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Local flexibility markets (LFM) for electricity are in their early stages, and most research has focused on their design aspects and aggregators, while little attention has been paid to providers and potential providers of flexibility resources. The present research aims to fill this gap by analysing data from 25 in-depth interviews with enrolled and potential flexibility service providers of two LFMs in Sweden. The primary goal of the analysis is to identify the drivers and barriers to participating in and providing flexibility to LFMs that are influencing these actors. Our findings show that monetary incentives were not as important as expected. The main drivers were as follows: an aggregator acting as a mediator between the buyer and the provider; a champion with personal engagement in the organisation; a wish to be a part of resolving congestion in the electricity grid; and gaining knowledge about flexibility as a resource. The main barriers identified were that LFM design was challenging to understand and that extensive knowledge about how the market functions was needed to participate. Other barriers were related to existing regulations, manual and time-consuming processes, participation not being profitable enough, perceived interference with the companies’ core businesses, and the risk of compromising customer relationships. For the future, it is essential to simplify participation, develop automation, and contribute to establishing aggregators who can support potential flexibility service providers.

Improved means of controlling electricity consumption plays an important part in boosting energy efficiency in the Swedish power market. Developing policy instruments to that end requires more in-depth statistics on electricity use in the residential sector, among other things. The aim of the study has accordingly been to assess the extent of variance in annual electricity consumption in single-family homes as well as to estimate the impact of household features and building properties in this respect using independent samples t-tests and one-way as well as univariate independent samples analyses of variance. Statistically significant variances associated with geographic area, heating system, number of family members, family composition, year of construction, electric water heater and electric underfloor heating have been established. The overall result of the analyses is nevertheless that variance in residential electricity consumption cannot be fully explained by independent variables related to household and building characteristics alone. As for the methodological approach, the results further suggest that methods for statistical analysis of variance are of considerable value in indentifying key indicators for policy update and development.

Increased demand response is essential to fully exploit the Swedish power system, which in turn is an absolute prerequisite for meeting political goals related to energy efficiency and climate change. Demand response programs are, nonetheless, still exceptional in the residential sector of the Swedish electricity market, one contributory factor being lack of knowledge about the extent of the potential gains. In light of these circumstances, this empirical study set out with the intention of estimating the scope of households’ response to, and assessing customers’ perception of, a demand-based time-of-use electricity distribution tariff. The results show that households as a whole have a fairly high opinion of the demand-based tariff and act on its intrinsic price signals by decreasing peak demand in peak periods and shifting electricity use from peak to off-peak periods.