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A district heating system based on absorption heat exchange with CHP systems

Lin FU, Yan LI, Yi JIANG, Shigang ZHANG,

Frontiers in Energy 2010, Volume 4, Issue 1,   Pages 77-83 doi: 10.1007/s11708-010-0022-0

Abstract: system is presented in this paper based on absorption heat exchange in the cogeneration system named Co-ahcycle, which means that the cogeneration system is based on absorption heat exchange.

Keywords: cogeneration     district heating     absorption heat exchange     Co-ah cycle    

Co-hydrotreating light cycle oil-canola oil blends

Huali WANG, Hena FAROOQI, Jinwen CHEN

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 1,   Pages 64-76 doi: 10.1007/s11705-015-1504-8

Abstract: Canola oil and light cycle oil (LCO) blends were co-hydrotreated over a commercial hydrotreating catalyst

Keywords: hydrotreating     co-hydrotreating     co-processing     canola oil     light cycle oil (LCO)    

Revealing the GHG reduction potential of emerging biomass-based CO utilization with an iron cycle system

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1727-8

Abstract:

● Greenhouse gas mitigation by biomass-based CO2 utilizationwith a Fe cycle system.

Keywords: Carbon dioxide utilization     Hydrothermal reactions     Biomass-based CO2 reduction     Simulation    

Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures

Harun TANYILDIZI, Abdulkadir ŞENGÜR, Yaman AKBULUT, Murat ŞAHİN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1316-1330 doi: 10.1007/s11709-020-0646-z

Abstract: In this study, the deep learning models for estimating the mechanical properties of concrete containing silica fume subjected to high temperatures were devised. Silica fume was used at concentrations of 0%, 5%, 10%, and 20%. Cube specimens (100 mm × 100 mm × 100 mm) were prepared for testing the compressive strength and ultrasonic pulse velocity. They were cured at 20°C±2°C in a standard cure for 7, 28, and 90 d. After curing, they were subjected to temperatures of 20°C, 200°C, 400°C, 600°C, and 800°C. Two well-known deep learning approaches, i.e., stacked autoencoders and long short-term memory (LSTM) networks, were used for forecasting the compressive strength and ultrasonic pulse velocity of concrete containing silica fume subjected to high temperatures. The forecasting experiments were carried out using MATLAB deep learning and neural network tools, respectively. Various statistical measures were used to validate the prediction performances of both the approaches. This study found that the LSTM network achieved better results than the stacked autoencoders. In addition, this study found that deep learning, which has a very good prediction ability with little experimental data, was a convenient method for civil engineering.

Keywords: concrete     high temperature     strength properties     deep learning     stacked auto-encoders     LSTM network    

Simulation of the optimal heat rejection pressure for transcritical CO

Junlan YANG, Yitai MA, Minxia LI, Hua TIAN

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 522-526 doi: 10.1007/s11708-010-0027-8

Abstract: In order to optimize and control transcritical CO refrigeration cycle, a mathematical model was developedbut also for expander cycle.In order to further obtain correlation of the optimal heat rejection pressure for transcritical CO expanderIt is, therefore, convenient to use either correlation to simulate the performance of transcritical COexpander cycle.

Keywords: transcritical CO2 cycle     optimal heat rejection pressure     simulation     expander    

Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO

Pol Masclans Abelló, Vicente Medina Iglesias, M. Antonia de los Santos López, Jesús Álvarez-Flórez

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 1, doi: 10.1007/s11783-020-1296-z

Abstract: The results include Fuel Consumption (FC), CO2, NOx and PM10 emissions, which are derived from the threeIn the first part of the paper we present a new procedure for incomplete drive cycle data treatment,which is necessary for real drive cycle acquisition in high density cities.Finally, a new methodology named Cycle Analysis by Ordered Power (CAbOP) is presented and used to comparedrive cycles surveyed in Barcelona (Spain) and the results are compared with a standardized WLTC urban cycle

Keywords: Cycle Analysis by Ordered Power (CAbOP)     Micro and macro models     Real drive cycle     NOx/PM10/CO2 emissions     Wheel mechanical power domain     Worldwide Harmonized Light-DutyVehicles Test Cycle (WLTC)    

Major bridge projects——a multi-disciplinary approach

Klaus H. OSTENFELD, Erik Y. ANDERSEN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 479-495 doi: 10.1007/s11709-011-0137-3

Abstract: construction impact on the environment, energy, risk scenarios, health, and most relevant now: climate and COoverall satisfactory solution for design, construction and maintenance throughout the lifetime (life cycle

Keywords: bridges     materials     climate     risk     safety     environment     socioeconomics     traffic     CO2     energy     life cycle    

A comparison of production system life cycle models

Rajesh ATTRI, Sandeep GROVER

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 305-311 doi: 10.1007/s11465-012-0332-5

Abstract: Hence, analyzing different life cycle models of the production system is necessary.In this paper, different life cycle models of the production system are compared to evaluate the distinctiveFurthermore, the difference between product life cycle and production life cycle is summarized, and theeffect of product life cycle on production life cycle is explained.Finally, a production system life cycle model, along with key activities to be performed in each stage

Keywords: production system     life cycle     model     product    

Cyanobacterial photo-driven mixotrophic metabolism and its advantages for biosynthesis

Ni Wan,Mary Abernathy,Joseph Kuo-Hsiang Tang,Yinjie J. Tang,Le You

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 3,   Pages 308-316 doi: 10.1007/s11705-015-1521-7

