The Experts below are selected from a list of 13749 Experts worldwide ranked by ideXlab platform
Konstantin Turitsyn - One of the best experts on this subject based on the ideXlab platform.
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micro water energy Nexus optimal demand side management and quasi convex hull relaxation
IEEE Transactions on Control of Network Systems, 2019Co-Authors: Ameena Saad Alsumaiti, Konstantin TuritsynAbstract:In some countries and regions, water distribution and treatment consume a considerable amount of electric energy. This paper investigates the water network's potential ability to provide demand response services to the power grid for the management of renewable resources under the framework of a distribution-level water–energy Nexus (micro WEN). In particular, the hidden controllable water loads, such as irrigation systems, were closely studied as virtual energy storage to improve the flexibility of electrical grids. An optimization model is developed for the demand-side management (DSM) of micro WEN, and the simulation results assert that grid flexibility indeed benefits from taking controllable water loads into account. Although the proposed optimal DSM model is a computationally intractable mixed-integer nonlinear programming (MINLP) problem, quasi-convex hull techniques were developed to relax the MINLP into a mixed-integer convex programming (MICP) problem. The numerical study shows that the quasi-convex hull relaxation is tight and that the resulting MICP problem is computationally efficient.
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micro water energy Nexus optimal demand side management and quasi convex hull relaxation
arXiv: Optimization and Control, 2018Co-Authors: Ameena Saad Alsumaiti, Konstantin TuritsynAbstract:This paper investigates the water network's potential ability to provide demand response services to the power grid under the framework of a distribution-level Water-Energy Nexus (micro-WEN). In particular, the hidden controllability of water loads, such as irrigation systems, was closely studied to improve the flexibility of electrical grids. A optimization model is developed for the demand-side management (DSM) of micro-WEN, and the simulation results assert that grid flexibility indeed benefits from controllable water loads. Although the proposed optimal DSM model is an intractable mixed-integer nonlinear programming (MINLP) problem, quasi-convex hull techniques were developed to relax the MINLP into a mixed-integer convex programming (MICP) problem. The numerical study shows that the quasi-convex hull relaxation is tight and that the resulting MICP problem is computationally efficient.
Bin Chen - One of the best experts on this subject based on the ideXlab platform.
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land water energy Nexus in agricultural management for greenhouse gas mitigation
Applied Energy, 2020Co-Authors: Xing Fan, Wen Zhang, Weiwei Chen, Bin ChenAbstract:Abstract Agriculture plays an important role in global climate change. The interaction and efficiency of use of land, water, and energy in agricultural activities are the principal factors affecting greenhouse gas (GHG) emissions and food production. However, comprehensive analysis exploring the mechanism of the land–water–energy system in agricultural production remains lacking. This study developed such a framework based on regional agricultural GHG emissions by combining top-down analysis that considered cross-sectoral interactions with bottom-up analysis that addressed the context-specific conditions of resources and technology. We employed the proposed framework to analyze the interaction of land–water–energy and factors influencing agricultural GHG emissions and to explore mitigation measures based on a case study of the Sanjiang Plain (China). Results showed cropland on the Sanjiang Plain produced 1.8 million tonnes of protein and released 10.9 million tonnes of CO2eq in 2015 using 3.0 million ha of arable land, 12.1 billion m3 of water, and 100.4 PJ of energy. Owing to their high input of resources and flooded cultivation, rice fields produced 29% of total crop protein but consumed 51% of total crop water use, 43% of total crop energy use, and emitted 54% of total crop GHG (CO2eq). Structural adjustment through conversion of half the paddy fields into dryland crops (e.g., wheat) could mitigate GHG emissions by 18.8% in 2020 compared with the baseline scenario. However, such change would be almost impossible given the Sanjiang Plain is one of China’s most important rice-producing areas. If integrated technology improvements were adopted, e.g., advanced crop–soil nutrition management, groundwater protection measures, water-saving irrigation technology, and low-carbon energy technology, GHG emissions could be reduced by 23.9% without sacrificing food production. This study used the Nexus approach to analyze agricultural GHG emissions, providing a framework for sustainable agricultural management and a reference for understanding the land–water–energy Nexus.
