Article
Green & Sustainable Science & Technology
Alessandro N. Vargas, Gabriel R. Francisco, Marcio A. F. Montezuma, Leonardo P. Sampaio, Leonardo Acho
Summary: The paper introduces the construction of a low-cost photovoltaic educational kit to promote photovoltaic engineering education. By using real-time data and a linear model, a solar tracker equipment that effectively extracts photovoltaic energy with an improved energy efficiency of about 32% has been designed. This low-cost equipment has significant benefits for photovoltaic education.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Chemistry, Physical
Hicham Bouzakri, Ahmed Abbou, Khalil Tijani, Zakaria Abousserhane
Summary: This study presents a model of a biaxial solar tracker utilizing the equatorial mount principle, allowing precise solar tracking via a single axis while minimizing energy consumption. Experimental results demonstrate that the model receives maximum solar irradiation and achieves up to 63.47% solar irradiation gain compared to fixed installations.
INTERNATIONAL JOURNAL OF PHOTOENERGY
(2021)
Article
Green & Sustainable Science & Technology
Bartosz Stanek, Daniel Wecel, Lukasz Bartela, Sebastian Rulik
Summary: The paper analyzes the effect of solar tracker error on the optical and thermodynamic efficiency of linear absorbers. The results show that the maximum angle error of the solar tracker has a significant impact on the efficiency of small diameter absorbers, while the performance of large diameter absorbers is less affected.
Article
Energy & Fuels
Grazyna Frydrychowicz-Jastrzebska, Artur Bugala
Summary: This study compares the electricity production of two 1000 W-p photovoltaic systems in central Poland, finding that using a dual-axis tracking system can increase electricity production by 35.6% and 44.7% compared to fixed units. The results suggest that the region's climate conditions are favorable for the use of astronomical-sensor spatial positioning systems for photovoltaic modules, even with a significant share of diffuse solar radiation in the total radiation. This information may simplify the planning of solar tracking investments and assist in estimating the investment return period and operational costs.
Article
Energy & Fuels
Farouk Badr, Ali Radwan, Mahmoud Ahmed, Ahmed M. Hamed
Summary: A dual-axis elliptic solar tracker has been designed and experimentally evaluated, showing minimal errors and independence from dust and cloudy weather. By integrating with a concentrator PV system, it achieves higher power generation.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Review
Green & Sustainable Science & Technology
Hengwu Hu, Domenico Vizzari, Xudong Zha, Ronald Roberts
Summary: Solar pavements, using photovoltaic technology to provide sustainable power support, can transform road systems into energy providers and eliminate or alleviate energy pollution. The study evaluates the cost-effectiveness of different solar pavement structures, showing that Hollow slab solar pavements have the lowest net present value and levelized cost of electricity.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Ildefonso Munoz, Adrian Guinda, Gregorio Olivares, Sara Diaz, Ana M. Gracia-Amillo, Luis Casajus
Summary: This article compares the performance of three solar tracking algorithms and the Astronomical algorithm in optimizing the photovoltaic (PV) installation. The study shows that the new algorithms can improve the in-plane irradiance and power output of PV systems under different climatic conditions.
Article
Environmental Sciences
Rajkumar Malviya, Akash Patel, Ayush Singh, Santosh Jagadev, Prashant Baredar, Anil Kumar
Summary: Tracking is crucial in a solar energy system. Single axis tracking is cheaper but less efficient than dual axis tracking. In this study, a novel method called average axis tracking method (AATM) is proposed, which considers both azimuth and altitude angles for each tracking point. The method is validated using simulation software and compared with single and dual axis tracking. The results show that AATM has a smoother tracking waveform and a small estimation error, indicating its potential for application in parabolic dish or solar PV systems.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Xueqing Liu, Xiaodong Zhao, Luyi Lu, Jianlan Li
Summary: Photovoltaic power generation technology is an important method for achieving carbon neutralization. This study investigates the effects of liquid bridges formed on the surfaces of hydrophobic and hydrophilic PV glass and their self-cleaning abilities. The results show that liquid bridges enhance the self-cleaning forces and contribute to the prevention and reduction of dust accumulation on glass.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Energy & Fuels
Raviduth Ramful, Nashil Sowaruth
Summary: This study aims to design a low-cost and portable solar tracker with an innovative tracking mechanism to maximize the capture of solar energy per square meter of photovoltaic cells. The tested tracker proved to be effective in precisely orienting solar panels, generating significantly higher current compared to static panels.
Article
Economics
Karl Larsson, Rikard Green, Fred Espen Benth
Summary: In this study, a novel stochastic time series model is proposed to explain the stylized features of daily irradiation level data in 5 cities in Germany. The model is applicable for risk management of photovoltaic power production in renewable energy markets. The suggested dynamics is a low-order autoregressive time series with seasonal level determined by an atmospheric clear-sky model. Additionally, the skewness property in residuals is detected and explained by a winter-summer regime switch. The stochastic variance is modeled by a seasonally varying GARCH dynamics. The winter and summer standardized residuals are proposed to follow a Gaussian mixture model to capture the bimodal distributions. The model is estimated and validated using observed data, and an application to energy markets studying the production at risk for a PV-producer is presented.
