The urgent need to lower carbon emissions makes speeding up development of the UK's renewable energy resources a major priority. But long before any renewable energy technology is installed, basic questions need answering to assess whether a site is potentially suitable, saving money from being wasted on sites with poor resource potential or serious constraints.
D4S helps stakeholders (e.g. landowners, surveyors) to answer questions such as:
D4S is a web-mapping service that uses multiple sources of environmental data to map resources and constraints. These data are then used to map the overall feasibility for many renewable technologies.
Renewable energy vendors can target areas where their technology is more likely to be feasible. Stakeholders can assess their sites for a range of renewable energy technologies in order to dismiss unfeasible options and prioritise further work on the most feasible technologies, thus saving both resources and time.
Data4SustainableEnergy is a prototype web GIS decision-support tool, making it quicker and cheaper to evaluate the feasibility of renewable energy at a site. The project study areas are Derbyshire, the West Midlands and Nottinghamshire. The technologies included ground-source heat pumps, wind turbines, water-source heat pumps, solar photovoltaic (PV) farms and small hydro-electric.
Multiple (over 100) datasets were used in the project to create resource estimation, constraints and feasibility heat maps viewable via a fully functional website. Users can interrogate the underlying data, annotate a map and produce a pdf report that is sent to the user by email.
Uniquely, Data4SustainableEnergy deals with multiple renewable energy technologies, and covers a more comprehensive list of constraints than any similar tool, including information relating to geotechnical conditions. The web GIS is intuitive and can be learned easily.
Potential customers include landowners, developers, investors, local authorities, professional advisors, renewable-energy vendors and those with an interest in the selection and siting of renewable energy technologies.
Integrating satellite and traditional land based datasets with renewable energy intelligence...
Surf UK have an interesting case study in which wind and solar power was used to clean up...
“Interface is really intuitive and easy to use”
“Good that the model ‘builds in’ environmental constraints rather than the more traditional approach to adding late as ‘problems’ to be addressed”
“Providing information on each technology is very useful”