Open data and energy analytics - An analysis of essential information for energy system planning, design and operation
Open data and energy analytics - An analysis of essential information for energy system planning, design and operation
Energy transitions are reshaping global and national energy systems and appropriate decision-making strategies are needed to drive an effective change in response to pressing global issues. Governmental institutions, industry, academia, and civil society are all participating to this global change, playing different roles. Open energy models and associated data are essential to promote open science practices, and create an effective science-policy interaction. For example, they can foster multi-disciplinary research addressing the co-evolution of energy technologies and human behaviour more transparently and, more in general, they can improve the interaction of multiple linked models and data, by improving them with respect to the current state of the art. In this paper, we present an analysis of features of open energy models and data, highlighting essential information that can be shared among communities of researchers in the energy field to foster multidisciplinary research. This information inherently embodies different key concepts and perspectives in modelling that affect both simulation and optimization processes employed for energy systems planning, design and operation. Indeed, this shared knowledge is crucial to overcome critical technical issues (e.g. end-use energy efficiency improvements, energy conversion processes, energy infrastructures operation, etc.) that may inhibit successful energy transitions. Finally, ecosystems of interacting open data and models are key assets for the development of next generation energy services and technologies, based on innovative business models in which the problem of monitoring, verifying and tracking performance transparently (at multiple levels) will be fundamental.
Energy analytics, Energy modelling techniques, Multi-energy systems, Multi-scale analytics, Open energy data
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Nastasi, Benedetto
0d19eabe-134e-4cbe-9912-ff4c095410cd
Groppi, Daniele
51393b68-bf96-4f3c-93d7-784029f3be73
Astiaso Garcia, Davide
3632b409-9c11-49a7-97bc-7c81475b9ad4
15 December 2020
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Nastasi, Benedetto
0d19eabe-134e-4cbe-9912-ff4c095410cd
Groppi, Daniele
51393b68-bf96-4f3c-93d7-784029f3be73
Astiaso Garcia, Davide
3632b409-9c11-49a7-97bc-7c81475b9ad4
Manfren, Massimiliano, Nastasi, Benedetto, Groppi, Daniele and Astiaso Garcia, Davide
(2020)
Open data and energy analytics - An analysis of essential information for energy system planning, design and operation.
Energy, 213, [118803].
(doi:10.1016/j.energy.2020.118803).
Abstract
Energy transitions are reshaping global and national energy systems and appropriate decision-making strategies are needed to drive an effective change in response to pressing global issues. Governmental institutions, industry, academia, and civil society are all participating to this global change, playing different roles. Open energy models and associated data are essential to promote open science practices, and create an effective science-policy interaction. For example, they can foster multi-disciplinary research addressing the co-evolution of energy technologies and human behaviour more transparently and, more in general, they can improve the interaction of multiple linked models and data, by improving them with respect to the current state of the art. In this paper, we present an analysis of features of open energy models and data, highlighting essential information that can be shared among communities of researchers in the energy field to foster multidisciplinary research. This information inherently embodies different key concepts and perspectives in modelling that affect both simulation and optimization processes employed for energy systems planning, design and operation. Indeed, this shared knowledge is crucial to overcome critical technical issues (e.g. end-use energy efficiency improvements, energy conversion processes, energy infrastructures operation, etc.) that may inhibit successful energy transitions. Finally, ecosystems of interacting open data and models are key assets for the development of next generation energy services and technologies, based on innovative business models in which the problem of monitoring, verifying and tracking performance transparently (at multiple levels) will be fundamental.
Text
Energy_final submission
- Accepted Manuscript
More information
Accepted/In Press date: 6 September 2020
e-pub ahead of print date: 9 September 2020
Published date: 15 December 2020
Keywords:
Energy analytics, Energy modelling techniques, Multi-energy systems, Multi-scale analytics, Open energy data
Identifiers
Local EPrints ID: 444343
URI: http://eprints.soton.ac.uk/id/eprint/444343
ISSN: 0360-5442
PURE UUID: 7e693b5b-eb48-45b3-8d5c-ae99d50617fc
Catalogue record
Date deposited: 13 Oct 2020 16:47
Last modified: 17 Mar 2024 05:57
Export record
Altmetrics
Contributors
Author:
Benedetto Nastasi
Author:
Daniele Groppi
Author:
Davide Astiaso Garcia
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
