Renewable Strategies for Emission Reduction: A Multisectoral Approach

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Pollution Control".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 3096

Special Issue Editors

1. Petroleum Engineering Department, College of Engineering, University of Kirkuk, Kirkuk 52001, Iraq
2. Mechanical and Electrical Engineering College, Hainan University, Haikou 570228, China
Interests: combustion; engine emissions; alternative fuel; particulate emissions; sustainable energy
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Guest Editor
Mechanical and Electrical Engineering College, Hainan University, Haikou 570228, China
Interests: combustion; engine emissions; alternative fuel; particulate emissions; sustainable energy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Electronic Information Engineering, Huaiyin Institute of Technology (HYIT), Huaian 223003, China
Interests: control; modeling; optimization; sustainable energy

Special Issue Information

Dear Colleagues,

Climate change, driven primarily by the excessive release of greenhouse gases into the atmosphere, has emerged as one of the most critical global issues of our time. The adverse consequences of rising emissions, such as extreme weather events, rising sea levels, and disruptions to ecosystems, are already being felt worldwide. As stakeholders from diverse sectors recognize the urgency of taking meaningful action, it becomes evident that a comprehensive and interconnected approach is crucial in the fight against climate change.

This Special Issue seeks to investigate the potential of renewable energy sources to mitigate emissions across a broad spectrum of industries, acknowledging that each sector plays a vital role in contributing to a sustainable future. By emphasizing the integration of renewable energy technologies and solutions, we aim to facilitate the transition towards a low-carbon and resilient society.

Objectives:

  • Identify Key Emission Sources: conduct an in-depth analysis of emission sources in various industries to determine the sectors with the highest carbon footprint and the potential for substantial emission reduction.
  • Assess Renewable Energy Potentials: evaluate the feasibility of integrating renewable energy sources, such as solar, wind, hydro, geothermal, and bioenergy, into different sectors to provide cleaner and sustainable alternatives.
  • Develop Cross-Sectoral Strategies: foster collaboration among industries, governments, research institutions, and communities to develop comprehensive strategies for emission reduction, maximizing the benefits of renewable energy integration.
  • Promote Awareness and Knowledge Exchange: organize workshops, seminars, and information-sharing platforms to raise awareness about the benefits of renewable energy adoption and create a knowledge-sharing network among stakeholders.
  • Formulate Policy Recommendations: propose policy frameworks and incentives to encourage the widespread adoption of renewable energy technologies and practices, aiming to accelerate emission reduction efforts across sectors.

Expected Outcomes:

  • Significant Reduction in Emissions: by tapping into renewable energy sources, we anticipate a substantial decrease in greenhouse gas emissions from multiple sectors, contributing to our global climate targets.
  • Enhanced Resilience: integrating renewable energy solutions can improve the resilience of industries to climate-related risks and resource volatility, ensuring long-term sustainability.
  • Economic Advantages: the proposal seeks to highlight the economic benefits of renewable energy adoption, such as job creation, energy cost savings, and enhanced energy security.
  • Collaborative Partnerships: the cross-sector approach encourages collaboration among stakeholders, promoting a holistic and unified response to climate change challenges.

Dr. Omar I. Awad
Prof. Dr. Zhenbin Chen
Prof. Dr. Ahmed N. Abdalla
Guest Editors

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Keywords

  • climate change
  • renewable energy
  • emission Sources
  • low-carbon
  • emission reduction
  • greenhouse gases

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Published Papers (3 papers)

