Article
Thermodynamics
Da Huo, Marcos Santos, Ilias Sarantakos, Markus Resch, Neal Wade, David Greenwood
Summary: Island Microgrids are a solution that can coordinate energy resources, improve reliability, and provide services to the wider system. The battery energy storage system plays a crucial role in managing imbalances and improving reliability. This paper proposes a planning and sizing method that combines reliability assessment and chance-constrained convex optimization to optimize the size of energy storage within an Island Microgrid.
Article
Green & Sustainable Science & Technology
Zhimin Guan, Chunyan Lu, Yiming Li, Jiangjiang Wang
Summary: This paper proposes a chance-constrained programming model for the design and energy dispatch management of a hybrid solar CCHP system considering uncertainties of solar energy and building loads. Uncertain scenarios are generated using Latin hypercube sampling and clustering methods. The model transforms stochastic optimization into deterministic optimization based on these scenarios. A multi-objective optimization model is then established, considering economic, energy, emission, and flexibility performances, and Pareto solutions are obtained using the modified ε-constraint method. A case study validates the proposed model and evaluates the impacts of confidence level on the optimization results.
Article
Computer Science, Artificial Intelligence
Feifan Lin, Xiaojun Zhou, Chaojie Li, Tingwen Huang, Chunhua Yang
Summary: This article presents a fuzzy chance-constrained dynamic optimization method for modeling uncertain and dynamic industrial production processes. Using credibility theory to quantify the fuzzy uncertainty level of constraints, an improved fuzzy simulation technique and a data-driven state transition algorithm based on deep neural networks are proposed to solve the FCCDO problem, achieving stable, global, and robust optimization performance.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Environmental Sciences
Yumin Wang, Guangcan Zhu
Summary: In this study, an inexact left-hand side chance-constrained programming (ILCCP) model was proposed and applied to two water distribution systems to address the uncertainty in chlorine decay process and lower and upper chlorine concentration limits. By using Monte Carlo simulation linked with EPANET software, the response coefficients matrix was represented as random variables with normal probability distribution in the constraints of lower and upper limits. The results showed that the lower bounds of optimal injection mass increased with the rise of probability lever for lower limits, while the upper bounds decreased with the rise of the probability level for upper limits, providing valuable insights for managers to determine chlorine injection mass under uncertain scenarios in more complex water distribution systems.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Energy & Fuels
Mehrdad Gholami, Omkolsoom Shahryari, Navid Rezaei, Hassan Bevrani
Summary: This paper presents a method to estimate the required battery capacity in the design phase of a wind farm based on wind speed data and turbines position. The method considers wake effect, turbulence, and spatial smoothing to estimate the short-term fluctuation of wind farm power. It also presents a method to estimate the optimum battery capacity based on statistical characteristics of wind farm power. Additionally, a new model is presented to estimate the battery lifetime in the case of non-uniform charge/discharge cycles. The numerical results show the effectiveness of the proposed approach in determining the optimum battery capacity.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Xin He, Yik-Chung Wu
Summary: The paper introduces a new optimization methodology, called the set squeezing procedure, for solving chance-constrained programming problems under continuous uncertainty distribution. Through novel analyses of the local structure of the feasible set, the generally intractable chance constraints and unknown convexity are addressed. The set squeezing procedure is proved to converge and local optimality is guaranteed under mild conditions, with efficient algorithms derived for widely used quadratically perturbed constraints.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Remote Sensing
Mahshid Javidsharifi, Hamoun Pourroshanfekr Arabani, Tamas Kerekes, Dezso Sera, Sergiu Viorel Spataru, Josep M. Guerrero
Summary: This paper presents an optimal approach for sizing the photovoltaic-battery power supply for drone-based cellular networks in remote areas, aiming to minimize total cost. Results show that the optimal design of the PV-battery system depends on geographical data, solar irradiation, ambient temperature, and power consumption profiles.
Article
Thermodynamics
R. Cao, G. H. Huang, J. P. Chen, Y. P. Li, C. Y. He
Summary: The study reveals that implementing cooperative carbon dioxide emission strategies in the region can reduce system costs, especially in higher water resource risk scenarios. Additionally, water consumption increases as the constraint-violation level decreases.