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water energy Nexus in china s electric power system
Energy Procedia, 2017Co-Authors: Saige Wang, Tao Cao, Bin ChenAbstract:Abstract The electric power system is water–intensive, which aggravates the water scarcity of China. Deeper understanding of the role of electric transmission systems coupling with virtual water flows is critical for sustainable development of China. In this study, the flux and direction of virtual water within power system were firstly analyzed. Water scarcity index (WSI) was also incorporated to evaluate the virtual scarce water flows. Then, we calculated the hybrid electricity flux by multiplying electricity flux with its proportion of total electricity consumption to elucidate the significance of flux on the node's electricity supply. Finally, we studied the virtual scarce water flow network and hybrid electricity flux network via throughflow analysis to shed light on the Nexus within the power system. The results show that electricity inflows bring in 27.99 GL of virtual scarce water concurrent with 10.865 TW h of electricity, and 47.47 GL of virtual scarce water concurrent with 15.072 TW h of electricity into the north and central regions of China. It can be concluded that a large volume of virtual scarce water (16.3 GL) is transferred via the electric power system, mainly from inland areas to coastal areas, which is roughly the opposite of the distribution of China's water resources. By doing this, we aim to evaluate the energy–water Nexus rate in the electricity power system to balance the tradeoff between electricity supply and the regional inequity of water resources.
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linkage analysis for the water energy Nexus of city
Applied Energy, 2017Co-Authors: Delin Fang, Bin ChenAbstract:Rapid urbanization and the expansion of metropolitan areas have resulted in severe demands on water and energy resources, which threaten the sustainability of the urban economy and environment. In this paper, an input–output model and linkage analysis are used to detect the synergetic effects of water and energy consumption and interactions among economic sectors. Beijing is chosen as a case study to investigate the water–energy Nexus and the water and energy importing and exporting functions of major economic sectors. The results reveal that the agriculture and food processing sectors are major virtual water suppliers, while petroleum and natural gas processing, and electricity production sectors are major embodied energy suppliers. These energy suppliers mainly import intermediate products to satisfy the final demand of Beijing, thus transferring resources pressure to other regions. With rapid urbanization, the real estate industry sector chain has become an important water–energy Nexus node and resources transfer node. The real estate sector needs large amounts of virtual water and embodied energy resource inputs to continue its production and thereby promote the growth of logistical industries. The transportation sector was also found to be important energy consumer and energy transfer node. In addition, the services sector, contributing one fourth of Beijing’s total GDP, is a key water–energy Nexus node because it consumes considerable amounts of both virtual water and embodied energy resources to support its production pattern.
Ameena Saad Alsumaiti - One of the best experts on this subject based on the ideXlab platform.
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micro water energy Nexus optimal demand side management and quasi convex hull relaxation
IEEE Transactions on Control of Network Systems, 2019Co-Authors: Ameena Saad Alsumaiti, Konstantin TuritsynAbstract:In some countries and regions, water distribution and treatment consume a considerable amount of electric energy. This paper investigates the water network's potential ability to provide demand response services to the power grid for the management of renewable resources under the framework of a distribution-level water–energy Nexus (micro WEN). In particular, the hidden controllable water loads, such as irrigation systems, were closely studied as virtual energy storage to improve the flexibility of electrical grids. An optimization model is developed for the demand-side management (DSM) of micro WEN, and the simulation results assert that grid flexibility indeed benefits from taking controllable water loads into account. Although the proposed optimal DSM model is a computationally intractable mixed-integer nonlinear programming (MINLP) problem, quasi-convex hull techniques were developed to relax the MINLP into a mixed-integer convex programming (MICP) problem. The numerical study shows that the quasi-convex hull relaxation is tight and that the resulting MICP problem is computationally efficient.
