Article
Engineering, Chemical
Daniela Jacqueline Cruz-Aviles, Aurora del Carmen Munguia-Lopez, Jose Maria Ponce-Ortega
Summary: This paper introduces a new approach for designing water networks in eco-industrial parks, taking into account fair distribution schemes. Mathematical models are proposed for finding the optimal allocation of resources.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(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
Development Studies
Douglas Zhihua Zeng, Lei Cheng, Lei Shi, Wilfried Luetkenhorst
Summary: China has achieved significant results in green transformation through the implementation of eco-industrial parks (EIPs) and improved environmental and competitiveness performances. While most studies show that EIPs can improve environmental performance, there is less research on their impact on economic competitiveness.
Article
Energy & Fuels
Elizabeth J. Abraham, Farah Ramadan, Dhabia M. Al-Mohannadi
Summary: Growing concerns over climate change have increased the demand for carbon dioxide emission reduction. This can be achieved through the implementation of circular economy, which promotes resource conservation, emission reduction, and sustainable revenue streams. Utilizing CCUS technology or emission-free renewable resources can help reduce carbon dioxide emissions from industrial processes.
FRONTIERS IN ENERGY RESEARCH
(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
Computer Science, Interdisciplinary Applications
Elizabeth J. Abraham, Dhabia M. Al-Mohannadi, Patrick Linke
Summary: Resource integration allows industries to foster circular operations and create sustainable systems. The proposed multi-period resource integration approach optimizes resource and cash flows within the network, considering the time value of money and the interaction of resources, to design and optimize industrial parks.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Review
Chemistry, Multidisciplinary
Shenghua Wang, Athanasios A. Tountas, Wangbo Pan, Jianjiang Zhao, Le He, Wei Sun, Deren Yang, Geoffrey A. Ozin
Summary: The study proposes universal equations to describe net CO2 emissions from operating thermocatalysis and photothermal reverse water-gas shift (RWGS) and Sabatier processes. By using these reactions as archetype model systems, the factors determining the final amount of effluent CO2 can be determined, providing useful guidelines for the development of photothermal catalytic systems for CO2 reduction.
Article
Business
Jianxian Wu, Xin Nie, Han Wang, Weijuan Li
Summary: This paper assesses the impact of national eco-industrial parks (EIPs) on green technological progress, focusing on Chinese cities. Staggered difference-in-differences is used to analyze panel data from 314 prefecture-level cities in China from 2002 to 2017, and the results show that EIPs significantly increase green technological progress. Various robustness checks, including event study, Oster omitted variable detection, and relevant city slope as instruments, corroborated the robustness of this finding. The research expenditure intensity, scale agglomeration level, and industrial structure optimization serve as channels through which EIPs stimulate green technological progress. Furthermore, the research demonstrates the existence of heterogeneity (in an inverted U-shape) between the green innovation effect of EIPs and city scale.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Review
Economics
Aleksandar Anastasovski
Summary: Recently, there has been significant progress in the self-generated energy in districts and industrial processes, particularly in terms of positive energy balance. The main objective of this review is to analyze if industrial parks can be transformed into Positive Energy Industrial parks. The analysis of existing industrial park designs covers six aspects, including law and regulations, socio-economic factors, management, technical aspects, construction, and sustainability. However, there are several obstacles identified, such as expensive solutions, lack of understanding on energy distribution and storage, and mismatch between company sustainability and societal or environmental sustainability.
Article
Energy & Fuels
Zenghui Zhang, Kaile Zhou, Shanlin Yang
Summary: With the deployment of renewable energy sources, industrial parks are facing power supply-demand imbalances. A solution to this issue is the sharing of energy storage systems (ESS) among multiple users, which can improve the utilization and economic benefits of ESS. By analyzing different ESS sharing schemes, this study determines that the centralized ESS scheme offers lower electricity costs and higher utilization compared to other schemes. Despite increased energy losses, increasing the proportion of centralized ESS is the most effective method of improving ESS performance.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Chemical
Xi Gu, Feng Ji, Linlin Liu, Jian Du
Summary: This study proposes a global energy integration method for industrial parks to address the issue of multiple forms of energy production, distribution, and recovery. The proposed method is demonstrated through a case study, showing that the quantity of consumed fuel has a considerable influence on energy distribution and park costs, and the introduction of solar energy affects emissions and energy distribution.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Environmental Sciences
Jun Liu, Yu Qian, Tianci Yin, Shunfeng Song
Summary: This paper examines the effects of industrial symbiotic agglomeration on pollution emissions and finds that it reduces total urban pollution emissions, particularly SO2 and wastewater. The reduction effect is achieved through green innovation, recycling, and structural optimization, but the cost reduction effect is not obvious. Industrial symbiotic agglomeration promotes emission reduction in neighboring cities within a 300-km range, and this reduction decays with geographical distance. The size of the agglomeration also plays a role, with a stronger effect observed as the size increases.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Mathematics
David Carfi, Alessia Donato
Summary: This article examines the coexistence of competing actors within a specific eco-industrial park and explores the dynamics of coopetition among the competitors to enhance their growth and improve environmental conditions. By reducing costs and sharing gains, a virtuous environmental path is established through a multidimensional coopetitive agreement, leading to fair distribution of benefits and a complete mathematical analysis of the economic game.
