Scaling energy efficiency programmes – a comprehensive evaluation framework

Abstract Energy efficiency is a key component of energy policies worldwide. Corresponding measures tend to be considered in isolation and assessed by quantifying obtained energy savings. In contrast, so-called energy efficiency programmes can involve wider activity portfolios across sectors and usages, which present both operational complexities and synergies that are understudied. Accordingly, there is a lack of comprehensive tools for the monitoring and scaling of such programmes. This gap is addressed through participatory research within a regional, utility-led energy efficiency programme. Programme activities (e.g. subsidies) and effects (e.g. cost-effectiveness improvement) were inventoried from a round of workshops with programme staff, co-constructed with programme managers. They were then articulated into a system dynamics model, following a causality-mapping plenary workshop. This approach allows to assess and compare short- and long-term effects of otherwise incommensurable activities, as well as synergistic effects. Simulation results of this generic model suggest a significant long-term impact for learning and collaboration structures as well as networking activities, fostering actor engagement. Importantly, these activities have marginal, if at all quantifiable, short-term effects. Lastly, relevant activity component types (e.g. online subsidy application platform) were identified along the activity lifecycle. These components can be shared across activities to unlock synergistic potential. Key development principles are further suggested to achieve and enhance such synergies.

Authors

Institutions

Publication Details

Journal
Energy Efficiency
Published
2026-07-23
DOI
https://doi.org/10.1007/s12053-026-10444-3
Primary Topic
Energy Efficiency and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scaling energy efficiency programmes – a comprehensive evaluation framework

Thomas M.M. Guibentif, Martin K. Patel
Energy Efficiency
Energy Efficiency and Management
article

Scaling energy efficiency programmes – a comprehensive evaluation framework

Thomas M.M. Guibentif, Martin K. Patel
article en

Abstract

Abstract Energy efficiency is a key component of energy policies worldwide. Corresponding measures tend to be considered in isolation and assessed by quantifying obtained energy savings. In contrast, so-called energy efficiency programmes can involve wider activity portfolios across sectors and usages, which present both operational complexities and synergies that are understudied. Accordingly, there is a lack of comprehensive tools for the monitoring and scaling of such programmes. This gap is addressed through participatory research within a regional, utility-led energy efficiency programme. Programme activities (e.g. subsidies) and effects (e.g. cost-effectiveness improvement) were inventoried from a round of workshops with programme staff, co-constructed with programme managers. They were then articulated into a system dynamics model, following a causality-mapping plenary workshop. This approach allows to assess and compare short- and long-term effects of otherwise incommensurable activities, as well as synergistic effects. Simulation results of this generic model suggest a significant long-term impact for learning and collaboration structures as well as networking activities, fostering actor engagement. Importantly, these activities have marginal, if at all quantifiable, short-term effects. Lastly, relevant activity component types (e.g. online subsidy application platform) were identified along the activity lifecycle. These components can be shared across activities to unlock synergistic potential. Key development principles are further suggested to achieve and enhance such synergies.

Energy EfficiencyVol. 19(6)
University of Geneva (CH)
Services Industriels de Genève
Affordable and clean energy
Openalex Percentile: Top 24%
Energy Efficiency and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.