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Energies
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Advances in Energy Automation
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Advances in Energy Automation

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 4293

Special Issue Editors

Dr. Seppo Sierla

E-Mail Website
Guest Editor
Department of Electrical Engineering and Automation, Aalto University, 02150 Aalto, Finland
Interests: simulation; digital twin; virtual power plant; demand response; industry 4.0
Special Issues, Collections and Topics in MDPI journals
Dr. Mahdi Pourakbari-Kasmaei

E-Mail Website
Guest Editor
Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland
Interests: power and energy systems; electric vehicle; high voltage; community energy systems; electricity markets
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Matti Vilkko

E-Mail Website
Guest Editor
Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland
Interests: control engineering; process automation; system identification
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Automation technology is a key element of energy systems. Control, optimization, fault diagnostics, predictive maintenance, and safety are all key functionalities of energy systems that rely on automation technology. The transition to renewable generation and smart power grids is introducing decentralized operation concepts, intelligent distributed energy resources, and isolated grids. All of these trends involve fundamental redesign of automation systems. Alongside the trend toward electrification, district heating, geothermal energy, and P2X contribute to the emerging sustainable energy system, but new automation solutions are required to manage and coordinate these systems. In addition to the rapid penetration of renewable generation, significant investments to nuclear power are occurring in several regions of the world, so research in nuclear automation is required to ensure that design, commissioning, operation, and waste disposal activities can be executed safely and cleanly.

This Special Issue welcomes any contributions related to automation technology in the energy sector. Survey and review papers are also welcome. This special issue is organized in collaboration with the Automation Days 2023 conference: https://www.automaatioseura.fi/automationdays2023/

Dr. Seppo Sierla
Dr. Mahdi Pourakbari-Kasmaei
Prof. Dr. Matti Vilkko
Guest Editors

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

  • automation technology
  • energy automation
  • electrification
  • nuclear automation
  • nuclear safety

Published Papers (2 papers)

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Research

18 pages, 4087 KiB  
Article
Effects of Ramp Rate Limit on Sizing of Energy Storage Systems for PV, Wind and PV–Wind Power Plants
by Micke Talvi, Tomi Roinila and Kari Lappalainen
Energies 2023, 16(11), 4313; https://doi.org/10.3390/en16114313 - 24 May 2023
Cited by 2 | Viewed by 2387
Abstract
As the share of highly variable photovoltaic (PV) and wind power production increases, there is a growing need to smooth their fast power fluctuations. Some countries have set power ramp rate (RR) limits that the output powers of power plants may not exceed. [...] Read more.
As the share of highly variable photovoltaic (PV) and wind power production increases, there is a growing need to smooth their fast power fluctuations. Some countries have set power ramp rate (RR) limits that the output powers of power plants may not exceed. In this study, the effects of RR limit on the sizing of energy storage systems (ESS) for PV, wind, and PV–wind power plants are examined. These effects have been studied prior for PV power plants. However, for the wind and PV–wind power plants, the effects of the RR limit are studied comprehensively for the first time. In addition, the effects of the size of the power plant are considered. The study is based on climatic measurements carried out with a sampling frequency of 10 Hz for a period of 153 days. The modeling of the PV and wind powers and the simulation of the RR-based control algorithm of the ESS were completed using MATLAB. The results show that as the applied RR limit increased from 1%/min to 20%/min, the required relative energy capacities of the ESSs of the PV, wind, and PV–wind power plants decreased roughly 88%, 89%, and 89%, respectively. The required relative power capacities of the ESSs of the PV, wind, and PV–wind power plants decreased roughly 15%, 12%, and 20%, respectively. The utilization of the ESSs was found to decrease as the applied RR limit increased and as the size of the power plant grew. Full article
(This article belongs to the Special Issue Advances in Energy Automation)
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14 pages, 4123 KiB  
Article
Assessment of the Electric Demand Management Potential of Educational Buildings’ Mechanical Ventilation Systems
by Kalevi Härkönen, Lea Hannola, Jukka Lassila and Mika Luoranen
Energies 2023, 16(1), 85; https://doi.org/10.3390/en16010085 - 21 Dec 2022
Viewed by 1176
Abstract
Demand management is expected to reduce emissions from energy systems and support the utilization of renewable energy sources. In this paper, the focus is on the viability of educational buildings’ mechanical ventilation systems’ participation in electric demand management. The results suggest that when [...] Read more.
Demand management is expected to reduce emissions from energy systems and support the utilization of renewable energy sources. In this paper, the focus is on the viability of educational buildings’ mechanical ventilation systems’ participation in electric demand management. The results suggest that when load shedding lasts for a short duration, the ventilation machine load seems more promising than expected for electric demand management, as even 60% of its electric power could be granted to such markets. Prolonging the load-shedding duration increases the risk of the indoor carbon dioxide (CO2) concentration exceeding the limit for good indoor air quality. This paper contributes to the academic community by providing information for the assessment of the demand management potential of buildings and eventually their significance in decarbonizing the electric energy system and filling research gaps concerning the impact of implementing demand management that involves a reduction in ventilation rate. Full article
(This article belongs to the Special Issue Advances in Energy Automation)
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