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Australia’s large potential forest bioenergy resource is considerably underutilised, due largely to its high delivered costs. Drying forest biomass at the roadside can potentially reduce its delivered cost through weight reduction and increased net calorific value. There has been little research on the impact of roadside drying for Australian conditions and plantation species. This study compared delivered costs for three forest biomass types—Eucalyptus globulus plantation whole trees and logging residue (LR)-disaggregated (LR conventional) or aggregated (LR fuel-adapted)—and three roadside storage scenarios—no storage, ≤two-month storage and optimal storage—to supply a hypothetical thermal power plant in south-west Western Australia. The study was performed using a tactical linear programming tool (MCPlan). Roadside storage reduced delivered costs, with optimal storage (storage for up to 14 months) producing the lowest costs. Delivered costs were inversely related to forest biomass spatial density due to transport cost reductions. Whole trees, which had the highest spatial density, stored under the optimal storage scenario had the lowest delivered costs (AUD 7.89/MWh) while LR conventional, with the lowest spatial density, had the highest delivered costs when delivered without storage (AUD 15.51/MWh). For both LR types, two-month storage achieved ~60% of the savings from the optimal storage scenario but only 23% of the savings for whole trees. The findings suggested that roadside drying and high forest biomass spatial density are critical to reducing forest biomass delivered costs.
Martin Strandgard; Mohammad Taskhiri; Mauricio Acuna; Paul Turner. Impact of Roadside Drying on Delivered Costs for Eucalyptus globulus Logging Residue and Whole Trees Supplying a Hypothetical Energy Plant in Western Australia Using a Linear-Programming Model. Forests 2021, 12, 455 .
AMA StyleMartin Strandgard, Mohammad Taskhiri, Mauricio Acuna, Paul Turner. Impact of Roadside Drying on Delivered Costs for Eucalyptus globulus Logging Residue and Whole Trees Supplying a Hypothetical Energy Plant in Western Australia Using a Linear-Programming Model. Forests. 2021; 12 (4):455.
Chicago/Turabian StyleMartin Strandgard; Mohammad Taskhiri; Mauricio Acuna; Paul Turner. 2021. "Impact of Roadside Drying on Delivered Costs for Eucalyptus globulus Logging Residue and Whole Trees Supplying a Hypothetical Energy Plant in Western Australia Using a Linear-Programming Model." Forests 12, no. 4: 455.
Forest inventories play an important role in enabling informed decisions to be made for the management and conservation of forest resources; however, the process of collecting inventory information is laborious. Despite advancements in mapping technologies allowing forests to be digitized in finer granularity than ever before, it is still common for forest measurements to be collected using simple tools such as calipers, measuring tapes, and hypsometers. Dense understory vegetation and complex forest structures can present substantial challenges to point cloud processing tools, often leading to erroneous measurements, and making them of less utility in complex forests. To address this challenge, this research demonstrates an effective deep learning approach for semantically segmenting high-resolution forest point clouds from multiple different sensing systems in diverse forest conditions. Seven diverse point cloud datasets were manually segmented to train and evaluate this model, resulting in per-class segmentation accuracies of Terrain: 95.92%, Vegetation: 96.02%, Coarse Woody Debris: 54.98%, and Stem: 96.09%. By exploiting the segmented point cloud, we also present a method of extracting a Digital Terrain Model (DTM) from such segmented point clouds. This approach was applied to a set of six point clouds that were made publicly available as part of a benchmarking study to evaluate the DTM performance. The mean DTM error was 0.04 m relative to the reference with 99.9% completeness. These approaches serve as useful steps toward a fully automated and reliable measurement extraction tool, agnostic to the sensing technology used or the complexity of the forest, provided that the point cloud has sufficient coverage and accuracy. Ongoing work will see these models incorporated into a fully automated forest measurement tool for the extraction of structural metrics for applications in forestry, conservation, and research.
Sean Krisanski; Mohammad Taskhiri; Susana Gonzalez Aracil; David Herries; Paul Turner. Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning. Remote Sensing 2021, 13, 1413 .
AMA StyleSean Krisanski, Mohammad Taskhiri, Susana Gonzalez Aracil, David Herries, Paul Turner. Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning. Remote Sensing. 2021; 13 (8):1413.
