High volumetric performance of functional carbon material enabled by co-pyrolysis of mango branches and Faradaic active N-enriched doping DOI
Tao He, Zhaosheng Yu, Xikui Zhang

и другие.

Diamond and Related Materials, Год журнала: 2024, Номер 147, С. 111368 - 111368

Опубликована: Июль 1, 2024

Язык: Английский

Targeting net-zero emissions while advancing other sustainable development goals in China DOI
Shu Zhang, Wenying Chen, Qiang Zhang

и другие.

Nature Sustainability, Год журнала: 2024, Номер 7(9), С. 1107 - 1119

Опубликована: Июль 25, 2024

Язык: Английский

Процитировано

28

Enhancing power system reliability: Hydrogen fuel cell-integrated D-STATCOM for voltage sag mitigation DOI
Heybet Kılıç, Mehmet Emin Asker, Cem Haydaroğlu

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 75, С. 557 - 566

Опубликована: Март 30, 2024

Язык: Английский

Процитировано

23

Life cycle assessment of green hydrogen production through electrolysis: A literature review DOI Creative Commons
Wagd Ajeeb, Rui Costa Neto, Patrícia Baptista

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 69, С. 103923 - 103923

Опубликована: Июль 31, 2024

This study reviews the electrolysis techniques for green-hydrogen (GH2) production, with primary focus on their environmental sustainability implications. Different stages of GH2 value chain are characterized regarding life cycle analysis (LCA), presenting methods, materials, energy sources, and efficiency. Qualified LCA results would lead to proper decision-making, which depends input choices data quality used. Therefore, inventory useful technical production in studies reviewed. Also, recent developments toward potentially enhancing discussed. The showed that solar wind energies as most promising sources lower Global Warming Potential (GWP) turbine cases. reported impacts (EIs) proton-exchange membrane (PEM) technology. There is still limited comparing various EIs (e.g. freshwater eutrophication) accompanying costs. However, it recommended consider H2 mainly efficiency, consumption lifetime along miniaturization. future may final use produced fuel cells), heat recovery materials recycling complete visibility towards optimizing efficiency EIs.

Язык: Английский

Процитировано

23

Deep reinforcement learning challenges and opportunities for urban water systems DOI Creative Commons
Ahmed S. Negm, Xiandong Ma, George Aggidis

и другие.

Water Research, Год журнала: 2024, Номер 253, С. 121145 - 121145

Опубликована: Янв. 16, 2024

The efficient and sustainable supply transport of water is a key component to any functioning civilisation making the role urban systems (UWS) inherently crucial wellbeing its customers. However, managing not simple task. Whether it aging infrastructure, transient flows, air cavities or low pressures; can be lost as result many issues that face UWSs. complexity those networks grows with high urbanisation trends climate change companies regulatory bodies in need new solutions. So, comes no surprise researchers are invested innovating within industry ensure future our safe. Deep reinforcement learning (DRL) has potential tackle complexities used very challenging relies on deep neural for function approximation representation. This technology conquered fields due impressive results effectively revolutionise UWS. In this article, we explain background DRL milestones field using novel taxonomy algorithms. will followed by review applications UWS which focus distribution stormwater systems. concluded critical insights how benefit different aspects

Язык: Английский

Процитировано

15

The research of the impact of energy efficiency on mitigating greenhouse gas emissions at the national level DOI

T. J. Pavel,

Samuseva Polina,

Nikolaychuk Liubov

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 314, С. 118671 - 118671

Опубликована: Июнь 22, 2024

Язык: Английский

Процитировано

14

Experimental assessment of the energy performance of a renewable air-cooling unit based on a dew-point indirect evaporative cooler and a desiccant wheel DOI Creative Commons
María Jesús Romero-Lara, Francisco Comino, Manuel Ruiz de Adana

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 310, С. 118486 - 118486

Опубликована: Май 6, 2024

Given the escalating energy consumption in cities worldwide, it is crucial to investigate utilization of sustainable technologies and renewable sources. The number empirical studies on performance hybrid air-cooling systems limited. Therefore, objective this work experimentally study a novel unit. This prototype mainly composed desiccant wheel dew-point indirect evaporative cooler independently control temperature, humidity, carbon dioxide levels indoor air. 64 experimental tests are carried out fit an model unit, focusing outlet air conditions coefficient performance. In addition, several indices developed for cooler: (i) moisture removal capacity; (ii) capacity per unit electrical power-consumption; (iii) efficiency (iv) cooling power-consumption. highest values dehumidification capacity, sensible achieved most severe outdoor conditions, namely 19.02 kg·h−1, 21.49 kW 11.0, respectively. can serve as reference research feasibility scenarios heat events climate change world.

Язык: Английский

Процитировано

8

Urban emissions and land use efficiency scenarios for avoiding increments of global warming DOI
Şiir Kılkış

Energy, Год журнала: 2024, Номер 307, С. 132174 - 132174

Опубликована: Июнь 29, 2024

Язык: Английский

Процитировано

5

Featuring Machine Learning in Municipal Solid Waste Management DOI
Bhupinder Singh, Christian Kaunert, Rishabha Malviya

и другие.

Practice, progress, and proficiency in sustainability, Год журнала: 2024, Номер unknown, С. 343 - 366

Опубликована: Авг. 2, 2024

Due to the expansion of urban areas and steady growth global population, management municipal solid waste has become increasingly complex in recent times. Inadequate handling poses risks environment, public health, exacerbates greenhouse gas emissions. There are various approaches such as principle reduce, reuse, recycle, recover have been introduced tackle these challenges. However, effectively implementing strategies remains intricate challenging. Machine learning stands out a promising technology with potential revolutionize management. ML can play pivotal role streamlining sorting segregation processes, thereby enhancing efficiency cost-effectiveness operations. This chapter explores machine enables route optimization, categorization, prediction characteristics, aiming enhance efficiency, reduce costs, minimize environmental impact

Язык: Английский

Процитировано

5

Performance assessment and optimisation of a concentric two-piston compressor system for hydrogen storage DOI
Yi Guo, Qi Wang,

Junhao Cao

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 310, С. 118470 - 118470

Опубликована: Апрель 26, 2024

Язык: Английский

Процитировано

4

Thermodynamic analysis of an advanced adiabatic compressed air energy storage system integrated with a high-temperature thermal energy storage and an Organic Rankine Cycle DOI
Jiahua Zhu, Yanan Zhang,

Boxu Yu

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 100, С. 113773 - 113773

Опубликована: Сен. 14, 2024

Язык: Английский

Процитировано

4