Article
Environmental Sciences
Umit Emrah Kaplan, Yasin Dagasan, Erkan Topal
Summary: In this study, machine learning methods based on gradient boosting (XGBoost, LightGBM, CatBoost) were used to estimate mineral grades, showing better performance compared to traditional methods. Among the models, XGBoost demonstrated the best estimation performance.
INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT
(2021)
Article
Astronomy & Astrophysics
Atrideb Chatterjee, Pratika Dayal, Valentin Mauerhofer
Summary: We used the delphi model to calculate the redshift evolution of the global 21 cm signal in the first billion years. Our model predicts galaxy populations consistent with data from JWST and ALMA. We explored different scenarios and found that the dust attenuation does not have a significant impact on the global 21 cm signal.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Environmental Sciences
Banafsheh Abdollahi, Fakhereh Alidoost, Davood Moshir Panahi, Rolf Hut, Nick van de Giesen
Summary: The reproducibility of computational hydrology is a focus of attention among hydrologists. A set of open-source Python and YAML scripts are presented to improve the reproducibility of the GlobWat model by processing weather inputs. The evaluation in the Urmia Lake Basin in Iran demonstrates the advantage of using these scripts and provides insights into the causes of differences in model outcomes.
Article
Agronomy
A. Pelosi, G. B. Chirico
Summary: This study evaluated the accuracy of daily reference evapotranspiration (ETo) in Sicily, Italy, using a blended ERA5L and CM-SAF dataset, showing that the blended dataset outperformed other datasets and can serve as a good proxy for assessing ground weather observations.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Geography, Physical
Yibo Zhang, Kun Shi, Xiao Sun, Yunlin Zhang, Na Li, Weijia Wang, Yongqiang Zhou, Wei Zhi, Mingliang Liu, Yuan Li, Guangwei Zhu, Boqiang Qin, Erik Jeppesen, Jian Zhou, Huiyun Li
Summary: Secchi disk depth is an important indicator for water quality, and researchers have proposed a global SDD estimation model using machine learning methods, which can be used for long-term water quality evaluation and development policy making in diverse water bodies globally.
GISCIENCE & REMOTE SENSING
(2022)
Article
Thermodynamics
Rangjian Qiu, Chunwei Liu, Ningbo Cui, Yang Gao, Longan Li, Zongjun Wu, Shouzheng Jiang, Meng Hu
Summary: This study proposes a method for estimating daily solar radiation at locations with no historical data and develops corresponding models. The accuracy of the generalized XGBoost model is improved by including geographical variables in different climate zones, and it outperforms other models.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Multidisciplinary
Babak Mohammadi, Roozbeh Moazenzadeh, Quoc Bao Pham, Nadhir Al-Ansari, Khalil Ur Rahman, Duong Tran Anh, Zheng Duan
Summary: Solar radiation estimation methods for different weather stations in Iran were analyzed in this study. The results showed that an artificial intelligence-based model using support vector machine (SVM) exhibited the best performance in terms of measurement errors and accuracy, with lower errors compared to some empirical models.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Public, Environmental & Occupational Health
Xinshuo Zhang, Mengli Zhang, Yong Cui, Ying He
Summary: This study analyzed the effects of air pollution characteristics on solar radiation and found that different pollutants have varying impacts on solar radiation, with O-3 showing the highest correlation. The study also revealed regional differences in the key pollutants affecting solar radiation. The performance of the model-C in prediction was better than model-U, except for Urumqi where model-U showed good performance. This study provides valuable insights for improving regional solar radiation prediction and addressing data gaps in some areas.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Stefan Mayr, Igor Klein, Martin Rutzinger, Claudia Kuenzer
Summary: This study utilizes MODIS images to provide daily information on global inland surface water resources. Using a linear mixture model to access subpixel information, the dataset's quantitative capabilities are enhanced. Evaluation on a pixel level across 32 regions shows that water fraction information improves product performance.
