Envisioning surprises: How social sciences could help models represent 'deep uncertainty' in future energy and water demand. (April 2019)
- Record Type:
- Journal Article
- Title:
- Envisioning surprises: How social sciences could help models represent 'deep uncertainty' in future energy and water demand. (April 2019)
- Main Title:
- Envisioning surprises: How social sciences could help models represent 'deep uncertainty' in future energy and water demand
- Authors:
- Sharmina, Maria
Abi Ghanem, Dana
Browne, Alison L.
Hall, Sarah Marie
Mylan, Josephine
Petrova, Saska
Wood, Ruth - Abstract:
- Abstract: Medium- and long-term planning, defined here as 10 years or longer, in the energy and water sectors is fraught with uncertainty, exacerbated by an accelerating 'paradigm shift'. The new paradigm is characterised by a changing climate and rapid adoption of new technologies, accompanied by changes in end-use practices. Traditional methods (such as econometrics) do not incorporate these diverse and dynamic aspects and perform poorly when exploring long-term futures. This paper critiques existing methods and explores how interdisciplinary insights could provide methodological innovation for exploring future energy and water demand. The paper identifies four attributes that methods need to capture to reflect at least some of the uncertainty associated with the paradigm shift: stochastic events, the diversity of behaviour, policy interventions and the 'co-evolution' of the variables affecting demand. Machine-learning methods can account for some of the four identified attributes and can be further enhanced by insights from across the psychological and social sciences (human geography and sociology), incorporating rebound effect and the unevenness of demand, and acknowledging the emergent nature of demand. The findings have implications for urban and regional planning of infrastructure and contribute to current debates on nexus thinking for energy and water resource management.
- Is Part Of:
- Energy research & social science. Volume 50(2019)
- Journal:
- Energy research & social science
- Issue:
- Volume 50(2019)
- Issue Display:
- Volume 50, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 50
- Issue:
- 2019
- Issue Sort Value:
- 2019-0050-2019-0000
- Page Start:
- 18
- Page End:
- 28
- Publication Date:
- 2019-04
- Subjects:
- Demand forecasting -- Decision-making -- Uncertainty -- Paradigm change
Power resources -- Social aspects -- Periodicals
Energy consumption -- Social aspects -- Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/ ↗
- DOI:
- 10.1016/j.erss.2018.11.008 ↗
- Languages:
- English
- ISSNs:
- 2214-6296
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21606.xml