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Sustainability Management Strategies and Practices for Zero-Carbon Datacenters

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".

Deadline for manuscript submissions: closed (12 March 2024) | Viewed by 2854

Special Issue Editors


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Guest Editor
Department of Computer Technology and Applications, Qinghai University, Xining 810016, China
Interests: sustainable datacenter; green computing; zero-carbon datacenter; renewable energy utilization

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Guest Editor
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China
Interests: integrated energy system; new energy dispatching and control; energy management system

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Guest Editor
Department of Electrical Engineering, Tsinghua University, Beijing, China
Interests: new-type power system; electricity-carbon market; evolutionary mechanism; energy policy
New Energy Photovoltaic Industry Research Center, Qinghai University, Xining 810016, China
Interests: AI applications in energy systems; multi-energy systems
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Special Issue Information

Dear Colleagues,

As the demand for data continues to increase, the datacenter industry is expanding at a staggering rate. According to statistics, the total scale and growth rate of the digital economy ranked among the highest in the world. As the bearer of the digital economy, datacenters are also increasing day by day, and the construction volume and scale are constantly expanding. As datacenters require large amounts of power to keep servers, storage devices, backups, cooling systems, and other infrastructure running, energy consumption and carbon emissions are growing rapidly. It is more important than ever that organizations address sustainability and reduce their carbon footprints. Datacenters are energy intensive, requiring a great deal of energy and resources. Various estimates have suggested that datacenters account for 2% of the world’s energy consumption—roughly equivalent to the aviation industry. While big strides have been made, designing, developing, and operating sustainable datacenters remains one of the biggest challenges facing developers, researchers, co-location operators, global cloud computing providers, and hyperscalers alike. Many organizations seek to cut back the energy consumption with the goal of eventually reaching net-zero carbon emissions. Datacenters are facing severe challenges in energy conservation and greenhouse gas emissions, and how to achieve green, low-carbon, and high-quality development deserves special attention. Hence, it is important and necessary to understand how to improve the datacenter sustainability with the right design and practices.

The goal of this Special Issue is to look at and share recent advances in theory, design, modeling, application, control, practices, reviews, and case studies related to the advancement of sustainability management in zero-carbon datacenters, as well as exploration and analysis of the relationship among electricity, energy, and IT equipment for sustainable solutions. Specifically, the aim of relevant research is to realize the all-round closed-loop of carbon management processes, such as carbon inventory, carbon verification, carbon trading, carbon transformation, and carbon evaluation in datacenters, to investigate the trading mechanism datacenters participating in the electricity-carbon market to achieve zero carbon targets, and to build a multi-faceted and multi-level intelligent governance system for zero-carbon datacenters.

In this Special Issue, original research articles and reviews presenting recent developments, challenges, and opportunities related to the sustainability management strategies and practices in zero-carbon datacenters in both classical and emerging fields are welcome. Research areas may include (but are not limited to) the following:

  • Datacenter energy management strategies,
  • Datacenter interaction with the smart grid system,
  • Renewable energy utilization in datacenters,
  • Energy and carbon balance in zero-carbon datacenters,
  • Cooling/thermal management in datacenters,
  • Energy storage devices configuration and management,
  • Configuration and capacity planning of datacenters,
  • Load prediction for both energy supply and consumption,
  • Demand response participation strategies for datacenters,
  • Sustainability management practices of decarbonizing,
  • Datacenter carbon footprint accounting standards and evaluation model,
  • Datacenter carbon emission reduction potential evaluation method,
  • Overall plan, model, and form of low-carbon development of datacenters,
  • Low carbon benefit simulation and evaluation system for datacenters,
  • “Carbon neutral” datacenters energy operation and control,
  • Low-carbon operation mode and market trading mechanism of datacenters,
  • Energy conservation and carbon reduction project practices in datacenters,
  • Carbon emissions trading in datacenters.

We look forward to receiving your contributions.

Dr. Xiaoying Wang
Prof. Dr. Yanbo Chen
Dr. Yujuan Fang
Dr. Hengrui Ma
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

  • green computing
  • zero carbon
  • energy-efficient computing
  • renewable utilization
  • zero-carbon datacenter
  • Artificial Intelligence
  • low carbon
  • electricity-carbon market
  • carbon emission reduction

Published Papers (3 papers)

