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
- Fabián Fuentes González (ORCID: https://orcid.org/0000-0003-0591-4373)
- Janette Webb (ORCID: https://orcid.org/0000-0001-8295-346X)
- Matthew Hannon (ORCID: https://orcid.org/0000-0002-7811-3991)
- Tim Braunholtz‐Speight (ORCID: https://orcid.org/0000-0002-6115-0331)
- Maria Sharmina (ORCID: https://orcid.org/0000-0002-5521-700X)
Institutions
- Universidad de Santiago de Chile (CL)
- University of Strathclyde (GB)
- University of Manchester (GB)
- Tyndall Centre (GB)
- University of Edinburgh (GB)
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
- UK Research and Innovation
- Horizon 2020