Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings
Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings
Smart energy services and technologies are key components of energy transition and decarbonisation strategies for the built environment. On the one hand, the technical potential of the building stock in terms of energy, emissions and cost savings is large and exploited only partially at present. On the other hand, the increasing availability of data generated by smart meters, smart devices, sensors and building management systems can help monitoring, verifying and tracking building energy performance improvements in a transparent way. In particular, energy modelling and data analytics can provide empirically grounded and tested methods to standardize the way energy performance is measured and reported. Further, techno-economic analysis is crucial to ensure the feasibility of innovative business models. For these reasons, this paper aims to address the role of techno-economic analysis and energy modelling as key enablers for next-generation energy services and technologies. In terms of methods, scientific literature selection criteria are derived from previous research and are focused on limitations and bottlenecks to the achievement of innovative business models, which are motivated, at their very basics, by energy, emission and cost savings. Additionally, besides these potential savings, smart energy services and technologies can provide multiple additional benefits such as improved Indoor Environmental Quality (IEQ) and energy flexibility on the demand side, with respect to energy infrastructures. First, the research identifies the key elements that are necessary to integrate and to streamline techno-economic analysis and energy modelling processes. After that, it highlights potential advances in the broad area of energy transitions and decarbonisation of the built environment that can be achieved as an evolution of current practices and processes. Finally, it envisions the creation of “eco-systems” of interacting models for the building sector that share common underlying principles.
Built environment, Decarbonisation, Energy analytics, Energy performance contracting, Energy transition, Measurement and verification, Smart energy services, Smart energy technologies
Manfren, Massimiliano
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Nastasi, Benedetto
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Tronchin, Lamberto
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Groppi, Daniele
51393b68-bf96-4f3c-93d7-784029f3be73
Garcia, Davide Astiaso
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October 2021
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Nastasi, Benedetto
0d19eabe-134e-4cbe-9912-ff4c095410cd
Tronchin, Lamberto
8527a327-51fb-4865-b99d-eab721dadec9
Groppi, Daniele
51393b68-bf96-4f3c-93d7-784029f3be73
Garcia, Davide Astiaso
3632b409-9c11-49a7-97bc-7c81475b9ad4
Manfren, Massimiliano, Nastasi, Benedetto, Tronchin, Lamberto, Groppi, Daniele and Garcia, Davide Astiaso
(2021)
Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings.
Renewable and Sustainable Energy Reviews, 150, [111490].
(doi:10.1016/j.rser.2021.111490).
Abstract
Smart energy services and technologies are key components of energy transition and decarbonisation strategies for the built environment. On the one hand, the technical potential of the building stock in terms of energy, emissions and cost savings is large and exploited only partially at present. On the other hand, the increasing availability of data generated by smart meters, smart devices, sensors and building management systems can help monitoring, verifying and tracking building energy performance improvements in a transparent way. In particular, energy modelling and data analytics can provide empirically grounded and tested methods to standardize the way energy performance is measured and reported. Further, techno-economic analysis is crucial to ensure the feasibility of innovative business models. For these reasons, this paper aims to address the role of techno-economic analysis and energy modelling as key enablers for next-generation energy services and technologies. In terms of methods, scientific literature selection criteria are derived from previous research and are focused on limitations and bottlenecks to the achievement of innovative business models, which are motivated, at their very basics, by energy, emission and cost savings. Additionally, besides these potential savings, smart energy services and technologies can provide multiple additional benefits such as improved Indoor Environmental Quality (IEQ) and energy flexibility on the demand side, with respect to energy infrastructures. First, the research identifies the key elements that are necessary to integrate and to streamline techno-economic analysis and energy modelling processes. After that, it highlights potential advances in the broad area of energy transitions and decarbonisation of the built environment that can be achieved as an evolution of current practices and processes. Finally, it envisions the creation of “eco-systems” of interacting models for the building sector that share common underlying principles.
Text
2021_04_21_Manfren_RSER_clean manuscript
- Accepted Manuscript
More information
Accepted/In Press date: 7 July 2021
e-pub ahead of print date: 14 July 2021
Published date: October 2021
Additional Information:
Funding Information:
This study and project is partially supported financially by EU Research and Innovation programme Horizon 2020 through number 768921 – HEART. The authors would like to thank the European Commission to enable the funding of this project.
Publisher Copyright:
© 2021 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
Built environment, Decarbonisation, Energy analytics, Energy performance contracting, Energy transition, Measurement and verification, Smart energy services, Smart energy technologies
Identifiers
Local EPrints ID: 451660
URI: http://eprints.soton.ac.uk/id/eprint/451660
ISSN: 1364-0321
PURE UUID: fd70c96d-791d-4c0c-a326-03b855f3118f
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Date deposited: 18 Oct 2021 16:32
Last modified: 18 Mar 2024 05:28
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Contributors
Author:
Benedetto Nastasi
Author:
Lamberto Tronchin
Author:
Daniele Groppi
Author:
Davide Astiaso Garcia
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