Energies

Research

20 pages, 2698 KiB

Open AccessArticle

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://0-doi-org.brum.beds.ac.uk/10.3390/en15020650 - 17 Jan 2022

Cited by 4 | Viewed by 2792

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

Open AccessArticle

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://0-doi-org.brum.beds.ac.uk/10.3390/en14196163 - 27 Sep 2021

Viewed by 4021

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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19 pages, 14970 KiB

Open AccessArticle

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://0-doi-org.brum.beds.ac.uk/10.3390/en14133976 - 02 Jul 2021

Cited by 4 | Viewed by 1773

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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