Many smart grid projects make use of dynamic pricing schemes aimed to motivate consumers to shift and/or decrease energy use. Based upon existing literature and analyses of current smart grid projects, this survey paper presents key lessons on how to encourage households to adjust energy end use by means of dynamic tariffs. The paper identifies four key hypotheses related to fostering demand response through dynamic tariff schemes and examines whether these hypotheses can be accepted or rejected based on a review of published findings from a range of European pilot projects. We conclude that dynamic pricing schemes have the power to adjust energy consumption behavior within households. In order to work effectively, the dynamic tariff should be simple to understand for the end users, with timely notifications of price changes, a considerable effect on their energy bill and, if the tariff is more complex, the burden for the consumer could be eased by introducing automated control. Although sometimes the mere introduction of a dynamic tariff has proven to be effective, often the success of the pricing scheme depends also on other factors influencing the behavior of end users. An important condition to make dynamic tariffs work is that the end users should be engaged with them.

This paper provides novel additional evidence on the characteristics of Collective Action Initiatives (CAIs), investigating their role within the European energy sector. It analyses and presents results of a survey administered in six European countries: the Netherlands, Belgium, Italy, Poland, Estonia, and Spain. CAIs are studied in light of four key dimensions, those being their creation dynamics, the way they are organized, financed, and the activities they undertake. The results presented are also interpreted to reflect on their role as drivers of social innovation (SI) within energy transition in Europe. The analysis shows that the contribution of CAIs to the energy transition has a much wider scope than the development of energy projects and provision of energy services. CAIs are intrinsically socially innovative models of implementation as characterised by a strong level of citizen involvement and participation. Moreover, they have a potential multi-level role in the energy transition, from the technological and social perspectives. Indeed, alongside traditional energy activities, our results show that CAIs are evolving and expanding towards socially innovative activities, raising awareness on environmental issues, promoting citizens’ mobilization, and fostering social inclusion.

Decentralized energy systems enable a higher integration of electricity generation by renewable energy sources supported by electric storage and may significantly reduce greenhouse gas emissions for electricity generation. While the environmental impact of single technologies has received great attention in recent years, the environmental impacts of decentralized energy generation and storage technologies remain unaddressed. This study presents a cradle-to-grave life cycle assessment of those technologies in Belgium for 2030 and 2050. The system technologies comprise single-Si photovoltaic installations combined with lithium-ion and second-life batteries. To compile the life cycle inventory (LCI), energy balances are built based on a Belgian impact energy model. The flexibility of the energy system is introduced by different EV charging strategies and distinct modes of stationary battery storage with the Belgium electricity grid, represented by four different scenarios: i) low flexibility, ii) medium flexibility, iii) high flexibility, and iv) high flexibility with high prosumer potential (PPH). The midpoint impact categories climate change, land use, mineral resource scarcity and terrestrial ecotoxicity of ReCiPe life cycle impact assessment method are analyzed. The decentralized energy generation and storage technologies in Belgium in 2050 result in 64.51 gCO₂eq/kWh of consumed electricity for the medium flexibility scenario, representing a 72 % decrease compared to 2014. However, these reductions are driven by changes in the national electricity mix. Land use impacts are also reduced, up to 72 % for the high flexibility PPH scenario. In contrast, mineral resource scarcity and terrestrial ecotoxicity rise over time in the high flexibility PPH scenario in 2050 to 46 % and 66 %, respectively. A perturbation analysis is conducted to assess the sensitivity of the results, showing solar irradiation as the most sensitive parameter. One way to further reduce the environmental impacts of decentralized energy systems could be to investigate new strategies for the end-of-life of photovoltaic installations and batteries.

In this article, we take stock of the findings from conceptual and empirical work on the role of transition initiatives for accelerating transitions as input for modeling acceleration dynamics. We applied the qualitative modeling approach of causal loop diagrams to capture the dynamics of a single transition initiative evolving within its regional context. In doing so, we aim to address two key challenges in transition modeling, namely conceptualization, and the framing of empirical insights obtained for various case study regions in a consistent modeling framework. Our results show that through this systematic approach one can translate conceptual and qualitative empirical work into a transition model design. Moreover, the causal loop diagrams can be used as discussion tools to support dialogue among researchers and stakeholders, and may support a comparison of transition dynamics across case-study regions. We reflect on main limitations related to empirical model validation (lack of data) and to model structure (high level of aggregation), and describe next steps for moving from a qualitative single transition initiative to a quantitative multiple transition initiatives model.

The authors present an agent-based model representing a policy process among stakeholders of river management. For evaluating the different river management alternatives, the agent-based model is coupled to an integrated river model that describes the impacts of river management, such as flood risk, nature development, and costs. The model is applied to the case of the ongoing Dutch river management project “Grensmaas.” The authors analyze stakeholder support and reconstruct the observed policy outcomes of the Grensmaas project over the past 15 years to provide a first validation of the model. They then assess how stakeholder support and the policy outcome might change when stakeholders would change their preference structures or take climate change into account. They argue that the main virtue of the developed modeling framework lies in its application within participatory processes, to support stakeholders to reflect on their goals and uncertainty perspectives in a social context.