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Energies
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State-of-the-Art Energy Related Technologies and New Business Models in UK
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State-of-the-Art Energy Related Technologies and New Business Models in UK

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".

Deadline for manuscript submissions: closed (14 January 2022) | Viewed by 11720

Special Issue Editor

Dr. Sinan Küfeoğlu

E-Mail Website
Guest Editor
Department of Engineering, University of Cambridge, Cambridge CB2 1TN, UK
Interests: electric power reliability; energy futures; energy policy; electricity markets; energy economics

Special Issue Information

Dear Colleagues,

In 2019, the United Kingdom (UK) became the first major economy to pass a net-zero emissions law aiming to bring all greenhouse gas emissions to net zero by 2050. As the demand for green energy increases steadily, the need for resource optimisation and flexibility grows as well. Indeed, this “need perception” has enabled people to create new technologies and novel business models. Regulatory support is vital for the overall success of these technologies, and supportive policy making will be decisive for scaling and growth.

This Special Issue will provide a comprehensive overview of state-of-the-art energy-related technologies and related business models in the UK. Research articles are invited, which will provide a consolidated, up-to-date perspective in energy-related areas. The Special Issue will publish full research papers and reviews. Potential topics include but are not limited to the topics outlined in the keywords.

Dr. Sinan Küfeoğlu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Blockchain
  • Internet of Things
  • 5G 
  • Energy demand 
  • GHG emissions 
  • Energy policy 
  • Regulations 
  • Business model 
  • Electricity markets 
  • Sustainable Development Goals

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

20 pages, 2698 KiB  
Article
Designing the Business Ecosystem of a Decentralised Energy Datahub
by Sinan Küfeoğlu, Eray Açıkgöz, Yunus Emre Taşcı, Taha Yasin Arslan, Jan Priesmann and Aaron Praktiknjo
Energies 2022, 15(2), 650; https://doi.org/10.3390/en15020650 - 17 Jan 2022
Cited by 7 | Viewed by 3678
Abstract
Datahubs step forth as convenient test beds for innovative solutions to create value from the energy data. There are numerous pilots and early trials for establishing energy Datahubs, especially in northern Europe. These are all centralised models, and the centralisation of data control [...] Read more.
Datahubs step forth as convenient test beds for innovative solutions to create value from the energy data. There are numerous pilots and early trials for establishing energy Datahubs, especially in northern Europe. These are all centralised models, and the centralisation of data control and value creation can be regarded as contradictory to the decentralisation trend in the energy sector. This paper attempts to design the first decentralised energy Datahub ecosystem’s business ecosystem, with the name DenHub, using Blockchain technology. This model enables easy access to transparent and flexible energy data and new business models that will emerge upon its use. All data produced, distributed, used, and curated will help researchers and entrepreneurs study this field and propose new business models to make the energy ecosystem more efficient, clean, and inclusive. The paper also presents the differences between centralised and decentralised methods by underlining the advantages and disadvantages of both approaches. Full article
(This article belongs to the Special Issue State-of-the-Art Energy Related Technologies and New Business Models in UK)
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24 pages, 6663 KiB  
Article
Energy Optimisation Models for Self-Sufficiency of a Typical Turkish Residential Electricity Customer of the Future
by Doğukan Aycı, Ferhat Öğüt, Ulaş Özen, Bora Batuhan İşgör and Sinan Küfeoğlu
Energies 2021, 14(19), 6163; https://doi.org/10.3390/en14196163 - 27 Sep 2021
Cited by 1 | Viewed by 4856
Abstract
This paper utilises a two-stage demand response-enabled energy management algorithm for a typical Turkish self-sufficient living space. The proposed energy management model provides an additional gain in line with the goal of self-sufficiency by scheduling flexible loads and energy storage systems at home [...] Read more.
This paper utilises a two-stage demand response-enabled energy management algorithm for a typical Turkish self-sufficient living space. The proposed energy management model provides an additional gain in line with the goal of self-sufficiency by scheduling flexible loads and energy storage systems at home according to a static time of use tariff. The impact of load scheduling and battery optimisation were evaluated in the scope of self-sufficiency, economic gain and return on investment performances. According to the results, the proposed two-stage structure provided a net saving increase of 9.5% in the one-battery scenario, and it rises to 14% in the design with three batteries. On the other hand, when we inspect the energy management scenarios with the return on investment (ROI) calculations, we see that the single battery system has a higher ROI than the two or three battery systems due to the increased battery cost. Moreover, the ROI value, 13.9% without optimisation, increased to 15.3% in the proposed Home Energy Management System (HEMS) model. As can be seen from this calculation, intelligent management of batteries and flexible loads provided a 10% increase in ROI value. Full article
(This article belongs to the Special Issue State-of-the-Art Energy Related Technologies and New Business Models in UK)
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Graphical abstract

19 pages, 14970 KiB  
Article
Impact of Imbalance Pricing on Variable Renewable Energies with Different Prediction Accuracies: A Korean Case
by Heeseung Moon, Dongsu Lee, Jeongmin Han, Yongtae Yoon and Seungwan Kim
Energies 2021, 14(13), 3976; https://doi.org/10.3390/en14133976 - 2 Jul 2021
Cited by 4 | Viewed by 2389
Abstract
Although the Korean government plans to increase its share of variable renewable energies (VREs), the Korean power market is not sufficiently mature to accommodate a large increase in VRE generation. Thus, the Korean system operator plans to introduce a two-settlement, and an imbalance [...] Read more.
Although the Korean government plans to increase its share of variable renewable energies (VREs), the Korean power market is not sufficiently mature to accommodate a large increase in VRE generation. Thus, the Korean system operator plans to introduce a two-settlement, and an imbalance settlement is also under consideration, among several options. Therefore, this study analyzes how many incentives are given for prediction accuracy under several imbalance settlement schemes adopted from European and US power markets. Results show that the imbalance settlement consisting of threshold and penalty terms is useful for rule-makers, who can control revenue differences between the groups with different prediction accuracies by adjusting the two terms. The suggestion given in the paper will be useful for not only the Korean power market but also for the countries that plan to establish the imbalance settlement rules while increasing renewable energy. Full article
(This article belongs to the Special Issue State-of-the-Art Energy Related Technologies and New Business Models in UK)
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