Coordinating Energy Based Business Models and Customer Empowerment in Future Smart Grids

Author(s):  
Shahid Hussain ◽  
Rune Gustavsson
2021 ◽  
Vol 19 (4) ◽  
pp. 1-19
Author(s):  
Ruihui Pu ◽  
Xiang Li ◽  
Pujiayi Chen

Sustainability promotes a feasible strategy to achieve a continuous development of the economy, society, and environment. This study aims to analyze the growing efforts on researches made by academic communities in exploring the sharing economy as a potential approach to promote sustainable development. A bibliometric approach with VOSviewer and COOC analysis was applied. A total number of 975 published articles were analyzed in this study. As a result, it was found that few studies have shed light on collaborative and sustainable consumption, climate change, and bioeconomy in the sharing economy by country, such as renewable resources and business models, circular economy in China, and life cycle assessment, particularly taking evidence from the urban mobility services in China. It was also revealed that there is a new indiscipline research trend in the field of sustainable development such as sustainable business models, game theory, blue economy, peer-to-peer accommodation, smart grids, and electric vehicles. Other trend concentrates on technological advancements and policies to promote sustainable development in the sharing economy.


Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2140 ◽  
Author(s):  
Sofana Reka. S ◽  
Tomislav Dragičević ◽  
Pierluigi Siano ◽  
S.R. Sahaya Prabaharan

Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are considered to be advantageous for the smart grid. The 5G networks exhibit relevant services for critical and timely applications for greater aspects in the smart grid. In the present day electricity markets, 5G provides new business models to the energy providers and improves the way the utility communicates with the grid systems. In this work, a complete analysis and a review of the 5G network and its vision regarding the smart grid is exhibited. The work discusses the present day wireless technologies, and the architectural changes for the past years are shown. Furthermore, to understand the user-based analyses in a smart grid, a detailed analysis of 5G architecture with the grid perspectives is exhibited. The current status of 5G networks in a smart grid with a different analysis for energy efficiency is vividly explained in this work. Furthermore, focus is emphasized on future reliable smart grid communication with future roadmaps and challenges to be faced. The complete work gives an in-depth understanding of 5G networks as they pertain to future smart grids as a comprehensive analysis.


Author(s):  
András Puskás-Tompos

AbstractThe aim of the paper research is to identify and improve business models in energy trading by analyzing the current situation and developing scenarios for the evolution of business models in the Digital Era. It is very important to analyze, identify and track those directions that we believe will drive energy trading in order to be able to design and create new sustainable business models. We highlight the possibilities and ways of improving the energy trading, analyzing the rapid evolution of the field, generated by the emergence of several new factors that can influence this industry. Beside those directions at which electricity trading is heading in the Digital Era, the research also describes main innovations in the field such as Smart Grids, Blockchain Technology, Peer-to-peer trading platforms and Demand Response through which the purpose is to attract final consumers to the energy trading on web platforms or mobile applications with which they can properly control their electric appliances and self-generation units in their homes, all these supervised and guided by artificial intelligence. The type of research proposed to identify the current condition and to be able to develop new trading models is empirical research through qualitative analysis. Beyond incentives and monetary benefits, the focus is on final consumer education and increased awareness towards a more conscious, optimal and rational consumption of electricity that can lead to both a better use of the energy production from renewable sources and a reduction of pollutant fossil fuel electricity generation and carbon dioxide emissions without endangering the proper functioning of the electricity systems. Previous researches are based more on incentivizing or penalizing end consumers in present paper, more emphasis is placed on attracting the end consumer to his own electricity trading through mentioned innovation, but also supervised and guided by artificial intelligence.


der markt ◽  
2012 ◽  
Vol 51 (2-3) ◽  
pp. 63-74 ◽  
Author(s):  
Hans C. Curtius ◽  
Karoline Künzel ◽  
Moritz Loock
Keyword(s):  

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2678
Author(s):  
Pierluigi Siano ◽  
Miadreza Shafie-khah

The current power system should be renovated to fulfill social and industrial requests and economic advances [...]


Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6267
Author(s):  
Pil-Sung Woo ◽  
Balho H. Kim

Smart grids (SGs) are attracting attention as high value-added platforms, which mass-produce new business models through real-time information sharing. However, the open-ended information structure of SGs increases the risk of exposure to cyberattacks through the creation of multiple communication access points. In a power system where a real-time balance of supply and demand is essential, cyberattacks result in cascading failures leading to power outages. Therefore, this paper proposes a method to evaluate the robustness of large-scale SGs against cybersecurity disturbances. The proposed evaluation method established a hierarchy quantification technique considering the structural characteristics of SGs. With respect to the cyber hierarchy, relevant standards (NERC CIP, NIST FIPS) were applied to classify the grades of information security risk. In the case of physical hierarchy, the power system was calculated by using optimal power flow and analyzed the frequency stability. This study was aimed at identifying the vulnerabilities in the physical topology aspect of intelligent power systems due to cybersecurity disturbances.


2021 ◽  
Vol 294 ◽  
pp. 02007
Author(s):  
Fabio Silva ◽  
Brian O’Regan

Smart Grids (SGs) are at the forefront of the renewable resources transformative change for power generation. Due to its decentralised energy generation approach and potential reduction of the cost of power, its relevance for the energy sector is insurmountable. However, new business models and processes are necessary, and they come with integration, implementation, and operation-specific challenges. This work offers a broad analysis of SG’ main architectural aspects concerning security issues, integration bottlenecks and standardisation shortcomings in the development of an efficient platform for local energy (generation and storage) surplus trading. Through a multi-layered smart grid architecture description, this work develops an in-depth depiction of the interoperability between these layers (from top business layer passing through information and communications layers, and down to generation and storage layers). Therefore, this paper encompasses a comprehensive framework to address central smart grids design aspects and suggests a path to integrate the smart grid components into a cohesive and manageable trading platform. Finally, this work demonstrates how the proposed framework can be applied to real market study cases to highlight its solutions, provide a critical evaluation of potential implementation pitfalls, and identify opportunities for further stateof-the-art research.


2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.


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