Article
Engineering, Multidisciplinary
A. S. A. Mohamed, Hussein M. Maghrabie
Summary: By 2035, Egypt aims to generate 22% of its electricity from photovoltaic power plants. This study evaluates the techno-economic feasibility of the large-scale grid-connected photovoltaic project in Benban Solar Park, taking into account factors such as greenhouse gas emissions reduction and operation and maintenance costs. The results show that the project is economically feasible and will significantly reduce greenhouse gas emissions.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Thermodynamics
Marco Marchese, Simone Chesta, Massimo Santarelli, Andrea Lanzini
Summary: In this study, a techno-economic analysis was conducted to evaluate the production costs of Fischer-Tropsch syncrude and waxes from digestate and lignocellulosic biomass. The results showed that utilizing digestate for production yielded more advantages than using wood biomass. The highest plant efficiency achieved was 56.3%, with a minimum wax production cost of 3.04 (sic)/kg(wax).
Article
Green & Sustainable Science & Technology
Junho Choi, Jun Kim
Summary: Old residential buildings are increasingly being renovated worldwide to solve the problem of aging. Deep renovation methods, such as horizontal expansion and vertical extension, are currently used, but they pose significant technical challenges. This study aimed to address the technical and financial aspects of deep renovation through various research methods, including a techno-economic feasibility study framework, evaluation of apartment examples, and expert interviews.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Multidisciplinary
Remi Chauvy, Damien Verdonck, Lionel Dubois, Diane Thomas, Guy De Weireld
Summary: This study simulated an integrated process of CO2 capture and conversion to SNG, showing the benefits of integrating steps in reducing CO2 emissions and fossil depletion contributions. However, it also resulted in a higher cost, requiring significant subsidies and incentives in order to compete with conventional energy prices.
JOURNAL OF CO2 UTILIZATION
(2021)
Article
Multidisciplinary Sciences
Ercan M. Dede, Chi Zhang, Qianying Wu, Neda Seyedhassantehrani, Muhammad Shattique, Souvik Roy, James W. Palko, Sreekant Narumanchi, Bidzina Kekelia, Sougata Hazra, Kenneth E. Goodsonn, Roman Giglio, Mehdi Asheghi
Summary: An estimated 70% of the electricity in the United States currently passes through power conversion electronics, and this percentage is projected to increase eventually to up to 100%. At a global scale, wide adoption of highly efficient power electronics technologies is anticipated to have a major impact on worldwide energy consumption.
Article
Multidisciplinary Sciences
Ercan M. Dede, Chi Zhang, Qianying Wu, Neda Seyedhassantehrani, Muhammad Shattique, Souvik Roy, James W. Palko, Sreekant Narumanchi, Bidzina Kekelia, Sougata Hazra, Kenneth E. Goodson, Roman Giglio, Mehdi Asheghi
Summary: Approximately 70% of the electricity in the United States goes through power conversion electronics, and it is expected to reach 100% in the future. The global adoption of highly efficient power electronics technologies is anticipated to have a significant impact on worldwide energy consumption. This article discusses the importance of thermal management for semiconductor devices in achieving massive energy savings, specifically through integrated microscale cooling for high-heat-flux, wide-bandgap (WBG) semiconductor devices. Additionally, a techno-economic analysis is presented to assess the performance, manufacturing approaches, fabrication costs, and potential barriers to the adoption of this cooling technology.
