Results: Searching for 'Scotland'

Spatial and other data about the management of Scotland's sea-bed, including for wind and marine energy and for carbon capture and storage. The data licence is unclear. We recommend contacting Crown Estate Scotland if you wish to re-use data made available by them.

Energy systems are changing rapidly, bringing new types of risks, and new forms of potential disruption to energy supplies. Our growing dependence on energy, particularly electricity, means that more than ever we need to plan for disruptions and be prepared for them. What happens during the disruption is important: we need to understand how individuals, communities and organisations experience the event, and what measures can be taken to reduce the overall impacts. This study investigates how people and communities in the city of Glasgow (Scotland) might be expected to respond to a lengthy, widespread disruption to energy supplies. A novel three-stage diary-interview methodology was used to explore energy practices and expectations dependency, and to understand the ways in which peoples experience of disruptions may change in the coming decade. The results show that the most consistent determinant of participants perceived resilience, over and above socio-demographic factors, is their expectations and their degree of dependency on routine. In addition, the results suggest that common assumptions regarding peoples vulnerability may be misplaced, and are shifting rapidly as digital dependency grows, and are sometimes misplaced: in particular, determinants such as age and income should not be seen as straightforward proxies for vulnerability. A new set of indicators of vulnerability are identified. For longer outages, peoples ability to cope will likely decrease with duration in a non-linear step-change fashion, as interdependent infrastructures and services are affected. Community-level actions can improve resilience, and local scales may be more appropriate for identifying vulnerabilities than socio-demographic proxies, but this is only feasible if organisations and institutions are adequately resourced. Recent events have highlighted the potential impact of long, widespread energy supply interruptions, and the need for resilience is likely to create a requirement for greater flexibility from both the electricity and gas systems. This project will examine the engineering risks, and assess the need for new industry standards to drive appropriate action; and conduct a systematic assessment of the impacts of a serious energy disruption on consumers and critical services, such as heating, water, communications, health and transport. This dataset is held in the UKDS.

Annual residential heat demand data for Scotland at Lower Layer Super Output Area (LSOA) level, before and after energy efficiency measures

The Scottish Household Survey (SHS) is an annual, cross-sectional survey on the composition, characteristics, attitudes and behaviour of private households and individuals as well as evidence on the physical condition of Scotlands homes. Data Explorer tool available. Earlier data are available from the archive (linked from this site).

The Scottish House Condition Survey (SHCS) combines both an interview with occupants and a physical inspection of dwellings to build up a picture of Scotlands occupied housing stock.

Physical (non-monetary) and monetary estimates of services provided by natural assets in Scotland. These data are part of the environmental accounts data set. https://www.ons.gov.uk/economy/environmentalaccounts/datalist?filter=datasets

Data arising from multiple measurement campaigns comprising primarily velocimetry conducted at the European Marine Energy Centre (EMEC) Tidal Test Site during the ReDAPT Tidal Project. Data arising from multiple measurement campaigns comprising primarily velocimetry conducted at the European Marine Energy Centre (EMEC) Tidal Test Site during the ReDAPT Tidal Project. These campaigns consisted of both stand-alone seabed mounted Acoustic Doppler Profiling and Tidal Energy Converter (TEC) mounted Acoustic Doppler Profiling. Multiple instrument configurations were used across multiple seasons between June 2011 and October 2014. The data was used for resource characterisation and the validation of multiple numerical modelling techniques used in the Tidal Industry. Data is provided in MATLAB v7.3 .mat files and has also been converted to NETCDF. Further information is also available at http://redapt.eng.ed.ac.uk/index.php