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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://doi.org/10.3390/en15020650 - 17 Jan 2022

Cited by 8 | Viewed by 3846

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 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://doi.org/10.3390/en14196163 - 27 Sep 2021

Cited by 1 | Viewed by 5042

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 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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14 pages, 1492 KiB

Open AccessArticle

Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland

by Sinan Küfeoğlu, Niyazi Gündüz, Hao Chen and Matti Lehtonen

Energies 2018, 11(7), 1831; https://doi.org/10.3390/en11071831 - 12 Jul 2018

Cited by 9 | Viewed by 6653

Abstract

Increasing distributed generation and intermittencies, along with the increasing frequency of extreme weather events, impose a serious challenge for electric power supply security. Understanding the costs of interruption is vital in terms of enhancing the power system infrastructure and planning the distribution grid. Furthermore, customer rights and demand response techniques are further reasons to study the worth of power reliability. In this paper, the authors make use of directional distance function and shadow pricing methods in a case study of Finland. The aim is to calculate the cost of one minute of power interruption from the perspective of the distribution network operator. The sample consists of 78 distribution network operators from Finland, and uses cost and network information between 2013 and 2015. Full article

(This article belongs to the Section F: Electrical Engineering)

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21 pages, 5545 KiB

Open AccessArticle

Virtual Inertia Control-Based Model Predictive Control for Microgrid Frequency Stabilization Considering High Renewable Energy Integration

by Thongchart Kerdphol, Fathin S. Rahman, Yasunori Mitani, Komsan Hongesombut and Sinan Küfeoğlu

Sustainability 2017, 9(5), 773; https://doi.org/10.3390/su9050773 - 8 May 2017

Cited by 143 | Viewed by 14040

Abstract

Renewable energy sources (RESs), such as wind and solar generations, equip inverters to connect to the microgrids. These inverters do not have any rotating mass, thus lowering the overall system inertia. This low system inertia issue could affect the microgrid stability and resiliency in the situation of uncertainties. Today’s microgrids will become unstable if the capacity of RESs become larger and larger, leading to the weakening of microgrid stability and resilience. This paper addresses a new concept of a microgrid control incorporating a virtual inertia system based on the model predictive control (MPC) to emulate virtual inertia into the microgrid control loop, thus stabilizing microgrid frequency during high penetration of RESs. The additional controller of virtual inertia is applied to the microgrid, employing MPC with virtual inertia response. System modeling and simulations are carried out using MATLAB/Simulink^® software. The simulation results confirm the superior robustness and frequency stabilization effect of the proposed MPC-based virtual inertia control in comparison to the fuzzy logic system and conventional virtual inertia control in a system with high integration of RESs. The proposed MPC-based virtual inertia control is able to improve the robustness and frequency stabilization of the microgrid effectively. Full article

(This article belongs to the Special Issue Smart Grid)

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11 pages, 2632 KiB

Open AccessArticle

Impacts of Natural Disasters on Swedish Electric Power Policy: A Case Study

by Niyazi Gündüz, Sinan Küfeoğlu and Matti Lehtonen

Sustainability 2017, 9(2), 230; https://doi.org/10.3390/su9020230 - 8 Feb 2017

Cited by 14 | Viewed by 7056

Abstract

The future of climate and sustainable energy are interrelated. Speaking of one without mentioning the other is quite difficult. The increasing number of natural disasters pose a great threat to the electric power supply security in any part of the world. Sweden has been one of the countries that have suffered from unacceptably long blackouts. The tremendous outcomes of the power interruptions have made the field of the economic worth of electric power reliability a popular area of interest among researchers. Nature has been the number one enemy against the supply security of the electricity. This paper introduces a recent and thorough electric power reliability analysis of Sweden and focuses on the country’s struggle against climate change-related natural disasters via updating the country’s electric power policy to improve its service quality. The paper highlights the Gudrun storm of 2005 as a case study to demonstrate the severe impacts of extreme weather events on the energy systems. The economic damage of the storm on the electric power service calculated to be around 3 billion euros. Full article

(This article belongs to the Special Issue Sustainable Energy Policy and Policy Implications—Good Examples and Critical Reflections)

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12 pages, 369 KiB

Open AccessArticle

Macroeconomic Assessment of Voltage Sags

by Sinan Küfeoğlu and Matti Lehtonen

Sustainability 2016, 8(12), 1304; https://doi.org/10.3390/su8121304 - 12 Dec 2016

Cited by 17 | Viewed by 4950

Abstract

The electric power sector has changed dramatically since the 1980s. Electricity customers are now demanding uninterrupted and high quality service from both utilities and authorities. By becoming more and more dependent on the voltage sensitive electronic equipment, the industry sector is the one which is affected the most by voltage disturbances. Voltage sags are one of the most crucial problems for these customers. The utilities, on the other hand, conduct cost-benefit analyses before going through new investment projects. At this point, understanding the costs of voltage sags become imperative for planning purposes. The characteristics of electric power consumption and hence the susceptibility against voltage sags differ considerably among different industry subsectors. Therefore, a model that will address the estimation of worth of electric power reliability for a large number of customer groups is necessary. This paper introduces a macroeconomic model to calculate Customer Voltage Sag Costs (CVSCs) for the industry sector customers. The proposed model makes use of analytical data such as value added, annual energy consumption, working hours, and average outage durations and provides a straightforward, credible, and easy to follow methodology for the estimation of CVSCs. Full article

(This article belongs to the Special Issue Sustainable Electric Power Systems Research)

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