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micro water energy Nexus optimal demand side management and quasi convex hull relaxation
arXiv: Optimization and Control, 2018Co-Authors: Ameena Saad Alsumaiti, Konstantin TuritsynAbstract:This paper investigates the water network's potential ability to provide demand response services to the power grid under the framework of a distribution-level Water-Energy Nexus (micro-WEN). In particular, the hidden controllability of water loads, such as irrigation systems, was closely studied to improve the flexibility of electrical grids. A optimization model is developed for the demand-side management (DSM) of micro-WEN, and the simulation results assert that grid flexibility indeed benefits from controllable water loads. Although the proposed optimal DSM model is an intractable mixed-integer nonlinear programming (MINLP) problem, quasi-convex hull techniques were developed to relax the MINLP into a mixed-integer convex programming (MICP) problem. The numerical study shows that the quasi-convex hull relaxation is tight and that the resulting MICP problem is computationally efficient.
Andrzej Kraslawski - One of the best experts on this subject based on the ideXlab platform.
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water energy Nexus and greenhouse gas sulfur oxides embodied emissions of biomass supply and production system a large scale analysis using combined life cycle and dynamic simulation approach
Energy Conversion and Management, 2020Co-Authors: Seyed Mojib Zahraee, Saeed Rahimpour Golroudbary, Nirajan Shiwakoti, Peter Stasinopoulos, Andrzej KraslawskiAbstract:Abstract The achievement of low or zero greenhouse gas and particulate matter emissions such as sulfur oxides, optimized Water-Energy Nexus, and a well-protected environment are challenges that have become increasingly significant for the biomass industry. There is a need to conduct evaluation and analyses of the greenhouse gas and particulate emissions, water use and energy consumption of biomass process and delivery, from “cradle to gate”. Therefore, to fill this noted gap in the literature, this study aims to develop a combined life cycle and dynamic simulation model to examine Water-Energy Nexus in the biomass industry, particularly under uncertainties, as well as estimation of greenhouse gas and particulate matter emissions of the biomass supply chain by 2050. The dynamic modelling of material, energy, and water flows was used to perform those tasks. An in-depth analysis of environmental issues during the production, processing, conversion and delivery of empty fruit bunches biomass supply and production system is conducted. The model was tested and implemented through a case study of three main biomass suppliers in Malaysia. Comparison of environmental performance of the production stages of 31 products through pre-processed, intermediate, and final productions in the biomass supply chain shows that bio-compost, activated-carbon, and cellulose are the highest water users and energy consumers as well as the highest emitters of greenhouse gas and sulfur oxides for all the three suppliers. Sensitivity analysis was also conducted for these critical products based on recent governmental land and demand policies. The main finding of this paper indicates a need for a well-planned management of Water-Energy Nexus in pre-processed production compared to intermediate and final production of biomass supply chain. This finding provides valuable insights to the government agencies and stakeholders to pursue sustainable bioenergy development strategies.
Thomas Chiramba - One of the best experts on this subject based on the ideXlab platform.
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quantification of the water energy and carbon footprints of wastewater treatment plants in china considering a water energy Nexus perspective
Ecological Indicators, 2016Co-Authors: Yanan Dong, Hongtao Wang, Arturo A Keller, Thomas ChirambaAbstract:Abstract Water and energy are closely connected and both are very important for human development. Wastewater treatment plants (WWTPs) are central to water–energy interactions as they consume energy to remove pollutants and thus reduce the human gray water footprint on the natural water environment. In this work, we quantified energy consumption in 9 different WWTPs in south China, with different treatment processes, objects, and capacities. The energy intensity in most of these WWTPs is in the range of 0.4–0.5 kWh/m 3 in 2014. Footprint methodologies were used in this paper to provide insight into the environmental changes that result from WWTPs. A new indicator “gray water footprint reduction” is proposed based on the notion of gray water footprint to better assess the role of WWTPs in reducing human impacts on water resources. We find that higher capacity and appropriate technology of the WWTPs will result in higher gray water footprint reduction. On average, 6.78 m 3 gray water footprint is reduced when 1 m 3 domestic sewage is treated in WWTPs in China. 13.38 L freshwater are required to produce the 0.4 kWh electrical input needed for treating 1 m 3 domestic wastewater, and 0.23 kg CO 2 is emitted during this process. The wastewater characteristics, treatment technologies as well as management systems have a major impact on the efficiency of energy utilization in reducing gray water footprint via these WWTPs. The additional climate impact associated with wastewater treatment should be considered in China due to the enormous annual wastewater discharge. Policy suggestions are provided based on results in this work and the features of China's energy and water distribution.
