Article
Agricultural Engineering
Romulo Henrique Gomes de Jesus, Murillo Vetroni Barros, Rodrigo Salvador, Jovani Taveira de Souza, Cassiano Moro Piekarski, Antonio Carlos de Francisco
Summary: This paper aims to build a model using an agglomerative hierarchical algorithm, multicriteria analysis, and GIS to identify opportunities for strategic partnerships based on geographic coordinates and raw material supply volume. The model was applied in a case study in southern Brazil, showing potential for establishing strategic partnerships and selecting biodigester locations. The results of this study could be valuable for utilizing the model in other regions, with the flexibility to incorporate additional criteria and conditions based on user needs.
BIOMASS & BIOENERGY
(2021)
Article
Energy & Fuels
Bhaba R. Sarker, Bingqing Wu, Krishna P. Paudel
Summary: This paper focuses on the biomass transportation and conversion network for syngas production from different feedstocks. A mixed-integer, non-linear programming cost model is developed to minimize constrained costs and find optimal solutions for reactor and condenser locations. A new algorithm is proposed to search for alternatives between sub-problems, and convergence to optimal or sub-optimal solutions is verified through numerical experiments with real-world parameters.
BIOENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Bingchao Zhao, Han Wang, Zhihao Huang, Qianqian Sun
Summary: This research provides an automated Multi-Criteria Decision Making (MCDM) technique with geographical information system (GIS) to solve the intricate nature of location identification and prioritization difficulty caused by the availability of numerous indicators, such as economic and environmental technical, social, and risk criteria. The F-TOPSIS outperforms the other methods with the highest performance ratio of 98.78% when compared to others.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Biotechnology & Applied Microbiology
Laura Vieira Maia de Sousa, Electo Eduardo Silva Lora, Fabio Cordeiro de Lisboa, Fernando Bruno Dovichi Filho, Oscar Almazan del Olmo
Summary: This article presents a holistic analysis of the energy use of various waste sources in Brazil, including agricultural and forestry waste, animal excreta, urban solid waste and sewage, waste from the pulp and paper industry, and charcoal. The study reveals the theoretical and technical potential of harnessing bioenergy from these sources, indicating that Brazil could potentially achieve an installed power of around 75 GW. This article is of great importance for exploring the bioenergy potential in Brazil.
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR
(2023)
Article
Green & Sustainable Science & Technology
Andrew Welfle, Mirjam Roder
Summary: The demand for biomass resources is growing due to the increasing focus on bioenergy in energy strategies. Sustainability is a crucial aspect of large-scale bioenergy, and a new sustainability mapping framework (BSIM) is introduced to assess the sustainability performance of biomass resources, supply chains, technologies, and value chains. The research finds that the sustainability of bioenergy covers a wide range of issues beyond those prioritized in legislation, and mapping sustainability is a valuable tool for identifying risks and benefits and taking targeted actions. Bioenergy is closely linked to the Sustainable Development Goals (SDGs) and can be used as a mechanism for driving sustainable development.
Review
Energy & Fuels
Romulo Henrique Gomes de Jesus, Jovani Taveira de Souza, Fabio Neves Puglieri, Cassiano Moro Piekarski, Antonio Carlos de Francisco
Summary: Bioenergy is a renewable energy source obtained from biomass. The appropriate location for biodigesters is crucial for project viability. Research aims to identify suitable deployment areas and integrate various aspects like economics, environment, and social factors.
Review
Energy & Fuels
Avinash Bharti, Kunwar Paritosh, Venkata Ravibabu Mandla, Aakash Chawade, Vivekanand Vivekanand
Summary: Agricultural residue is a valuable resource for energy production, particularly for power generation. The use of satellite data and GIS technology can enhance the assessment and utilization of biomass, improving the efficiency of bioenergy generation.
