Article
Chemistry, Physical
Pawan Kumar Pathak, Anil Kumar Yadav, Sanjeevikumar Padmanaban
Summary: Hydrogen has the potential to help the world achieve net-zero emission energy systems by 2050 and limit global warming to 1.5 degrees C by reducing 80 gigatons of CO2 by 2050. This requires the utilization of 660 million metric tons of low-carbon hydrogen and renewables, equivalent to 22% of global energy demand. In order to meet the decarbonization role, very high clean hydrogen production is needed, along with significant renewable power, electrolysis capacity, minimal carbon hydrogen production reforming capacity, and CO2 storage infrastructure.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Computer Science, Information Systems
Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen
Summary: This survey paper proposes a roadmap towards carbon-neutral data centers, considering both policy instruments and technological methodologies. It introduces the carbon footprint of data centers and the major sources of carbon emissions, and summarizes the carbon neutrality plans of major global cloud providers. On the technological front, it suggests increasing renewable energy penetration, improving energy efficiency, and boosting energy circulation to achieve carbon-neutral data centers. A comprehensive review of existing technologies is provided, and a digital twin-powered industrial AI framework is proposed. The paper discusses three key scientific challenges for implementing this framework and presents several applications to demonstrate its potential.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Thermodynamics
T. Sathish, Pelluru Suresh, Kamal Sharma, C. Ahamed Saleel, Saboor Shaik, Sher Afghan Khan, Hitesh Panchal
Summary: This research aims to develop a zero-emission/energy-building heating system with a PCM. Experimental results show that the KNO3-NaNO3 PCM outperformed by exhibiting a higher heat transfer rate. The system achieved a maximum output water temperature of 94 degrees C, a heat transfer of 6273 W, an energy efficiency of 50.6%, and an exergy of 5.99%.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Chemistry, Analytical
Takumi Ikeda, Hayato Sekiya, Haruki Kohata, Toshihiro Isobe, Akira Nakajima, Sachiko Matsushita
Summary: The study demonstrated that the presence of Cu(I) + Cu(II) ions is essential for power generation in STC.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Multidisciplinary
Romulos da S. Machado, Fabiano dos S. Pires, Giovanni R. Caldeira, Felipe T. Giuntini, Flavia de S. Santos, Paulo R. Fonseca
Summary: This article reports an industrial experience of achieving energy efficiency in a data center through a new layout proposal, reuse of previously existing resources, and air conditioning. By adopting methods such as cold corridor confinement, increasing the raised floor's height, and improving the direction of cold airflow, energy efficiency was improved. Reusing three legacy refrigeration machines from the old data center helped avoid the purchase of new equipment and contributed to saving energy.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Yaman M. Manaserh, Mohammad I. Tradat, Dana Bani-Hani, Aseel Alfallah, Bahgat G. Sammakia, Kourosh Nemati, Mark J. Seymour
Summary: This study proposes a novel approach to developing a compact IT equipment model with thermal and energy management functions, which can optimize airflow, temperature, and energy management. The model accurately predicts IT equipment power consumption, required flow rate, and exhaust temperature, and outperforms state-of-the-art compact models in reducing prediction errors for equipment flow rate and outlet air temperature.
Article
Thermodynamics
Gul Nihal Gugul, Furkan Gokcul, Ursula Eicker
Summary: The feasibility of a net zero energy data center was evaluated in this study, and a combination of free cooling system and PV generator was found to be the most feasible solution. This combination can significantly reduce cooling demand and improve power usage efficiency. Additionally, a waste heat reuse system can also achieve net zero energy, but with a higher initial cost.
Article
Computer Science, Information Systems
Maryam AlShehhi, Ernesto Damiani, Di Wang
Summary: The study introduces a data selection mechanism to minimize data requirement from the new domain, achieving fast retraining, reducing new domain data usage, and enhancing the generalization ability of the model.
