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Innovation and Low Carbon Sustainability in the Digital Age

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: 16 October 2025 | Viewed by 725

Special Issue Editors


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Guest Editor
School of Business, Shandong University, Weihai, China
Interests: resources and environment economy; technology innovation and industry economy; green and low-carbon development
School of Business, Liaocheng University, Liaocheng 252059, China
Interests: digital economy; technology innovation and industry economy; green and low-carbon development

Special Issue Information

Dear Colleagues,

Climate change represents one of the most significant global challenges, driving nations worldwide to pursue effective strategies for low-carbon development. Concurrently, the rise of the digital economy, fueled by technologies such as big data and artificial intelligence, is transforming economic structures. As a critical force for innovation, digitalization is reshaping the way businesses operate, reducing transaction costs, and enhancing innovation capacity. This, in turn, supports low-carbon sustainable development and aligns with global goals for climate resilience.

This Special Issue aims to explore the intersection of digitalization, innovation management, and low-carbon sustainability. By focusing on the ways digital technology can promote low-carbon development, this Special Issue seeks to deepen understanding of how digital transformation can drive sustainable economic growth. This subject aligns with the journal's broader focus on the role of innovation in achieving sustainable development and addressing climate challenges.

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

  1. Carbon emission management through digital technologies;
  2. The socio-economic drivers of low-carbon sustainable development;
  3. The role of innovation in low-carbon transitions;
  4. The digital economy and sustainable business innovation;
  5. Post-COVID-19 innovation and green economic recovery;
  6. The impact of climate technologies on economic development;
  7. Digitalization and sustainable urban development policies;
  8. Industrial transformation in the digital economy era.

Dr. Yanwei Lyu
Dr. Yu Hao
Dr. Yang Liu
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. Sustainability 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 2400 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

  • climate change
  • low-carbon development
  • digital economy
  • innovation management
  • sustainable development
  • green economy
  • digitalization
  • carbon emissions
  • innovation policy
  • climate technologies

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Published Papers (1 paper)

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Research

21 pages, 9636 KiB  
Article
Low-Carbon Control of Integrated Energy by Combining Cuckoo Search Algorithm and Particle Swarm Optimization Algorithm
by Dandan Wang, Jian Guan, Hongyan Liu, Hanwen Zhang, Qi Wang, Lijian Zhang and Jingzheng Dong
Sustainability 2025, 17(7), 3206; https://doi.org/10.3390/su17073206 - 3 Apr 2025
Viewed by 313
Abstract
With the increasing severity of global climate change, low-carbon development has become a key issue in the energy industry. As an effective way to optimize energy utilization and reduce carbon emissions, integrated energy system is receiving increasing attention. However, existing low-carbon control methods [...] Read more.
With the increasing severity of global climate change, low-carbon development has become a key issue in the energy industry. As an effective way to optimize energy utilization and reduce carbon emissions, integrated energy system is receiving increasing attention. However, existing low-carbon control methods still face many challenges in improving system efficiency and reducing carbon emissions, and the ability of multi-energy cooperative scheduling and optimal control is insufficient. Therefore, a hybrid algorithm combining the particle swarm optimization and cuckoo search algorithms is designed to adjust the integrated energy low-carbon control capability. The proposed algorithm required fewer iterations than the genetic cuckoo algorithm, which only went through 43 iterations. The convergence speed was improved by 34.8% compared with a single cuckoo algorithm. Among the four scenarios, scenario 4 and scenario 3 had the highest utilization rates of 99.75%, while scenario 1 had the lowest utilization rate of 61.96%. This indicates that the integrated energy system controlled by the particle swarm optimization cuckoo algorithm, while considering carbon capture and storage as well as power-to-gas conversion, can effectively utilize solar energy resources for power generation and achieve energy-saving and emission reduction effects. In summary, this method can help the integrated energy system adapt to various optimization strategies, which promotes the development of low-carbon control technologies in the energy industry. Full article
(This article belongs to the Special Issue Innovation and Low Carbon Sustainability in the Digital Age)
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