The University of Southampton
University of Southampton Institutional Repository

Paradigm shift in urban energy systems through distributed generation: Methods and models

Paradigm shift in urban energy systems through distributed generation: Methods and models
Paradigm shift in urban energy systems through distributed generation: Methods and models

The path towards energy sustainability is commonly referred to the incremental adoption of available technologies, practices and policies that may help to decrease the environmental impact of energy sector, while providing an adequate standard of energy services. The evaluation of trade-offs among technologies, practices and policies for the mitigation of environmental problems related to energy resources depletion requires a deep knowledge of the local and global effects of the proposed solutions. While attempting to calculate such effects for a large complex system like a city, an advanced multidisciplinary approach is needed to overcome difficulties in modeling correctly real phenomena while maintaining computational transparency, reliability, interoperability and efficiency across different levels of analysis. Further, a methodology that rationally integrates different computational models and techniques is necessary to enable collaborative research in the field of optimization of energy efficiency strategies and integration of renewable energy systems in urban areas. For these reasons, a selection of currently available models for distributed generation planning and design is presented and analyzed in the perspective of gathering their capabilities in an optimization framework to support a paradigm shift in urban energy systems. This framework embodies the main concepts of a local energy management system and adopts a multicriteria perspective to determine optimal solutions for providing energy services through distributed generation.

Distributed generation, Local energy planning, Multicriteria decision-making, Multidisciplinary optimization, Multiobjective optimization
0306-2619
1032-1048
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Caputo, Paola
675d96e8-c617-411e-a27c-2afb1630a5c4
Costa, Gaia
58d2359e-cd25-4c59-a5c0-dcb37a2047f6
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Caputo, Paola
675d96e8-c617-411e-a27c-2afb1630a5c4
Costa, Gaia
58d2359e-cd25-4c59-a5c0-dcb37a2047f6

Manfren, Massimiliano, Caputo, Paola and Costa, Gaia (2011) Paradigm shift in urban energy systems through distributed generation: Methods and models. Applied Energy, 88 (4), 1032-1048. (doi:10.1016/j.apenergy.2010.10.018).

Record type: Review

Abstract

The path towards energy sustainability is commonly referred to the incremental adoption of available technologies, practices and policies that may help to decrease the environmental impact of energy sector, while providing an adequate standard of energy services. The evaluation of trade-offs among technologies, practices and policies for the mitigation of environmental problems related to energy resources depletion requires a deep knowledge of the local and global effects of the proposed solutions. While attempting to calculate such effects for a large complex system like a city, an advanced multidisciplinary approach is needed to overcome difficulties in modeling correctly real phenomena while maintaining computational transparency, reliability, interoperability and efficiency across different levels of analysis. Further, a methodology that rationally integrates different computational models and techniques is necessary to enable collaborative research in the field of optimization of energy efficiency strategies and integration of renewable energy systems in urban areas. For these reasons, a selection of currently available models for distributed generation planning and design is presented and analyzed in the perspective of gathering their capabilities in an optimization framework to support a paradigm shift in urban energy systems. This framework embodies the main concepts of a local energy management system and adopts a multicriteria perspective to determine optimal solutions for providing energy services through distributed generation.

Full text not available from this repository.

More information

Published date: 2011
Keywords: Distributed generation, Local energy planning, Multicriteria decision-making, Multidisciplinary optimization, Multiobjective optimization

Identifiers

Local EPrints ID: 414098
URI: http://eprints.soton.ac.uk/id/eprint/414098
ISSN: 0306-2619
PURE UUID: 340691b7-243b-4271-ab72-6921e521e532
ORCID for Massimiliano Manfren: ORCID iD orcid.org/0000-0003-1438-970X

Catalogue record

Date deposited: 14 Sep 2017 16:31
Last modified: 07 Oct 2020 02:15

Export record

Altmetrics

Contributors

Author: Paola Caputo
Author: Gaia Costa

University divisions

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×