Chicago/Turabian StyleSean Krisanski; Mohammad Taskhiri; Susana Gonzalez Aracil; David Herries; Paul Turner. 2021. "Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning." Remote Sensing 13, no. 8: 1413.
The application of Unmanned Aircraft Systems (UAS) beneath the forest canopy provides a potentially valuable alternative to ground-based measurement techniques in areas of dense canopy cover and undergrowth. This research presents results from a study of a consumer-grade UAS flown under the forest canopy in challenging forest and terrain conditions. This UAS was deployed to assess under-canopy UAS photogrammetry as an alternative to field measurements for obtaining stem diameters as well as ultra-high-resolution (~400,000 points/m2) 3D models of forest study sites. There were 378 tape-based diameter measurements collected from 99 stems in a native, unmanaged eucalyptus pulchella forest with mixed understory conditions and steep terrain. These measurements were used as a baseline to evaluate the accuracy of diameter measurements from under-canopy UAS-based photogrammetric point clouds. The diameter measurement accuracy was evaluated without the influence of a digital terrain model using an innovative tape-based method. A practical and detailed methodology is presented for the creation of these point clouds. Lastly, a metric called the Circumferential Completeness Index (CCI) was defined to address the absence of a clearly defined measure of point coverage when measuring stem diameters from forest point clouds. The measurement of the mean CCI is suggested for use in future studies to enable a consistent comparison of the coverage of forest point clouds using different sensors, point densities, trajectories, and methodologies. It was found that root-mean-squared-errors of diameter measurements were 0.011 m in Site 1 and 0.021 m in the more challenging Site 2. The point clouds in this study had a mean validated CCI of 0.78 for Site 1 and 0.7 for Site 2, with a mean unvalidated CCI of 0.86 for Site 1 and 0.89 for Site 2. The results in this study demonstrate that under-canopy UAS photogrammetry shows promise in becoming a practical alternative to traditional field measurements, however, these results are currently reliant upon the operator’s knowledge of photogrammetry and his/her ability to fly manually in object-rich environments. Future work should pursue solutions to autonomous operation, more complete point clouds, and a method for providing scale to point clouds when global navigation satellite systems are unavailable.
Sean Krisanski; Mohammad Taskhiri; Paul Turner. Enhancing Methods for Under-Canopy Unmanned Aircraft System Based Photogrammetry in Complex Forests for Tree Diameter Measurement. Remote Sensing 2020, 12, 1652 .
AMA StyleSean Krisanski, Mohammad Taskhiri, Paul Turner. Enhancing Methods for Under-Canopy Unmanned Aircraft System Based Photogrammetry in Complex Forests for Tree Diameter Measurement. Remote Sensing. 2020; 12 (10):1652.
Chicago/Turabian StyleSean Krisanski; Mohammad Taskhiri; Paul Turner. 2020. "Enhancing Methods for Under-Canopy Unmanned Aircraft System Based Photogrammetry in Complex Forests for Tree Diameter Measurement." Remote Sensing 12, no. 10: 1652.
Holes and knots are common defects that occur in wood that affect its value for both structural and high-end aesthetic applications. When these defects are internal to wood they are rarely evident from visual inspection. It is therefore important to develop techniques to detect and analyse these defects both in standing trees prior to harvesting them and in processed timber and/or completed wooden structures. This paper presents an effective method to detect and analyse hole defects in wood. The method uses the recorded output wave signal from an ultrasonic device tested on rectangular wood samples. The ultrasonic wave signal is decomposed into its constructive modes using Empirical Mode Decomposition (EMD). This process decomposes a non-stationary non-linear wave signal into its semi-orthogonal bases known as intrinsic mode functions (IMFs). A matrix of all IMFs (except the residual IMF) is then assembled and its covariance matrix derived. The research demonstrates through several experimental studies that the maximum eigenvalue of the proposed covariance matrix is more sensitive to hole defects in wood than traditionally used measures such as time-of-flight. The results provide evidence that the proposed damage sensitive feature (DSF) can successfully detect hole defects in hardwood samples but further work is recommended on its application to other materials. It is anticipated that this method will have wide applicability in the forestry and timber industries for aiding in product value determination.
