Proposing an open-source model for unconventional participation to energy planning

Fattori, Fabrizio; Albini, Davide; Anglani, Norma

doi:10.1016/j.erss.2016.02.005

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…For instance, in exergo-economics [30,31] and emergy [32,33] attempts are made to combine thermodynamic optimisation with economics and hybrid simulation/investment optimisation models are also available such as The International Energy Agency's energy technologies perspective (ETP) model [34] which is based on TIMES MARKAL. Proposals have also been put forward to design transparent models suitable to enable interdisciplinary participation and/or similar approaches [35,36].…”

mentioning

confidence: 99%

Simulation versus Optimisation: Theoretical Positions in Energy System Modelling

et al. 2017

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Abstract:In recent years, several tools and models have been developed and used for the design and analysis of future national energy systems. Many of these models focus on the integration of various renewable energy resources and the transformation of existing fossil-based energy systems into future sustainable energy systems. The models are diverse and often end up with different results and recommendations. This paper analyses this diversity of models and their implicit or explicit theoretical backgrounds. In particular, two archetypes are defined and compared. On the one hand, the prescriptive investment optimisation or optimal solutions approach. On the other hand the analytical simulation or alternatives assessment approach. Awareness of the dissimilar theoretical assumption behind the models clarifies differences between the models, explains dissimilarities in results, and provides a theoretical and methodological foundation for understanding and interpreting results from the two archetypes.

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confidence: 99%

Simulation versus Optimisation: Theoretical Positions in Energy System Modelling

et al. 2017

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“…Of the 5 articles that make more than 20 mentions, only 2 mention more than one unit. As a validation of this method, a brief assessment of these top 5 mentioning articles [28][29][30][31][32] indicated that at least 4 of them represent the sort of research that is suggested here is needed (this is explored further below). Only Fattori et al [31] potentially falls outside of this group due to its focus on modelling: since modelling rests on available data and since available data is almost entirely from the standard techno-economic approach, it seems reasonable to argue that first we need more studies with new kinds of data before generating new models which help explain any observed patterns.…”

Section: Resultsmentioning

confidence: 99%

“…The analysis of ER&SS above already identified studies that are showing signs of these characteristics, and will help to determine and define what a socio-technical research paradigm of the sort outlined above might look like. Of the top five studies making the most mention of the physical science units in ER&SS, we find three empirical studies generating new raw data, and two analytic papers that either take a modelling [31] or science and technology studies [28] perspective. While these might count as socio-technical a broader sense, my position here is that these are social studies of energy systems that make a valuable contribution to the policy and academic debates in part by virtue of their relatively strong use of standard physical science variables.…”

Section: Towards a Socio-technical Research Paradigm?mentioning

confidence: 99%

Building physics into the social: Enhancing the policy impact of energy studies and energy social science research

Cooper¹

2017

Energy Research & Social Science

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A diagnosis for why the social sciences have limited impact on energy policy-making is proposed, and the outline of a remedy presented. The diagnosis identifies the limited use physical science in social studies of energy as a major cause of this lack of impact. This is illustrated by a qualitative review of studies in psychological and sociological approaches and by a quantitative content analysis of all the articles published in Energy Research and Social Science to July 2016. Only around one in ten papers make any meaningful reference to common physical units for energy analysis, with nearly three-quarters making no reference at all to any of these units, in contrast to the pattern observed in the journal Energy Policy. This is important because while it is possible to make realistic but problematic energy policy with only physical and technical data it is not possible to make realistic energy policy with only social data. To bring more physics into social science of energy without the latter simply serving the framework of the former demands a new socio-technical approach to the study of energy. A potential vision for this approach is set out in order to stimulate wider debate in the academy.

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“…Because energy infrastructure outlast any electoral or administrative cycle, such transparent information is critical for stakeholders including the public, that is, taxpayers and voters, and support organisations, like development banks. To this end, the analysis uses the Open Source Energy MOdelling SYStem (OSeMOSYS) which is an open source energy model generator that uses linear optimization techniques, and has global application (Fattori et al 2016, Löffler et al 2017, Niet et al 2017, Pfenninger et al 2018, Taliotis et al 2016, UN DESA 2016. It determines the cost-optimal long-term investment and operation required to satisfy an exogenously defined energy demand (Howells et al 2011).…”

Section: Model Descriptionmentioning

confidence: 99%

Determinants of energy futures—a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

Moksnes

Rozenberg

Broad

et al. 2019

Environ. Res. Commun.

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Energy policy and investment are commonly informed by a small number of scenarios, modelled with proprietary models and closed data-sets. It limits what levels of insight that can be derived from it. This paper overcomes these critical concerns by exploring a large number of scenarios with an open-data and open-source model to address regional mitigation policy. Focusing on South America, we translate an ensemble of long-term electricity supply scenarios into policy insights and use postprocessing methods to present a systematic mapping of solution outputs to model inputs. We find demand levels, the cost of capital and the level of CO 2 -limits to be significant determinants of total investment cost. Low-carbon pathways are associated with low demand and low cost of capital. When cost of capital increases a shift away from wind and hydropower to natural gas and solar PV is seen. We further show that appropriate concessionary finance together with energy efficiency measures are critical-at a continental level-to unlock economic, low-carbon investment.

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Proposing an open-source model for unconventional participation to energy planning

Cited by 10 publications

References 7 publications

Simulation versus Optimisation: Theoretical Positions in Energy System Modelling

Simulation versus Optimisation: Theoretical Positions in Energy System Modelling

Building physics into the social: Enhancing the policy impact of energy studies and energy social science research

Determinants of energy futures—a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

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