scholarly journals Future Renewable Energy Communities Based Flexible Power Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 121
Author(s):  
Marcelo G. Simões ◽  
Felix A. Farret ◽  
Hosna Khajeh ◽  
Mahdi Shahparasti ◽  
Hannu Laaksonen

This paper presents a new holistic approach that combines solutions for the future power systems. It describes clearly how solar energy is definitely the best outlet for a clean and sustainable planet, either due to their use in both vertical (V) or horizontal (H) forms such as: hydroelectric V&H, wind V&H, thermo-oceanic V&H, water movement sea V&H (tides and waves), solar thermoelectric, PV, and surface geothermal energy. New points of view and simple formulas are suggested to calculate the best characteristic intensity, storage means and frequency for specific places and how to manage the most well-known renewable sources of energy. Future renewables-based power system requires a huge amount of flexibility from different type and size of controllable energy resources. These flexible energy resources can be used in an aggregated manner to provide different ancillary services for the distribution and transmission network. In addition, flexible energy resources and renewable generation can be utilized in different kinds of energy communities and smart cities to benefit all stakeholders and society at the same time with future-proof market structures, new business models and management schemes enabling increased utilization of flexible energy resources. Many of the flexible energy resources and renewable-based generation units are also inverter-interfaced and therefore the authors present future power converter systems for energy sources as well as the latest age of multilevel converters.

Energy Policy ◽  
2011 ◽  
Vol 39 (6) ◽  
pp. 3392-3403 ◽  
Author(s):  
Fabian Kley ◽  
Christian Lerch ◽  
David Dallinger

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Philippe Cedraz Lopes ◽  
Juliana Carla Santos da Silva ◽  
Lílian Lefol Nani Guarieiro ◽  
Davidson Martins Moreira

AbstractAn evolution of smart and connected cars allows the advancement of smart cities and new business models for automakers. The main objective of this article was to understand the capability of Brazilian vehicles to collect meteorological data, through an observational approach of vehicle technologies and an applied study of automatic weather stations. In 2020, when the world was affected by the COVID-19 pandemic, many studies were conducted in order to find a possible relationship between these meteorological data and the incidence of the novel coronavirus. Through this study, meteorological variables that are collected by the stations, as well as vehicles, were compared in order to evaluate the potential of data combination, in addition to the analysis of the influence of these variables in pandemic cases like COVID-19. In this context, it was understood the vehicle’s advancement as a mobile sensor and the usage of vehicle’s data as a tool for a better understanding of the COVID-19 pandemic.


2020 ◽  
Author(s):  
Ben Mkalama ◽  
Bitange Ndemo

As the fourth industrial revolutions technologies intensify, cities are becoming smarter, new business models are emerging and informal enterprises are formalizing by default. Research demonstrates that the future of our world is decided by the quality of its future cities. As cities invest in information and communication technologies (ICTs) and embrace the Fourth Industrial Revolution (4IR) technologies to make life easier and solve many of the problems we face today, employment opportunities expand and citizens enjoy better lifestyle. This chapter will examine how the concept of smart cities is disrupting existing business models and creating new ones that have positively impacting Africa’s informal enterprise sector. The chapter leverages abundance theory to explain the emerging phenomenon in the nexus between smart cities, new business models and informal enterprises in Sub-Saharan Africa. The study finds that indeed the concept of smart cities is indeed facilitating new business models that are formalizing the informal sector.


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 491 ◽  
Author(s):  
Josue do Prado ◽  
Wei Qiao ◽  
Liyan Qu ◽  
Julio Agüero

The increasing adoption of distributed energy resources (DERs) and smart grid technologies (SGTs) by end-user retail customers is changing significantly both technical and economic operations in the distribution grid. The next-generation retail electricity market will promote decentralization, efficiency, and competitiveness by accommodating existing and new agents through new business models and transactive approaches in an advanced metering infrastructure (AMI). However, these changes will bring several technical challenges to be addressed in transmission and distribution systems. Considerable activities have been carried out worldwide to study the impacts of integrating DERs into the grid and in the wholesale electricity market. However, the big vision and framework of the next-generation retail market in the context of DERs is still unclear. This paper aims to present a brief review of the present retail electricity market, some recent developments, and a comprehensive vision of the next-generation retail electricity market by describing its expected characteristics, challenges, needs, and future research topics to be addressed. A framework of integrating retail and wholesale electricity markets is also presented and discussed. The proposed vision and framework particularly highlight the necessity of new business models and regulatory initiatives to establish decentralized markets for DERs at the retail level as well as advances in technology and infrastructure necessary to allow the widespread use of DERs in active and effective ways.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yao Jun ◽  
Alisa Craig ◽  
Wasswa Shafik ◽  
Lule Sharif

Devices are increasingly getting connected to the internet with the advances in technologies called the Internet of Things (IoT). The IoTs are the physical device in which are embedded with software, sensors, among other technologies. Linking and switching data resources with other devices, IoT has been recognized to be a trending research arena due to the world’s technological advancement. Every stage of technology avails several capacities, for instance, the IoT avails any device, anyone, any service, any technological path or any network, any place, and any context to be connected. The effective IoT applications permit public and private business organizations to regulate their assets, optimize the performance of the business, and develop new business models. In this study, we scrutinize the IoT progress as an approach to the technological upgrade through analyzing traits, architectures, applications, enabling technologies, and future challenges. To enable an aging society, and optimize different kinds of mobility and transportation, and helps to enhance the effectiveness of energy, along with the definition and characteristics of the IoT devices, the study examined the architecture of the IoT that includes the perception layer, transmission layer, application layer, and network management. It discusses the enabling technologies of the IoT that include application domain, middleware domain, network domain, and object domain. The study further evaluated the role of the IoT and its application in the everyday lives of the people by making smart cities, smart agriculture and waste management, retail and logistics, and smart environment. Besides the benefits, the IoT has demonstrated future technological challenges and is equally explained within the study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Angeliki Maria Toli ◽  
Niamh Murtagh ◽  
Hedley Smyth