INTERNET OF THINGS
(2021)
Article
Green & Sustainable Science & Technology
Xue Liang, Hui Hwang Goh, Tonni Agustiono Kurniawan, Dongdong Zhang, Wei Dai, Hui Liu, Jiefeng Liu, Kai Chen Goh
Summary: This article investigates the possibility of using landfill gas (LFG) as a sustainable energy source to power data centers (DCs) and evaluates the impact of waste heat reuse on energy consumption. The study found that utilizing LFG and waste heat not only improves energy efficiency and reduces CO2 emissions, but also brings economic and social benefits, promoting sustainable development.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Environmental
Weixiang Chao, Shanshan Pi, Yang Yang, Zhida Li, Yongjie Yu, Ying Yang, Ruijie Yang, Haiyan Li, Lu Lu
Summary: Water scarcity in arid areas can be alleviated by exploiting unconventional water resources like domestic wastewater (DWW). A solar-driven interfacial evaporation system, using a solar-absorber made of b-TiO2-DW, shows promise for direct potable reuse (DPR) from DWW. The system achieves high efficiency in desalination and evaporation, with potential to meet the daily drinking water needs of 2-3 people in undeveloped areas with limited infrastructure.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Construction & Building Technology
Kaiyu Sun, Na Luo, Xuan Luo, Tianzhen Hong
Summary: This study developed two new data center prototype models and implemented them in OpenStudio and EnergyPlus. The models represent a computer room and a stand-alone data center, covering all U.S. climate zones and can be used to evaluate energy saving measures for data centers and support the development of data center energy efficiency codes and standards.
ENERGY AND BUILDINGS
(2021)
Article
Energy & Fuels
Yongping Huang, Zilong Deng, Yongping Chen, Chengbin Zhang
Summary: To improve the power usage efficiency of data centers, a single-phase immersion cooling system with palmate leaf-shaped fins for latent heat thermal energy storage (LHTES) is proposed. The phase change behavior and thermal transport patterns of biomimetic and traditional LHTES devices are investigated, revealing the effects of arrangement and working conditions. The results show that the performance of palmate leaf-shaped finned LHTES devices is significantly enhanced compared to traditional ones, with reduced charge and discharge durations.
Article
Behavioral Sciences
David Rempel, Carleen Cullen, Mary Matteson Bryan, Gustavo Vianna Cezar
Summary: This study systematically evaluated the usability of public electric vehicle direct current fast chargers in the San Francisco region. It found that 73.3% of the chargers were functional, with reasons for non-functionality including screen or payment system failures, charge initiation failures, and broken connectors. The study highlights the need to improve the design and maintenance of the existing charging infrastructure.
Article
Energy & Fuels
Tong Wan, Yuechuan Tao, Jing Qiu, Shuying Lai
Summary: This paper investigates the impact of the demand response of Internet data centers (IDCs) on the electricity network transition roadmap under carbon pricing policies. A two-stage energy transition framework is proposed to reveal the interaction between transmission expansion planning and the carbon response of IDCs. Simulation results show that the carbon response of IDCs can help save costs, facilitate energy transition, and reduce total carbon emissions.
Article
Green & Sustainable Science & Technology
Fu Wang, Victor Nian, Pietro E. Campana, Jakub Jurasz, Hailong Li, Li Chen, Wen-Quan Tao, Jinyue Yan
Summary: The current approach of achieving a green data center through net-zero energy does not truly achieve carbon neutrality. This study proposes and investigates two approaches based on net-zero energy and net-zero CO2 emission, and examines the impact of dynamic energy mix on the net CO2 emission of a data center through a case study. The findings suggest that the net-zero CO2 emission approach can achieve true carbon neutrality, but it requires an increase in PV capacity.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Mechanics
Feifei Qin, Luca Del Carro, Ali Mazloomi Moqaddam, Qinjun Kang, Thomas Brunschwiler, Dominique Derome, Jan Carmeliet
JOURNAL OF FLUID MECHANICS
(2019)
Article
Thermodynamics
Feifei Qin, Meng Su, Jianlin Zhao, Ali Mazloomi Moqaddam, Luca Del Carro, Thomas Brunschwiler, Qinjun Kang, Yanlin Song, Dominique Derome, Jan Carmeliet
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2020)
Article
Thermodynamics
Feifei Qin, Jianlin Zhao, Qinjun Kang, Thomas Brunschwiler, Jan Carmeliet, Dominique Derome
Summary: Based on the numerical study, a higher initial nanoparticle concentration leads to larger and more numerous necks, resulting in increased effective thermal conductivity of the NTS. Drying temperature has minimal impact on the effective thermal conductivity of the resultant NTS, but neck size and distribution become more uniform at higher drying temperatures. Decreasing wettability of the cavity's top and bottom surfaces causes necks to shrink or disappear, while the size of necks between filler particles in the middle of the cavity slowly expands, leading to a decrease in the effective thermal conductivity of the NTS.
APPLIED THERMAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Pedro Andre Martins Bezerra, Florian Krismer, Johann Walter Kolar, Riduan Khaddam-Aljameh, Stephan Paredes, Ralph Heller, Thomas Brunschwiler, Pier Andrea Francese, Thomas Morf, Marcel Andre Kossel, Matthias Braendli
Summary: Different HB converter topologies were evaluated for an IVR serving as a microprocessor application, with the ANPC HBST topology showing better performance in terms of efficiency and robust operation. The IVR achieved a maximum efficiency of 85.3% at 300mA output current and 50MHz switching frequency.
