scholarly journals SUPPORTING CITIES’ EMISSION MITIGATION STRATEGIES: MODELLING URBAN TRANSPORT IN A TIMES ENERGY SYSTEM MODELLING FRAMEWORK

2017 ◽  
Author(s):  
JONAS FORSBERG ◽  
ANNA KROOK-RIEKKOLA
Keyword(s):  
Energy System ◽  
Urban Transport ◽  
Mitigation Strategies ◽  
System Modelling ◽  
Emission Mitigation ◽  
Modelling Framework

scholarly journals The Open Energy Modelling Framework (oemof) - A novel approach in energy system modelling

2017 ◽  
Author(s):  
Simon Hilpert ◽  
Cord Kaldemeyer ◽  
Uwe Krien ◽  
Stephan Günther ◽  
Clemens Wingenbach ◽  
...  
Keyword(s):  
Energy Systems ◽  
Maximum Level ◽  
Energy System ◽  
System Modelling ◽  
System Models ◽  
Modelling Framework ◽  
Novel Approach ◽  
Model Complex ◽  
Energy Modelling ◽  
Development Approach

Energy system models have become indispensable to shape future energy systems by providing insights into different trajectories. However, sustainable systems with high shares of renewable energy are characterised by growing crosssectoral interdependencies and decentralised structures. To capture important properties of increasingly complex energy systems, sophisticated and flexible modelling environments are needed. This paper presents the Open Energy Modelling Framework (oemof) as a novel approach in energy system modelling, representation and analysis. The framework forms a structured set of tools and sub-frameworks to construct comprehensive energy system models and has been published open source under a free licence. Using a collaborative development approach and extensive documentation on different levels, the framework seeks for a maximum level of transparency. Based on a generic graph based description of energy systems it is well suited to flexibly model complex crosssectoral systems ranging from a distributed or urban to a transnational scale. This makes the framework a multi-purpose modelling environment for strategic planning of future energy systems.

scholarly journals A Network Aggregation Tool for the Energy System Modelling Framework Spine

2020 ◽  
Author(s):  
Iasonas Kouveliotis-Lysikatos ◽  
Manuel Marin ◽  
Jon Olason ◽  
Mikael Amelin ◽  
Lennart Soder
Keyword(s):  
Energy System ◽  
System Modelling ◽  
Modelling Framework ◽  
Network Aggregation

scholarly journals Sector Coupling in the North Sea Region—A Review on the Energy System Modelling Perspective

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4298 ◽  
Author(s):  
Md. Nasimul Islam Maruf
Keyword(s):  
Literature Review ◽  
North Sea ◽  
Climate Change Policy ◽  
Energy System ◽  
System Modelling ◽  
The North ◽  
Modelling Framework ◽  
Wide Range ◽  
Energy Modelling ◽  
The North Sea

Sector coupling is one of the emerging topics in recent energy and climate change policy discussions. It can play a significant role in creating the pathway of a renewable-based energy system in the European energy sector. The North Sea region is very likely to play a key role in the transition to a sustainable energy system. Although different energy modelling approaches allow a versatile use, they lead to the problem of an unclear understanding of specific aspects of sector coupling, and the relevance of existing tools and techniques to model and analyze such a system. This paper is aimed at providing a comprehensive understanding of sector coupling and its incorporation in energy system models. Following a thorough literature review on sector coupling and energy system modelling, the paper outlines an approach to select an appropriate tool based on the specific rationales of the research. The paper also presents the open energy modelling framework, ‘Oemof’, as an open model tool to address the complex challenges of energy systems. The conclusions from the literature review provide a detailed understanding of the concept of sector coupling and indicate that it can be advantageous from the viewpoints of decarbonization, flexibility, network optimization, and system efficiency. To solve the coupling barriers, diversified techno-socio-economic circumstances should be taken into account through the use of model collaboration. It is also demonstrated how a list of appropriate tools for model collaboration can be picked up methodologically from an available wide range of models. Finally, ‘Oemof’ is hypothesized as a progressive tool to design a sector-coupled and renewable-based energy system in the North Sea region.

