wizard Evaluation methodology selection wizard

Method overview

The table below compares the characteristics of the different evaluation methods. It provides the type of output of the method and the input data required, with the aim to provide insight in the main differences between the evaluation methods.

Evaluation method Pros & cons Method characteristics Required input data
  Pro Con Savings output Aggregation level Application (ex-ante/ex-post) Energy use before and after actions Number of energy saving actions Energy saved per action Normalisation factors Gross-to-net adjustments
Measurement Precise Expensive Unitary, system or participant Bottom-up Ex-post only For each system or participant By complementary method No, follows from method For behaviour, temperature E.g. non-compliance
Billing analysis Easy Too aggregated Unitary, participant Bottom-up and top-down Ex-post only For each participant By complementary method No, follows from method For behaviour, temperature E.g. free riders (in case of subsidies)
Deemed savings Cheap Imprecise Unitary, mostly system Bottom-up Ex-ante and ex-post No (covered in savings) By complementary method To be estimated No (covered in method) E.g. free riders (in case of subsidies)
Engineering estimate Precise Expensive Unitary, complex system Bottom-up Ex-ante and ex-post For each system By complementary method No, follows from method No (method on normalised case) E.g. non-compliance
Stock modelling Easy calculation A lot of data needed Number of actions Bottom-up Ex-ante and ex-post No (see deemed savings as complementary method) From method (stock/market data > replaced equipment) Yes, from complementary method See deemed savings as complementary method E.g. free riders (in number of actions)
Diffusion indicator Easy Only for uniform systems Number of actions Bottom-up Ex-post only No (see deemed savings as complementary method) From penetration rate per year Yes, from complementary method See deemed savings as complementary method E.g. free riders (in number of actions)
Energy indicator sector (energy intensity) Only statistics Aggregated (black box) Total savings Top-down Ex-post only From statistics No (included in total savings) No (included in total savings) For activity level and temperature E.g. double counting
Energy indicator equipment (unit consumption) Easy (trend) Only uniform systems Unitary, system Bottom-up Ex-post only Per average unit of equipment By complementary method No, follows from method For behaviour, temperature, activity level E.g. double counting
Econometric modelling (regression analysis) Explanation of relations Possibly missing factors Total savings Top-down Ex-post only For (sub)sector Depends on case Depends on case For behaviour, temperature, activity level No (if covered in method)
Econometric Р Price elasticity Simple (only price) Situation dependent Total savings Top-down Ex-ante and ex-post For (sub)sector No (included in total savings) No (included in total savings) No (method on normalised case) E.g. double counting