Article
Engineering, Environmental
D. Hospital-Benito, J. Lemus, C. Moya, R. Santiago, V. R. Ferro, J. Palomar
Summary: An economic assessment of CO2 chemical capture processes using Ionic Liquids (ILs) was conducted, with [P-2228] [CNPyr] identified as the most cost-effective solvent. Operating at vacuum pressure for IL regeneration was found to incur significant costs.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
A. A. Mana, A. Allouhi, K. Ouazzani, A. Jamil
Summary: Biomass power generation in rural areas of Morocco presents a significant opportunity to achieve rural sustainability and provide stable electricity supply. The financial model of the project shows competitive costs compared to solar and fossil resources. Performance variables depend strongly on flue gas temperature, and the LCOE is highly sensitive to feedstock price and finance rates.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Steffen Fahr, Alexander Mitsos, Dominik Bongartz
Summary: Heat integration can be optimized in flowsheet by including the minimum utility demand in the objective and constraints. By using reduced-space formulations, heat integration can be achieved with fewer or even zero additional variables, leading to significant reduction in solution time.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
A. Aui, Y. Wang, M. Mba-Wright
Summary: The study found that the Minimum Fuel Selling Prices (MFSP) of cellulosic ethanol ranged from $0.90-6.00/gallon with an average of $2.65/gallon, comparable to retail gasoline prices in the U.S. Economic viability was influenced by capital cost, input, and output capacity. Government policies such as financial incentives and assistance programs are crucial for improving the economic viability of cellulosic ethanol.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Haojie Luo, Sunliang Cao, Vivien Lin Lu
Summary: This study investigates the feasibility of utilizing wave energy converters and offshore wind turbines to support coastal zero-energy buildings. The results indicate that the integrated renewable energy system can significantly reduce greenhouse gas emissions and achieve economic benefits.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Thermodynamics
Seyed Mojtaba Hosseinnia, Mikhail Sorin
Summary: A two-step approach for optimum integration of solar assisted ground source heat pump in buildings is proposed. The first step involves energy targeting and determining optimum equipment size based on dynamic pinch analysis, resulting in multiple energy efficient daily design candidates. In the second step, a final design working for the whole year is selected by computing the total annual cost. The importance of electricity cost in choosing the overall year integration design is illustrated in the context of the Canadian market.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Tanveer Ahmad, Dongdong Zhang
Summary: The study integrated renewables and conducted techno-economic feasibility analysis using both utility grid-connected and islanded modes to meet community and commercial load demand, emphasizing the importance of renewable energy sources and cost considerations. The analysis involved optimization, simulation, and sensitivity analysis to determine the best approach for meeting large-scale urban and rural needs efficiently and effectively, with sensitivity case-2 providing the most favorable results for further consideration.
Article
Construction & Building Technology
Silvia Caprili, Francesca Mattei, Walter Salvatore, Cristiano Ascanio, Gianbruno Luvara
Summary: Dual-Phase (DP) steel reinforcing bars are a valid alternative to traditional TempCore, with good mechanical properties and improved performance under corrosive conditions. This paper analyzes the industrial feasibility of producing DP rebars and conducts a techno-economic and environmental analysis of using DP rebars in reinforced concrete constructions.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Energy & Fuels
Barun K. Das, Majed A. Alotaibi, Pronob Das, M. S. Islam, Sajal K. Das, Md Alamgir Hossain
Summary: This study thoroughly analyzes the economic and environmental benefits of standalone and grid integration hybrid energy systems using the HOMER model. Results show that standalone systems may have lower costs in certain regions, while grid-connected systems have the potential for greater financial and environmental benefits.
ENERGY STRATEGY REVIEWS
(2021)
Article
Computer Science, Interdisciplinary Applications
Nohan Joemon, Melpakkam Pradeep, Lokesh K. Rajulapati, Raghunathan Rengaswamy
Summary: This paper introduces a smoothing-based approach for discovering partial differential equations from noisy measurements. The method is data-driven and improves performance by incorporating first principles knowledge. The effectiveness of the algorithm is demonstrated in a real system using a new benchmark metric.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhibin Lu, Yimeng Li, Chang He, Jingzheng Ren, Haoshui Yu, Bingjian Zhang, Qinglin Chen
Summary: This study proposes a new inverse design method using a physics-informed neural network to identify optimal heat sink designs. A hybrid PINN accurately approximates the governing equations of heat transfer processes, and a surrogate model is constructed for integration with optimization algorithms. The proposed method accelerates the search for Pareto-optimal designs and reduces search time. Comparing different scenarios facilitates real-time observation of multiphysics field changes, improving understanding of optimal designs.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Luca Gasparini, Antonio Benedetti, Giulia Marchese, Connor Gallagher, Pierantonio Facco, Massimiliano Barolo
