Article
Green & Sustainable Science & Technology
Hao Yu, Lin Da, Yalun Li, Yanqiong Chen, Qingdan Geng, Zhibin Jia, Yun Zhang, Jinhua Li, Caixia Gao
Summary: A multi-objective mixed-integer linear programming model is proposed to optimize the material exchange relationships in Ulan Buh Demonstration Eco-industrial Park. The results show that industrial symbiosis can reduce environmental impact by 50.24%-50.79% and decrease operating costs by 42.95%-43.57%, while creating job opportunities. The proposed model can assist decision-makers in choosing appropriate material exchange relationships based on objective priority choices.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Business
Yuxi Dai, Steven Day, Donato Masi, Ismail Golgeci
Summary: This study presents a five-stage process of EIP transformation through a systematic literature review. It identifies five key stakeholders and influencing factors, and develops a framework that highlights the interactions and order of stakeholders. The study provides valuable insights for future research, particularly on the early stages of EIP transformation.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Energy & Fuels
Feng Ji, Yachao Dong, Xiaojing Sun, Linlin Liu, Jian Du
Summary: This study proposes an optimization-based framework to simultaneously integrate heat exchanger networks, utilities, and waste heat recovery cycle systems in industrial parks, aiming to improve energy utilization efficiency and reduce overall costs. The results show that different waste heat recovery cycle configuration modes are applicable in different scenarios, and the inter-plant distance is an important factor affecting decision making.
Article
Green & Sustainable Science & Technology
Doryn Negesa, Wei Cong, Lei Cheng, Lei Shi
Summary: Eco-industrial parks (EIPs) have become the mainstream model for sustainable transition of industrial parks worldwide, but there are few cases implemented in Africa, despite its potential for industrial park growth. This study focuses on the transition process and outcome of Hawassa Industrial Park (HIP) in Ethiopia, using the international framework for EIPs and strategic niche management (SNM) framework. The study identifies three critical factors for EIP development in Ethiopia and their exceptional value for integrating sustainability into local economic development.
JOURNAL OF INDUSTRIAL ECOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Yin Hui Lai, Irene Mei Leng Chew
Summary: This study presents an optimization-based approach of a biogenic waste biorefinery eco-industrial park, which utilizes a centralized wastewater treatment plant to treat the waste and supply demanded volatile fatty acid (VFA) to participating plants. Sensitivity analysis shows a reduction of 32.8% and 27.4% in fresh VFA demand from external sources achieved through the integration network.
Article
Green & Sustainable Science & Technology
Colton Brehm, Astrid Layton
Summary: Eco-industrial networks, including eco-industrial parks, are supported as solutions that reduce environmental burdens and promote economic interests. Studies have compared these networks to food webs, focusing on optimizing the structure to improve material and energy reuse efficiency.
JOURNAL OF INDUSTRIAL ECOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Jamileh Fouladi, Ahmed AlNouss, Tareq Al-Ansari
Summary: Resource depletion is a significant threat to society due to the increasing demand for water, energy, and food resources driven by population growth. This study focuses on designing an integrated Energy-Water-Food-Carbon nexus within eco-industrial parks to address this issue. The research examines various technology sub-systems and carbon capture/utilization processes in an industrial park in Qatar. Simulation and optimization of multiple scenarios reveal the potential for biomass utilization and carbon capture to significantly reduce emissions, while wastewater treatment and reuse scenarios show no significant impact. The cost of the optimum solution after biomass utilization is slightly higher, but waste heat utilization can potentially reduce global warming potential.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Wanqiu Hu, Jinping Tian, Lujun Chen
Summary: This study proposes a multi-criteria industrial structure adjustment model to increase resource utilization efficiency and industrial output efficiency through decoupling economic development and environmental burden. Using the Beijing Economic-technological Development Area as an example, it uncovers a transformation roadmap from a high-speed to a high-quality mode, emphasizing the significant roles of advanced manufacturing industries in stimulating high-quality development.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Jamileh Fouladi, Ahmed AlNouss, Tareq Al-Ansari
Summary: In this study, a representation of the Energy-Water-Food (EWF) nexus is developed to capture the tradeoffs and synergies within an industrial park. A systems approach based on thermodynamics is used to optimize the nexus and enhance resource efficiency. The case study in Qatar evaluates resource efficiency enhancement possibilities across various scenarios and considers trade-offs between minimizing total cost and environmental emissions. The importance of utilizing biomass from the food sector to capture synergistic potential is emphasized. The results indicate improvements in global warming potential and exergy efficiency in the best performing scenario.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Energy & Fuels
Zhiyong Zeng, Yufeng Chen, Chenghao Li, Yunfeng Li, Xiaozan Wu
Summary: A significant amount of waste heat is released in industrial procedures, causing energy waste and heat pollution. Utilizing organic Rankine cycle (ORC) system for low-grade waste heat shows promising results in efficiency improvement and cost reduction through parameter optimization.
Article
Green & Sustainable Science & Technology
Cheol Hee Son, Dream Oh, Yong Un Ban
Summary: This study evaluates the performance of Korean eco-industrial park projects based on sustainable eco-industrial development strategies. It finds that 63.1% of the projects consider and/or apply these strategies, and that the initial development strategies have a significant impact on economic performance.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Management
Jingqi Dai, Zongmin Li
Summary: This study proposes an equilibrium strategy based on a multi-objectives model to assist coal chemical industrial parks in achieving integrated management involving economy, environment, and efficiency. A real case study shows the effectiveness of this strategy, and management suggestions are provided.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Steven Kuba Nuhu, Zainuddin Abdul Manan, Sharifah Rafidah Wan Alwi, Mohd Nadzri Md Reba
Summary: Inconsistencies in criteria weight assessment of single multi-criteria decision making methods have led to incorrect siting of industrial parks. Integrated multi-criteria decision making methods address these weaknesses and provide consistent criteria weights.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
S. Moehren, J. Meyer, H. Krause, L. Saars
Summary: In times of increasing global warming, significant efforts are needed to rapidly reduce greenhouse gas emissions, particularly in the industrial sector. This paper presents a MPHI approach based on mathematical optimization and Pinch Analysis to minimize energy demand, costs, and CO2 emissions. The results demonstrate the potential for achieving significant reductions in costs and CO2 emissions, but further technological advancements and research are necessary to reach climate neutrality by 2050.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Geochemistry & Geophysics
Maura Fugazzotto, Paolo Mazzoleni, Isabella Lancellotti, Rachel Camerini, Pamela Ferrari, Maria Rosaria Tine, Irene Centauro, Teresa Salvatici, Germana Barone
Summary: The disposal of ceramic industrial waste is a significant problem for production plants. Utilizing these waste as precursors for alkaline-activated materials could provide a solution, generating new binders/blocks with reduced CO2 emissions. This study compares different types of industrial ceramic waste and investigates their potential for conversion into resources, showing promising results with 80%-100% waste precursor synthesis.
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.