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
Economics
Didier Aussel, Kien Cao Van, David Salas
Summary: Industrial water conservation is crucial for protecting the environment, and Eco-Industrial Parks are designed to minimize freshwater consumption and wastewater discharge through water exchange networks. This paper focuses on the mathematical programming model for optimizing industrial water networks in EIPs, using the Single-Leader-Multi-Follower game framework. The study shows how enterprises in the park aim to minimize operating costs by reusing wastewater, while the designer aims to minimize natural resource consumption.
Article
Energy & Fuels
Omar Al-Ani, Patrick Linke
Review
Green & Sustainable Science & Technology
Waqas Nawaz, Patrick Linke, Muammer Koc
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Computer Science, Interdisciplinary Applications
Dhabia M. Al-Mohannadi, Gihong Kwak, Patrick Linke
COMPUTERS & CHEMICAL ENGINEERING
(2020)
Article
Energy & Fuels
Dhabia M. Al-Mohannadi, Patrick Linke
Article
Engineering, Chemical
Shaza Shehab, Dhabia M. Al-Mohannadi, Patrick Linke
Summary: The study introduces an optimization method for chemical plant investment portfolios based on Modern Portfolio Theory, showing its superiority over traditional profitability criteria in a case study. The effects of annual and monthly profit variabilities and economies of scale on portfolio selection are also explored.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2021)
Article
Engineering, Chemical
Razan Ahmed, Shaza Shehab, Dhabia M. Al-Mohannadi, Patrick Linke
CHEMICAL ENGINEERING SCIENCE
(2020)
Article
Green & Sustainable Science & Technology
Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke
Summary: To address the limitations in current methods for strategic planning of CO2 emissions reduction, a simple and clear methodology is proposed that effectively determines minimum cost CO2 reduction pathways using an algebraic targeting technique to generate Mini-MAC curves. The application of this methodology demonstrates its benefits in developing low-cost emissions reduction strategies, considering options such as CCUS, power shifting, and negative emissions technologies. The clarity and richness of the Mini-MAC curves enable planners to easily understand and assess available low-cost pathways for reducing CO2 emissions.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2022)
Review
Chemistry, Physical
A. G. Olabi, Khaled Elsaid, Enas Taha Sayed, Mohamed S. Mahmoud, Tabbi Wilberforce, Raid J. Hassiba, Mohammad Ali Abdelkareem
Summary: Heat is the most common form of energy, with waste heat recovery aiming to recover energy losses. Nanofluids have shown promising potential and feasibility in improving energy recovery efficiency in recent years.
Article
Engineering, Chemical
Shaza Shehab, Patrick Linke, Dhabia M. Al-Mohannadi
Summary: This study adopts Modern Portfolio Theory (MPT) to guide the selection of plants to be included in a portfolio, aiming to enhance internal integration and improve overall performance. The findings show that the optimal risk-return portfolios consist of both integrated clusters of plants and stand-alone plants to ensure portfolio stability.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke
Summary: Due to the high cost of climate action, planners and policy makers require consistent guidance on possible strategies that enable the mitigation of greenhouse gas emissions at low costs. For the development of strategies with a focus on CO2 capture, utilization and storage (CCUS) systems, a method has been proposed to perform high-level cost analysis.
JOURNAL OF CLEANER PRODUCTION
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Dhabia M. Al-Mohannadi, Patrick Linke, Nialy Shah
29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A
(2019)
Article
Green & Sustainable Science & Technology
Sabla Y. Alnouri, Patrick Linke, Sumit Bishnu, Mahmoud M. El-Halwagi
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2019)
Article
Green & Sustainable Science & Technology
Chi Zhang, Chi Nguyen, Fadwa Eljack, Patrick Linke, Mahmoud M. El-Halwagi
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2018)
Article
Green & Sustainable Science & Technology
Sabla Y. Alnouri, Patrick Linke, Sumit Bishnu, Mahmoud M. El-Halwagi
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2018)
Article
Engineering, Chemical
Rachid Klaimi, Sabla Y. Alnouri, Dhabia Al-Mohannadi, Joseph Zeaiter, Patrick Linke
CHEMICAL PRODUCT AND PROCESS MODELING
(2018)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)