A Perception-based Model for Smart Grid Adoption of Distribution System Operators - An Empirical Analysis

Smart grid technologies (SGT) comprise technologies from various domains, among others information systems (IS). IS can contribute decisively to upgrade the nowadays electromechanically controlled energy systems to electronically controlled networks. However, to date the empirical evidence regarding organizations’ technology adoption in general and SGT in particular is rather limited. Thus, we develop a model based on the technology-organization-environment framework (Tornatzky and Fleischer 1990) and validate the model based on data collected from 180 German distribution system operators. Our findings suggest that the technological and regulatory context variables are only marginal drivers while the organizational context variables (internal knowledge, dedicated staff) have a substantial impact on the adoption decision. Also the number of industry clients and firm size were found to be significant determinants. The paper’s findings help refining researchers’ understanding of organizational technology adoption and are useful for all stakeholders interested in SGT-diffusion

Scenarios for the development of smart grids in the UK: synthesis report

‘Smart grid’ is a catch-all term for the smart options that could transform the ways society produces, delivers and consumes energy, and potentially the way we conceive of these services. Delivering energy more intelligently will be fundamental to decarbonising the UK electricity system at least possible cost, while maintaining security and reliability of supply. Smarter energy delivery is expected to allow the integration of more low carbon technologies and to be much more cost effective than traditional methods, as well as contributing to economic growth by opening up new business and innovation opportunities. Innovating new options for energy system management could lead to cost savings of up to £10bn, even if low carbon technologies do not emerge. This saving will be much higher if UK renewable energy targets are achieved. Building on extensive expert feedback and input, this report describes four smart grid scenarios which consider how the UK’s electricity system might develop to 2050. The scenarios outline how political decisions, as well as those made in regulation, finance, technology, consumer and social behaviour, market design or response, might affect the decisions of other actors and limit or allow the availability of future options. The project aims to explore the degree of uncertainty around the current direction of the electricity system and the complex interactions of a whole host of factors that may lead to any one of a wide range of outcomes. Our addition to this discussion will help decision makers to understand the implications of possible actions and better plan for the future, whilst recognising that it may take any one of a number of forms

Scenarios for the development of smart grids in the UK: literature review

Smart grids are expected to play a central role in any transition to a low-carbon energy future, and much research is currently underway on practically every area of smart grids. However, it is evident that even basic aspects such as theoretical and operational definitions, are yet to be agreed upon and be clearly defined. Some aspects (efficient management of supply, including intermittent supply, two-way communication between the producer and user of electricity, use of IT technology to respond to and manage demand, and ensuring safe and secure electricity distribution) are more commonly accepted than others (such as smart meters) in defining what comprises a smart grid. It is clear that smart grid developments enjoy political and financial support both at UK and EU levels, and from the majority of related industries. The reasons for this vary and include the hope that smart grids will facilitate the achievement of carbon reduction targets, create new employment opportunities, and reduce costs relevant to energy generation (fewer power stations) and distribution (fewer losses and better stability). However, smart grid development depends on additional factors, beyond the energy industry. These relate to issues of public acceptability of relevant technologies and associated risks (e.g. data safety, privacy, cyber security), pricing, competition, and regulation; implying the involvement of a wide range of players such as the industry, regulators and consumers. The above constitute a complex set of variables and actors, and interactions between them. In order to best explore ways of possible deployment of smart grids, the use of scenarios is most adequate, as they can incorporate several parameters and variables into a coherent storyline. Scenarios have been previously used in the context of smart grids, but have traditionally focused on factors such as economic growth or policy evolution. Important additional socio-technical aspects of smart grids emerge from the literature review in this report and therefore need to be incorporated in our scenarios. These can be grouped into four (interlinked) main categories: supply side aspects, demand side aspects, policy and regulation, and technical aspects.

