"The current energy and transport systems in the UK are not fit for purpose for a low-carbon economy. As a result, a few communities are taking control of their energy systems, implementing their own finance structures and working towards better transport options. This feasibility study looks into viability of developing a system tying renewable energy, the circular economy, community engagement and low-carbon transport into one, empowering local people, building community resilience and growing its economy. By using a smart, incentive based system residents and businesses can benefit their communities and themselves by choosing locally produced renewable energy, improving air quality and reducing energy bills. The study investigates creating a ""community currency"" that is redeemable on public transport and at participating businesses and how wealth can be circulated within local areas. The 'currency' would be awarded when consumers opt to receive their energy from a local renewable means, or choose proactive ways to reduce their energy needs. The amount awarded would be dynamically linked to the levels of local energy production at the time. In order to finance such a system, capital could be raised by businesses and local organisations to install the infrastructure and setup an energy company. In turn, the 'community currency' could be 'created' by businesses, to act as partial payment for their energy, the currency would go on to be distributed to consumers as necessary in return for their energy use. Participating consumers would have access to an App providing information on the reward level, offer ways to improve their rewards and will act as the 'wallet' used to pay for transport and purchase goods and services. The study will investigate options, alternatives and viability of the above, quantifying how it could work, how much it will benefit and how it can be achieved with regards to cost, viability and time."

Devise a prototype methodology for optimum performance design of high levels of internal insulation in pre 1990’s housing using Hygrothermal modelling and building monitoring.