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Energy system models have become crucial to assess the effectiveness of possible energy policies in pursuing the declared environmental objectives. Among bottom-up models, the tools most widely used by researchers and institutions to perform scenario analyses and policy evaluations rely on commercial software and closed databases, limiting the transparency of the studies. The purpose of this work is to demonstrate that open-source tools, relying on open databases, can be used as a valid alternative to commercial tools, getting equivalent results not only for simple case studies as done so far, but also for complex (national, regional, or multi-regional) reference energy systems. Working on the already available open TEMOA optimization framework, a bottom-up technology-rich model is developed here for the Italian reference energy system on an extended TEMOA version, comparable in detail and complexity to the equivalent TIMES framework. The accuracy of the novel TEMOA-Italy model in a business-as-usual scenario is assessed, showing that the average relative differences with respect to the consolidated TIMES-Italy results are in the order of few percent. The open-source model, available on Github, is now ready for the test and implementation of new optimization paradigms, which was not possible in the TIMES framework. [ABSTRACT FROM AUTHOR]

This paper presents a methodological framework using a multi model approach to assess power system security. System security is viewed here as a multidimensional systemic property of the entire energy system. The paper shows that the different dimensions of a secure energy system are correlated, and hence their behaviour cannot be explained solely by an understanding of the individual dimensions or by system elements in isolation. The implication of this is that a proper assessment of the security of a power system requires a combination of different techno-economic models. The paper develops a comprehensive multi-model approach for investigating energy security issues within power systems, and applies it to a case study focussing on the Italian power sector. The core research activity involves using an energy systems model of Italy (MONET) to build a dedicated power systems model (PLEXOS_IT) and then undertaking a soft-linking exercise between the two models. The purpose is to use PLEXOS_IT to investigate the system adequacy of the power system results produced by MONET for future possible energy system scenarios. [ABSTRACT FROM AUTHOR]

Highlights: [•] Develops a framework for a comprehensive and systemic assessment of energy security. [•] Develops a scenario analysis to identify the structural changes of a Low-Carbon energy system. [•] Assesses the implications of a Low-Carbon EU energy system on energy security. [•] Provides foundations for more detailed analysis of climate change/energy security nexus. [ABSTRACT FROM AUTHOR]

Abstract: This paper aims to quantitatively explore the uncertainty around the global potential of shale gas development and its possible impacts, using a multi-regional energy system model, TIAM (TIMES Integrated Assessment Model). Starting from the premise that shale gas resource size and production cost are two key preconditions for its development, our scenario analysis reveals the way these and other variables interact with the global energy system, impacting on the regional distribution of gas production, interregional gas trade, demand and prices. The analysis shows how the reciprocal effects of substitutions on both the supply and demand-side play an important role in constraining or enabling the penetration of shale gas into the energy mix. Moreover, we systematically demonstrate that the global potential for shale gas development is contingent on a large number of intervening variables that manifest themselves in different ways across regionally-distinct energy systems. A simple theoretical model is derived from the results of the scenario analysis. Its purpose is to simplify and explain the complex behaviour of the system, by illustrating the chain of actions and feedbacks induced by different shale gas economics, their magnitude, their relative importance, and the necessary conditions for the global potential to be realised. [Copyright &y& Elsevier]

Cites a quantitative assessment of fossil fuel sustainability. Identification of 13 characteristics of sustainable consumption patterns; Analysis of economic sustainability by considering the physical availability of fossil fuels; Stabilization of atmospheric carbon dioxide concentrations by 2100.

Energy system models for the analysis of future scenarios are mainly driven by the set of energy service demands that define the broad outlines of socio-economic development throughout the model time horizon. Here, the long-term effects of the COVID-19 pandemic on the drivers of the industrial production in six energy-intensive subsectors are addressed using Vector AutoRegressive models. The model results are computed either considering or not considering the effects of the pandemic. The comparison to established pre-pandemic trends allows for validating the robustness of the selected model. The anticipated effect of the pandemic to 2040 shows a long-term reduction by 3% to 10%, according to the different subsector, in the industrial energy service demand. When the computed service demands are used as input to the TIMES-Italy model, which shows good capability to reproduce the energy consumption of the industrial sectors in the period 2006–2020, the impact of the pandemic on energy consumption forecasts can be assessed in a business-as-usual scenario. The results show how the long-term effects of the shock caused by the pandemic could lead, by 2040, to a total industrial energy consumption 5% lower than what was foreseen before the pandemic, while the energy mix remains almost unchanged. [ABSTRACT FROM AUTHOR]

The European Roadmap towards the production of electricity from nuclear fusion foresees the potential availability of nuclear fusion power plants (NFPPs) in the second half of this century. The possible penetration of that technology, typically addressed by using the global energy system EUROFusion TIMES Model (ETM), will depend, among other aspects, on its costs compared to those of the other available technologies for electricity production, and on the future electricity demand. This paper focuses on the ongoing electrification process of the transport sector, with special attention devoted to road transport. A survey on the present and forthcoming technologies, as foreseen by several manufacturers and other models, and an international vehicle database are taken into account to develop the new road transport module, then implemented and harmonized inside ETM. Following three different storylines, the computed results are presented in terms of the evolution of the road transport demand in the next decades, fleet composition and CO 2 emissions. The ETM results are in line with many other studies. On one hand, they highlight, for the European road transport energy consumption pattern, the need for dramatic changes in the transport market, if the most ambitious environmental goals are to be pursued. On the other hand, the results also show that NFPP adoption on a commercial scale could be justified within the current projection of the investment costs, if the deep penetration of electricity in the road transport sector also occurs. [ABSTRACT FROM AUTHOR]

The effects of the update of the EUROfusion TIMES Model (ETM) industrial sector to account for the introduction of low-carbon technologies is presented and discussed in this work. ETM is a minimum-cost energy system model aimed at investigating the conditions for the introduction of nuclear fusion in the future electricity mix. The most interesting ETM long-run scenarios (until 2100) must comply with stringent environmental targets to pursue the Below-2-Degrees objective, identified in the Paris Agreement, allowing wide commercial adoption of innovative production processes - currently under test or research - which would almost completely replace well-established fossil-based industrial techniques in the iron and steel, chemicals, non-ferrous metals, non-metallic minerals and pulp and paper sub-sectors. Among them, low-carbon and electrolysis-based processes could open the way to a considerable increase of electricity demand, requiring also clean resources not to undermine sectoral efforts in becoming more environmentally sustainable, and the same does the implementation of CCS technologies. The study shows that the industrial sector contributes to the energy mix decarbonization by relying on CCS technologies, when available, or new low-carbon technologies. The progressive electrification of the industrial sector turns into an increasing final electricity demand which is covered by renewables and nuclear when stringent climate policies are put in place. Despite technological constraints are likely to slow down fusion deployment in the future, a range of scenarios show that nuclear fusion could contribute to generation of carbon-free electricity in the future European energy system. [ABSTRACT FROM AUTHOR]