Article
Thermodynamics
Bony John, James Varghese
Summary: This study proposes a methodology for the optimum sizing of hydrokinetic turbines (HKT) based hybrid energy systems, including HKT-DG-battery system and HKT-PV-battery system, identifying design space through MATLAB algorithm and optimizing economic criteria to select appropriate system configurations.
Article
Computer Science, Hardware & Architecture
Marwa Haddad, Georges Da Costa, Jean-Marc Nicod, Marie-Cecile Pera, Jean-Marc Pierson, Veronika Rehn-Sonigo, Patricia Stolf, Christophe Varnier
Summary: This work introduces a two-step methodology for designing and sizing a data center powered solely by local renewable energy sources. The first step involves determining the minimum number of servers needed to handle the IT workload, while the second step focuses on defining the electrical infrastructure using wind turbines and photovoltaic panels as primary sources, with batteries and a hydrogen system added for energy storage. Real IT workload traces and meteorological data are used in experiments to demonstrate the methodology for decision makers.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2021)
Article
Mathematics, Applied
Teodora Dan, Andrea Lodi, Patrice Marcotte
Summary: The researchers designed an algorithmic framework based on branch-and-bound algorithm to handle mathematical programs with equilibrium constraints (MPECs) involving both integer and continuous variables. The framework was applied to a specific instance of MPEC, a competitive facility location problem taking into account the queueing process that determines the equilibrium assignment of users to open facilities, and was computationally evaluated.
SIAM JOURNAL ON OPTIMIZATION
(2021)
Article
Management
Oeykue Naz Attila, Agostinho Agra, Kerem Akartunah, Ashwin Arulselvan
Summary: This paper investigates a lot-sizing problem with parameter uncertainties on demands and returns, focusing on remanufacturing. A min-max decomposition approach and two novel extended reformulations are proposed, showing superior performance in comparison with the standard formulation. The impact of problem parameters on computational performance is also discussed.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Rahmat Khezri, Amin Mahmoudi, Mohammed Haque
Summary: This study proposes a novel demand side management approach to optimize the sizing of solar PV, wind turbine, and battery storage for a standalone household. By utilizing fuzzy logic and artificial neural network techniques, efficient load management and cost reduction in electricity are achieved.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Ahmed Tijjani Dahiru, Chee Wei Tan, Sani Salisu, Kwan Yiew Lau
Summary: This paper proposes a new method to simplify the multi-configurational sizing of residential nanogrids in order to achieve lower energy costs and increased supply availability. By using a multi-stage linear programming approach, optimal sizes of nanogrid components can be obtained, resulting in significant cost reductions and performance improvements.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Md Fatin Ishraque, Sk A. Shezan, Md Sohel Rana, S. M. Muyeen, Akhlaqur Rahman, Liton Chandra Paul, Md Shafiul Islam
Summary: This study evaluated the optimized design of an off-grid hybrid microgrid, analyzing the impact of different load dispatch algorithms on the microgrid and determining the optimal sizing of equipment through analysis of voltage, frequency outputs, and costs. The results showed that under the same load demand and meteorological conditions, load following is the superior dispatch strategy.
Article
Energy & Fuels
Victor M. Garrido-Arevalo, Walter Gil-Gonzalez, Oscar Danilo Montoya, Harold R. Chamorro, Jorge Mirez
Summary: This paper proposes a convex formulation for the optimal integration of PV-STATCOM devices in electrical distribution systems. By relaxation, the hyperbolic relation between the products of the voltage is transformed into a second-order constraint. The simulation results demonstrate the effectiveness of the proposed method and show that PV-STATCOM devices can reduce the annual cost of energy losses in electrical networks more significantly than PV systems alone.
Article
Computer Science, Artificial Intelligence
Mohammad Fathi, Rahmat Khezri, Amirmehdi Yazdani, Amin Mahmoudi
Summary: This study evaluates the performance of four different metaheuristic algorithms for optimal sizing of standalone microgrids in remote areas, comparing economic and operational results, computational time, and optimization convergence. The findings suggest that the differential evolution algorithm is unreliable for solving the optimal sizing problem in the studied standalone microgrids.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Software Engineering
Thomas Kleinert, Veronika Grimm, Martin Schmidt
Summary: The paper investigates MIQP-QP bilevel optimization problems, transforming the lower level to yield an equivalent nonconvex single-level reformulation of the original problem and proposing cutting-plane algorithms based on outer-approximation. These methods are capable of solving bilevel instances with several thousand variables and constraints, outperforming traditional approaches significantly.
MATHEMATICAL PROGRAMMING
(2021)
Article
Energy & Fuels
Fahd A. Alturki, Emad Mahrous Awwad
Summary: The study designed and optimized a standalone hybrid energy system using different optimization algorithms, showing that the hybrid WT/PV/biomass/pump-hydro storage energy system is both environmentally and economically feasible.