Power Control to the People? Private Consumers’ Acceptance of Smart Meters

The increasing diffusion of renewable energies which underlie significant daily and seasonal fluctuations increases grid operations’ complexity. For the effective use of renewable energies, innovative information and communication technologies (ICT) and concepts are necessary to efficiently balance power generation and consumption. An ICT-based innovation in this context is the smart metering technology. High-end smart meters, like advanced meter management (AMM) solutions, comprise a broad range of new services which are vital to an ICT-based energy system (eenergy) by enabling the bidirectional transfer of timely and reliable information between components of an energy system. However, to date the acceptance of smart meters has not been investigated. Using a context-specific extension of the Technology Acceptance Model (TAM) of Davis (1989), our study investigates smart meters’ acceptance based on the attitude toward use and the salient beliefs perceived usefulness, perceived ease of use, and subjective control. Results support the theorized relationships indicating that the attitude toward use fully mediates the relationship between perceived usefulness, perceived ease of use, and subjective control on intention to use. In the conclusion a detailed discussion of the study’s findings is provided and the implications for research, practice, and policy are highlighted

Exploring the Role of Control – Smart Meter Acceptance of Residential Consumers

The increasing diffusion of renewable energies which underlie significant daily and seasonal fluctuations increases grid operations’ complexity. For the effective use of renewable energies, innovative information and communication technologies (ICT) and concepts are necessary to efficiently balance power generation and consumption. An ICT-based innovation in this context is the smart metering technology allowing bidirectional transfer of information between energy systems’ components. Using a context-specific extension of the Technology Acceptance Model (TAM) of Davis (1989), our study investigates smart meters’ acceptance based on the attitude toward use and the salient beliefs perceived usefulness, perceived ease of use, and subjective control. Results support the theorized relationships indicating that the attitude toward use fully mediates the relationship between perceived usefulness, perceived ease of use, and subjective control on intention to use. In the conclusion a detailed discussion of the study’s findings is provided and the implications for research, practice, and policy are highlighted

Prosumer behaviour in emerging electricity systems

This dissertation investigates the interface between technology and society in the emerging electricity systems and in particular the role of the energy prosumer in the energy transition. It contributes to the understanding of the role of consumers in emerging electricity systems within the current EU energy policy context where consumer active participation is regarded as "a prerequisite for managing the energy transition successfully and in a cost-effective way". Emerging energy systems are characterized by a high level of complexity, especially for what concerns the behaviour of social actors. Social actors interact through physical and social networks by sharing information and learning from one another through social interactions. These interactions determine self-organization and emergent behaviours in energy consumption patterns and practices. I argue that the best suited tool to study emergent behaviours in energy consumption patterns and practices, and to investigate how consumers' preferences and choices lead to macro behaviours is agent based modelling. To build a sound characterization of the energy prosumer, I review the current social psychology and behavioural theories on sustainable consumption and collect evidence from EU energy prosumers surveys, studies and demand side management pilot projects. I employ these findings to inform the development of an agent based model of the electricity prosumer, Subjective Individual Model of Prosumer – SIMP, and its extended version, SIMP-N, that includes the modelling of the social network. I apply SIMP and SIMP-N models to study the emergence in consumer systems and how values and beliefs at consumer level (as defined by social psychology and behavioural theories and informed by empirical evidence) and social dynamics lead to macro behaviours. More specifically, I explore the diffusion of smart grid technologies enabled services among a population of interacting prosumers and evaluate the impact of such diffusion on individual and societal performance indicators under different policy scenarios and contextual factors. The analysis of the simulation results provides interesting insights on how different psychological characteristics, social dynamics and technological elements can strongly influence consumers' choices and overall system performance. I conclude proposing a framework for an integrated approach to modelling emerging energy systems and markets that extend the SIMP model to also include markets, distribution system operator and the electricity network

THE SMART METER AS A BOUNDARY OBJECT - INSIGHTS FROM AN EMPIRICAL CASE

Smart meters are often understood as central devices in the smart, flexible and sustainable electric grid, enabling consumers to adapt their electricity use to current supply. In this study we are interested in how different actors in a Swedish context understand the smart meters and fit them into their locally situated practices and contexts, and we analyze the smart meters with the concept of boundary objects as an analytical lens with the purpose of describing and explaining tensions between actors in intended and actual use of smart meters. The case study builds on empirical material from policy documents, web pages and user forums, and include the Swedish government, authorities, grid operators and electricity suppliers as well as consumers. The main conclusions are that consumers were not included in the design and roll-out of the smart meters, resulting in that the available information requires consumers to be active and resourceful experts