scholarly journals Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

2017 ◽  
Author(s):  
Simon Hilpert ◽  
Stephan Günther ◽  
Cord Kaldemeyer ◽  
Uwe Krien ◽  
Guido Plessmann ◽  
...  
Keyword(s):  
Open Data ◽  
Energy Systems ◽  
Energy System ◽  
System Modelling ◽  
Modelling Framework ◽  
Environment Model ◽  
Novel Approach ◽  
Energy Modelling ◽  
Collaborative Modelling ◽  
Modelling Approach

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.

scholarly journals The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling

2018 ◽  
Vol 22 ◽  
pp. 16-25 ◽  
Author(s):  
S. Hilpert ◽  
C. Kaldemeyer ◽  
U. Krien ◽  
S. Günther ◽  
C. Wingenbach ◽  
...  
Keyword(s):  
Energy System ◽  
Open Science ◽  
System Modelling ◽  
New Approach ◽  
Modelling Framework ◽  
Energy Modelling

scholarly journals The Open Energy Modelling Framework (oemof) - A New Approach to Facilitate Open Science in Energy System Modelling

2018 ◽  
Author(s):  
Simon Hilpert ◽  
Cord Kaldemeyer ◽  
Uwe Krien ◽  
Stephan Günther ◽  
Clemens Wingenbach ◽  
...  
Keyword(s):  
Energy Systems ◽  
Maximum Level ◽  
Energy System ◽  
Open Science ◽  
System Modelling ◽  
System Models ◽  
Modelling Framework ◽  
Novel Approach ◽  
Model Complex ◽  
Energy Modelling

Energy system models have become indispensable to shape future energy systems by providing insights into different trajectories. However, sustainable systems with high shares of renewable energy are characterized by growing cross-sectoral interdependencies and decentralized structures. To capture important properties of increasingly complex energy systems, sophisticated and flexible modelling tools are needed. At the same time open science becomes increasingly important in energy system modelling. This paper presents the Open Energy Modelling Framework (oemof) as a novel approach in energy system modelling, representation and analysis. The framework forms a toolbox to construct comprehensive energy system models and has been published open source under a free license. With a collaborative development based on open processes the framework seeks for a maximum level of participation and transparency to facilitate open science principles in energy system modelling. Based on a generic graph based description of energy systems it is well suited to flexibly model complex cross-sectoral systems and incorporate various modelling approaches. This makes the framework a multi-purpose modelling environment for modelling and analyzing different systems ranging from an urban to a transnational scale.

scholarly journals A Qualitative Evaluation Approach for Energy System Modelling Software—Case Study Results for the Open Energy Modelling Framework (Oemof)

2017 ◽  
Author(s):  
Simon Hilpert ◽  
Cord Kaldemeyer ◽  
Frauke Wiese ◽  
Guido Plessmann
Keyword(s):  
System Analysis ◽  
Focal Point ◽  
Energy Systems ◽  
Energy System ◽  
System Modelling ◽  
Evaluation Approach ◽  
Modelling Framework ◽  
Study Results ◽  
Energy Modelling

The research field of energy system analysis is dealing with increasingly complex energy systems and their respective challenges. Moreover, the requirement for open science has become a focal point of public interest. Both drivers have triggered the development of a broad range of (open) energy models and frameworks in recent years. However, there are hardly any approaches on how to evaluate these tools in terms of their capabilities to tackle energy system modelling challenges. This paper describes a first step towards a flexible evaluation of software to model energy systems. We propose a qualitative approach as an useful supplementary to existing model fact sheets and transparency checklists. We demonstrate the applicability by evaluating the newly developed “Open Energy Modelling Framework” with respect to existing challenges in energy system modelling. The case study results highlight that challenges related to complexity and scientific standards can be tackled to a large extent while the challenges of model utilization and interdisciplinary modelling are only tackled partially. However, the challenge of uncertainty remains for the most part unaddressed at present. Advantages of the evaluation approach lie in its simplicity, flexibility and transferability to other tools. Disadvantages mostly stem from its qualitative nature. Our analysis reveals that some challenges in the field of energy system modelling cannot be addressed by a software as they are on meta level like model result communication and interdisciplinary modelling.