Article
Engineering, Electrical & Electronic
Weifeng Zhong, Kan Xie, Yi Liu, Shengli Xie, Lihua Xie
Summary: This paper investigates the optimal day-ahead scheduling of grid-connected batteries providing three services, incorporating uncertainties through chance constraints. A heuristic based on penalty alternating direction method (PADM) is proposed to solve the resulting mixed-integer second-order cone program (MISOCP) efficiently. The simulation results demonstrate the computational efficiency of the proposed heuristic and the ability to maintain positive utility for batteries providing services.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Jiangjiang Wang, Tian Lei, Xiaoling Qi, Lei Zhao, Zhijian Liu
Summary: This paper presents a two-layer optimization model for determining the optimal installation nodes and capacities of electric energy storage (EES) and thermal energy storage (TES) in integrated energy networks. By utilizing storage units to convert electric power into heat, the economic performance and utilization rate of renewable energy sources are improved.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Rayati, Mokhtar Bozorg, Rachid Cherkaoui, Mauro Carpita
Summary: In this paper, a distributionally robust chance constrained (DRCC) optimization problem is proposed for the operation of an active distribution network (ADN). The uncertainties in the problem include production capability of PV systems, end-users' consumption, requested flexibility by the external network's operator, and voltage magnitude at the point of common coupling (PCC). The proposed solution is evaluated and compared with benchmark models based on stochastic and chance constrained (CC) optimization.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Energy & Fuels
Enyu Guo, Bo He, Jinliang Zhang
Summary: This article proposes a stochastic optimization approach for sizing the electrical energy storage system in an off-grid solar-wind energy system. The study finds that polycrystalline-PV solar/battery systems are more suitable for the proposed location due to economic, technical, and environmental conditions.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Chemical
Bo Liu, Yufei Wang, Xiao Feng
Summary: This paper investigates the optimization of circulating cooling water systems under uncertain circumstances, proposing a model based on chance constrained programming method. An algorithm using Monte Carlo method is developed to solve the model, which aims to minimize total cost and achieve optimal cooling network configuration. The results show that considering different uncertain parameters can lead to a system with better economy and reliability.
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Lun Yang, Yinliang Xu, Hongbin Sun, Wenchuan Wu
Summary: This paper proposes a new chance-constrained OPF model that satisfies operational constraints with a given probability without assuming specific probability distributions. The joint chance constraint is decomposed into individual chance constraints using an optimized Bonferroni approximation. Different convex approximations are proposed to formulate the model as tractable forms. The proposed convex approximations can also be extended to incorporate structural information and correlation among reserve chance constraints.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Management
Kevin-Martin Aigner, Jan-Patrick Clarner, Frauke Liers, Alexander Martin
Summary: This paper proposes a mathematical optimization model and its solution for joint chance constrained DC Optimal Power Flow. The proposed model minimizes curtailment of renewable energy feed-in while ensuring a high probability of transmission limits being maintained. The solution approach is based on robust safe approximation and replaces probabilistic constraints with suitably defined uncertainty sets constructed from historical data. Experimental results demonstrate the effectiveness and efficiency of this method.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Manish Pyakurel, Kalpesh Nawandar, Venkatasailanathan Ramadesigan, Santanu Bandyopadhyay
Summary: The study analyzed the expansion capacity and growth potential of six different power generation technologies, focusing on the impact of energy payback time and reinvestment factor on electricity development. The results showed a significant difference in growth potential between solar PV and gas power generation technologies. The relationships required to achieve a self-sustainable path and optimal reinvestment time were established.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Editorial Material
Green & Sustainable Science & Technology
Surendra Singh Kachhwaha, Nishith B. Desai, Santanu Bandyopadhyay
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Green & Sustainable Science & Technology
Arnab Jana, Ahana Sarkar, Neenu Thomas, G. S. Krishna Priya, Santanu Bandyopadhyay, Tracey Crosbie, Dana Abi Ghanem, Gillian Waller, Gobind G. Pillai, Dorothy Newbury-Birch
Summary: The water sector in India has experienced multiple institutional and structural reforms over the past decades to address water scarcity challenges, but the policies have been partially effective due to a lack of need-specific institutional framework. Furthermore, sustainable aspects like water use efficiency through water metering have been overlooked. A new approach is needed, including a discrete water metering policy, equitable tariff structuring, and an institutional metering framework to address the water crisis effectively.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Green & Sustainable Science & Technology
Sheetal Jain, Santanu Bandyopadhyay
Summary: This study introduces a method for optimizing resource conservation problems by introducing common resources, which can significantly reduce the operational costs of the overall problem. Utilizing Pinch Analysis principles and the concept of prioritized cost to guide resource allocation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Shweta Kamat, Santanu Bandyopadhyay