Article
Chemistry, Analytical
Francisco J. Diez, Ouiam F. Boukharta, Luis M. Navas-Gracia, Leticia Chico-Santamarta, Andres Martinez-Rodriguez, Adriana Correa-Guimaraes
Summary: This article discusses the interpolation of daily data of global solar irradiation and temperatures using the concept of Virtual Weather Station (VWS) implemented with Artificial Neural Networks (ANNs). The measurements were conducted in agrometeorological stations in Spain, and the ANN models were trained and tested with data from multiple stations. The results show that the VWS approach with ANN models can accurately estimate the global solar irradiation and temperatures.
Article
Green & Sustainable Science & Technology
Yuan Wang, Qiangqiang Yuan, Tongwen Li, Liye Zhu
Summary: A new framework for estimating daily globally distributed surface CO concentrations at a high spatial resolution using data-driven fusion is developed. The framework utilizes an advanced ensemble learning technique and achieves desired estimation accuracy. The study reveals that Asia has the most severe population-weighted surface CO concentrations, and the provided data can contribute to quantifying global ambient CO exposure and supporting relevant research.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Medicine, General & Internal
Tsung-Yu Yen, Kai-Cheng Chuang, Hsiao-Mei Fu, Chen-Ju Feng, Ke-Yu Lien, Shih-Ming Hsu
Summary: A method for estimating surface dose in whole breast irradiation was developed using an anthropomorphic phantom and accessories to simulate different breast sizes. The relationship between incident angle and surface dose was analyzed, and a method for normalizing the inhomogeneous dose was proposed. This method could be used in daily clinical practice to estimate surface dose in whole breast irradiation.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Meteorology & Atmospheric Sciences
Li Liu, Haiting Gu, Jingkai Xie, Yue-Ping Xu
Summary: The study shows that all reanalysis datasets provide highly correlated but cold-biased air temperature. ERA-Interim is found to have the closest agreement with in situ measurements.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Engineering, Mechanical
Jiaqi Wang, Zhenzhou Lu, Lu Wang
Summary: This paper proposes an efficient method to estimate the FP-GS using reliability updating, avoiding the time-consuming double-loop structure analysis. By utilizing the likelihood function and adaptive Kriging model, the unconditional FP and all conditional FPs can be estimated simultaneously.
PROBABILISTIC ENGINEERING MECHANICS
(2024)
Article
Green & Sustainable Science & Technology
Muhammed A. Hassan, Mohamed Abubakr, Adel Khalil
Summary: A novel data-driven approach was proposed to predict hourly global irradiation profiles from daily global irradiation records in North African Sahara, showing superior accuracy and residual distribution compared to existing models. The method could be applied in various fields including building energy simulation and power system operation scheduling.
Article
Energy & Fuels
Dazhi Yang, Stefano Alessandrini, Javier Antonanzas, Fernando Antonanzas-Torres, Viorel Badescu, Hans Georg Beyer, Robert Blaga, John Boland, Jamie M. Bright, Carlos F. M. Coimbra, Mathieu David, Azeddine Frimane, Christian A. Gueymard, Tao Hong, Merlinde J. Kay, Sven Killinger, Jan Kleissl, Philippe Lauret, Elke Lorenz, Dennis van der Meer, Marius Paulescu, Richard Perez, Oscar Perpinan-Lamigueiro, Ian Marius Peters, Gordon Reikard, David Renne, Yves-Marie Saint-Drenan, Yong Shuai, Ruben Urraca, Hadrien Verbois, Frank Vignola, Cyril Voyant, Jie Zhang
Review
Energy & Fuels
Fernando Antonanzas-Torres, Javier Antonanzas, Julio Blanco-Fernandez
Summary: The current electrification status in West African countries requires improvement, and off-grid mini grids have shown great potential in addressing energy challenges, attracting international funding. Despite rapid growth in the market, research and data on the social impact of mini grids in this region remains scarce.