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Research

26 pages, 5840 KiB  
Article
Optimization of Carbon Emission Reduction Investment for Replacement Fuel Ships Based on the Shipowners’ Perspective
by Jin Zhang, Zhonghao Zhang and Ding Liu
Atmosphere 2025, 16(2), 141; https://doi.org/10.3390/atmos16020141 - 28 Jan 2025
Viewed by 1127
Abstract
Despite the growing body of research on fuel alternatives for reducing carbon emissions in maritime shipping, there remains a lack of comprehensive cost–benefit analyses from the perspective of shipowners considering both retrofit and new construction options across multiple shipping routes. This paper carries [...] Read more.
Despite the growing body of research on fuel alternatives for reducing carbon emissions in maritime shipping, there remains a lack of comprehensive cost–benefit analyses from the perspective of shipowners considering both retrofit and new construction options across multiple shipping routes. This paper carries out the optimization of carbon emission reduction investment schemes for replacement fuel ships from the perspective of the shipowners, with low-carbon fuel ships (LNG-fueled and methanol-fueled) and zero-carbon fuel ships (ammonia-fueled and hydrogen-fueled) as feasible options for shipowners to choose. Shipowners are advised to consider fuel retrofit options carefully, with methanol as a promising low-carbon fuel on certain routes and LNG for achieving both cost-effectiveness and compliance with upcoming zero-carbon regulations. The considered influencing factors include sailing distances, fuel prices, and container freight rates. A cost–benefit analysis model is proposed to conduct quantitative comparative analyses. The feasibility of various fuel options reflects both economic conditions and regulatory environments influencing operational costs and potential future carbon pricing. Under baseline conditions, our analysis reveals: For route 1, the NPV of retrofitting ships to use methanol yields the highest return among low-carbon options; for route 2, all replacement fuel options result in negative NPVs, indicating no investment value; and for route 3, retrofit options for LNG and new constructions for methanol are feasible, with LNG offering the shortest payback period. Full article
(This article belongs to the Special Issue Renewable Strategies for Emission Reduction: A Multisectoral Approach)
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18 pages, 7881 KiB  
Article
Effect of Multiple Injection Strategy Under High Ammonia Ratio on Combustion and Emissions of Liquid Ammonia/Diesel Dual DI Engine
by Zhenbin Chen, Yudong Wan, Omar I. Awad and Zhiqiang Pan
Atmosphere 2025, 16(1), 94; https://doi.org/10.3390/atmos16010094 - 16 Jan 2025
Viewed by 759
Abstract
With the increasingly prominent environmental and energy issues, emission regulations are becoming more stringent. Ammonia diesel dual fuel (ADDF) engine is one of the effective ways to reduce carbon emissions. This study investigated the effect of multiple injection strategy on the combustion and [...] Read more.
With the increasingly prominent environmental and energy issues, emission regulations are becoming more stringent. Ammonia diesel dual fuel (ADDF) engine is one of the effective ways to reduce carbon emissions. This study investigated the effect of multiple injection strategy on the combustion and emission characteristics of liquid ammonia/diesel dual direct injection (DI) engines through numerical simulation. The results showed that under the condition of maintaining the same pre injection diesel fuel and high ammonia energy ratio (80%), with the introduction of multiple injection, the peak cylinder pressure decreased and the peak phase advanced, the combustion start angle (CA10) advanced, the heat release showed a multi-stage pattern. The times of injection (TSOI) has a significant effect on combustion and emissions. As TSOI increased, ignition delay decreased, the combustion duration is shortened, and the combustion is accelerated. Notably, overall emissions of NOx and N2O have decreased, but the emissions of unburned NH3 have increased. Optimized the state of ammonia injection (SOAI) timing and ammonia injection pressure (AIP), showed that advancing SOAI timing and increasing AIP improved combustion. Advanced the SOAI timing to −8 °CA ATDC, resulted in a significant NOx emissions decrease with an increase in TSOI, reaching over 50%. Although increasing injection pressure can improve combustion, it also results in higher N2O emissions. Full article
(This article belongs to the Special Issue Renewable Strategies for Emission Reduction: A Multisectoral Approach)
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24 pages, 2885 KiB  
Article
Optimizing Renewable Strategies for Emission Reduction Through Robotic Process Automation in Smart Grid Management
by Jiuyu Guo, Bin Chen, Zeke Li, Bijing Liu, Wei Wu and Junjie Yang
Atmosphere 2024, 15(12), 1429; https://doi.org/10.3390/atmos15121429 - 27 Nov 2024
Cited by 1 | Viewed by 845
Abstract
The integration of renewable energy into Intelligent Distribution Networks (IDNs) is challenged by the inherent variability and fluctuations in energy supply, particularly with photovoltaic (PV) generation as the primary form of distributed generation (DG). However, managing the fluctuations and variability in renewable energy [...] Read more.
The integration of renewable energy into Intelligent Distribution Networks (IDNs) is challenged by the inherent variability and fluctuations in energy supply, particularly with photovoltaic (PV) generation as the primary form of distributed generation (DG). However, managing the fluctuations and variability in renewable energy supply presents significant challenges. To address these complexities, it is vital to optimally coordinate flexible resources from source–network–storage–load (SNSL) in a manner that aligns with cross-sectoral emission reduction strategies while enhancing grid stability and efficiency. This paper addresses these challenges by proposing a strategy that optimizes the coordination of PV-based DG, storage, and load resources through Robotic Process Automation (RPA) to enhance grid stability and support emissions reduction. We use a two-layer dispatching framework: the lower-layer model, formulated as a quadratic programming problem, maximizes PV utilization for individual users, while the upper-layer model, based on a second-order cone relaxation approach, manages the overall IDN to minimize operational costs. The iterative solution leverages tie-line power flow as boundary information to ensure convergence across the network. Validated on an enhanced IEEE 33-bus system, the approach demonstrates a 62% increase in PV-based DG consumption and a 25% reduction in active power losses, highlighting its potential to improve grid efficiency and contribute to emission reduction goals. Full article
(This article belongs to the Special Issue Renewable Strategies for Emission Reduction: A Multisectoral Approach)
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