Suchergebnisse

The European Union has set itself ambitious emission-reduction targets—becoming carbon neutral by 2050. The member states' energy systems are increasingly switching to renewable and decentralized configurations, in line with the EU guidelines. This is accompanied by the support for "prosumers"—entities that both consume and generate renewable energy. In parallel, a number of prosumer support schemes are emerging as a result of the search for optimal development paths. At the same time, the COVID-19 pandemic has significantly affected the power market, causing huge anomalies mainly in demand and billing. The objective of the study was to assess the impact of the proposed changes in the prosumer schemes on the level of benefits prosumers obtained, including the performance of sensitivity analyses reflected in different levels and stability of electricity consumption resulting from extreme situations caused by the COVID-19 pandemic. Numerical computer simulations for five predefined prosumer support schemes were carried out in the R-project environment. The basic conclusion is that the prosumer benefits most from participating in the applicable discount mechanism, in which the unused energy is fed into a network storage, from which the prosumer can take 70% or 80% of the stored volume. The research also allows us to conclude that in Poland the COVID-19 pandemic has had a very significant impact on the level and profile of energy demand due to the introduction of restrictions on selected areas and economic sectors. The reduced demand is particularly visible in services (−58%), tourism and sport (−39%), and education (−19%). The analysis is an important contribution to the search for an optimal model of prosumer market development in Europe.

The growing importance of sustainable development, especially regarding environmental issues, contributes to shaping new trends at the level of enterprises. Sustainable development is perceived as a source of new entrepreneurial opportunities that serve to solve social and environmental problems. The main objective of this study is to identify factors supporting and hindering the development of enterprise innovativeness exemplified by the bioeconomy sector in Poland. A research analysis was based on the Entrepreneurial Discovery Process (EDP) model. The study employed the method of critical literature analysis, as well as qualitative methods, such as individual direct interviews with experts and smart labs with 252 enterprises from the economic sector. The results of the research analysis show that the innovative activity of enterprises in the bioeconomy sector depends on external, as well as internal, factors. This is particularly important, owing to the impact of enterprises on the environment and on society, as they contribute to the creation and implementation of new, more sustainable production and consumption models.

The monograph aims to comprehensively describe Artificial Intelligence technology in three aspects: organizational, psychological, and technological in the context of increasingly bold use of this technology in management.