Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
This report is aimed at defining a list of indicators that can be used to evaluate the impact of implemented Pay-for-Performance (P4P) programs for energy efficiency. Firstly, an introduction to P4P schemes is provided, including a description of the advantages of this type of program and more specifically, the benefits of aggregating energy efficiency projects into programs. Then, the SENSEI model is introduced, and the interaction between the different actors taking part in this scheme is specified. After that, the indicators to evaluate P4P project data are defined. The factors taken into account for the definition of these indicators are; the size, impact, cost-effectiveness, and timing of the program, as well as characteristics of the implemented Energy Efficiency Measures (EEMs) and the buildings, included in the programs. The indicators have been defined so that they can easily be included in the De-risking Energy Efficiency Platform (DEEP), an open-source database that includes information about energy efficiency investments and achieved savings. The platform has the goal of up-scaling energy efficiency investments in Europe by providing data about existing projects in buildings and industry. In the final section of this report, the DEEP platform is presented and a recommendation for inclusion of the defined indicators in their database is provided. The inclusion of the defined indicators in the DEEP platform will allow the collection of empirical data on the effectiveness of P4P schemes and could possibly help build a case for the implementation of such programs in place of regular energy efficiency projects.
This report is aimed at defining a list of indicators that can be used to evaluate the impact of implemented Pay-for-Performance (P4P) programs for energy efficiency. Firstly, an introduction to P4P schemes is provided, including a description of the advantages of this type of program and more specifically, the benefits of aggregating energy efficiency projects into programs. Then, the SENSEI model is introduced, and the interaction between the different actors taking part in this scheme is specified. After that, the indicators to evaluate P4P project data are defined. The factors taken into account for the definition of these indicators are; the size, impact, cost-effectiveness, and timing of the program, as well as characteristics of the implemented Energy Efficiency Measures (EEMs) and the buildings, included in the programs. The indicators have been defined so that they can easily be included in the De-risking Energy Efficiency Platform (DEEP), an open-source database that includes information about energy efficiency investments and achieved savings. The platform has the goal of up-scaling energy efficiency investments in Europe by providing data about existing projects in buildings and industry. In the final section of this report, the DEEP platform is presented and a recommendation for inclusion of the defined indicators in their database is provided. The inclusion of the defined indicators in the DEEP platform will allow the collection of empirical data on the effectiveness of P4P schemes and could possibly help build a case for the implementation of such programs in place of regular energy efficiency projects.
Proposal on the specifications for P4P project data
Grillone (Autor:in)
18.03.2022
oai:zenodo.org:6367991
Paper
Elektronische Ressource
Englisch
DDC:
690
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