Article
Environmental Sciences
Silvia Rivas, Yeray Hernandez, Ruben Urraca, Paulo Barbosa
Summary: Current trends in climate change show that urban areas are at high risk due to their population concentration. The Covenant of Mayors for Climate and Energy initiative aims to tackle local adaptation to climate change in a global and harmonized way. Stakeholder and citizen engagement, especially at the local level, can significantly facilitate the acceptance of adaptation plans within the initiative, with smaller municipalities benefiting more from such engagement opportunities.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Green & Sustainable Science & Technology
J. Antonanzas, J. C. Quinn
Summary: While the PV industry has achieved greenhouse gas emissions payback between 2012 and 2016, its effectiveness in preventing other environmental damages is limited. More technology improvements are needed to lower the impact in other environmental categories beyond climate change and make solar PV more sustainable.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Fernando Antonanzas-Torres, Javier Antonanzas, Julio Blanco-Fernandez
Summary: This study examined the environmental impact of SHS in Sub-Saharan Africa, highlighting lead-acid batteries as the main contributor to environmental harm. User training was identified as crucial for improving energy payback time and reducing GHG emissions associated with SHS operations.
Article
Green & Sustainable Science & Technology
Silvia Rivas, Ruben Urraca, Valentina Palermo, Paolo Bertoldi
Summary: To ensure success for climate change mitigation policies, it is essential to address the issue of inadequate monitoring. This can be achieved through increased participation and collaboration, accurate budget allocation, and timely development and implementation of action plans.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Silvia Rivas, Ruben Urraca, Paolo Bertoldi, Christian Thiel
Summary: This study examines the factors driving European cities to set ambitious GHG reduction targets by 2030 and finds that developing local mitigation actions based on baseline emission inventory results is key. It also shows that specific cities have the ability to set highly ambitious mitigation targets by municipalizing energy facilities and addressing highly emitting sectors such as transportation. Additionally, the study highlights easy-to-reach solutions for increasing climate ambition, such as developing in-house action plans and engaging stakeholders early in the planning process.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Fernando Antonanzas-Torres, Ruben Urraca, Camilo Andres Cortes Guerrero, Julio Blanco-Fernandez
Summary: The feasibility and economic cost of e-cooking were evaluated in rural Sub-Saharan Africa, showing that using solar home systems and low-power cooking devices can provide clean and environmentally-friendly cooking options for households. Compared to traditional cooking technologies using wood and charcoal fuel, e-cooking has lower carbon emissions and is more cost-effective.
Article
Green & Sustainable Science & Technology
F. Antonanzas-Torres, J. Antonanzas, J. Blanco-Fernandez
Summary: In West Africa, the study found that 100% PV mini grids outperform other mini grid solutions and national grid electricity in terms of most environmental indicators, with significantly lower greenhouse gas emissions and energy payback period.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Environmental Sciences
Ruben Urraca, Christian Lanconelli, Fabrizio Cappucci, Nadine Gobron
Summary: This study analyzes the performance of multiple satellite products in monitoring surface albedo over snow. The results show that MCD43C3 has the smallest bias and more stable performance, while GLASS-AVHRR and C3S-v1/v2 show a decrease in albedo quality over snow.
Article
Green & Sustainable Science & Technology
Silvia Rivas, Ruben Urraca, Paolo Bertoldi
Summary: This paper evaluates the actual achievements of local climate action plans in Europe and analyzes the different reduction patterns and factors influencing local authorities. Large local authorities rely on climate experience and stakeholder engagement, while small local authorities depend more on political authorization and support from regional governments. The partnership between government levels is a key factor in climate action planning.
Article
Geography, Physical
Ruben Urraca, Nadine Gobron
Summary: Using Earth observation data and reanalysis products, it is now possible to monitor snow cover changes and infer climate change impacts. The stability of these products becomes crucial when tracking changes over time. The study evaluates the stability of satellite-based and reanalysis products using ground stations as reference data and highlights the challenges posed by assimilating new observations.
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)