Article
Engineering, Multidisciplinary
Chawannat Jaroenkhasemmeesuk, Nakorn Tippayawong, Sirivatch Shimpalee, Derek B. Ingham, Mohammed Pourkashanian
Summary: The successful use of process modeling and simulation in fast pyrolysis plants has become essential in their design and operation. This study proposes an expanded pyrolysis simulation model for lignocellulosic biomass, which predicts the yield for both slow and fast pyrolysis processes and shows a significant correlation with experimental results. The simulation model is proven to be reliable in predicting pyrolysis yields and product composition.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Review
Environmental Sciences
Sawar Khan, Ayesha Nisar, Bo Wu, Qi-Li Zhu, Yan-Wei Wang, Guo-Quan Hu, Ming-xiong He
Summary: Pakistan is a developing country facing serious economic and energy challenges, with a rapidly growing population. The country's energy demand is increasing, while its indigenous fossil fuel resources are depleting. To meet its energy needs, Pakistan needs to explore alternative energy production methods, with biomass being a promising option. However, there are significant challenges to overcome for a developing country like Pakistan.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Energy & Fuels
Julio Manuel de Luis-Ruiz, Juan Carcedo-Haya, Raul Pereda-Garcia, Pablo Castro-Alonso, Ruben Perez-Alvarez
Summary: This research proposes a methodological approach using Geographic Information Systems to detect and evaluate the most suitable locations for installing renewable energy facilities. The approach employs multi-criteria analysis to assess large areas of land based on ten criteria. The proposed methodology is more consistent, reliable, objective, and based on logical criteria compared to traditional methods.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Frazer Musonda, Markus Millinger, Daniela Thran
Summary: The study found that deploying biomass across different sectors of the German bioeconomy can achieve significant greenhouse gas emission reductions, compared to exclusively using biomass resources for bioenergy and biofuels.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Environmental Sciences
Samuel De-Graft Quarshie, Xinfeng Xiao, Linlin Zhang
Summary: Heavy metal pollution in ecosystems can inhibit plant growth and have toxic effects on humans. Phytoremediation is an economically viable and environmentally friendly approach to restore HM-polluted environments. This paper reviews techniques and mechanisms of phytoremediation, and discusses how supporting phytoremediation with additives can improve efficiency. Additionally, strategies for processing harvested biomass through thermochemical methods to produce energy and biofuels are provided to reduce operating costs and make the technology commercially viable.
WATER AIR AND SOIL POLLUTION
(2021)
Article
Microbiology
Pedro Beschoren da Costa, Gian Maria Niccolo Benucci, Ming-Yi Chou, Judson Van Wyk, Morgane Chretien, Gregory Bonito
Summary: This study investigates the impact of soil and plant genotype on the root microbiome and biomass of Switchgrass. The results show that soil origin significantly affects microbial diversity, while the influence of plant genotype is minimal. There are interactions between soil and genotype, and several fungal and bacterial predictors of plant biomass are identified.
Article
Energy & Fuels
Juan Carlos Valverde, Dagoberto Arias, Roel Campos, Charlyn Masis, Maria Fernanda Jimenez, Laura Brenes
Summary: The aim of this study was to determine the optimal size and location of an electricity generation plant using forest and agro-industrial biomass in the northern zone of Costa Rica. The researchers analyzed the characteristics of different biomass residues and identified twelve potential installation sites based on cultivation areas, roads, and protected areas. The study found that tree species residues have a higher calorific power compared to agro-industrial residues, and the southeast area was determined to be the best location for the power plant due to biomass availability and optimal environmental conditions.
BIOENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Krzysztof Gaska, Agnieszka Generowicz, Pawel Oclon, Slawomir Stelmach
Summary: The paper introduces a methodology for analyzing the impact of waste management systems on the environment based on the environmental quality index. By comparing the environmental quality index of different location variants, the method allows for determining the most environmentally favorable location.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Geography
Carolina Perpina Castillo, Sjoerdje van Heerden, Ricardo Barranco, Chris Jacobs-Crisioni, Mert Kompil, Andrius Kucas, Jean Philippe Aurambout, Filipe Batista e Silva, Carlo Lavalle
Summary: This study presents a quantitative analysis of the interactions and territorial disparities between urban and rural areas in the EU. It examines various societal factors using indicators computed with the latest and highest spatial resolution data. The study shows that rural and remote areas generally have fewer territorial assets compared to more urbanized areas, with significant regional variations. It provides statistical and spatial assessments to assist decision-making processes, and concludes with policy recommendations based on important outcomes.
