The project “Metodes for innovative ongoing evaluation of energy efficiency” will strengthen the goal fulfilment of the energy efficiency projects sought by the Swedish Energy Agency from the National Regional Fund Programme, by developing and applying more effective methods for the ongoing evaluation of all projects. Methods and results are generally useful and will be used by evaluators in the entire thematic objective of 4 for increased energy efficiency in SMEs and in their parts also in general in follow-up and evaluation work. The Swedish Agency for Economic and Regional Growth has applied for a number of projects within the national regional fund programme. The main objective from an impact perspective for these projects is to achieve energy efficiency of the target group SMEs by 10 % by 2020. All projects will provide participating SMEs with knowledge and incentives for energy efficiency. The approach differs between projects in order to address the problem in different ways, that energy efficiency often does not occur spontaneously in the target group despite the fact that it is profitable, the so-called energy efficiency gap. An effective ongoing evaluation requires that there is also an effective monitoring system. With common indicators designed to be used in all capacity-enhancing projects in the energy efficiency area, monitoring can be raised to a higher level, enabling comparisons over time and between projects. The basis of this is to understand the causes of the obstacles that exist in participating organisations to energy efficiency and to develop indicators and measurement methods in order to identify and measure the obstacles. A broad set of indicators is needed to determine where in the power chain barriers are located. This enables the ongoing evaluation to constantly return the indicators to all projects and thereby strengthen both outcomes and effects. The innovative component consists of combining developed models, indicators and methods with a more classical statistical evaluation model. The project will thus result in a solid and relevant data base intended to measure and affect capacity shortages, learning and effects in a final stage.