Periodic Reporting for period 2 - SMARTEES (Social innovation Modelling Approaches to Realizing Transition to Energy Efficiency and Sustainability)
Berichtszeitraum: 2019-11-01 bis 2021-10-31
The SET-plan roadmap identifies a pressing need for “a robust and transparent analytical framework that provides policymakers with extensive interdisciplinary knowledge and allows them to assess the linkages, synergies, and disconnects between energy technologies and services, infrastructure, markets, business creation and consumer behaviour”. SMARTEES fills this gap by using a comprehensive, multi-disciplinary research and modelling approach which combines studies of social innovation and socio-economic incentive structures, with multi-level agent-based modelling (ABM) of artificial populations of psychologically realistic behaving consumers and agent-based computational economics (ACE). By combining these approaches, SMARTEES delivers a unique policy analysis tool, the SMARTEES policy sandbox, which opens new ways of developing, testing and adapting policy measures and technology diffusion strategies to the needs of a complex and dynamic system of consumers and market actors. The SMARTEES policy sandbox will provide practitioners with a unique “policy flight simulator”, allowing them to implement policies that generate realistic behavioural dynamics that may require adaptations “on the fly”.
This overarching objective was pursued in four different lines of work in SMARTEES.
(1) Developing the SMARTEES social innovation case-study clusters. The focus of analysis in SMARTEES is an in-depth study of social energy innovations in ten carefully selected cases, grouped into five clusters of specific energy innovations. After the close collaboration with the cases had been established in the first reporting period, the activities in the second reporting period were mostly focussing on involving the cases in providing input to the other research activities. For each case cluster, a group of 4-5 follower cities/islands was established early in the project, among which a Premium follower city/island was identified. The contact to the follower cases was taken up again in the second reporting period as they were involved in the discussion of the policy scenarios, the development of the policy sandbox tool, and the model transfer activities. The case representatives were an important source of information also in the second reporting period, providing access to documents and datasets relevant for different WPs, providing input to the design of the simulation models and simulated scenarios and giving feedback on the policy sandbox tool. In discussion with the reference and follower cases, the concept for the workshops in the business model were developed.
(2) Studying social innovation and co-evolving socio-technical systems. One key strain of SMARTEES research is to build a framework model of social energy innovations across Europe from a multidisciplinary perspective. Based on the activities in the first reporting period in WPs 2 and 3, this work was developed further by refining the project ontology and common analysis framework in WP2, through a series of four project internal workshops, of which two were in the second reporting period (both virtual). The work of WP3 on models of social innovation in the energy sector which ended in the first reporting period was continued in the work of WP5 and WP6, who used the case analyses and the data from the interviews and simulations to explore policy relevance of the findings, the barriers and drivers of social innovations, the impact of social innovation on energy equality, and the impact of the simulation results on social innovation theory. All data collections of primary (mostly survey data in the second reporting period) and secondary data was coordinated by WP4.
(3) Social simulation – Modelling consumer and collective behaviour in energy transitions. The second main component of the second reporting period’s work was the extensive work for implementing seven independent social simulation models, based on the groundwork laid in the first reporting period. Models for Groningen, Aberdeen and Vitoria-Gasteiz were developed first as lead models for testing the architectures and possibilities of the models. Then models for Barcelona, el Hierro, Samsø, and Stockholm/Malmö were built based on these experiences. The models focussed on aspects so different as votes in a referendum, depending on the social dynamics prior to the referendum (Groningen), acceptance and support of social energy innovations by the local population (Vitoria-Gasteiz, Barcelona, el Hierro), the decision to connect to a heat network (Aberdeen and Samsø), and the decision to accept the renovation proposal of the dwelling in a socially challenged neighbourhood (Stockholm / Malmö). The heat network and dwelling renovation simulations also assess the economic effects of the activities on the population, especially with respect to energy poverty.
(4) Knowledge co-creation and development of a policy-scenario framework. The final work line in SMARTEES explored policy scenarios for alternative approaches. A series of two times five policy workshops with the cases were conducted (mostly virtual or as hybrid workshops) which explored potential alternative policy scenarios which were interesting for the local policy makers and feasible to test and implement in the ABMs. The policy scenarios were then tested in the simulation models and the most interesting of these were implemented in the online policy sandbox tool as a demonstration of what ABM could provide to policy making.
(1) Developing the SMARTEES social innovation case-study clusters. The focus of analysis in SMARTEES is an in-depth study of social energy innovations in ten carefully selected cases, grouped into five clusters of specific energy innovations. After the close collaboration with the cases had been established in the first reporting period, the activities in the second reporting period were mostly focussing on involving the cases in providing input to the other research activities. For each case cluster, a group of 4-5 follower cities/islands was established early in the project, among which a Premium follower city/island was identified. The contact to the follower cases was taken up again in the second reporting period as they were involved in the discussion of the policy scenarios, the development of the policy sandbox tool, and the model transfer activities. The case representatives were an important source of information also in the second reporting period, providing access to documents and datasets relevant for different WPs, providing input to the design of the simulation models and simulated scenarios and giving feedback on the policy sandbox tool. In discussion with the reference and follower cases, the concept for the workshops in the business model were developed.