REGIONAL SCIENCE POLICY AND PRACTICE
(2023)
Article
Computer Science, Artificial Intelligence
Jesus Aguila-Leon, Carlos Vargas-Salgado, Cristian Chinas-Palaciosa, Dacil Diaz-Bello
Summary: This study proposes a Maximum Power Point Tracking controller based on the Grey Wolf Optimization algorithm, which outperforms traditional techniques in various test scenarios, with higher output power, efficiency, and faster response time.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Energy & Fuels
Mattia De Rosa, Vincenzo Bianco, Henrik Barth, Patricia Pereira da Silva, Carlos Vargas Salgado, Fabiano Pallonetto
Summary: More than half of the world population live in urban settlements, which contribute significantly to energy consumption and carbon emissions. Achieving a more sustainable urban environment requires a paradigm shift in designing and managing cities. Innovative technologies and strategies are needed to reduce energy consumption and carbon emissions, and comprehensive plans that encompass technical, social, and economic dimensions are necessary. This article focuses on the sustainable energy transition in cities, specifically in the building and transportation sectors, and provides insights on supporting mechanisms and innovative management strategies.
Article
Construction & Building Technology
Vicente Leon-Martinez, Joaquin Montanana-Romeu, Elisa Penalvo-Lopez, Manuel A. A. Grana-Lopez, Ivan Valencia-Salazar
Summary: This article describes the electric power calculator (EPC) software for simulating and analyzing electrical networks at the industrial frequency, providing the values of voltages, currents, and powers in each subsystem. The software applies Kirchhoff's laws for calculating voltages and currents in phasor notation, and obtains powers through the components of the apparent power vector. The correctness of the results was verified by comparing them with measurements from Multisim commercial software and Fluke 435 analyzer, showing that EPC provides accurate measurements in all network subsystems simultaneously.
Article
Automation & Control Systems
Yeiner Arias-Esquivel, Roberto Cardenas, Matias Urrutia, Matias Diaz, Luca Tarisciotti, Jon C. Clare
Summary: The modular multilevel converter is a suitable choice for high-power, medium-voltage drive applications due to its modularity and scalability. However, its control is complex and involves several tightly-coupled circulating current feedback loops implemented using single-input single-output design tools. This study proposes the use of continuous control set model predictive control to consider cross-coupling and interactions between the state variables, as well as system constraints. The proposed controller is experimentally validated and tested on an 18-cell MMC prototype driving a cage machine.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Claudio Burgos-Mellado, Claudio Zuniga-Bauerle, Diego Munoz-Carpintero, Yeiner Arias-Esquivel, Roberto Cardenas-Dobson, Tomislav Dragicevic, Felipe Donoso, Alan Watson
Summary: Implementing control schemes for Modular Multilevel Converters (M2Cs) involves cyber and physical aspects, resulting in a Cyber-Physical System (CPS). This article focuses on False Data Injection Attacks (FDIAs) on M2Cs, where the control system receives corrupted data due to illegitimate intrusions. It proposes a reinforcement learning-based method to expose the deficiencies of existing FDIA detectors and provides valuable information to enhance the detectors' performance.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Yeiner Arias-Esquivel, Roberto Cardenas, Luca Tarisciotti, Matias Diaz, Andres Mora
Summary: This article presents a new enhanced single-stage two-step continuous control set model predictive control algorithm for modular multilevel converters operating with variable output frequency. The proposed algorithm allows for feed-forward compensation of perturbations and implements limitations on current and voltage to avoid overmodulation and overcurrents. Experimental results demonstrate that the algorithm reduces required circulating currents at low-frequency operation and improves efficiency and reduces total harmonic distortion in output currents.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Adrian Rivera-Marin, David Alfonso-Solar, Carlos Vargas-Salgado, Sileno Catala-Mortes
Summary: This study aims to develop a methodology for estimating decarbonization potential and applies it to La Carrasca neighborhood in Valencia City, Spain. The study selects a smaller area to focus on overlooked details and uses various tools for analysis. The results show that the decarbonization potential of the neighborhood is 7488 tons of CO2, representing 11% of its overall emissions. However, achieving complete decarbonization requires more efforts and policy changes. Overall, the study highlights the importance of considering carbon footprint and utilizing a comprehensive methodology to estimate decarbonization potential.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Analytical
Eduardo Ariza, Antonio Correcher, Carlos Vargas-Salgado
Summary: This study presents a novel model-based fault diagnosis algorithm for commercial hydrogen fuel cells, which accurately detects and isolates the most common faults by combining virtual and real sensor data fusion. The algorithm successfully identified and isolated 14 distinct faults, demonstrating its effectiveness in enhancing reliability and preventing performance deterioration or system shutdown.
