Time-of-Use Tariff with Local Wind Generation

Abouzar Estebsari; Aaron Gillich

doi:10.1109/EEEIC/ICPSEurope57605.2023.10194842

Time-of-Use Tariff with Local Wind Generation

Abouzar Estebsari, Aaron Gillich

Civil and Building Services Engineering

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Abstract

Renewable energy, such as wind power, is known to significantly reduce system costs and carbon emissions. However, traditional Time of Use (ToU) tariffs fail to account for local energy generation. To overcome this limitation, we propose a mechanism for calculating new ToU tariffs that incorporates Agile ToU and local energy resources, such as a wind farm. By partially supplying local consumption, wind energy can reduce electricity costs for consumers and encourage load shifting towards peak renewable energy production periods. We demonstrate the effectiveness of the proposed mechanism by testing it on a case study of a residential area in Wales, UK, where electricity would be partially supplied by a nearby wind farm with 5 turbines through a Power Purchase Agreement (PPA). The results show that the new tariff significantly reduces electricity bills.

Original language	English
DOIs	https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194842
Publication status	Published - 3 Aug 2023
Event	IEEE 23rd International Conference on Environment and Electrical Engineering (EEEIC) - Madrid, Spain Duration: 6 Jun 2023 → 9 Jun 2023 https://www.aconf.org/conf_187075.2023_IEEE_International_Conference_on_Environment_and_Electrical_Engineering_and_2023_IEEE_Industrial_and_Commercial_Power_Systems_Europe.html

Conference

Conference	IEEE 23rd International Conference on Environment and Electrical Engineering (EEEIC)
Country/Territory	Spain
City	Madrid
Period	6/06/23 → 9/06/23
Other	The aim of the conferences is to give the opportunity of a genuine and constructive dialogue among participants on the hot-topics and far-reaching challenges that engineers and scientists are called to face in the present days. The conference is so a precious chance to discuss recent developments and practical applications in crucial areas, such as sustainable and renewable energy production, energy storage, smart grids, microgrids, energy communities, smart buildings, energy conversion, sustainable transport systems, EMC control in lightning and grounding systems, novel materials and nanotechnology.
Internet address	https://www.aconf.org/conf_187075.2023_IEEE_International_Conference_on_Environment_and_Electrical_Engineering_and_2023_IEEE_Industrial_and_Commercial_Power_Systems_Europe.html

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10.1109/EEEIC/ICPSEurope57605.2023.10194842Licence: CC BY 4.0

Time-of-Use Tariff

Cite this

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title = "Time-of-Use Tariff with Local Wind Generation",

abstract = "Renewable energy, such as wind power, is known to significantly reduce system costs and carbon emissions. However, traditional Time of Use (ToU) tariffs fail to account for local energy generation. To overcome this limitation, we propose a mechanism for calculating new ToU tariffs that incorporates Agile ToU and local energy resources, such as a wind farm. By partially supplying local consumption, wind energy can reduce electricity costs for consumers and encourage load shifting towards peak renewable energy production periods. We demonstrate the effectiveness of the proposed mechanism by testing it on a case study of a residential area in Wales, UK, where electricity would be partially supplied by a nearby wind farm with 5 turbines through a Power Purchase Agreement (PPA). The results show that the new tariff significantly reduces electricity bills.",

author = "Abouzar Estebsari and Aaron Gillich",

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doi = "10.1109/EEEIC/ICPSEurope57605.2023.10194842",

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note = "IEEE 23rd International Conference on Environment and Electrical Engineering (EEEIC) ; Conference date: 06-06-2023 Through 09-06-2023",

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T1 - Time-of-Use Tariff with Local Wind Generation

AU - Estebsari, Abouzar

AU - Gillich, Aaron

PY - 2023/8/3

Y1 - 2023/8/3

N2 - Renewable energy, such as wind power, is known to significantly reduce system costs and carbon emissions. However, traditional Time of Use (ToU) tariffs fail to account for local energy generation. To overcome this limitation, we propose a mechanism for calculating new ToU tariffs that incorporates Agile ToU and local energy resources, such as a wind farm. By partially supplying local consumption, wind energy can reduce electricity costs for consumers and encourage load shifting towards peak renewable energy production periods. We demonstrate the effectiveness of the proposed mechanism by testing it on a case study of a residential area in Wales, UK, where electricity would be partially supplied by a nearby wind farm with 5 turbines through a Power Purchase Agreement (PPA). The results show that the new tariff significantly reduces electricity bills.

AB - Renewable energy, such as wind power, is known to significantly reduce system costs and carbon emissions. However, traditional Time of Use (ToU) tariffs fail to account for local energy generation. To overcome this limitation, we propose a mechanism for calculating new ToU tariffs that incorporates Agile ToU and local energy resources, such as a wind farm. By partially supplying local consumption, wind energy can reduce electricity costs for consumers and encourage load shifting towards peak renewable energy production periods. We demonstrate the effectiveness of the proposed mechanism by testing it on a case study of a residential area in Wales, UK, where electricity would be partially supplied by a nearby wind farm with 5 turbines through a Power Purchase Agreement (PPA). The results show that the new tariff significantly reduces electricity bills.

U2 - 10.1109/EEEIC/ICPSEurope57605.2023.10194842

DO - 10.1109/EEEIC/ICPSEurope57605.2023.10194842

M3 - Paper

T2 - IEEE 23rd International Conference on Environment and Electrical Engineering (EEEIC)

Y2 - 6 June 2023 through 9 June 2023

ER -

Time-of-Use Tariff with Local Wind Generation

Abstract

Conference

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