Article
Energy & Fuels
Maryam K. Abdelrazik, Sara E. Abdelaziz, Mariam F. Hassan, Tarek M. Hatem
Summary: Solar energy has great potential in Africa to address energy and economic issues, but its implementation faces challenges in finance, technology, human resources, and the environment.
Article
Computer Science, Information Systems
Ankur Kumar Gupta, Rupendra Kumar Pachauri, Tanmoy Maity, Yogesh K. Chauhan, Om Prakash Mahela, Baseem Khan, Pankaj Kumar Gupta
Summary: This paper discusses the different step sizes used in incremental conductance (INC) related to maximum power point tracking (MPPT) technique in solar photovoltaic systems. A variable step size method (DVS) is proposed and compared with fixed step size (DFS) method, with results showing that DVS method has lower ON delay time, load current fluctuations and peak currents, making it superior to DFS method.
Article
Chemistry, Multidisciplinary
Hongsub Jee, Yohan Noh, Minwoo Kim, Jaehyeong Lee
Summary: Floating solar power has higher power generation efficiency and is easier to install and connect compared to existing solar power generation methods. A performance comparison between pivotless tracking-type and fixed-type solar power systems showed that the tracking-type system generated approximately 14% more energy than the fixed-type system.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Adam R. Jensen, Ioannis Sifnaios, Simon Furbo, Janne Dragsted
Summary: In this paper, an open source method for calculating self-shading in fields of two-axis tracking solar collectors of arbitrary geometry was developed and validated. The impact of latitude and collector aperture shape on annual shading loss was investigated.
Article
Engineering, Industrial
J. L. Schaefer, I. C. Baierle, M. A. Sellitto, J. C. M. Siluk, J. C. Furtado, E. O. B. Nara
Summary: This study aimed to analyze competitiveness among small and medium-sized enterprises in Southern Brazil using the Multi-Attribute Utility Theory. The research identified key variables influencing competitiveness and structured them into a decision tree model. The findings help managers understand important performance indicators, critical success factors, and fundamental viewpoints for developing competitiveness strategies.
ENGINEERING MANAGEMENT JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Elpidio Oscar Benitez Nara, Matheus Becker da Costa, Ismael Cristofer Baierle, Jones Luis Schaefer, Guilherme Brittes Benitez, Leonardo Moraes Aguiar Lima do Santos, Lisianne Brittes Benitez
Summary: This study investigates the impact of Industry 4.0 technologies on sustainability using a Triple Bottom Line perspective. It proposes a sustainability-oriented model to evaluate these impacts, showing that technologies such as the internet of things, cyber-physical systems, sensors, and big data have positive impacts on economic metrics. However, the influence on environmental and social metrics is smaller, suggesting an imbalance in the Triple Bottom Line perspective.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Environmental Sciences
Maikel Luis Kolling, Leonardo B. Furstenau, Michele Kremer Sott, Bruna Rabaioli, Pedro Henrique Ulmi, Nicola Luigi Bragazzi, Leonel Pablo Carvalho Tedesco
Summary: This paper conducts bibliometric performance and network analysis to identify the strategic topics and thematic evolution structure of data mining applied to healthcare, presenting a strategic diagram composed of 19 themes. The analysis reveals two areas in the thematic network structure related to practices and techniques of data mining in healthcare and health concepts and diseases supported by data mining, demonstrating the field's evolution over time and providing insights for future research and decision-making.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Social Issues
Gislene Cassia S. Schwambach, Oscar Hernandez Lopez, Michele Kremer Sott, Leonel Pablo Carvalho Tedesco, Rolf Fredi Molz
Summary: This study aims to examine the acceptance of wearable technologies in industrial environments and the factors influencing this acceptance. The survey results indicate a high level of acceptance for wearable technologies in both Brazil and Europe, both inside and outside the workspace. The study also reveals that acceptance outside the workspace increases when users receive compensation.
TECHNOLOGY IN SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Ismael Cristofer Baierle, Francisco Tardelli da Silva, Ricardo Goncalves de Faria Correa, Jones Luis Schaefer, Matheus Becker Da Costa, Guilherme Brittes Benitez, Elpidio Oscar Benitez Nara
Summary: This paper explores the current state of implementation of digital technologies in different industrial sectors through analyzing survey data from various sectors in the Brazilian industry. The study reveals that the food industry usually relies on only one digital technology and suggests the need for simultaneous investment in and promotion of other digital technologies.