Mohsen Mousavi; Mohammad Sadegh Taskhiri; Damien Holloway; J.C. Olivier; Paul Turner. Feature extraction of wood-hole defects using empirical mode decomposition of ultrasonic signals. NDT & E International 2020, 114, 102282 .
AMA StyleMohsen Mousavi, Mohammad Sadegh Taskhiri, Damien Holloway, J.C. Olivier, Paul Turner. Feature extraction of wood-hole defects using empirical mode decomposition of ultrasonic signals. NDT & E International. 2020; 114 ():102282.
Chicago/Turabian StyleMohsen Mousavi; Mohammad Sadegh Taskhiri; Damien Holloway; J.C. Olivier; Paul Turner. 2020. "Feature extraction of wood-hole defects using empirical mode decomposition of ultrasonic signals." NDT & E International 114, no. : 102282.
Effective non-destructive methods for identifying poor quality and knotty timber in standing trees can contribute to higher quality timber reaching the appropriate processing mills and to a reduction in transport costs of harvested timber. Eucalyptus nitens is a major temperate plantation hardwood species primarily used in paper production. More recently it has also been considered as a potentially suitable source to produce high quality sawlogs. One important aspect of the economic viability of this sawlog business is being able to differentiate between pruned (higher quality) and unpruned (lower quality) plantation eucalyptus. Low quality stems contain higher percentages of features such as knots and/or branch traces that lessen the quality and value of logs that can be produced. Unfortunately, it is not possible to visually discriminate between pruned and unpruned standing trees and while wood processors do use large x-ray image machines during processing, finding ways to reduce transportation costs by enhancing timber quality remains a major challenge. This research presents results from ultrasonic and thermal testing to non-destructively detect internal defects in 17 year old E. nitens grown in Tasmania, Australia. For the investigation, 12 samples (billets) from different parts of the trunk of an E. nitens tree were selected and conditioned to levels of forest moisture content of 120% (70% water content). The samples were scanned by two ultrasonic techniques through-transmission and pulse-echo. In the through-transmission method, the waves were propagated at 10 cm intervals in the longitudinal direction and at 45 degree angle spacing in the circumferential direction. In the pulse-eco method, the surface of the billets were scanned in 10cms intervals around the billets. Unpruned billets were also evaluated for moisture content using a thermal camera to examine the effect on ultrasonic wave propagation. The ultrasound revealed significant differences between recorded ultrasonic waveforms propagated through unpruned billets and pruned ones. Unpruned billets produce a much larger effect on ultrasonic waves when compared with the waves propagated by the pruned billets tested. The thermal camera highlighted that wet knotty wood tends to have higher moisture content than clear wood except when the timber is air dried which produces a slightly lower moisture content being detected in knotty timber over clear wood. Results provide evidence that in-field non-destructive techniques for standing trees internal structural assessment are viable and could be operationalised within Tasmanian E. nitens plantations.
Mohammad Sadegh Taskhiri; Mohammad Hadi Hafezi; Robin Harle; Dean Williams; Tribikram Kundu; Paul Turner. Ultrasonic and thermal testing to non-destructively identify internal defects in plantation eucalypts. Computers and Electronics in Agriculture 2020, 173, 105396 .
AMA StyleMohammad Sadegh Taskhiri, Mohammad Hadi Hafezi, Robin Harle, Dean Williams, Tribikram Kundu, Paul Turner. Ultrasonic and thermal testing to non-destructively identify internal defects in plantation eucalypts. Computers and Electronics in Agriculture. 2020; 173 ():105396.
Chicago/Turabian StyleMohammad Sadegh Taskhiri; Mohammad Hadi Hafezi; Robin Harle; Dean Williams; Tribikram Kundu; Paul Turner. 2020. "Ultrasonic and thermal testing to non-destructively identify internal defects in plantation eucalypts." Computers and Electronics in Agriculture 173, no. : 105396.
