scholarly journals Integrating Behavioural Aspects in Energy System Modelling—A Review

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4579
Author(s):  
David Huckebrink ◽  
Valentin Bertsch
Keyword(s):  
Technology Acceptance ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy System ◽  
System Modelling ◽  
Economic Dimension ◽  
System Models ◽  
The Many ◽  
Sustainable Energy System ◽  
Behavioural Aspects

Many countries worldwide have adopted policies to support the expansion of renewable energy sources aimed at reducing greenhouse gas emissions, combating climate change, and, more generally, establishing a globally sustainable energy system. As a result, energy systems around the world are undergoing a process of fundamental change and transformation that goes far beyond the technological dimension. While energy system models have been developed and used for several decades to support decision makers in governments and companies, these models usually focus on the techno-economic dimension, whereas they fall short in addressing and considering behavioural and societal aspects of decisions related to technology acceptance, adoption, and use. In fact, it is often the societal dimension that comes with the greatest challenges and barriers when it comes to making such a socio-technical transformation happen in reality. This paper therefore provides an overview of state-of-the-art energy system models on the one hand and research studying behavioural aspects in the energy sector on the other hand. We find that these are two well-developed fields of research but that they have not yet been integrated sufficiently well to provide answers to the many questions arising in the context of complex socio-technical transformation processes of energy systems. While some promising approaches integrating these two fields can be identified, the total number is very limited. Based on our findings, research gaps and potentials for improvement of both energy system models and behavioural studies are derived. We conclude that a stronger collaboration across disciplines is required.

scholarly journals Role of the national energy system modelling in the process of the policy development

2012 ◽  
Vol 16 (3) ◽  
pp. 703-715 ◽  
Author(s):  
Matevz Pusnik ◽  
Boris Sucic ◽  
Andreja Urbancic ◽  
Stane Merse
Keyword(s):  
System Analysis ◽  
Renewable Energy Sources ◽  
Research Work ◽  
Calculated Data ◽  
Energy Systems ◽  
Energy System ◽  
Alternative Possibilities ◽  
System Modelling ◽  
Small Energy ◽  
New Approach

Strategic planning and decision making, nonetheless making energy policies and strategies, is very extensive process and has to follow multiple and often contradictory objectives. During the preparation of the new Slovenian Energy Programme proposal, complete update of the technology and sector oriented bottom up model of Reference Energy and Environmental System of Slovenia (REES-SLO) has been done. During the redevelopment of the REES-SLO model trade-off between the simulation and optimisation approach has been done, favouring presentation of relations between controls and their effects rather than the elusive optimality of results which can be misleading for small energy systems. Scenario-based planning was integrated into the MESAP (Modular Energy System Analysis and Planning) environment, allowing integration of past, present and planned (calculated) data in a comprehensive overall system. Within the paper, the main technical, economic and environmental characteristics of the Slovenian energy system model REES-SLO are described. This paper presents a new approach in modelling relatively small energy systems which goes beyond investment in particular technologies or categories of technology and allows smooth transition to low carbon economy. Presented research work confirms that transition from environment unfriendly fossil fuelled economy to sustainable and climate friendly development requires a new approach, which must be based on excellent knowledge of alternative possibilities of development and especially awareness about new opportunities in exploitation of energy efficiency and renewable energy sources.

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.

Assessment of soft and hard linking approaches of integrated water-energy simulation

2020 ◽  
Author(s):  
Mikiyas Etichia ◽  
Eduardo Alejandro Martinez ◽  
Julien Harou ◽  
Mathaios Panteli
Keyword(s):  
Renewable Energy Sources ◽  
Computational Cost ◽  
Energy Systems ◽  
Energy System ◽  
Domestic Water ◽  
Sustainable Solutions ◽  
System Models ◽  
Advantages And Disadvantages ◽  
Operation Rules ◽  
Trade Offs