PurposeSmart city projects typically operate in consortia of actors that lead to the co-creation of jointly owned intellectual property (IP) and data. While IP and data are significant for economic development, there are very limited studies on their co-ownership regimes especially on co-ownership of open data and open intellectual property. This study address this gap.Design/methodology/approachThis study is qualitative. In total, 62 in-depth semi-structured interviews were carried out, with predominantly senior members of organisations actively involved in smart city projects. Thematic analysis was used to analyse the data.FindingsThere are three models of co-ownership of IP and data: contractual joint ownership, undetermined or not-yet-determined ownership and open ownership. Each ownership model impacts differently the value-in-use. The relationships between actors in the consortia affect the way in which they co-create IP and data.Originality/valueThis study demonstrates how projects that operate in new models of innovation-led consortia produce new types of resources that are not simply co-created but co-owned. Co-owned resources have different value-in-use for each one of the different actors, independently of the fact that they jointly own them. This is influenced by the type of ownership model and predisposition of the actors to initially share resources and be flexible. Co-owned resources may generate future value propositions, act as interconnected operant resources and lead to the creation of new business models.


2018 ◽  
Vol 331 ◽  
pp. 191-201
Author(s):  
Alexander Prosser

The Smart City Concept throughout all its current definitions is essentially a system that uses state-of-the-art ICT to provide and process information, to adapt and learn. The Internet of Things and advances in affordable sensor technology play an additional important role. The net result of the “smartification” of a city is the creation of a living, networked system of assets, devices and infrastructure. This living system continuously collects data that enables the system to learn and evolve. This is nothing new or path-breaking. In logistics and the manufacturing industry, this concept has been widely implemented to optimise supply chains, from predictive maintenance, to dynamic route optimisation and online business intelligence (BI). “Industry 4.0” has evolved from a buzzword to everyday reality. Moreover, these technologies do not just “electrify” existing processes – they enable new processes and beyond that even completely new business models that would not have been feasible with the pre-Industry-4.0 technology. Particularly the advent of in-memory business analytics that enables BI from the original transaction data in an on-demand/online fashion has facilitated this development. Now, the public sector is discovering these technologies for its own purposes. This contribution attempts to show the parallelism, but also differences between smart cities and Industry 4.0, where learning effects may occur and known pitfalls may be avoided.


2020 ◽  
Vol 10 (12) ◽  
pp. 4083
Author(s):  
Pedro J. Fernández ◽  
José Santa ◽  
Antonio F. Skarmeta

Positioning capabilities have become essential in context-aware user services, which make easier daily activities and let the emergence of new business models in the trendy area of smart cities. Thanks to wireless connection capabilities of smart mobile devices and the proliferation of wireless attachment points in buildings, several positioning systems have appeared in the last years to provide indoor positioning and complement GPS for outdoors. Wi-Fi fingerprinting is one of the most remarkable approaches, although ongoing smart deployments in the area of smart cities can offer extra possibilities to exploit hybrid schemes, in which the final location takes into account different positioning sources. In this paper we propose a positioning system that leverages common infrastructure and services already present in smart spaces to enhance indoor positioning. Thus, GPS and WiFi are complemented with access control services (i.e., ID card) or Bluetooth Low Energy beaconing, to determine the user location within a smart space. Better position estimations can be calculated by hybridizing the positioning information coming from different technologies, and a handover mechanism between technologies or algorithms is used exploiting semantic information saved in fingerprints. The solution implemented is highly optimized by reducing tedious computation, by means of opportunistic selection of fingerprints and floor change detection, and a battery saving subsystem reduces power consumption by disabling non-needed technologies. The proposal has been showcased over a smart campus deployment to check its real operation and assess the positioning accuracy, experiencing the noticeable advantage of integrating technologies usually available in smart spaces and reaching an average real error of 4.62 m.


Author(s):  
Adrian Tantau ◽  
Maria Alexandra Maassen

This chapter is dedicated to business models for green retrofitting on a more holistic approach that enables to think and integrate the economic, social and environmental perspective in a business model. The chapter is a result of research regarding new business models for green retrofitting and presents a framework for developing business models for green retrofitting in the building sector based on the Triple-Layer Business Model Canvas. The business models for green retrofitting could be an important instrument for introducing new green characteristics such as energy efficiency, optimal energy performance, and new comfort standards in the building environment. Green retrofitting is responding to the dynamics of the economic and technological development, and to the new lifestyle of the peoples. The implementation of such a model will be also a catalyst for reducing the emissions of greenhouse gases in the building environment.


Author(s):  
Iris Gräßler ◽  
Henrik Thiele ◽  
Christian Oleff ◽  
Philipp Scholle ◽  
Veronika Schulze

AbstractComplexity of products and systems is increasing through digitalization, interdisciplinarity as well as high technology maturity and new business models. In consequence, new product development (NPD) projects need to manage and satisfy a large number of requirements from a broad range of stakeholders. Yet, NPD projects are often delayed due to requirement changes. In this paper, a new method for analyzing requirement change propagation is presented. The method is based on the assessment of requirement interrelations structured in a requirements structure matrix by a modified page-rank algorithm. By the method, a high number of strongly interrelated requirements can be analyzed in an efficient manner. Additionally, higher-level interrelations as well as the relative weights of requirements are also incorporated in the analysis. Hereby, an efficient holistic approach towards the analysis of requirement change propagation is proposed.


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