Internationally biomass residues, primarily from forestry and agricultural production cycles, are increasingly being used to produce bio-energy. This case study presents modelling of the potential socio-economic impacts from a proposed co-generation bio-energy plant (under 50 MW) in the Valley Central Industrial Precinct (VCIP) in Northern Tasmania. The modelling uses data related to residue availability and bio-energy generation output to examine and evaluate potential impacts under a range of scenarios. Potential bio-energy residue feedstock is categorised into viable onsite and offsite sources and quantified in terms of their different bio-energy outputs for different sized bio-energy plants. To complete the evaluation of the potential socio-economic impact of the proposed plant, analysis is conducted using the JEDI (Jobs and Economic Development Impact model). The results of the modelling indicate that the location, quality and quantity of biomass residue feedstock and optimal socio-economic impacts are best aligned with the local supply chain by a bio-energy plant of (10 MW). Importantly, the modelling presented in this paper excludes consideration of forest harvest residues as a potential source of biomass residues due to the lack of certainty on the viability of commercial supply to the VCIP. In this context, it is anticipated that the underlying assumptions and approach used in this case study will be of value to other regions exploring the viability of bioenergy generation from biomass residues.
Heesung Woo; Martin Moroni; Joowon Park; Mohammad Sadegh Taskhiri; Paul Turner. Residues and bio-energy generation: A case study modelling value chain optimisation in Tasmania. Energy 2020, 196, 117007 .
AMA StyleHeesung Woo, Martin Moroni, Joowon Park, Mohammad Sadegh Taskhiri, Paul Turner. Residues and bio-energy generation: A case study modelling value chain optimisation in Tasmania. Energy. 2020; 196 ():117007.
Chicago/Turabian StyleHeesung Woo; Martin Moroni; Joowon Park; Mohammad Sadegh Taskhiri; Paul Turner. 2020. "Residues and bio-energy generation: A case study modelling value chain optimisation in Tasmania." Energy 196, no. : 117007.
This research improves understanding of the impact of specific types of truck driver behaviour and temporal scheduling on the effectiveness of a terminal appointment system. A discrete event simulation model of a bulk cargo marine terminal is developed to analyse parameters related to driver behaviour (punctuality and proportion of planned appointments) and temporal scheduling (appointments per time window and time window spacing) on truck flows and turnaround times at the terminal. The model is based on an Australian wood chip export marine terminal currently experiencing significant truck congestion. The terminal operator and stakeholders have expressed interest in the implementation of an appointment system to address this issue. The modelling presented in this research was used to inform their investigation into developing an appointment system solution. Simulation results indicate that the proportion of planned appointments, used as a proxy for the appointment system use, has a significant impact on truck turnaround times. Greater truck arrival punctuality only marginally improves truck turnaround times. Interestingly most optimization approaches continue to focus on improving punctuality through service rules or financial penalties in order to achieve optimal turnaround times. However, the additional cost in terms of complexity or assumptions for optimal solutions against non-optimal approaches are rarely weighed in terms of dividends of the marginal improvements generated. By involving terminal users (drivers and transporters) in the design of an appointment system and its scheduling parameters, terminal operators can significantly improve appointment system use and effectiveness by increasing the probability of positive users’ behaviours.
Mihai Neagoe; Hans-Henrik Hvolby; Mohammad Sadegh Taskhiri; Paul Turner. Understanding the Impact of User Behaviours and Scheduling Parameters on the Effectiveness of a Terminal Appointment System Using Discrete Event Simulation. Security Education and Critical Infrastructures 2019, 27 -34.
AMA StyleMihai Neagoe, Hans-Henrik Hvolby, Mohammad Sadegh Taskhiri, Paul Turner. Understanding the Impact of User Behaviours and Scheduling Parameters on the Effectiveness of a Terminal Appointment System Using Discrete Event Simulation. Security Education and Critical Infrastructures. 2019; ():27-34.
Chicago/Turabian StyleMihai Neagoe; Hans-Henrik Hvolby; Mohammad Sadegh Taskhiri; Paul Turner. 2019. "Understanding the Impact of User Behaviours and Scheduling Parameters on the Effectiveness of a Terminal Appointment System Using Discrete Event Simulation." Security Education and Critical Infrastructures , no. : 27-34.
