Design and Optimization of Energy System Based on Demand Response

A special issue of Designs (ISSN 2411-9660). This special issue belongs to the section "Energy System Design".

Deadline for manuscript submissions: closed (1 October 2023) | Viewed by 3040

Special Issue Editors


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Guest Editor
1. Department of Energy “Galileo Ferraris”, Politecnico di Torino, Turin, Italy
2. Energy Center Lab, Politecnico di Torino, 10138 Turin, Italy
Interests: intermittent renewable energy sources; energy storage systems; energy system design; user demand; energy communities; energy policies
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Department of Energy “Galileo Ferraris”, Politecnico di Torino, 10129 Turin, Italy
2. Energy Center Lab, Politecnico di Torino, 10138 Turin, Italy
Interests: bio-energy with carbon capture and storage; biohydrogen; concentrated solar power; renewable energy; energy storage; thermal energy storage; PCM; biogenous fuels
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Department of Energy “Galileo Ferraris”, Politecnico di Torino, Turin, Italy
2. Energy Center Lab, Politecnico di Torino, 10138 Turin, Italy
Interests: cyber-physical-social energy system; energy systems integration; co-simulation; renewable energy sources; distributed multi-energy sources; energy communties and policies

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Guest Editor
1. Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Turin, Italy
2. Energy Center Lab, Politecnico di Torino, 10138 Turin, Italy
Interests: co-simulation techniques; multi-energy system; smart grid; IoT infrastructure; cloud computing; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transition toward a net-zero energy system requires massive exploitation of renewable energy sources (RES). In addition, the energy market is opening up to the participation of citizens, in a single or aggregated form, to provide ancillary services. The intermittent nature of RES and the volatility of energy demand threaten the safety and reliability of the energy grid. In this context, the need to design energy systems where all kinds of flexible resources are optimized.

Flexibility resources, such as demand response, are enabled through various approaches (e.g., financial incentives, dynamic tariffs, time-of-use tariffs) to encourage customer participation in the control and operational management of energy systems. New strategies are needed to harness energy flexibility resources that will impact current energy system structures, developing them to reach the objective of a resilient and secure energy grid.

The contributions to this Special Issue will focus on the optimal design, operation, and management of energy systems based on DR programs. Although the development of new and advanced demand response programs and approaches is necessary to better take advantage of consumer flexibility, more work needs to be done on the effective design and management of energy systems. On the one hand, the integration of energy systems with their infrastructures and the increasing penetration of renewables, as well as energy sectors coupling, provide opportunities to realize the full potential of DR programs to improve system reliability and ancillary service delivery. On the other hand, the digitalization of energy systems and the use of information and communication technologies open new opportunities for the development of new energy systems designs and effective energy management systems. Contributions reporting real-world case studies are also welcome. All submitted manuscripts will be peer-reviewed in accordance with the quality standards of Designs. This Special Issue encourages the submission of original research and literature reviews manuscript. In the case of submission of an original research manuscript, the results must be new, replicable, and supported by a formal methodology, such as comprehensive mathematical models, algorithmic procedures, and numerical experiments. Results data presented as an illustration or figures should be provided (in the paper or as supplementary material) to ensure the replicability of the results.

Manuscript submissions in the areas mentioned as keywords below are highly encouraged.

Dr. Francesco Demetrio Minuto
Dr. Davide Papurello
Dr. Daniele Salvatore Schiera
Dr. Luca Barbierato
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. Designs 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 1600 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

  • demand response
  • demand side management
  • new technologies
  • new algorithms
  • new architectures
  • energy system optimization
  • energy system design
  • decentralized energy systems
  • renewable energy sources
  • storage systems
  • load shift
  • model predictive control
  • centralized and decentralize optimization control
  • price signals
  • technology penetration
  • energy policy
  • ledger technologies
  • energy quality
  • security
  • reliability
  • distribution network and transmission costs
  • flexibility service
  • ancillary services

Published Papers (2 papers)

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Research

15 pages, 915 KiB  
Article
Design of a Takagi–Sugeno Fuzzy Exact Modeling of a Buck–Boost Converter
by Joelton Deonei Gotz, Mario Henrique Bigai, Gabriel Harteman, Marcella Scoczynski Ribeiro Martins, Attilio Converti, Hugo Valadares Siqueira, Milton Borsato and Fernanda Cristina Corrêa
Designs 2023, 7(3), 63; https://doi.org/10.3390/designs7030063 - 09 May 2023
Viewed by 1216
Abstract
DC–DC converters are used in many power electronics applications, such as switching power supply design, photovoltaic, power management systems, and electric and hybrid vehicles. Traditionally, DC–DC converters are linearly modeled using a typical operating point for their control design. Some recent works use [...] Read more.
DC–DC converters are used in many power electronics applications, such as switching power supply design, photovoltaic, power management systems, and electric and hybrid vehicles. Traditionally, DC–DC converters are linearly modeled using a typical operating point for their control design. Some recent works use nonlinear models for DC–DC converters, due to the inherent nonlinearity of the switching process. In this sense, a standout modeling technique is the Takagi–Sugeno fuzzy exact method due to its ability to represent nonlinear systems over the entire operating range. It is more faithful to system behavior modeling, and allows a nonlinear closed-loop control design. The use of nonlinear models allows the testing of controllers obtained by linear methods to operate outside their linearization point, corroborating with robust controllers for specific applications. This work aims to perform the exact fuzzy Takagi–Sugeno modeling of a buck–boost converter with non-ideal components, and to design a discrete proportional–integral–derivative (PID) controller from the pole cancellation technique, obtained linearly, to test the controller at different operating points. The PID control ensured a satisfactory result compared with the stationary value of the different operating points, but it did not reach the desired transient response. Since the proposed model closely represents the operation of the buck–boost converter by considering the components’ non-idealities, other control techniques that consider the system’s nonlinearities can be applied and optimized later. Full article
(This article belongs to the Special Issue Design and Optimization of Energy System Based on Demand Response)
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16 pages, 3455 KiB  
Article
Implementing Optimal Operation of Multi-Energy Districts with Thermal Demand Response
by Martina Capone and Elisa Guelpa
Designs 2023, 7(1), 11; https://doi.org/10.3390/designs7010011 - 10 Jan 2023
Cited by 4 | Viewed by 1349
Abstract
The combination of different energy vectors in the context of multi-energy systems is a crucial opportunity to reach CO2 reduction goals. In the case of urban areas, multi-energy districts can be connected with district heating networks to efficiently supply heat to the [...] Read more.
The combination of different energy vectors in the context of multi-energy systems is a crucial opportunity to reach CO2 reduction goals. In the case of urban areas, multi-energy districts can be connected with district heating networks to efficiently supply heat to the buildings. In this framework, the inclusion of the thermal demand response allows for significantly improve the performance of multi-energy districts by smartly modifying the heat loads. Operation optimization of such systems provides excellent results but requires significant computational efforts. In this work, a novel approach is proposed for the fast optimization of multi-energy district operations, enabling real-time demand response strategies. A 3-step optimization method based on mixed integer linear programming is proposed aimed at minimizing the cost operation of multi-energy districts. The approach is applied to a test case characterized by strongly unsteady heat/electricity and cooling demands. Results show that (a) the total operation cost of a multi-energy district can be reduced by order of 3% with respect to optimized operation without demand side management; (b) with respect to a full optimization approach, the computational cost decreases from 45 min to 1 s, while the accuracy reduces from 3.6% to 3.0%. Full article
(This article belongs to the Special Issue Design and Optimization of Energy System Based on Demand Response)
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