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Research

16 pages, 2887 KiB  
Article
A Transaction Model and Profit Allocation Method of Multiple Energy Storage Oriented to Versatile Regulation Demand
by Jin Zhi, Yuantian Xue, Xiaozhu Li, Changcheng Song, Kaipeng Zhang and Laijun Chen
Sustainability 2023, 15(22), 15849; https://doi.org/10.3390/su152215849 - 11 Nov 2023
Viewed by 632
Abstract
This study proposes a day-ahead transaction model that combines multiple energy storage systems (ESS), including a hydrogen storage system (HSS), battery energy storage system (BESS), and compressed air energy storage (CAES). It is catering to the trend of a diversified power market to [...] Read more.
This study proposes a day-ahead transaction model that combines multiple energy storage systems (ESS), including a hydrogen storage system (HSS), battery energy storage system (BESS), and compressed air energy storage (CAES). It is catering to the trend of a diversified power market to respond to the constraints from the insufficient flexibility of a high-proportion renewable energy system (RES). The model is a double-layer game based on the Nash–Stackelberg–cooperative (N–S–C) game. Multiple users in the upper layer form the Nash game with the goal of maximizing their own benefits, while the multiple ESSs in the lower layer form a cooperative game with the goal of maximizing the overall benefits; the two layers form a Stackelberg game. Moreover, an allocation mechanism is proposed to balance the overall and individual rationality and promote the sustainable development of multiple ESSs, considering the operational characteristics. A numerical simulation is carried out using the rationality and effectiveness of the proposed model, which is based on data from the renewable energy gathering area in northwest China. The results show that this strategy shortens the energy storage payback period and improves the energy storage utilization. The simulation results indicate that small-scale energy storage with a rated power of less than 18 MWh does not have a price advantage, indicating the need to improve the configuration capacity of energy storage in the future from decentralized energy storage to independent/shared energy storage. Full article
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17 pages, 2712 KiB  
Article
An Electric Vehicle Charging Method Considering Multiple Power Exchange Modes’ Coordination
by Long Zeng, Si-Zhe Chen, Zebin Tang, Ling Tian and Tingting Xiong
Sustainability 2023, 15(13), 10520; https://doi.org/10.3390/su151310520 - 04 Jul 2023
Cited by 1 | Viewed by 830
Abstract
To achieve sustainable environmental development, numerous countries and governments have been vigorously promoting the proliferation of electric vehicles (EVs) through a series of policy measures and economic subsidies. With the increasing number of EVs, multiple EV charging modes are being researched to satisfy [...] Read more.
To achieve sustainable environmental development, numerous countries and governments have been vigorously promoting the proliferation of electric vehicles (EVs) through a series of policy measures and economic subsidies. With the increasing number of EVs, multiple EV charging modes are being researched to satisfy owners’ requirements. In this paper, an EV charging method considering multiple power exchange modes’ coordination is proposed for meeting owners’ requirements with cost-effectiveness. In the proposed method, the battery swapping (BS) station, building-to-vehicle (B2V) station, and grid-to-vehicle (G2V) station are considered. In G2V stations, EVs charge from the power grid. In B2V stations, distributed renewable energy generation is considered as the energy provider. This study contemplates the use of photovoltaic power systems in B2V stations for the charging of EVs. In BS stations, the power exchange among batteries and the power grid is considered. The battery energy storage is utilized for reducing the battery degradation cost (BDC) and power cost. EVs are dispatched to the corresponding charging stations according to the electric price, BDC, and so on. In the dispatching process, the particle swarm optimization (PSO) algorithm and Hungarian algorithm are applied. Several case studies are presented to validate the effectiveness of the proposed method and the power matching between EVs and charging modes is discussed. Full article
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26 pages, 4349 KiB  
Article
Tripartite Evolutionary Game of Power Generation Enterprises’ Green Transformation under the Responsibility Assessment of Renewable Energy Consumption in China
by Qiongzhi Liu and Jingjing Sun
Sustainability 2023, 15(13), 10512; https://doi.org/10.3390/su151310512 - 04 Jul 2023
Cited by 1 | Viewed by 932
Abstract
Under the requirements of a low carbon economy, promoting the transition of energy consumption of power generation enterprises from fossil energy to renewable energy is essential in practicing carbon emission reduction. Taking China as an example, this study investigates the impact of the [...] Read more.
Under the requirements of a low carbon economy, promoting the transition of energy consumption of power generation enterprises from fossil energy to renewable energy is essential in practicing carbon emission reduction. Taking China as an example, this study investigates the impact of the interactive behavior of central and local governments in fulfilling their green obligations on the green transformation of power generation enterprises by constructing a tripartite evolutionary game model. The main findings of this paper are as follows: (i) Under the trend of reducing subsidies for renewable electricity, if local governments fail to fulfill their regulatory obligations for renewable energy consumption on time, it will discourage power generation enterprises from using renewable electricity; in the short term, it will cause power generation enterprises to turn their backs on green power strategy and choose thermal power strategy. (ii) If the central government releases a strong signal of a considerable amount of renewable energy power subsidy, the local government’s enthusiasm for fulfilling the renewable energy consumption supervision obligations will be hurt. (iii) The practical implementation of the responsibility assessment system of renewable energy consumption requires mobilizing all relevant stakeholders in the renewable energy market. It is essential to motivate local governments to fulfill their renewable energy consumption regulation obligation. This study provides a policy analysis for the green transformation of Chinese power generation enterprises and a reference for the green transformation of enterprises in other developing countries. Full article
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