Perspective of comprehensive and comprehensible multi-model energy and climate science in Europe

Νίκας, Αλέξανδρος; Gambhir, Ajay; Trutnevyte, Evelina; Koasidis, Konstantinos; Lund, Henrik; Thellufsen, Jakob Zinck; Mayer, Didier; Zachmann, Georg; Miguel, Luis; Ferreras-Alonso, Noelia; Sognnæs, Ida; Peters, Glen P.; Colombo, Emanuela; Howells, Mark; Hawkes, Adam; Broek, Machteld van den; Ven, Dirk-Jan Van de; González-Eguino, Mikel; Flamos, Alexandros; Doukas, Haris

doi:10.1016/j.energy.2020.119153

Cited by 62 publications

(23 citation statements)

References 108 publications

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“…In the case of EU countries, the abandonment of conventional sources in favor of energy from RES results from the implemented concept of the European Green Deal (EGD), a plan to build a sustainable EU economy based on the challenges of combating climate and natural environment change [9,10]. The EGD, announced by the European Commission in December 2019, aims to reduce carbon emissions by 55% by 2030 and achieve carbon neutrality by 2050 [11].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

2021

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The abandonment of conventional sources in favor of energy from renewable energy sources (RES) has a global dimension, and the dynamic increase in the share of energy from photovoltaic systems in the energy mix of many countries results from the possibility of obtaining it both on a small scale (micro-installations) and as part of economic investments (photovoltaic power plants). The study aimed to assess the economic efficiency of 22 photovoltaic farms located in northeastern Poland. The research covered 5 solar power plants with a capacity of up to 799 kWp (I), 13 between 800 and 1100 kWp (II), and 4 installations of 1.98 MWp (III). The evaluation was based on net present value (NPV), internal rate of return (IRR), payback period (PP), profitability index (PI), accounting rate of return (ARR). Additionally, a sensitivity analysis was carried out regarding the value of economic indicators. The analysis shows that all studied PV farms are economically justified investments (NPV > 0) regardless of the adopted scenario. Solar power plants of the largest analyzed capacity (group III) resulted in being the most profitable ones, but no linear relationship between the level of productivity and profitability was established. Due to the large variation in terrain shape in northeastern Poland, landscape value and social benefits, which are difficult to assess, the support system for investments regarding the construction of photovoltaic power plants proved to be the most effective in group I.

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Section: Introductionmentioning

confidence: 99%

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

2021

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“…By reviewing the advantages and limitations of the modeling approaches available in the literature [47], we find that CGE models are among the most appropriate alternatives when it comes to evaluating energy and climate policies from a macroeconomic point of view in the medium and long term, with TIMES being the most prominent choice among the energy models. Moreover, considering the merits of model linkage [47], as well as the challenges presented in integrating bottom-up with top-down approaches into a single solution (e.g., in terms of results interpretation, data compatibility, data availability, and development effort; [37,38]), we conclude that soft-linking can effectively allow information exchange in a straightforward and less resources-intensive way offering unexplored and robust insights [48]. Moreover, in view of enhancing the added value of modeling process to decision-making, a special focus should be laid on enhancing the transparency of the analysis, for example via using open source models and interpreting the results [27,49].…”

Section: Modeling Approachesmentioning

confidence: 99%

What Is the Macroeconomic Impact of Higher Decarbonization Speeds? The Case of Greece

Spiliotis

Doukas

2021

Energies

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In alignment with the European Union’s legislation, Greece submitted its final 10-year National Energy and Climate Plan (NECP) in December 2019, setting more ambitious energy and climate targets than those originally proposed in the draft version of the document. Apart from higher penetration of renewable energy sources (RES), the final NECP projects also zero carbon use in power generation till 2030. Although decarbonization has long been regarded beneficial for economies that base their energy production on coal, as it is the case with Greece, the macroeconomic and societal ramifications of faster transitions to carbon-free economies remain highly unexplored. Under this context, in this paper, we soft-link energy models, namely Times-Greece and Primes, with a macroeconomic model, namely Global Trade Analysis Project (GTAP), to measure the effects of the final and draft NECPs on the Greek economy and evaluate the impact of higher decarbonization speeds. We find that the faster transition scenario displays both economic and societal merits, increasing Gross Domestic Product (GDP) and household income by about 1% and 7%, respectively.

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“…More specifically, in climate change science and policy, there are increasing calls for 'unboxing' the 'black box' of the complex and diverse [62] quantitative systems modelling activities [63], which are predominantly used to inform decisions [64], and for opening them to non-experts [65]. This entails making science comprehensible and digestible [66], which goes beyond developing open-source tools [67] and instead aims to promote science co-production [68], inclusivity [69], and pluralism [70].…”

Section: A Brief Literature Overviewmentioning

confidence: 99%

AI and Data Democratisation for Intelligent Energy Management

et al. 2021

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Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout of Artificial Intelligence (AI) services in the near-term. However, things have started to change, owing to the increased adoption of data democratisation processes, and the capability offered by emerging technologies for data sharing while respecting privacy, protection, and security, as well as appropriate learning-based modelling capabilities for non-expert end-users. This is particularly evident in the energy sector. In this context, the aim of this paper is to analyse AI and data democratisation, in order to explore the strengths and challenges in terms of data access problems and data sharing, algorithmic bias, AI transparency, privacy and other regulatory constraints for AI-based decisions, as well as novel applications in different domains, giving particular emphasis on the energy sector. A data democratisation framework for intelligent energy management is presented. In doing so, it highlights the need for the democratisation of data and analytics in the energy sector, toward making data available for the right people at the right time, allowing them to make the right decisions, and eventually facilitating the adoption of decentralised, decarbonised, and democratised energy business models.

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Perspective of comprehensive and comprehensible multi-model energy and climate science in Europe

Cited by 62 publications

References 108 publications

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

What Is the Macroeconomic Impact of Higher Decarbonization Speeds? The Case of Greece

AI and Data Democratisation for Intelligent Energy Management

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