Proceedings Paper
Computer Science, Artificial Intelligence
Michal Muszynski, Jeffrey Okyere, Ruchi Mahindru, Thomas Brunschwiler
Summary: This study aims to develop an end-to-end solution for a patient cough diary, utilizing three convolutional neural networks for multi-class classification, cough validation, and cough event detection. We achieved high accuracy and the experimental results demonstrate that our cough source validation model slightly outperformed the human cohort in the cough memorization task.
2022 IEEE 10TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2022)
(2022)
Article
Health Care Sciences & Services
Dario Kohlbrenner, Christian F. Clarenbach, Adam Ivankay, Lukas Zimmerli, Christoph S. Gross, Manuel Kuhn, Thomas Brunschwiler
Summary: This study reports on the user adherence and acceptance as well as the system functionality of a novel multisensory home-monitoring device called CAir-Desk in participants with stable chronic obstructive pulmonary disease (COPD) or asthma. The results show that CAir-Desk exhibited favorable technical performance and was well-accepted by the participants. These insights were used to redesign CAir-Desk for a randomized controlled trial with an interventional program.
JMIR HUMAN FACTORS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Alessio Quercia, Thomas Frick, Fabian Emanuel Egli, Nicholas Pullen, Isabelle Dupanloup, Jianbin Tang, Umar Asif, Stefan Harrer, Thomas Brunschwiler
Summary: Epilepsy is a common neurological disorder characterized by recurrent seizures which can be predicted using EEG signals. A new method of labeling each seizure individually shows significant improvements compared to the standard approach, reducing noise in labels and enhancing classifier performance. This suggests that the duration of preictal states varies between seizures.
2021 IEEE INTERNATIONAL CONFERENCE ON DIGITAL HEALTH (ICDH 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Alexander H. Hatteland, Ricards Marcinkevics, Renaud Marquis, Thomas Frick, Ilona Hubbard, Julia E. Vogt, Thomas Brunschwiler, Philippe Ryvlin
Summary: This study utilized a unique dataset to explore the correlation between brainwaves and peripheral biosignals using deep neural networks, revealing strong brain-peripheral associations and observing a temporal delay between brain signals and EDA.
2021 IEEE INTERNATIONAL CONFERENCE ON DIGITAL HEALTH (ICDH 2021)
(2021)
Article
Physics, Fluids & Plasmas
Feifei Qin, Jianlin Zhao, Qinjun Kang, Thomas Brunschwiler, Dominique Derome, Jan Carmeliet
Summary: Experimental studies have shown that the neck-based thermal structure (NTS) formed by colloidal nanoparticle deposition between microsize filler particles can significantly enhance vertical heat conduction in innovative three-dimensional chip stacks.
Article
Computer Science, Information Systems
Rui Hu, Bruno Michel, Dario Russo, Niccolo Mora, Guido Matrella, Paolo Ciampolini, Francesca Cocchi, Enrico Montanari, Stefano Nunziata, Thomas Brunschwiler
Summary: The study presents a remote healthcare service system utilizing environmental sensors to collect real-life data from elderly individuals. By analyzing behavioral data, the system can monitor and predict changes in health status and anomalies in patients.
Article
Engineering, Electrical & Electronic
Pedro A. M. Bezerra, Florian Krismer, Johann W. Kolar, Riduan K. Aljameh, S. Paredes, R. Heller, T. Brunschwiler, Pier A. Francese, T. Morf, Marcel A. Kossel, M. Braendli
IEEE OPEN JOURNAL OF POWER ELECTRONICS
(2020)
Article
Health Care Sciences & Services
Christoph Gross, Dario Kohlbrenner, Christian F. Clarenbach, Adam Ivankay, Thomas Brunschwiler, Yves Nordmann, Florian Wangenheim
JMIR RESEARCH PROTOCOLS
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Anirban Das, Thomas Brunschwiler
PROCEEDINGS OF THE 2019 INTERNATIONAL WORKSHOP ON CHALLENGES IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR INTERNET OF THINGS (AICHALLENGEIOT '19)
(2019)
Proceedings Paper
Energy & Fuels
Reto Christen, Jasmin Smajic, Arvind Sridhar, Thomas Brunschwiler
THIRTY-FOURTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2019)
(2019)
Article
Physics, Fluids & Plasmas
Feifei Qin, Ali Mazloomi Moqaddam, Luca Del Carro, Qinjun Kang, Thomas Brunschwiler, Dominique Derome, Jan Carmeliet