<p>The strong synergies between water and energy use are becoming increasingly evident nowadays. It is becoming more and more apparent that significant benefits can be gained if both resources are managed in an integrated manner, which can be critical to improve efficiencies, reduce trade-offs, and find better and more sustainable solutions to future energy and water resources scarcity problems. Two types of approaches have drawn attention to integrate water and power system models, namely soft-link and hard-link approaches. Soft-linking approaches involve iterations, wherein the two system models are simulated independently, and their outputs (e.g., water available for hydropower generation) are passed to the other model until convergence is reached. In hard-link approaches, both the water and power systems are simulated with a single optimization model. More research to understand better the implications of different water-energy linking approaches, their computational cost, flexibility, and scalability are critically needed.</p><p>In this work water and energy system network models are linked with varying levels of integration (i.e., gradually moving from soft to hard link approaches) to demonstrate the advantages and disadvantages of the different types of links. The water and energy model includes multi-purpose storage reservoirs, irrigation, and domestic water users, renewable energy sources, and conventional power generators. Results show that soft linking approaches are more suitable for water-energy systems with fixed reservoir operation rules. Hard linking approaches are proven to be more suitable for cases with well established water and energy markets and can be computationally cheaper than soft linking approaches. Better joint simulation will help investigate better ways to manage and invest in water-energy systems.</p>

scholarly journals A Review on Time Series Aggregation Methods for Energy System Models

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 641 ◽  
Author(s):  
Maximilian Hoffmann ◽  
Leander Kotzur ◽  
Detlef Stolten ◽  
Martin Robinius
Keyword(s):  
Time Series ◽  
Input Data ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy System ◽  
Machine Learning Techniques ◽  
Future Research ◽  
System Models ◽  
Number Of Publications ◽  
The Impact

Due to the high degree of intermittency of renewable energy sources (RES) and the growing interdependences amongst formerly separated energy pathways, the modeling of adequate energy systems is crucial to evaluate existing energy systems and to forecast viable future ones. However, this corresponds to the rising complexity of energy system models (ESMs) and often results in computationally intractable programs. To overcome this problem, time series aggregation (TSA) is frequently used to reduce ESM complexity. As these methods aim at the reduction of input data and preserving the main information about the time series, but are not based on mathematically equivalent transformations, the performance of each method depends on the justifiability of its assumptions. This review systematically categorizes the TSA methods applied in 130 different publications to highlight the underlying assumptions and to evaluate the impact of these on the respective case studies. Moreover, the review analyzes current trends in TSA and formulates subjects for future research. This analysis reveals that the future of TSA is clearly feature-based including clustering and other machine learning techniques which are capable of dealing with the growing amount of input data for ESMs. Further, a growing number of publications focus on bounding the TSA induced error of the ESM optimization result. Thus, this study can be used as both an introduction to the topic and for revealing remaining research gaps.

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.

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>

scholarly journals The Potential Of Simulating Energy Systems: The Multi Energy Systems Simulator Model

2021 ◽  
Author(s):  
Luigi Bottecchia ◽  
Pietro Lubello ◽  
Pietro Zambelli ◽  
Carlo Carcasci ◽  
Lukas Kranzl
Keyword(s):  
Open Source ◽  
Spatial Scales ◽  
Optimal Solution ◽  
Energy Systems ◽  
Energy Transition ◽  
Simulation Models ◽  
Energy System ◽  
System Modelling ◽  
Energy System Model ◽  
Urban Level

Energy system modelling is an essential practice to assist a set of heterogeneous stakeholders in the process of defining an effective and efficient energy transition. From the analysis of a set of open source energy system models, it has emerged that most models employ an approach directed at finding the optimal solution for a given set of constraints. On the contrary, a simulation model is a representation of a system that is used to reproduce and understand its behaviour under given conditions, without seeking an optimal solution. Given the lack of simulation models that are also fully open source, in this paper a new open source energy system model is presented. The developed tool, called Multi Energy Systems Simulator (MESS), is a modular, multi-node model that allows to investigate non optimal solutions by simulating the energy system. The model has been built having in mind urban level analyses. However, each node can represent larger regions allowing wider spatial scales to be be represented as well. MESS is capable of performing analysis on systems composed by multiple energy carriers (e.g. electricity, heat, fuels). In this work, the tool’s features will be presented by a comparison between MESS itself and an optimization model, in order to analyze and highlight the differences between the two approaches, the potentialities of a simulation tool and possible areas for further development.