Cascaded wood utilisation could help to bridge the gap between the rising wood demand and fresh wood availability as well as contributing to a circular economy. However, the economic and environmental implications of cascading wood-based products are not fully known yet and are hence explored in this paper, considering both aspects simultaneously for the first time. The study focuses on the production of the following five products in an integrated system: medium-density fibre, oriented-strand board, particleboard, coated paper and wood pellets. Firstly, a multi-objective optimisation model has been developed to minimise the costs and greenhouse gas emissions of cascaded utilisation of wood. The ε-constraint method has been used to solve the model and derive Pareto optimal solutions. The latter have been used to select two cascaded-utilisation scenarios and compare their environmental performance with two other scenarios: current situation and the use of fresh wood only. The environmental impacts have been estimated using life cycle assessment. The results reveal that cascaded utilisation is more environmentally and economically sustainable than the current situation or the use of fresh wood. One of the scenario (Scenario 2) reduces the impacts by 1%-23% on the current situation; the global warming potential (GWP) is lower by 15%. However, the costs in this scenario are only 4% lower. In another (Scenario 1), the costs are lower by 24% but the reductions in impacts are more limited, ranging from 1%-8% relative to the Reference scenario with the GWP being only 1% lower. The cascaded use of wood also offers the potential to save up to 35% of fresh wood resources, thus contributing to a circular economy. Using only fresh wood (Scenario 3) is the worst option, increasing the costs by 13% while offering small or no environmental benefits in most of the impacts. These results will be of interest to the wood industry, forestry authorities and policy makers.
Mohammad Sadegh Taskhiri; Harish Jeswani; Jutta Geldermann; Adisa Azapagic. Optimising cascaded utilisation of wood resources considering economic and environmental aspects. Computers & Chemical Engineering 2019, 124, 302 -316.
AMA StyleMohammad Sadegh Taskhiri, Harish Jeswani, Jutta Geldermann, Adisa Azapagic. Optimising cascaded utilisation of wood resources considering economic and environmental aspects. Computers & Chemical Engineering. 2019; 124 ():302-316.
Chicago/Turabian StyleMohammad Sadegh Taskhiri; Harish Jeswani; Jutta Geldermann; Adisa Azapagic. 2019. "Optimising cascaded utilisation of wood resources considering economic and environmental aspects." Computers & Chemical Engineering 124, no. : 302-316.
Unmanned Aerial Systems (UAS) are a cost-effective means of collecting forest data conventionally used above the forest canopy. Where forest canopies are dense, limited information about stem structures can be extracted directly due to obscuration by foliage. In these circumstances, complementary ground-based methods including manual measurement and terrestrial laser scanning are deployed, but these techniques are often limited in terms of the scope and scale of data collected by factors including time, field cost and site accessibility. This paper describes the application of a UAS flown below the forest canopy as an efficient and effective approach for stem measurement in areas where the canopy is difficult to penetrate, and as a potential solution to measuring trees in areas of dense undergrowth. The study sites were scanned with a helicopter-mounted VUX-1LR LiDAR sensor and the resulting point clouds were used as a comparison dataset. The measurements extracted from these point-clouds were compared with ground-based measurements of diameter at breast height and relative positions. The below-canopy UAS and the VUX-1LR at 30m had the lowest root-mean-squarederror (RMSE) of 4.1cm, followed by the VUX-1LR at 90m with a RMSE of 4.4cm. The VUX-1LR 60m flight was the most consistent with the highest coefficient of determination, however due to a positive bias, there was an RMSE of 4.5cm. The photogrammetry-based, below-canopy UAS was found to be an efficient and accurate method of extracting DBH and relative position of stems in forests.
Barbara Del Perugia; Sean Krisanski; Mohammad Sadegh Taskhiri; Paul Turner. Below-canopy UAS photogrammetry for stem measurement in radiata pine plantation. Remote Sensing for Agriculture, Ecosystems, and Hydrology XX 2018, 10783, 1078309 .
AMA StyleBarbara Del Perugia, Sean Krisanski, Mohammad Sadegh Taskhiri, Paul Turner. Below-canopy UAS photogrammetry for stem measurement in radiata pine plantation. Remote Sensing for Agriculture, Ecosystems, and Hydrology XX. 2018; 10783 ():1078309.
Chicago/Turabian StyleBarbara Del Perugia; Sean Krisanski; Mohammad Sadegh Taskhiri; Paul Turner. 2018. "Below-canopy UAS photogrammetry for stem measurement in radiata pine plantation." Remote Sensing for Agriculture, Ecosystems, and Hydrology XX 10783, no. : 1078309.
