Financing smart local energy systems: A conceptual framework and research agenda

Smart local energy systems (SLES) are expected to contribute to meeting net zero carbon emission targets, as well as enabling energy decentralisation, democratisation and digitalisation. There are, however, unresolved questions about finance. We extend the existing corporate governance and risk management model CLASS to a new CCLLASS model. The model is used to explore pathways to SLES investment through securitising future cash flows. Case study evidence is used to explore governance and risk management practices suited to building investor confidence in securitisation. Several governance and risk management measures already in place support implementation and operation of securitisation, and should strengthen investor confidence. There is however scope for improvement in several elements, including final market architecture and explicit characterisation of benefits to localities. Further research is needed to test feasibility of a SLES future cash flow securitisation mechanism, including quantitative asset aggregation and systematic comparison of securitisation and other financial instruments. • Smart local energy systems can be assimilated to asset securitization schemes. • Several key governance and risk management measures have been implemented. • Such measures can help support asset securitization implementation and operation. • There is scope for improvement in several governance and risk management aspects. • Further research should address more quantitative aspects of financing such systems.

Authors

Institutions

Publication Details

Journal
Energy Research & Social Science
Published
2024-12-29
DOI
https://doi.org/10.1016/j.erss.2024.103915
Citations
4
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Financing smart local energy systems: A conceptual framework and research agenda

Fabián Fuentes González, Janette Webb, Matthew Hannon, Tim Braunholtz‐Speight et al.
4 citations
Energy Research & Social Science
Integrated Energy Systems Optimization
0.83
article

Financing smart local energy systems: A conceptual framework and research agenda

Fabián Fuentes González, Janette Webb, Matthew Hannon, Tim Braunholtz‐Speight, Maria Sharmina
article en
4 citations

Abstract

Smart local energy systems (SLES) are expected to contribute to meeting net zero carbon emission targets, as well as enabling energy decentralisation, democratisation and digitalisation. There are, however, unresolved questions about finance. We extend the existing corporate governance and risk management model CLASS to a new CCLLASS model. The model is used to explore pathways to SLES investment through securitising future cash flows. Case study evidence is used to explore governance and risk management practices suited to building investor confidence in securitisation. Several governance and risk management measures already in place support implementation and operation of securitisation, and should strengthen investor confidence. There is however scope for improvement in several elements, including final market architecture and explicit characterisation of benefits to localities. Further research is needed to test feasibility of a SLES future cash flow securitisation mechanism, including quantitative asset aggregation and systematic comparison of securitisation and other financial instruments. • Smart local energy systems can be assimilated to asset securitization schemes. • Several key governance and risk management measures have been implemented. • Such measures can help support asset securitization implementation and operation. • There is scope for improvement in several governance and risk management aspects. • Further research should address more quantitative aspects of financing such systems.

Energy Research & Social ScienceVol. 119
Universidad de Santiago de Chile (CL), University of Strathclyde (GB), University of Manchester (GB), Tyndall Centre (GB), University of Edinburgh (GB)
UK Research and Innovation, Horizon 2020
Openalex Percentile: Top 26%
Integrated Energy Systems Optimization
0.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.