. https://doi.org/10.20944/preprints201702.0055.v1
Hilpert, S.; Günther, S.; Kaldemeyer, C.; Krien, U.; Plessmann, G.; Wiese, F.; Wingenbach, C. Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof). Preprints 2017, 2017020055. https://doi.org/10.20944/preprints201702.0055.v1
Hilpert, S.; Günther, S.; Kaldemeyer, C.; Krien, U.; Plessmann, G.; Wiese, F.; Wingenbach, C. Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof). Preprints2017, 2017020055. https://doi.org/10.20944/preprints201702.0055.v1
APA Style
Hilpert, S., Günther, S., Kaldemeyer, C., Krien, U., Plessmann, G., Wiese, F., & Wingenbach, C. (2017). Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof). Preprints. https://doi.org/10.20944/preprints201702.0055.v1
Chicago/Turabian Style
Hilpert, S., Frauke Wiese and Clemens Wingenbach. 2017 "Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)" Preprints. https://doi.org/10.20944/preprints201702.0055.v1
Abstract
The process of modelling energy systems is accompanied by challenges inherently connected with mathematical modelling. However, due to modern realities in the 21st century, existing challenges are gaining in magnitude and are supplemented with new ones. Modellers are confronted with a rising complexity of energy systems and high uncertainties on different levels. In addition, interdisciplinary modelling is necessary for getting insight in mechanisms of an integrated world. At the same time models need to meet scientific standards as public acceptance becomes increasingly important. In this intricate environment model application as well as result communication and interpretation is also getting more difficult. In this paper we present the open energy modelling framework (oemof) as a novel approach for energy system modelling and derive its contribution to existing challenges. Therefore, based on literature review, we outline challenges for energy system modelling as well as existing and emerging approaches. Based on a description of the philosophy and elementary structural elements of oemof, a qualitative analysis of the framework with regard to the challenges is undertaken. Inherent features of oemof such as the open source, open data, non-proprietary and collaborative modelling approach are preconditions to meet modern realities of energy modelling. Additionally, a generic basis with an object-oriented implementation allows to tackle challenges related to complexity of highly integrated future energy systems and sets the foundation to address uncertainty in the future. Experiences from the collaborative modelling approach can enrich interdisciplinary modelling activities. Our analysis concludes that there are remaining challenges that can neither be tackled by a model nor a modelling framework. Among these are problems connected to result communication and interpretation.
Keywords
open source; energy system modelling; energy system optimization
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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