Internationally forest biomass is considered to be a valuable renewable energy feedstock. However, utilization of forest harvesting residues is challenging because they are highly varied, generally of low quality and usually widely distributed across timber harvesting sites. Factors related to the collection, processing and transport impose constraints on the economic viability of residue utilization operations and impact their supply from dispersed feedstock locations. To optimize decision-making about suitable locations for biomass energy plants intending to use forest residues, it is essential to factor in these supply chain considerations. This study conducted in Tasmania, Australia presents an investigation into the integration of Multi-criteria analysis (MCA) and Geographical Information systems (GIS) to identify optimal locations for prospective biomass power plants. The amount of forest harvesting biomass residues was estimated based on a non-industrial private native resource model in Tasmania (NIPNF). The integration of MCA and a GIS model, including a supply chain cost analysis, allowed the identification and analysis of optimal candidate locations that balanced economic, environmental, and social criteria within the biomass supply. The study results confirm that resource availability, land use and supply chain cost data can be integrated and mapped using GIS to facilitate the determination of different sustainable criteria weightings, and to ultimately generate optimal candidate locations for biomass energy plants. It is anticipated that this paper will make a contribution to current scientific knowledge by presenting innovative approaches for the sustainable utilization of forest harvest residues as a resource for the generation of bioenergy in Tasmania.
Heesung Woo; Mauricio Acuna; Martin Moroni; Mohammad Sadegh Taskhiri; Paul Turner. Optimizing the Location of Biomass Energy Facilities by Integrating Multi-Criteria Analysis (MCA) and Geographical Information Systems (GIS). Forests 2018, 9, 585 .
AMA StyleHeesung Woo, Mauricio Acuna, Martin Moroni, Mohammad Sadegh Taskhiri, Paul Turner. Optimizing the Location of Biomass Energy Facilities by Integrating Multi-Criteria Analysis (MCA) and Geographical Information Systems (GIS). Forests. 2018; 9 (10):585.
Chicago/Turabian StyleHeesung Woo; Mauricio Acuna; Martin Moroni; Mohammad Sadegh Taskhiri; Paul Turner. 2018. "Optimizing the Location of Biomass Energy Facilities by Integrating Multi-Criteria Analysis (MCA) and Geographical Information Systems (GIS)." Forests 9, no. 10: 585.
Using an Australian wood chip export terminal as a case study, this research presents a terminal gate simulation model that improves understanding of the complex interactions at the terminal gate and describes the potential of information and digital systems alternatives for mitigating congestion. The alternatives modelled include: a terminal appointment system to schedule truck arrivals; integrating weigh-bridge information to eliminate one stage of the unloading process; and, reducing conveyor operation time. Simulation results indicate that a terminal appointment system can reduce turnaround times by up to 23%, primarily through a reduction in waiting times. Integrating weigh-bridge information can improve turnaround by up to 18%, while reducing the conveyor operation time can improve turnaround by up to 5%. The paper highlights that achieving these simulated results in practice actually relies on a range of factors and assumptions hard to embed in the simulation. These factors influence the nature of the complex interactions at the terminal gate and include the extent to which stakeholders are willing to share information and develop or retain levels of trust between each other. The paper argues that one potentially effective strategy for aligning stakeholders’ interests involves engaging them all in the decision-making processes in finding and developing a suitable congestion management solution. This approach mitigates concerns regarding system abuse, ensures all technological and business requirements of stakeholders are considered and, enhances the implementation process to deliver increased effectiveness of the solution. This research is part of a major ongoing research project undertaken in Australia funded by the Australian Research Council through the Industrial Transformation Research Program.
Mihai Neagoe; Mohammad Sadegh Taskhiri; Hong-Oanh Nguyen; Paul Turner. Exploring the Role of Information Systems in Mitigating Gate Congestion Using Simulation: Theory and Practice at a Bulk Export Terminal Gate. Security Education and Critical Infrastructures 2018, 367 -374.
AMA StyleMihai Neagoe, Mohammad Sadegh Taskhiri, Hong-Oanh Nguyen, Paul Turner. Exploring the Role of Information Systems in Mitigating Gate Congestion Using Simulation: Theory and Practice at a Bulk Export Terminal Gate. Security Education and Critical Infrastructures. 2018; ():367-374.