Article
Green & Sustainable Science & Technology
Andreia de Castro e Silva, Robson Seleme, Wiliam de Assis Silva, Izabel Cristina Zattar, Elpidio Oscar Benitez Nara, Osiris Canciglieri Junior, Lisianne Brittes Benitez
Summary: This article aims to develop criteria for evaluating sustainable suppliers in civil construction and fill the research gap in the Brazilian context. Through literature review and field research, the study identifies key criteria for sustainable construction certifications, analyzes parameters related to supplier selection, and provides insights for construction companies in choosing sustainable suppliers. The results contribute to improving sustainability performance in the construction industry and promoting greater interaction in the green supply chain.
Article
Management
Jones Luis Schaefer, Paulo Roberto Tardio, Ismael Cristofer Baierle, Elpidio Oscar Benitez Nara
Summary: This article proposes a method called Gain Information Artificial Neural Network (GIANN) to optimize the number of variables for assessing the competitiveness and operational performance of Small and Medium-sized Enterprises. The GIANN method combines Multi-attribute Utility Theory with Entropy and Information Gain concepts and computational modeling through Multilayer Perceptron Artificial Neural Network. The validation of GIANN through a survey of managers of Small and Medium-sized Enterprises in Southern Brazil shows that it effectively reduces the number of variables to be monitored, facilitating the management of Small and Medium-sized Enterprises.
ADMINISTRATIVE SCIENCES
(2023)
Article
Engineering, Industrial
Paulo Roberto Tardio, Jones Luis Schaefer, Elpidio Oscar Benitez Nara, Marcelo Carneiro Goncalves, Izamara Cristina Palheta Dias, Guilherme Brittes Benitez, Andreia de Castro e Silva
Summary: This research examines the impact of integrating lean manufacturing (LM) principles and Industry 4.0 (I4.0) into the product development process (PDP) of manufacturing companies in southern Brazil, with the objective of improving market performance (MP). The study reveals that integrating LM and I4.0 principles in the PDP enhances product development and positively impacts the MP of manufacturing companies. Additionally, I4.0 partially mediates the LM-PDP relationship, while LM partially mediates the I4.0-PDP relationship, highlighting their interdependence rather than one being a prerequisite for the other.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2023)
Article
Economics
Alexandre Arns Steiner, David Gabriel de Barros Franco, Elpidio Oscar Benitez Nara, Maria Teresinha Arns Steiner
Summary: Public works play an important role and it is necessary to establish criteria/indicators for defining their hierarchy. This article presents a methodology to define the hierarchy of engineering works using technical criteria/indicators and the Fuzzy-Delphi technique to determine the weights. The methodology was validated in a case study, proving to be a valuable tool for decision making.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Agronomy
Rosana De Cassia De Souza Schneider, Fernando Sansone De Carvalho, Jorge Andre Ribas Moraes, Elpidio Oscar Benitez Nara
Summary: This study identified biodiesel and bioethanol as the two priority fuels for the development of energy tobacco biofuels through multicriterial analysis and three methods in WebPROA software.
JOURNAL OF AGRICULTURE AND ENVIRONMENT FOR INTERNATIONAL DEVELOPMENT
(2021)
Article
Information Science & Library Science
Jones Luis Schaefer, Julio Cezar Mairesse Siluk, Ismael Cristofer Baierle, Elpidio Oscar Benitez Nara
Summary: This paper aims to point out the scientific development and research density of renewable energy sources, highlighting research opportunities in management, cost/investment studies, systemic diagnosis, and performance evaluation for decision-making in businesses in these areas.
JOURNAL OF DATA AND INFORMATION SCIENCE
(2021)
Article
Engineering, Industrial
Leonardo Moraes Aguiar Lima Dos Santos, Matheus Becker da Costa, Joao Victor Kothe, Guilherme Brittes Benitez, Jones Luis Schaefer, Ismael Cristofer Baierle, Elpidio Oscar Benitez Nara
Summary: This study identifies key and collaborative technologies related to Industry 4.0, and proposes five collaborative networks with distinct goals. This will help managers improve their focus on priorities regarding the implementation of Industry 4.0 technologies.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2021)
Article
Management
Ismael Cristofer Baierle, Jones Luis Schaefer, Miguel Afonso Sellitto, Leandro Pinto Fava, Joao Carlos Furtado, Elpidio Oscar Benitez Nara
INTERNATIONAL JOURNAL OF STRATEGIC PROPERTY MANAGEMENT
(2020)
Article
Business
Jaqueline de Moraes, Jones Luis Schaefer, Jacques Nelson Corleta Schreiber, Johanna Dreher Thomas, Elpidio Oscar Benitez Nara
JOURNAL OF BUSINESS & INDUSTRIAL MARKETING
(2020)
Article
Information Science & Library Science
Elpidio Oscar Benitez Nara, Jones Luis Schaefer, Jaqueline de Moraes, Leonel Pablo Carvalho Tedesco, Joao Carlos Furtado, Ismael Cristofer Baierle
REVISTA ESPANOLA DE DOCUMENTACION CIENTIFICA
(2019)
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.