Article
Construction & Building Technology
Ivan Cuesta-Fernandez, Carlos Vargas-Salgado, David Alfonso-Solar, Tomas Gomez-Navarro
Summary: Hundreds of cities worldwide are aiming to achieve decarbonization or carbon neutrality by 2030, 2050, or earlier. This is particularly challenging for the dense, compact cities in the European Mediterranean region. To increase energy self-sufficiency, Mediterranean cities are looking to scale up rooftop PV production and utilize ground-mounted plants in their surroundings. This paper proposes an alternative approach of energy exchange between cities and their metropolitan areas, demonstrated through a case study of Valencia, Spain. The results show the potential of rooftop PV in significantly increasing the PV coverage rate and may inspire the development of innovative urban-metropolitan energy exchange models.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Computer Science, Information Systems
Mauricio Espinoza, Matias Diaz, Enrique Espina, Andres Mora, Arturo Letelier, Felipe Donoso, Roberto Cardenas
Summary: This paper analyzes the influence of using a variable DC port voltage in a machine-side MMC by implementing a closed-loop approach, ensuring a constant voltage fluctuation in the capacitors of the MMC during the whole operating range. The effectiveness of the proposed control scheme is demonstrated through simulation studies and experimental validation tests conducted using a 7.5 kW experimental prototype composed of an induction machine fed by an MMC with 18 half-bridge cells.
Article
Environmental Sciences
Vicente Leon-Martinez, Elisa Penalvo-Lopez, Joaquin Montanana-Romeu, Clara Andrada-Monros, Laura Molina-Canamero
Summary: This study analyzes the load losses caused by non-linear loads on distribution transformers. The improved load loss expressions were used to calculate the energy losses and CO2 emissions using the Transformer Loss Calculator (TLC) software. The experimental results show that the losses and emissions obtained from the improved load loss expressions could be more than 5% higher than those determined by the original standard expressions.
Article
Chemistry, Analytical
Alex Aduna-Sanchez, Antonio Correcher, David Alfonso-Solar, Carlos Vargas-Salgado
Summary: The measurement of heat stress indices is increasingly important due to global warming. Monitoring and assessing these indices are necessary to ensure the safety and comfort of individuals. This study presents the results of a low-cost monitoring system prototype for measuring heat stress indices, which proved to be reliable and cost-effective.
Article
Automation & Control Systems
Cristobal Gallardo, Claudio Burgos-Mellado, Diego Munoz-Carpintero, Yeiner Arias-Esquivel, Anant Kumar Verma, Alex Navas-Fonseca, Roberto Cardenas-Dobson, Tomislav Dragicevic
Summary: This article proposes an FDIA detector based on the reinforcement learning technique to detect sophisticated FDIAs targeting the MMC control system. The performance of the proposed RL-based FDIA detector is verified via hardware-in-the-loop studies, showing its effectiveness in detecting sophisticated attack sequences affecting the MMC control system.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
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.