(2) Studying social innovation and co-evolving socio-technical systems. One key strain of SMARTEES research is to build a framework model of social energy innovations across Europe from a multidisciplinary perspective. Based on the activities in the first reporting period in WPs 2 and 3, this work was developed further by refining the project ontology and common analysis framework in WP2, through a series of four project internal workshops, of which two were in the second reporting period (both virtual). The work of WP3 on models of social innovation in the energy sector which ended in the first reporting period was continued in the work of WP5 and WP6, who used the case analyses and the data from the interviews and simulations to explore policy relevance of the findings, the barriers and drivers of social innovations, the impact of social innovation on energy equality, and the impact of the simulation results on social innovation theory. All data collections of primary (mostly survey data in the second reporting period) and secondary data was coordinated by WP4.
(3) Social simulation – Modelling consumer and collective behaviour in energy transitions. The second main component of the second reporting period’s work was the extensive work for implementing seven independent social simulation models, based on the groundwork laid in the first reporting period. Models for Groningen, Aberdeen and Vitoria-Gasteiz were developed first as lead models for testing the architectures and possibilities of the models. Then models for Barcelona, el Hierro, Samsø, and Stockholm/Malmö were built based on these experiences. The models focussed on aspects so different as votes in a referendum, depending on the social dynamics prior to the referendum (Groningen), acceptance and support of social energy innovations by the local population (Vitoria-Gasteiz, Barcelona, el Hierro), the decision to connect to a heat network (Aberdeen and Samsø), and the decision to accept the renovation proposal of the dwelling in a socially challenged neighbourhood (Stockholm / Malmö). The heat network and dwelling renovation simulations also assess the economic effects of the activities on the population, especially with respect to energy poverty.
(4) Knowledge co-creation and development of a policy-scenario framework. The final work line in SMARTEES explored policy scenarios for alternative approaches. A series of two times five policy workshops with the cases were conducted (mostly virtual or as hybrid workshops) which explored potential alternative policy scenarios which were interesting for the local policy makers and feasible to test and implement in the ABMs. The policy scenarios were then tested in the simulation models and the most interesting of these were implemented in the online policy sandbox tool as a demonstration of what ABM could provide to policy making.
In the DoA, SMARTEES describes three dimensions of impact creation for policymakers and stakeholders on all relevant levels from the local case to the national and European policy framework:
The output dimension for creating impact: A “policy flight simulator” where policymakers and practitioners can experiment “on the fly” with the implementation of different policies in a realistically responding artificial population and a corresponding workshop concept have been developed (see www.local-social-innovation.eu). The sandbox tool and the workshop concept have been developed in an iterative procedure together with input from the case representatives and the follower cases.
The replicability dimension for creating impact: Case study cities were chosen to cover a broad geographic, demographic and cultural bandwidth. The selected cities fall mostly in the group of 100T to 300T residents, which encompasses around 450 of the about 900 European cities (with more than 50,000 residents). Northern, Southern, Eastern and Western cities are represented. Furthermore, the replicability of the ABM methodology was tested in several steps.
The scientific dimension for creating impact: The novel joint exploitation of quantitative and qualitative data in the social simulations created lasting impact on the respective scientific community for designing and implementing policy support tools. Intensive work has been put on developing seven fully developed ABMs for selected cases and the simulation of 58 alternative policy scenarios. The scientific achievements have been (and will still be) presented at a number of conferences and workshops as well as in scientific papers. Also in the domain of energy justice, the project provided a major step forward with the analyses conducted in the 10 cases.
The output dimension for creating impact: A “policy flight simulator” where policymakers and practitioners can experiment “on the fly” with the implementation of different policies in a realistically responding artificial population and a corresponding workshop concept have been developed (see www.local-social-innovation.eu). The sandbox tool and the workshop concept have been developed in an iterative procedure together with input from the case representatives and the follower cases.
The replicability dimension for creating impact: Case study cities were chosen to cover a broad geographic, demographic and cultural bandwidth. The selected cities fall mostly in the group of 100T to 300T residents, which encompasses around 450 of the about 900 European cities (with more than 50,000 residents). Northern, Southern, Eastern and Western cities are represented. Furthermore, the replicability of the ABM methodology was tested in several steps.
The scientific dimension for creating impact: The novel joint exploitation of quantitative and qualitative data in the social simulations created lasting impact on the respective scientific community for designing and implementing policy support tools. Intensive work has been put on developing seven fully developed ABMs for selected cases and the simulation of 58 alternative policy scenarios. The scientific achievements have been (and will still be) presented at a number of conferences and workshops as well as in scientific papers. Also in the domain of energy justice, the project provided a major step forward with the analyses conducted in the 10 cases.