Summary: In this paper, a method for batch process monitoring with limited historical data is investigated. The methodology utilizes machine learning algorithms to generate virtual data and combines it with real data to build a process monitoring model. Automatic procedures are developed to optimize parameters, and indicators and metrics are proposed to assist virtual data generation activities.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Julia Jimenez-Romero, Adisa Azapagic, Robin Smith
Summary: Energy transition is a significant and complex challenge for the industry, and developing cost-effective solutions for synthesizing utility systems is crucial. The research combines mathematical formulation with realistic configurations and conditions to represent utility systems and provides a basis for synthesizing energy-efficient utility systems for the future.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Samuel Adeyemo, Debangsu Bhattacharyya
Summary: This work develops algorithms for estimating sparse interpretable data-driven models. The algorithms select the optimal basis functions and estimate the model parameters using Bayesian inferencing. The algorithms estimate the noise characteristics and model parameters simultaneously. The algorithms also exploit prior analysis and special properties for efficient pruning, and use a modified Akaike information criterion for model selection.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Abbasali Jafari-Nodoushan, Mohammad Hossein Dehghani Sadrabadi, Maryam Nili, Ahmad Makui, Rouzbeh Ghousi
Summary: This study presents a three-objective model to design a forward supply chain network considering interrelated operational and disruptive risks. Several strategies are implemented to cope with these risks, and a joint pricing strategy is used to enhance the profitability of the supply chain. The results show that managing risks and uncertainties simultaneously can improve sustainability goals and reduce associated costs.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
T. A. Espaas, V. S. Vassiliadis
Summary: This paper extends the concept of higher-order search directions in interior point methods to convex nonlinear programming. It provides the mathematical framework for computing higher-order derivatives and highlights simplified computation for special cases. The paper also introduces a dimensional lifting procedure for transforming general nonlinear problems into more efficient forms and describes the algorithmic development required to employ these higher-order search directions.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
David A. Linan, Gabriel Contreras-Zarazua, Eduardo Sanhez-Ramirez, Juan Gabriel Segovia-Hernandez, Luis A. Ricardez-Sandoval
Summary: This study proposes a parallel hybrid algorithm for optimal design of process flowsheets, which combines stochastic method with deterministic algorithm to achieve faster and improved convergence.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiaoyong Lin, Zihui Li, Yongming Han, Zhiwei Chen, Zhiqiang Geng
Summary: A novel GAT-LSTM model is proposed for the production prediction and energy structure optimization of propylene production processes. It outperforms other models and can provide the optimal raw material scheme for actual production processes.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangoz, Ali Mesbah, Fani Boukouvala, Fernando Lima, Antonio del Rio Chanona, Christos Georgakis
Summary: This paper provides a concise perspective on the potential of machine learning in the PSE domain, based on discussions and talks during the FIPSE 5 conference. It highlights the need for domain-specific techniques in molecular/material design, data analytics, optimization, and control.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hesam Hassanpour, Prashant Mhaskar, Brandon Corbett
Summary: This work addresses the problem of designing an offset-free implementable reinforcement learning (RL) controller for nonlinear processes. A pre-training strategy is proposed to provide a secure platform for online implementations of the RL controller. The efficacy of the proposed approach is demonstrated through simulations on a chemical reactor example.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hunggi Lee, Donghyeon Lee, Jaewook Lee, Dongil Shin
Summary: This study introduces an innovative framework that utilizes a limited number of sensors to detect chemical leaks early, mitigating the risk of major industrial disasters, and providing faster and higher-resolution results.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Sibel Uygun Batgi, Ibrahim Dincer
Summary: This study examines the environmental impacts of three alternative hydrogen-generating processes and determines the best environmentally friendly option for hydrogen production by comparing different impact categories. The results show that the solar-based HyS cycle options perform the best in terms of global warming potential, abiotic depletion, acidification potential, ozone layer depletion, and human toxicity potential.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
LaGrande Gunnell, Bethany Nicholson, John D. Hedengren
Summary: A review of current trends in scientific computing shows a shift towards open-source and higher-level programming languages like Python, with increasing career opportunities in the next decade. Open-source modeling tools contribute to innovation in equation-based and data-driven applications, and the integration of data-driven and principles-based tools is emerging. New compute hardware, productivity software, and training resources have the potential to significantly accelerate progress, but long-term support mechanisms are still necessary.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Daniel Cristiu, Federico d'Amore, Fabrizio Bezzo
Summary: This study presents a multi-objective mixed integer linear programming framework to optimize the supply chain for mixed plastic waste in Northern Italy. Results offer quantitative insights into economic and environmental performance, balancing trade-offs between maximizing gross profit and minimizing greenhouse gas emissions.
COMPUTERS & CHEMICAL ENGINEERING
(2024)