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Correlation as a method to assess electricity users' contributions to grid peak loads: A case study
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.ORCID iD: 0000-0003-4090-8622
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.ORCID iD: 0000-0002-1787-5669
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.ORCID iD: 0000-0001-5431-6260
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.ORCID iD: 0000-0001-7720-9062
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2024 (English)In: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 288, article id 129805Article in journal (Refereed) Published
Abstract [en]

Flexibility has increasingly gained attention within the field of electrification and energy transition where a common objective is to reduce the electricity consumption peaks. However, flexibility can increase the risk of grid congestion depending on where and when and it is used, thus an overall system perspective needs to be considered to ensure an effective energy transition. This paper presents a framework to assess electricity users' contributions to grid load peaks by splitting electricity consumption data into subsets based on time and temperature. The data in each subset is separately correlated with the grid load using three correlation measures to assess how the user's consumption changes at the same time as typical grid peak loads occur. The framework is implemented on four different types of business activities at Uppsala municipality in Sweden, which is a large public entity, to explore their behaviors and assess their grid peak load contributions. The results of this study conclude that all four activities generally contribute to the grid peak loads, but that differences exist. These differences are not visible without splitting the data, and not doing so can lead to unrepresentative conclusions. The presented framework can identify activities that contribute the most to unfavorable grid peaks, providing a tool for decision-makers to enable an accelerated energy transition.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 288, article id 129805
Keywords [en]
Electricity consumption, Flexibility, Power grid peaks, Smart grids, Time series correlation analysis
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Systems
Identifiers
URN: urn:nbn:se:uu:diva-521176DOI: 10.1016/j.energy.2023.129805ISI: 001137879700001OAI: oai:DiVA.org:uu-521176DiVA, id: diva2:1831129
Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-09-12Bibliographically approved
In thesis
1. Modeling and analysis of offshore hybrid power parks
Open this publication in new window or tab >>Modeling and analysis of offshore hybrid power parks
2024 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In the past decade, the global share of fossil-based electricity generation has decreased from 67% to 61% in favor of renewable alternatives. To achieve global goals, a continued extensive expansion of electricity generation from renewable energy sources is necessary. Offshore wind power is expected to constitute a significant portion of this additional generation capability. However, intermittent energy generation like wind or solar power has negative impacts on the electricity grid due to its inherently variable and non-dispatchable nature. Furthermore, energy generation from renewable energy sources is characterized by low utilization and requirement of large geographical areas.

One way to mitigate several of these negative aspects is by co-locating energy sources with complementary characteristics. Combining different types of complementary renewable energy sources can reduce overall variability, increase transmission system utilization, and decrease land use. This thesis addresses several aspects of grid integration of offshore co-located energy sources, primarily, offshore wind power, floating solar power, and wave power. One question analyzed in several of the included studies is the optimal combination of energy sources for co-location to achieve the lowest variability.

Another aspect investigated is the capacity credit for a hybrid park consisting of co-located energy generation compared to the capacity credit for a wind farm. In a case study for the Netherlands, the capacity credit for combined wave and wind power is higher than for wind power alone. Additionally, the complementarity of renewable energy sources is analyzed and explained.

Place, publisher, year, edition, pages
Uppsala: Uppsala University, 2024. p. 48
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Science of Electricity
Identifiers
urn:nbn:se:uu:diva-525973 (URN)
Presentation
2024-05-14, Sonja Lyttkens, 101121, Ångströmslaboratoriet, Lägerhyddsvägen 1, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2024-04-17 Created: 2024-04-02 Last updated: 2024-04-17Bibliographically approved
2. From Parking to Power: Integrating an Energy Management System in a Multifunctional Building to Enable E-mobility
Open this publication in new window or tab >>From Parking to Power: Integrating an Energy Management System in a Multifunctional Building to Enable E-mobility
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

E-mobility is pivotal in enabling sustainable and technologically advanced urban environments. In line with this, Sweden's electric vehicle fleet is rapidly expanding, thereby increasing the power necessary for charging electric vehicles. If not properly managed and controlled, this increase in power can potentially threaten grid stability and exacerbate grid congestion. 

The primary aim of this thesis was to assess and investigate the potential of a next-generation parking facility at a multifunctional building to be an active part of the city’s distribution grid. The research was guided by the question of to what capacity smart control of a parking facility with a technical system could assist and alter the load demand to generate benefits for both the building and the city’s distribution grid.

This was investigated at Dansmästaren, the first multifunctional building in Uppsala, Sweden. An experimental setup with an electric vehicle charging station and an energy management system was developed at the Ångström laboratory to test and verify control strategies before their implementation at the multifunctional building's parking facility. Thereafter, a second energy management system was developed and implemented at Dansmästaren with the purpose of monitoring and controlling the electric vehicle charging at the parking facility.

The findings of the included papers were divided into two categories. The charging of the electric vehicles can either be assisted by the parking facility's technical system or altered by including the electric vehicle charging in the control for the technical system. Both categories show that a parking facility with a technical system in a multifunctional building can help reduce local grid demand while also providing local benefits for the building.

While the contribution of a single multifunctional building may appear negligible from a grid perspective, the cumulative effect becomes substantial when applied across multiple buildings. Thus, the parking facility at Dansmästaren has the potential to play an active role in the city’s distribution grid through smart charging and the utilization of an energy management system.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2024. p. 82
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2449
Keywords
Peak shaving, Negative correlation, Mobility house, Genetic algorithm, Dansmästaren, Multifunctional building, E-mobility
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Science of Electricity
Identifiers
urn:nbn:se:uu:diva-538089 (URN)978-91-513-2229-2 (ISBN)
Public defence
2024-11-01, 101121, Sonja Lyttkens, Ångström, Lägerhyddsvägen 1, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2024-10-08 Created: 2024-09-12 Last updated: 2024-10-08

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Flygare, CarlWallberg, AlexanderJonasson, ErikCastellucci, ValeriaWaters, Rafael

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