Summary: To address climate change issues and achieve sustainable industrial developments, process industries aim to conserve water and energy. Various methods have been proposed in the literature to identify optimal solutions, but all potentially optimal solutions should be explored to consider constraints and uncertainties.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
S. Rupesh, C. Muraleedharan, P. Arun
Summary: This study focused on kinetic modeling and analysis of CaO enabled biomass gasification to examine the impact of steam to biomass ratio, sorbent addition, and residence time on syngas composition. The developed model was validated with experimental results, showing a low RMS error of 3.66 for estimating syngas composition in air-steam gasification. The model's uniqueness lies in its ability to predict temporal variation of syngas species in steam-assisted air gasification with sorbent for CO2 capture.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Green & Sustainable Science & Technology
Shweta Kamat, Santanu Bandyopadhyay
Summary: A hybrid algorithm is developed to optimize water consumption and regeneration throughput by minimizing total annualized costs. The algorithm establishes the interactions between water and regeneration through a non-linear programming model, targeting heat exchanger requirements for overall thermal integration through pinch analysis. The method combines mathematical programming for handling multiple contaminants with pinch analysis for reducing energy requirements and providing physical insights.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2021)
Editorial Material
Green & Sustainable Science & Technology
Santanu Bandyopadhyay
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Computer Science, Interdisciplinary Applications
Hon Huin Chin, Petar Sabev Varbanov, Jiri Rijaromir Klemesa, Santanu Bandyopadhyay
Summary: The study focuses on implementing water recycling in an eco-industrial park to minimize costs, resource usage, or pollutant discharge. By using cooperative game approach, the government can provide incentives or subsidies to encourage plant participation in symbiosis.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Environmental Sciences
Suraj Poyilil, Arun Palatel, Muraleedharan Chandrasekharan
Summary: Kerala, as the second-largest producer of coffee in India, generates a significant amount of coffee husk waste during processing, which can be effectively utilized for bio-energy extraction through processes like gasification. Analyzing the physico-chemical properties of coffee husk is crucial for its efficient thermochemical processing and disposal.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Energy & Fuels
R. Bijesh, P. Arun, C. Muraleedharan
Summary: Proper selection of reactor configuration, sizing and optimization of operating conditions are crucial for efficient biomass to energy conversion in a gasifier. Mathematical modelling of gasification processes helps to optimize gasifier operating conditions and parameters. The developed model in this study predicts the impact of temperature and equivalence ratio on the mole fraction of product gas components, with a significant relationship between model predictions and experimental results.
BIOMASS CONVERSION AND BIOREFINERY
(2021)
Article
Green & Sustainable Science & Technology
Experience I. Nduagu, Deepak Yadav, Nishant Bhardwaj, Sabarish Elango, Tirtha Biswas, Rangan Banerjee, Srinivasan Rajagopalan
Summary: This study conducted a comprehensive life cycle assessment of different technological pathways for Direct Reduced Iron (DRI) production in India, and found that the emissions associated with these processes vary.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Thermodynamics
Melbin Benny, P. Suraj, P. Arun, C. Muraleedharan
Summary: Gasification of lignocellulosic biomass in a fluidized bed gasifier is a preferred option for gaseous fuel generation and solid waste management. However, the formation of agglomerates due to the interaction of inorganic elements and bed materials limits its wide adoption. This study reviews the mechanism of agglomerate formation and ash behavior, summarizes investigations on various bed materials, and suggests alternatives to conventional bed materials. Additionally, the detection of agglomeration using experimental and online methods is discussed, which can help in mitigating agglomeration without affecting process parameters.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Green & Sustainable Science & Technology
Shaiju M. Raghavan, Arun Palatel, Jayaraj Simon
Summary: This paper proposes a systematic methodology to assess the degradation of gas turbine components in off-design operating conditions using operational data and artificial neural network models. It demonstrates the effectiveness of the methodology in identifying fast degradation, estimating performance deviations, and determining necessary rectification works for improved performance.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Joel George, P. Arun, C. Muraleedharan
Summary: Biomass-based energy systems play a significant role in economic development, and extracting energy through gasification is feasible from different biomass sources. This study used multiple attribute decision making techniques to evaluate the gasification feasibility of 10 biomasses in southern India and developed a hybrid model to identify the best feedstock for gasification. The developed hybrid model was validated using two different multi-attribute decision making approaches, showing acceptable agreement in the ranks obtained.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING
(2021)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