Abstract: Second, CO fixation by ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) has poor efficiencyThird, CO mass transfer and light supply are deficient within large photobioreactors.The photo-fermentations show enhanced photosynthesis, while CO loss from organic substrate degradationcan be reused by the Calvin cycle.addition, the plasticity of cyanobacterial pathways (e.g., oxidative pentose phosphate pathway and the TCA cycle

Keywords: CO2 mass transfer     N2 fixation     photosystem     RuBisCO     the TCA cycle    

Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective

Frontiers in Energy doi: 10.1007/s11708-023-0909-1

Abstract: This paper evaluated the life-cycle cost and carbon emission of hydrogen energy via lots of field surveys

Keywords: hydrogen energy     life-cycle assessment (LCA)     fuel cell vehicle     carbon emission     energy cost    

Improvement of the cascading closed loop cycle system

ZHANG Guoqiang, CAI Ruixian

Frontiers in Energy 2007, Volume 1, Issue 3,   Pages 341-346 doi: 10.1007/s11708-007-0051-5

Abstract: Aspen Plus was used to simulate and get more information about the cascading closed loop cycle (CCLC)by the CCLC, both qualitative and quantitive comparisons between the system and simple steam Rankine cycleA better cycle scheme and pressure distribution was proposed to raise the efficiency of the CCLC.

State-of-the-art applications of machine learning in the life cycle of solid waste management

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x

Abstract:

● State-of-the-art applications of machine learning (ML) in solid waste (SW) is presented.

Keywords: Machine learning (ML)     Solid waste (SW)     Bibliometrics     SW management     Energy utilization     Life cycle    

Sulfur cycle as an electron mediator between carbon and nitrate in a constructed wetland microcosm

Wenrui Guo, Yue Wen, Yi Chen, Qi Zhou

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 4, doi: 10.1007/s11783-020-1236-y

Abstract: . • S cycle transferred electrons between organics and NO3‒ with an efficiency of 15%.A constructed wetland microcosm was employed to investigate the sulfur cycle-mediated electron transferThe overall electron transfer efficiency of the sulfur cycle for autotrophic denitrification was 15.3%Thiohalobacter, Thiobacillus, Sulfuritalea, and Sulfurisoma), which jointly fulfilled a sustainable sulfur cycle

Keywords: Constructed wetland     Sulfur cycle     Electron transfer     Denitrification    

Life-cycle cost analysis of optimal timing of pavement preservation

Zilong WANG,Hao WANG

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 17-26 doi: 10.1007/s11709-016-0369-3

Abstract: This study developed an integrated life-cycle cost analysis (LCCA) model to quantify the impact of pavement

Keywords: pavement preservation     life-cycle cost analysis     agency cost     vehicle operation cost    

Performance analysis of cogeneration systems based on micro gas turbine (MGT), organic Rankine cycleand ejector refrigeration cycle

Zemin BO, Kai ZHANG, Peijie SUN, Xiaojing LV, Yiwu WENG

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 54-63 doi: 10.1007/s11708-018-0606-7

Abstract: The systems are MGT (micro gas turbine) + ORC (organic Rankine cycle) for electricity demand, MGT+ ERC(ejector refrigeration cycle) for electricity and cooling demand, and MGT+ ORC+ ERC for electricityThe results show that under the design condition, when using R600 in the bottoming cycle, the MGT+ ORCthree cogeneration systems can be effectively improved under off-design condition because the bottoming cycle

Keywords: cogeneration system     different working fluids     micro gas turbine (MGT)     organic Rankine cycle (ORC)     ejectorrefrigeration cycle (ERC)    

Title Author Date Type Operation

A district heating system based on absorption heat exchange with CHP systems

Lin FU, Yan LI, Yi JIANG, Shigang ZHANG,

Journal Article

Co-hydrotreating light cycle oil-canola oil blends

Huali WANG, Hena FAROOQI, Jinwen CHEN

Journal Article

Revealing the GHG reduction potential of emerging biomass-based CO utilization with an iron cycle system

Journal Article

Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures

Harun TANYILDIZI, Abdulkadir ŞENGÜR, Yaman AKBULUT, Murat ŞAHİN

Journal Article

Simulation of the optimal heat rejection pressure for transcritical CO

Junlan YANG, Yitai MA, Minxia LI, Hua TIAN

Journal Article

Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO

Pol Masclans Abelló, Vicente Medina Iglesias, M. Antonia de los Santos López, Jesús Álvarez-Flórez

Journal Article

Major bridge projects——a multi-disciplinary approach

Klaus H. OSTENFELD, Erik Y. ANDERSEN

Journal Article

A comparison of production system life cycle models

Rajesh ATTRI, Sandeep GROVER

Journal Article

Cyanobacterial photo-driven mixotrophic metabolism and its advantages for biosynthesis

Ni Wan,Mary Abernathy,Joseph Kuo-Hsiang Tang,Yinjie J. Tang,Le You

Journal Article

Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective

Journal Article

Improvement of the cascading closed loop cycle system

ZHANG Guoqiang, CAI Ruixian

Journal Article

State-of-the-art applications of machine learning in the life cycle of solid waste management

Journal Article

Sulfur cycle as an electron mediator between carbon and nitrate in a constructed wetland microcosm

Wenrui Guo, Yue Wen, Yi Chen, Qi Zhou

Journal Article

Life-cycle cost analysis of optimal timing of pavement preservation

Zilong WANG,Hao WANG

Journal Article

Performance analysis of cogeneration systems based on micro gas turbine (MGT), organic Rankine cycleand ejector refrigeration cycle

Zemin BO, Kai ZHANG, Peijie SUN, Xiaojing LV, Yiwu WENG

Journal Article