Application of data-driven methods for energy system modelling demonstrated on an adaptive cooling supply system

Energy ◽  
2021 ◽  
pp. 120894
Author(s):  
Thomas Schreiber ◽  
Christoph Netsch ◽  
Sören Eschweiler ◽  
Tianyuan Wang ◽  
Thomas Storek ◽  
...  
Keyword(s):  
Energy System ◽  
Supply System ◽  
Data Driven ◽  
System Modelling

Identifying land cover suitability factors for photovoltaic installations with focus on cropland and urban areas

2021 ◽  
Author(s):  
Madhura Yeligeti ◽  
Wenxuan Hu ◽  
Yvonne Scholz ◽  
Kai von Krbek
Keyword(s):  
Land Cover ◽  
Urban Areas ◽  
Energy Systems ◽  
Energy System ◽  
Climatic Conditions ◽  
System Modelling ◽  
Solar Photovoltaic ◽  
Land Cover Types ◽  
The World ◽  
Urban Settlements

<p>Solar photovoltaic (PV) systems will foreseeably be an integral part of future energy systems. Land cover area analysis has a large influence on estimatiin of long-term solar photovoltaic potential of the world in high spatial detail. In this regard, it is often seen in contemporary works, that the suitability of various land cover categories for PV installation is considered in a yes/no binary response. While some areas like natural parks, sanctuaries, forests are usually completely exempted from PV potential calculations, other land over categories like urban settlements, bare, sparsely vegetated areas, and even cropland can principally support PV installations to varying degrees. This depends on the specific land use competition, social, economic and climatic conditions, etc. In this study, we attempt to evaluate these ‘factors of suitability’ of different land cover types for PV installations.</p><p>As a basis, the openly available global land cover datasets from the Copernicus Land Monitoring Service were used to identify major land cover types like cropland, shrubland, bare, wetlands, urban settlements, forests, moss and snow etc. For open area PV installations, with a focus on cropland, we incorporated the promising technology of ‘Agri-voltaics’ in our investigation. Different crops have shown to respond positively or negatively, so far, to growing under PV panels according to various experimental and commercial sources. Hence, we considered 18 major crops of the world (covering 85% of world cropland) individually and consequently, evaluated a weighted overall suitability factor of cropland cover for PV, for three acceptance scenarios of future.</p><p>For rooftop PV installations in urban areas, various socio-economic and geographical influences come in play. The rooftop area available and further usable for PV depends on housing patterns (roof type, housing density) which vary with climate, population density and socio-economic lifestyle. We classified global urban areas into several clusters based on combinations of these factors. For each cluster, rooftop area suitability is evaluated at a representative location using the land cover maps, the Open Street Map and specific characteristics of the cluster.</p><p>Overall, we present an interdisciplinary approach to integrate technological, social and economic aspects in land cover analysis to estimate PV potentials. While the intricacies may still be insufficient for planning small localized energy systems, this can reasonably benefit energy system modelling from a regional to international scale.</p>

Selected ‘Starter Kit’ energy system modelling data for Paraguay (#CCG)

2021 ◽  
Author(s):  
Carla Cannone ◽  
Lucy Allington ◽  
Ioannis Pappis ◽  
Karla Cervantes Barron ◽  
Will Usher ◽  
...  
Keyword(s):  
Model Development ◽  
Energy System ◽  
Simple Zero ◽  
System Model ◽  
System Modelling ◽  
Local Data ◽  
Energy System Model ◽  
Starting Point ◽  
Modelling Studies ◽  
Access To Data

Abstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to energy system modelling, causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Paraguay, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Sign in / Sign up

Export Citation Format

Share Document