Chicago/Turabian StyleMihai Neagoe; Mohammad Sadegh Taskhiri; Hong-Oanh Nguyen; Paul Turner. 2018. "Exploring the Role of Information Systems in Mitigating Gate Congestion Using Simulation: Theory and Practice at a Bulk Export Terminal Gate." Security Education and Critical Infrastructures , no. : 367-374.
Tasmania eucalyptus nitens is one of the most important plantation hardwood species used for paper production. Forest growers and wood processing companies have recently considered it for the production of high quality sawlog. The high quality sawlog, however, can be produced from pruned plantation eucalyptus niten as the unpruned one contains several knots and cracks which lessen the quality of the log. Thus, it is vital for forest growers to deliver pruned log to wood processing companies. The pruned log, however, could not be discriminated from unpruned stems by harvester within the plantation plot due to self (natural) pruning process of unpruned tree. This leads to the delivery of the pruned log to the processors challenging. Although wood processors use large x-ray image machines during processing to optimise wood recovery, high costs are incurred from transporting poor quality, knotty timber following the harvest. In this paper, a 17 year old eucalyptus nitens has been considered for non-destructive evaluation. The aim is to investigate the effects of the defects including knots and cracks on the ultrasonic wave. 12 samples from different parts of trunk have been selected and conditioned at the forest moisture content of 120% (70% water content). The samples were scanned by ultrasonic waves at every 10 cm distance in longitudinal direction and at every 45 degree spacing in circumferential direction along the samples. Results show that there is a significant difference between recorded ultrasonic waveforms propagated through unpruned billets and pruned ones. The unpruned billets had a larger effect on ultrasonic waves while the waves are relatively steady when pruned billets are tested.
Mohammad Sadegh Taskhiri; Paul Turner; Hadi Hafezi. Non-destructive evaluation of a plantation eucalyptus. Health Monitoring of Structural and Biological Systems XII 2018, 10600, 1060023 .
AMA StyleMohammad Sadegh Taskhiri, Paul Turner, Hadi Hafezi. Non-destructive evaluation of a plantation eucalyptus. Health Monitoring of Structural and Biological Systems XII. 2018; 10600 ():1060023.
Chicago/Turabian StyleMohammad Sadegh Taskhiri; Paul Turner; Hadi Hafezi. 2018. "Non-destructive evaluation of a plantation eucalyptus." Health Monitoring of Structural and Biological Systems XII 10600, no. : 1060023.
Mohammad Sadegh Taskhiri; Matthias Garbs; Jutta Geldermann. Sustainable logistics network for wood flow considering cascade utilisation. Journal of Cleaner Production 2016, 110, 25 -39.
AMA StyleMohammad Sadegh Taskhiri, Matthias Garbs, Jutta Geldermann. Sustainable logistics network for wood flow considering cascade utilisation. Journal of Cleaner Production. 2016; 110 ():25-39.
Chicago/Turabian StyleMohammad Sadegh Taskhiri; Matthias Garbs; Jutta Geldermann. 2016. "Sustainable logistics network for wood flow considering cascade utilisation." Journal of Cleaner Production 110, no. : 25-39.
Mohammad Sadegh Taskhiri. Sustainable Supply Chain Management: Practical Ideas for Moving Towards Best Practice. Journal of Cleaner Production 2016, 110, 200 .
AMA StyleMohammad Sadegh Taskhiri. Sustainable Supply Chain Management: Practical Ideas for Moving Towards Best Practice. Journal of Cleaner Production. 2016; 110 ():200.
Chicago/Turabian StyleMohammad Sadegh Taskhiri. 2016. "Sustainable Supply Chain Management: Practical Ideas for Moving Towards Best Practice." Journal of Cleaner Production 110, no. : 200.
