Article
Energy & Fuels
Sangjib Kwon, Hyungbae Gil, Seoin Baek, Heetae Kim
Summary: This research investigates an optimized renewable-energy-based hybrid system to provide sufficient power to private educational institutions in South Korea. The study finds that adopting a hybrid renewable energy system is effective in reducing power consumption for these institutions, but it may lead to a significant increase in costs for stand-alone operations.
Article
Construction & Building Technology
Meng Wang, Guoyan Zhao, Weizhang Liang, Ning Wang
Summary: In the field of rock engineering, predicting the uniaxial compressive strength (UCS) is essential due to the difficulty in obtaining high-quality rock core samples. This study employed random forest models and two optimizers for UCS prediction, utilizing four input indicators. The proposed hybrid models showed good performance in predicting the UCS of rocks, with the SSA-RF model identified as the best model.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Engineering, Electrical & Electronic
Ankit Kumar Sharma, Devendra Kumar Doda, Bhanu Pratap Soni, Ramesh C. Bansal, Dheeraj Kumar Palwalia
Summary: This article explores the integration of on-grid renewable energy with battery storage to improve consumers' comfort. By utilizing demand response programs and on-site generation through renewable energy integration, it proposes a comprehensive solution to balance power supply and demand while ensuring consumer comfort and providing pollution-free energy. Simulation results demonstrate that this approach significantly enhances consumer satisfaction and lowers energy costs in the absence of demand response programs.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Automation & Control Systems
Ying Hu, Yong Zhang, Dunwei Gong
Summary: The article explores a fuzzy multiobjective FS method called PSOMOFS, which utilizes particle swarm optimization and introduces fuzzy dominance relationship and fuzzy crowding distance measure to solve the feature selection problem with fuzzy cost. Experimental results demonstrate that the proposed method can achieve feature sets with superior performances in approximation, diversity, and feature cost.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Green & Sustainable Science & Technology
Yan Wu, Syed Mahfuzul Aziz, Mohammed H. Haque
Summary: This study proposes a novel modeling approach to minimize the net annual energy cost of a university campus providing EV charging service. Results show that using this method can reduce peak demand and net annual energy cost, with the reduction increasing with EV penetration.
Article
Thermodynamics
Suzan Abdelhady
Summary: The tourism sector plays a crucial role in national income, and the integration of renewable energy resources promotes sustainable and environmentally-friendly tourism. Egypt's Vision 2030 emphasizes the importance of ensuring a reliable supply and efficient use of clean energy for the sustainable development of the tourism sector. Net-zero energy buildings (NZEBs) are a promising solution in reducing energy consumption and increasing the utilization of renewable energy. This study presents an optimization analysis of a hotel's grid-connected hybrid renewable energy system (HRES), demonstrating its technical, economic, and environmental benefits and providing guidance for the practical application of NZEBs in Egypt and similar regions.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Lifei Zhang, Jingyu Yu, Qingyu Shi, Quan Kong
Summary: This study evaluates the economic benefits of rooftop distributed photovoltaic projects in the whole county of China, considering multiple factors. The results show that the self-use ratio of power generation greatly impacts the economic benefits of the projects, and an optimization model is proposed. However, the economic feasibility of the projects on a county scale is found to be not financially viable. Industrial and commercial buildings have the highest installation proportion, while residential buildings have the lowest.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Multidisciplinary
Mehmet Akif Gormez, Md Ehsanul Haque, Yilmaz Sozer
Summary: This article focuses on reducing the battery size requirements of electric buses through battery charging and speed profile optimization. An optimization algorithm is developed to determine the optimal driving cycle and charging time at each bus stop, and case studies have verified the effectiveness of this approach in reducing energy consumption and battery size requirements of electric buses.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Energy & Fuels
Ioan Cristian Hoarca, Nicu Bizon, Ioan Sorin Sorlei, Phatiphat Thounthong
Summary: A comparative sizing design for renewable power systems was developed using HOMER and iHOGA simulators, and a detailed comparative analysis of the solutions obtained from both simulators was presented. The study showed that the design implemented in iHOGA resulted in a higher share of renewable energy, lower carbon dioxide emissions, and lower operating costs compared to HOMER. This indicates that the iHOGA design is more efficient and practical for hybrid renewable power systems.
Article
Energy & Fuels
Helder R. O. Rocha, Rodrigo Fiorotti, Danilo M. Louzada, Leonardo J. Silvestre, Wanderley C. Celeste, Jair A. L. Silva
Summary: This paper presents a solution to the energy planning problem in buildings by implementing the net Zero Energy cost Building (nZEcB) concept, using Artificial Intelligence (AI) techniques. The study shows the feasibility and effectiveness of using AI techniques to design a distributed generation system for nZEcBs more efficiently and economically.
Article
Green & Sustainable Science & Technology
Ahmed Omar, Nehad M. Khattab, Shady H. E. Abdel Aleem
Summary: This study proposes a conversion strategy from conventional educational buildings to net-zero energy buildings, using a case study in Egypt and implementing various retrofitting strategies to reduce energy consumption. By utilizing strategies like lighting and cooling retrofitting, along with integrating a photovoltaic system, the building is able to transition to a more sustainable energy model.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
S. J. W. Klein, E. L. B. Fox
Summary: This study compares the cost and performance of 13 small-scale hydropower projects in multiple countries and highlights the inconsistencies and variances in cost and performance metrics. The study also emphasizes the need for publicly available and user-friendly SHP cost estimation tools with site-specific data.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Seydali Ferahtia, Ali Djeroui, Hegazy Rezk, Azeddine Houari, Samir Zeghlache, Mohamed Machmoum
Summary: This paper introduces an optimal energy management strategy for DC microgrid based on salp swarm algorithm, which addresses various techno-economic challenges associated with integrating multiple power sources and demonstrates superior system efficiency, fuel saving, and power quality.
Article
Chemistry, Analytical
Sundararaj Suganthi, Nagappan Umapathi, Miroslav Mahdal, Manickam Ramachandran
Summary: This study proposes a method based on multi-swarm optimization and tabu search techniques to improve the energy-efficient data gathering in wireless sensor networks. By choosing the optimal path, the network's lifespan and energy efficiency are improved.
Article
Engineering, Multidisciplinary
Mansour Tohidi, Navid Khayat, Abdoulrasoul Telvari
Summary: This study compares the performance of genetic algorithm and particle swarm optimization for determining economically optimal pavement thickness design, with results showing both algorithms significantly reducing design costs, with genetic algorithm outperforming particle swarm optimization in cost savings.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Thermodynamics
Subho Upadhyay, M. P. Sharma
Review
Green & Sustainable Science & Technology
Subho Upadhyay, M. P. Sharma
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2014)
Article
Energy & Fuels
S. Kumar, T. Kaur, M. K. Arora, S. Upadhyay
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2019)
Article
Green & Sustainable Science & Technology
Anurag Chauhan, Subho Upadhyay, Mohd Tauseef Khan, S. M. Suhail Hussain, Taha Selim Ustun
Summary: Sustainable power generation is receiving more attention in light of global warming and climate change concerns. This paper discusses a Solar Photovoltaic/Diesel Generator/Battery-based hybrid system for meeting the electrical energy demand of a remote location in India, with the minimum cost of energy being optimized at 0.225 $/kWh using a Biogeography-based Optimization algorithm.
Proceedings Paper
Energy & Fuels
Subho Upadhyay, M. P. Sharma, Manoj Kumar, Akash Singh Chaudhary
2018 8TH IEEE INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (IICPE)
(2018)
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.
