- Review your existing energy data; identifying and addressing problem areas
- Carry out a detailed analysis of your housing stock; profiling the stock to identify headline CO2 emissions, SAP ratings, running costs and areas of good and poor performance
- Do a risk analysis; identifying those areas and individual properties where the risk of fuel poverty is greatest and determining what the effect of improvements and other interventions is likely to be.
- Model scenarios. Do you know what effect your planned improvements will have on CO2 emissions, SAP ratings, running costs and fuel poverty? We can examine this in detail and also model the effects of investment programmes such as renewables, or external events such as changes in fuel costs, benefit levels etc