The Ulsan Eco-Industrial Park (EIP) in South Korea houses as many as 1,000 companies, which generate about 524,000 t/year of organic waste. Of this total, 34 % is recycled, 8 % is incinerated with energy recovery, and the rest (58 %) is disposed of by ocean dumping (45 %), landfilling (11 %), or incineration without energy recovery (2 %). Although 42 % of the total waste generated at Ulsan EIP is recycled for material and energy recovery, additional opportunities to recover energy from improperly disposed of or incompletely utilized waste are possible through existing waste-to-energy (WTE) networks. To find an optimal WTE network in the Ulsan EIP, a fuzzy mixed integer linear programming mathematical model was developed to meet energy supply and demand (in terms of both quantity and grade) while considering the satisfaction level of potential stakeholders (e.g., the EIP initiator and tenants). The developed model was applied to two different scenarios that considered the requirements of EIP tenants for waste treatment and energy recovery. Based on the satisfaction level of the stakeholders, the WTE networks were analyzed to establish an optimal WTE network with maximum energy production and a minimal payback period.
Mohammad Sadegh Taskhiri; Shishir Kumar Behera; Raymond R. Tan; Hung-Suck Park. Fuzzy optimization of a waste-to-energy network system in an eco-industrial park. Journal of Material Cycles and Waste Management 2014, 17, 476 -489.
AMA StyleMohammad Sadegh Taskhiri, Shishir Kumar Behera, Raymond R. Tan, Hung-Suck Park. Fuzzy optimization of a waste-to-energy network system in an eco-industrial park. Journal of Material Cycles and Waste Management. 2014; 17 (3):476-489.
Chicago/Turabian StyleMohammad Sadegh Taskhiri; Shishir Kumar Behera; Raymond R. Tan; Hung-Suck Park. 2014. "Fuzzy optimization of a waste-to-energy network system in an eco-industrial park." Journal of Material Cycles and Waste Management 17, no. 3: 476-489.
The establishment of an eco-industrial park (EIP) provides opportunity for individual plants to cooperate with each other in order to utilize resources efficiently and thus reduce waste. The goal of an EIP is to “close the loop” through recycling and reuse of material and energy streams. Studies show with current freshwater consumption trends there would be water stress aggravated by global warming in the near future. This paper presents a model to design an EIP water reuse network that considers overall system sustainability as measured with emergy, as well as cost saving desired by individual plants. Case studies from literature are then solved to illustrate the advantage of this method in decision making. The illustrative examples show how the model achieves a compromise among the potentially conflicting fuzzy goals of the various EIP stakeholders.
Mohammad Sadegh Taskhiri; Raymond R. Tan; Anthony Shun Fung Chiu. Emergy-based fuzzy optimization approach for water reuse in an eco-industrial park. Resources, Conservation and Recycling 2011, 55, 730 -737.
AMA StyleMohammad Sadegh Taskhiri, Raymond R. Tan, Anthony Shun Fung Chiu. Emergy-based fuzzy optimization approach for water reuse in an eco-industrial park. Resources, Conservation and Recycling. 2011; 55 (7):730-737.
Chicago/Turabian StyleMohammad Sadegh Taskhiri; Raymond R. Tan; Anthony Shun Fung Chiu. 2011. "Emergy-based fuzzy optimization approach for water reuse in an eco-industrial park." Resources, Conservation and Recycling 55, no. 7: 730-737.
The eco-industrial park (EIP) concept provides a framework in which several plants can cooperate with each other and exchange their wastewater to minimize total freshwater consumption. Emergy analysis is a methodology that considers the total, cumulative energy which has been consumed within a system; thus, by minimizing emergy, an environmentally optimal EIP can be designed. This article presents a mixed-integer linear programming (MILP) model for minimizing emergy of an interplant water network in an EIP. The methodology accounts for the environmental impacts of water use, energy consumption, and capital goods within the EIP in a balanced manner. The proposed technique is then demonstrated by solving a case study from literature.
Mohammad Sadegh Taskhiri; Raymond R. Tan; Anthony S. F. Chiu. MILP model for emergy optimization in EIP water networks. Clean Technologies and Environmental Policy 2010, 13, 703 -712.
AMA StyleMohammad Sadegh Taskhiri, Raymond R. Tan, Anthony S. F. Chiu. MILP model for emergy optimization in EIP water networks. Clean Technologies and Environmental Policy. 2010; 13 (5):703-712.
Chicago/Turabian StyleMohammad Sadegh Taskhiri; Raymond R. Tan; Anthony S. F. Chiu. 2010. "MILP model for emergy optimization in EIP water networks." Clean Technologies and Environmental Policy 13, no. 5: 703-712.