Multi-Scale, Multi-Dimensional Modelling of Future Energy Systems

2015 ◽  
pp. 113-135 ◽  
Author(s):  
Catalina Spataru ◽  
Andreas Koch ◽  
Pierrick Bouffaron
Keyword(s):  
Material Science ◽  
Control Strategies ◽  
Energy Systems ◽  
Simulation Models ◽  
Energy System ◽  
System Modelling ◽  
Multi Scale ◽  
Future Challenges ◽  
Urban Energy ◽  
Power System Engineering

This chapter provides a discussion of current multi-scale energy systems expressed by a multitude of data and simulation models, and how these modelling approaches can be (re)designed or combined to improve the representation of such system. It aims to address the knowledge gap in energy system modelling in order to better understand its existing and future challenges. The frontiers between operational algorithms embedded in hardware and modelling control strategies are becoming fuzzier: therefore the paradigm of modelling intelligent urban energy systems for the future has to be constantly evolving. The chapter concludes on the need to build a holistic, multi-dimensional and multi-scale framework in order to address tomorrow's urban energy challenges. Advances in multi-scale methods applied to material science, chemistry, fluid dynamics, and biology have not been transferred to the full extend to power system engineering. New tools are therefore necessary to describe dynamics of coupled energy systems with optimal control.

The Bioceanic Amazon Corridors: An Opportunity for Development of Sustainable Energy System

2004 ◽  
Author(s):  
Pedro Mendoza G. ◽  
Maximiliano Arroyo Ulloa ◽  
Vincenzo Naso
Keyword(s):  
Alternative Energy ◽  
Energy Systems ◽  
Energy System ◽  
Renewable Sources ◽  
Energy Technologies ◽  
Local Resources ◽  
Decentralized Energy ◽  
Sustainable Energy System ◽  
The Impact ◽  
Principal Energy

The bioceanic Amazon corridor represents a development opportunity for the Peruvian and Brazilian economy but this economic evolution is linked to the production and use of energy. Energy is a conditioning factor of economic growth and development and the application of conventional (or alternative) energy systems is strongly influenced by both quantitative and qualitative trends in energy consumption. Decentralized production of energy is necessary, and new decentralized energy technologies based on renewable sources could provide additional income opportunities, decreasing environmental risk along Amazon corridor, and providing clean fuel and electricity. It’s necessary that the bioceanic Amazon corridors call for the application of energy systems related to the renewable local resources in coast, mountain and forest. In Peru, firewood is the principal energy source for cooking and heating and this fuel is used in inefficient combustion system that increases the impact on ecosystems. Typical Peruvian biomass source are wood, agricultural residues, agro industrial waste and municipal solid waste. The most obvious it’s the availability of agricultural and agro industrial residues that could be used as a biomass fuel source in modern plant to produce electricity. Today, there is a growing interest for ethanol production from sugar cane, but it couldn’t be applied along bioceanic corridors; therefore it is necessary to integrate other renewable sources.

Supporting security and adequacy in future energy systems: The need to enhance long-term energy system models to better treat issues related to variability

2014 ◽  
Vol 39 (3) ◽  
pp. 377-396 ◽  
Author(s):  
Manuel Welsch ◽  
Mark Howells ◽  
Mohammad Reza Hesamzadeh ◽  
Brian Ó Gallachóir ◽  
Paul Deane ◽  
...  
Keyword(s):  
Energy Systems ◽  
Energy System ◽  
System Models ◽  
Term Energy
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