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Renewable Energy Utilization for Energy Saving and Carbon-Emission Reduction

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: 24 October 2025 | Viewed by 848

Special Issue Editor


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Guest Editor
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China
Interests: renewable energy systems; power electronics; energy conversion

Special Issue Information

Dear Colleagues,

With the increasing demand of the global environment change and regional sustainable development, how to utilize the renewable energy for the energy saving and carbon-emission reduction in such aspects as industry, building and traffic, has become an urgent and challenging issue to be addressed. For example, it is reported that that the combined buildings and construction sectors are responsible for 40% of global energy use and 37% of global CO2 emissions. As a result, new types of energy systems related to wind power, solar power, biomass and geothermal energy arise, which can generate, store, distribute and flexibly use renewable energy sources, and differ from the traditional energy system merely interacted with the power grid. Meanwhile, these new energy power systems also face some practical problems as the multi-level voltage regulation, AC/DC conversion, power transmission limitation and power quality.

This Special Issue aims to invite theoretical and application-driven researchers to present and disseminate the most recent advances related to energy saving and carbon-emission reduction by using renewable energy.

Topics of interest for publication include, but are not limited to:

  • Advances in renewable energy technology;
  • Design, modelling and simulation of renewable energy systems;
  • Optimization and control of renewable energy systems;
  • Energy storage and integration;
  • Calculation and evaluation of carbon emission;
  • Grid-connected photovoltaic power systems;
  • Energy Internet and electricity market;
  • Microgrid, smart grid and smart energy;
  • Topology and robust control of modular multilevel AC/DC converters and inverters;
  • Networked and multi-network cooperative control.

Dr. Yanmin Wang
Guest Editor

Manuscript Submission Information

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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

  • renewable energy
  • energy saving
  • carbon-emission reduction
  • design and modelling
  • optimization control
  • cooperative control
  • energy storage
  • energy internet
  • electricity market

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Published Papers (1 paper)

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Research

23 pages, 6078 KiB  
Article
Multi-Energy Optimal Dispatching of Port Microgrids Taking into Account the Uncertainty of Photovoltaic Power
by Xiaoyong Wang, Xing Wei, Hanqing Zhang, Bailiang Liu and Yanmin Wang
Energies 2025, 18(12), 3216; https://doi.org/10.3390/en18123216 - 19 Jun 2025
Viewed by 388
Abstract
To tackle the problems of high scheduling costs and low photovoltaic (PV) accommodation rates in port microgrids, which are caused by the coupling of uncertainties in new energy output and load randomness, this paper proposes an optimized scheduling method that integrates scenario analysis [...] Read more.
To tackle the problems of high scheduling costs and low photovoltaic (PV) accommodation rates in port microgrids, which are caused by the coupling of uncertainties in new energy output and load randomness, this paper proposes an optimized scheduling method that integrates scenario analysis with multi-energy complementarity. Firstly, based on the improved Iterative Self-organizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm and backward reduction method, a set of typical scenarios that represent the uncertainties of PV and load is generated. Secondly, a multi-energy complementary system model is constructed, which includes thermal power, PV, energy storage, electric vehicle (EV) clusters, and demand response. Then, a planning model centered on economy is established. Through multi-energy coordinated optimization, supply–demand balance and cost control are achieved. The simulation results based on the port microgrid of the LEKKI Port in Nigeria show that the proposed method can significantly reduce system operating costs by 18% and improve the PV accommodation rate through energy storage time-shifting, flexible EV scheduling, and demand response incentives. The research findings provide theoretical and technical support for the low-carbon transformation of energy systems in high-volatility load scenarios, such as ports. Full article
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