Participatory methods in energy system modelling and planning – A review

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 &#8216;factors of suitability&#8217; of different land cover types for PV installations.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 &#8216;Agri-voltaics&#8217; 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.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.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.

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

10.21203/rs.3.rs-895567/v1 ◽

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.

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

10.20944/preprints202107.0146.v1 ◽

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.

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

10.21203/rs.3.rs-480023/v1 ◽

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 starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Morocco, 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 two stylized scenarios (Fossil Future and Least Cost) 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.

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

Urban Transport XXIII ◽

10.2495/ut170021 ◽

2017 ◽

Cited By ~ 1

Author(s):

JONAS FORSBERG ◽

ANNA KROOK-RIEKKOLA

Keyword(s):

Energy System ◽

Urban Transport ◽

Mitigation Strategies ◽

System Modelling ◽

Emission Mitigation ◽

Modelling Framework

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

10.21203/rs.3.rs-893779/v1 ◽

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 Ecuador, 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.

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

10.21203/rs.3.rs-757542/v1 ◽

2021 ◽

Author(s):

Lucy Allington ◽

Carla Cannone ◽

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 Laos, 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.

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

10.21203/rs.3.rs-480160/v1 ◽

2021 ◽

Author(s):

Lucy Allington ◽

Carla Cannone ◽

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 starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Togo, 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.

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

Thermal Science ◽

10.2298/tsci120109120p ◽

2012 ◽

Vol 16 (3) ◽

pp. 703-715 ◽

Cited By ~ 2

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.

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