Digitalisation and New Business Models in Energy Sector

This paper reviews digitalisation in energy sector by looking at the business models of 40 interesting new start-up energy companies from around the world. These start-ups have been facilitated by the rise of distributed generation, much of it intermittent in nature. We review Artificial Intelligence (AI), Machine Learning, Deep Learning and Blockchain applications in energy sector. We discuss the rise of prosumers and small-scale renewable generation, highlighting the role of Feed-in-Tariffs (FITs), the Distribution System Platform concept and the potential for Peer-to-Peer (P2P) trading. Our aim is to help energy regulators calibrate their support new business models

FinBook: literary content as digital commodity

This short essay explains the significance of the FinBook intervention, and invites the reader to participate. We have associated each chapter within this book with a financial robot (FinBot), and created a market whereby book content will be traded with financial securities. As human labour increasingly consists of unstable and uncertain work practices and as algorithms replace people on the virtual trading floors of the worlds markets, we see members of society taking advantage of FinBots to invest and make extra funds. Bots of all kinds are making financial decisions for us, searching online on our behalf to help us invest, to consume products and services. Our contribution to this compilation is to turn the collection of chapters in this book into a dynamic investment portfolio, and thereby play out what might happen to the process of buying and consuming literature in the not-so-distant future. By attaching identities (through QR codes) to each chapter, we create a market in which the chapter can ‘perform’. Our FinBots will trade based on features extracted from the authors’ words in this book: the political, ethical and cultural values embedded in the work, and the extent to which the FinBots share authors’ concerns; and the performance of chapters amongst those human and non-human actors that make up the market, and readership. In short, the FinBook model turns our work and the work of our co-authors into an investment portfolio, mediated by the market and the attention of readers. By creating a digital economy specifically around the content of online texts, our chapter and the FinBook platform aims to challenge the reader to consider how their personal values align them with individual articles, and how these become contested as they perform different value judgements about the financial performance of each chapter and the book as a whole. At the same time, by introducing ‘autonomous’ trading bots, we also explore the different ‘network’ affordances that differ between paper based books that’s scarcity is developed through analogue form, and digital forms of books whose uniqueness is reached through encryption. We thereby speak to wider questions about the conditions of an aggressive market in which algorithms subject cultural and intellectual items – books – to economic parameters, and the increasing ubiquity of data bots as actors in our social, political, economic and cultural lives. We understand that our marketization of literature may be an uncomfortable juxtaposition against the conventionally-imagined way a book is created, enjoyed and shared: it is intended to be

Review of blockchain-based distributed energy: Implications for institutional development

The future of energy is complex, with fluctuating renewable resources in increasingly distributed systems. It is suggested that blockchain technology is a timely innovation with potential to facilitate this future. Peer-to-peer (P2P) microgrids can support renewable energy as well as economically empower consumers and prosumers. However, the rapid development of blockchain and prospects for P2P energy networks is coupled with several grey areas in the institutional landscape. The purpose of this paper is to holistically explore potential challenges of blockchain-based P2P microgrids, and propose practical implications for institutional development as well as academia. An analytical framework for P2P microgrids is developed based on literature review as well as expert interviews. The framework incorporates 1) Technological, 2) Economic, 3) Social, 4) Environmental and 5) Institutional dimensions. Directions for future work in practical and academic contexts are identified. It is suggested that bridging the gap from technological to institutional readiness would require the incorporation of all dimensions as well as their inter-relatedness. Gradual institutional change leveraging community-building and regulatory sandbox approaches are proposed as potential pathways in incorporating this multi-dimensionality, reducing cross-sectoral silos, and facilitating interoperability between current and future systems. By offering insight through holistic conceptualization, this paper aims to contribute to expanding research in building the pillars of a more substantiated institutional arch for blockchain in the energy sector

Decentralized autonomous organization as a disruptive innovation in insurance industry

Blockchain technology has raised a lot of discussions within academia as well as in financial industry. The founder of Ethereum, Vitalik Buterin, was first to introduce the idea of decentralized autonomous organization (DAO), in which blockchain and smart contracts are used to form a new kind of organization. This concept is at the center of this study: could DAO disrupt the insurance industry? DAO in this thesis is referred to as a system which utilizes transparent blockchain technology and smart contracts while being both governed and owned in a decentralized manner. This qualitative research focuses on providing a comprehensive view on DAO’s potential in insurance industry on a conceptual level. The findings combine expertise gathered from 17 informants in semi-structured interviews. This research describes the changes in insurance value chain. Additionally, several possibilities for DAO utilization in insurance industry were identified. The DAO potential is also reviewed from the perspective of a disruptive innovation, as the main research question of this study aims to understand the disruptive potential (if there is such) of DAO in insurance industry. The main finding of this research is that DAO’s disruptive potential in insurance industry cannot be completely denied. However, there are still many open questions which stem from mindset change, regulation, governance, social construction, consumer perspective, quality of information, and technological maturity. The study did not find challenges that would have been seen as unsolvable barriers for DAO adoption. Furthermore, markets where DAO would not have any potential could not be identified. Another key finding concerns how DAO could affect insurance value chain — in essence, DAO has potential to affect all parts of the insurance value chain, depending on the chosen implementation strategy. Based on this research, DAO seems to have manifold potential in insurance industry. Three main categories arose from the expert interviews regarding opportunities to exploit DAO in insurance: (1) peer-to-peer insurance models, (2) new markets, and, most notably, (3) existing companies could also act as DAO exploiters. Specifically, it seems that existing companies may utilize DAOs in three different ways: (1) as internal startup for certain products, (2) as an entity to which a particular part of the value chain is outsourced to, and (3) in a way, we don't know yet

Blockchain-Supported Food Supply Chain Reference Architecture

Department of Management EngineeringA food security issue increased rapidly due to numerous food frauds and tragic incidents and overall growth in the scale of food supply chain network in the last years. Since the recent evolution of Blockchain technology, it promises high potential ability to guarantee and trace the originality of products in supply chain network The main purpose of this research work is to build general Blockchain-supported food supply chain reference architecture model along with supplementary guidelines which could be applied in real-life supply chain cases with or without customization or inspire their design of supply chain system. A case driven bottom-up approach is used to create the reference architecture with the help of BOAT framework as a base tool to align the case details. A total of three food supply chain cases were utilized for the development of reference architecture and third case study of Mongolian meat trade supply chain was examined with the proposed solution and finally evaluated by the local experts. I believe this reference framework will help fellow researchers and industry practitioners to use this as a base knowledge without beginning from the scratches because current literature lacks extremely in this field. In overall, I expect this work will contribute to the current literature in the followings: 1. To expand the implementation mechanism of Blockchain solutions in general supply chain cases especially in food supply chain. 2. To provide practical exemplary implementation of real life case scenarios 3. To provide detailed analysis of benefits and weaknesses of using Blockchain in food supply chainope