Article
Thermodynamics
A. Perna, E. Jannelli, S. Di Micco, F. Romano, M. Minutillo
Summary: Green hydrogen plays a strategic role in decarbonizing maritime transportation. Developing hydrogen supply chains that simplify economic issues and authorization processes is crucial for supporting hydrogen use and exploitation. This paper focuses on the design, sizing, and economic feasibility of a sustainable supply chain for a passenger ferry boat powered by a solar-driven electrolysis system and fuel cell propulsion. Results show the techno-economic feasibility of the proposed hydrogen-based supply chain, with a hydrogen production of 128.7 tons/year, and an attractive profitability index and discounted payback period.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Tamal Chowdhury, Samiul Hasan, Hemal Chowdhury, Abul Hasnat, Ahmad Rashedi, M. R. M. Asyraf, Mohamad Zaki Hassan, Sadiq M. Sait
Summary: This paper proposes a sizing method for a standalone system using the TOPSIS method combined with the AHP method. It finds that the PV/biogas/wind system is the best configuration, with lower costs and emissions and reduced battery requirements.
Review
Green & Sustainable Science & Technology
Saikat Saha, Gaurav Saini, Shubhangi Mishra, Anurag Chauhan, Subho Upadhyay
Summary: This research paper provides a comprehensive review of issues related to the Integrated Renewable Energy System (IRES), including storage options, modeling, design parameters, unit sizing methodologies, and control schemes. It discusses various storage options for catering to the stochastic nature of renewable sources and examines different technical, economical, social, and environmental parameters considered during the design of IRES. The paper describes the states of unit sizing methodologies and investigates control schemes for regulating the power output of intermittent sources. Lastly, it discusses several open challenging issues and their possible solutions regarding the design of IRES.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
Yingzong Liang, Chi Wai Hui, Xianglong Luo, Jianyong Chen, Zhi Yang, Ying Chen
Summary: The proposed equation-based optimization framework provides a comprehensive modeling structure for various thermodynamic cycle design problems, offering efficient and effective solutions for solving thermodynamic cycle and related energy systems optimization problems.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Chemical
P. A. Luppi, L. Braccia, P. G. Rullo, D. A. R. Zumoffen
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2018)
Article
Engineering, Chemical
Lautaro Braccia, Pablo A. Marchetti, Patricio Luppi, David Zumoffen
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2018)
Article
Engineering, Chemical
David Zumoffen, Lautaro Braccia, Patricio Luppi
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2019)
Article
Engineering, Chemical
Agustin Bottari, David A. R. Zumoffen, Alejandro G. Marchetti
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2020)
Article
Engineering, Chemical
P. A. Luppi, L. Braccia, D. Zumoffen
Summary: This work proposes a methodology for defining controlled variables based on principal component analysis and genetic algorithms, considering the trade-off between controllability, interaction, and complexity. The design is based on steady-state information and allows for analysis of control reconfiguration. The proposed design increases the number of sensors to improve system performance and reduces complexity in the reconfiguration process.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Computer Science, Information Systems
Pablo G. Rullo, Lautaro Braccia, Diego Feroldi, David Zumoffen
Summary: The distributed generation paradigm has driven the growth of small and medium-scale renewable generation systems, but the intermittent nature of renewable generation leads to voltage fluctuations that are difficult to manage and deteriorate power quality. This work proposes a systematic strategy based on the PWC theory of the PSE community for the analysis, design, and implementation of voltage regulation controllers in ADNs. The strategy allows for the identification of control structures that optimize hardware implementation and have good dynamic performance.
IEEE LATIN AMERICA TRANSACTIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Sair Rodriguez del Portal, Lautaro Braccia, Patricio Luppi, David Zumoffen
Summary: The study proposes a modeling-on-demand-based multivariable control performance monitoring strategy, addressing challenging topics in the multi input-multi output CPM area and testing the robustness of the approach through dynamic simulations.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Lautaro Braccia, Patricio Luppi, Alexis J. Vallarella, David Zumoffen
Summary: This work presents a new superstructure for simultaneous synthesis of work and heat exchange networks (WHEN). The proposed model explicitly models the identity changes of the process streams, allowing pressure-change streams to act as both low-pressure hot streams and high-pressure cold streams without predefined manipulation routes. By considering all possible thermodynamic paths of the process streams, the novel formulation improves the obtained solution and reduces the computational burden without introducing new variables and constraints. Three case studies with different size and complexity show savings of approximately 1%-7% in total annualized cost.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Proceedings Paper
Computer Science, Software Engineering
Fernando De Marco, Nelson Martins, Pablo Rullo
Summary: This paper presents the application results of the damped Nyquist plot (DNP) in determining the gain and phase compensation of a power system stabilizer (PSS), highlighting the advantages of using the DNP method in conjunction with synthetic system models.
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.
