Advances in Renewable Energy Technologies and Systems for Smart Cities

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 998

Special Issue Editors


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Guest Editor
School of Electrical and Computer Engineering, The University of Sydney, Darlington, NSW 2008, Australia
Interests: renewable energy; virtual power plant; battery energy storage; electricity market

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Guest Editor
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Interests: power system planning; electricity markets; smart grid data-analytics

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Guest Editor
Department of Electrical and Electronic Engineering and the Research Institute of Smart Energy, The Hong Kong Polytechnic University, Hong Kong SAR, China
Interests: renewable energy; energy management; power system voltage control; machine learning

Special Issue Information

Dear Colleagues,

The global transition towards renewable energy is critical for mitigating climate change and achieving sustainable development, particularly within the context of smart cities. As the penetration of renewable energy sources, such as solar, wind, hydro, and energy storage systems, increases, the need for the efficient integration, management, and optimization of these systems within urban environments becomes significant. In smart cities, this not only involves the integration of renewable energy systems but also their coordination with other infrastructures, such as transportation systems and smart buildings. Modelling and optimizing renewable energy systems can enhance grid stability, improve resource utilization, facilitate the integration of diverse energy sources, and yield significant economic and environmental benefits, making cities smarter.

The aim of this Special Issue is to bring together cutting-edge research and developments in the modelling, management, and optimization of renewable 

energy systems in smart cities. By providing a platform for researchers to share their findings, this Special Issue seeks to enhance the understanding and implementation of renewable energy systems. This Special Issue addresses crucial topics including innovative technologies and the in-depth research of renewable energy systems integrated into the grid and other urban infrastructures, all of which are vital for the sustainable development of smart cities.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Control and management of renewable energy systems;
  • Modelling and optimization of renewable energy systems;
  • Renewable energy systems and technologies for smart cities;
  • Coordination of renewable energy systems with transportation systems;
  • Coordination of renewable energy systems with urban infrastructure;
  • Smart buildings and their interaction with renewable energy systems;
  • Battery energy storage applications in smart cities;
  • Renewable energy systems in modern electricity markets;
  • Economic analysis of renewable energy systems;
  • Prediction technologies for renewable energy;
  • Electronics in renewable energy systems.

We look forward to receiving your contributions.

Dr. Xin Lu
Dr. Yuechuan Tao
Dr. Xianzhuo Sun
Guest Editors

Manuscript Submission Information

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Keywords

  • renewable energy systems
  • energy management
  • energy modelling and optimization
  • battery energy storage systems
  • smart cities
  • transportation systems
  • smart buildings

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Published Papers (1 paper)

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Research

23 pages, 4907 KiB  
Article
A Cybernetic Delay Analysis of the Energy–Economy–Emission Nexus in India via a Bistage Operational Amplifier Network
by Soumya Basu and Keiichi Ishihara
Electronics 2024, 13(22), 4434; https://doi.org/10.3390/electronics13224434 - 12 Nov 2024
Viewed by 688
Abstract
In analyzing the decoupling of emissions from economic growth, current literature foregoes the nonlinear complexities of macroeconomic systems, leading to ineffective energy transition policies, specifically for developing countries. This study focuses on the Indian energy–economy–emission nexus to establish a control system that internalizes [...] Read more.
In analyzing the decoupling of emissions from economic growth, current literature foregoes the nonlinear complexities of macroeconomic systems, leading to ineffective energy transition policies, specifically for developing countries. This study focuses on the Indian energy–economy–emission nexus to establish a control system that internalizes inflation, trade openness, and fossil fuel imports with economic growth and macro-emissions to visualize the complex pathways of decoupling. Through long-term cointegration and vector error correction modeling, it was found that GDP and energy affect capital, inflation and energy imports, which are locked in a long-run negative feedback loop that ultimately increases emissions. Capital growth enables decoupling at 0.7% CO2 emissions reduction for every 1% capital growth, while 1% inflation growth inhibits decoupling by increasing CO2 emissions by 0.8%. A cybernetic fractional circuit of R-C elements and operational amplifiers was utilized to examine the delay of pulses from GDP to the loop elements, which revealed that capital is periodic with GDP pulses. However, inflation, being aperiodic with the clock pulses of GDP, causes the pulse-width of capital to decrease and fossil fuel imports to increase. Through the circuital model, it was possible to determine the exact policy intervention schedule in business cycle growth and recession phases that could build clean energy capital and limit inflation-induced recoupling. Full article
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