Abstract

JODE purposes to deliver international readers with high quality peer-reviewed academic articles on a wide variety of issues related to open and distance learning, in areas such as technology-assisted learning, computer based training, computer-aided instruction or computer assisted instruction, internet-based training, web-based training, online training, virtual training, virtual learning environments, m-learning, digital education, education on social networking, massive online open courses, game-based learning, active learning, content design, e-assessment, mobile applications, e-video, the quality of open and distance education and accreditation etc. Document type: Part of book or chapter of book

Abstract

Environmental impact assessment (EIA) is a systematic process designed to identify and predict the potential impacts of human activity on the biophysical and human environment. It also functions as an environmental management tool to identify measures to avoid, mitigate or compensate for those effects. EIA is intended to be an iterative process to follow-up to projects postimplementation to determine actual environmental outcomes, interpret and communicate information about those outcomes and investigate opportunities for improved project environmental performance. Originating from the United States’ National Environmental Policy Act of 1970, EIA is now amongst the most successful and widely practiced environmental management tools in the world. Key Concepts: EIA is an aid to decision making through which concerns about the potential environmental consequences of proposed projects are assessed before those projects become a reality. Screening in EIA ensures that assessments are done when needed and not done when not needed. Scope is essential to good EIA and the goal is to focus on a select set of environmental components that are deemed important from scientific, public or regulatory perspectives and are likely to be adversely affected by the project. The underlying intent of EIA is to allow project proponents, managers and decision makers to enhance the benefits of proposed development projects and to mitigate potentially adverse impacts to the point of acceptability. EIA must be applied early in the development planning processes if it is to be influential in project design and decision making. Information gained in EIA follow-up studies, after the project is implemented, provides feedback to improve predictions and mitigation and management programmes, and an opportunity to learn for subsequent project proposals. Keywords: environmental impact assessment; baseline studies; impact prediction; mitigation and management of impacts; cumulative environmental effects; follow-up studie

Abstract

The development of Molecor´s technology, which is based on the application of a Molecular Orientation process, has delivered a significant turning point in the pipelines sector. With this technological development, the company has begun to manufacture TOM® PVC-O pipes, the most eco-friendly pipes on the market. The Molecor technology enabled eradicating many of the existing disadvantages of thermoplastic pipes. This technology delivers a clear objective; to provide the water industry with a solution for pipes carrying pressurized water in an environmentally friendly, yet cost efficient manner. This also extends a service life compared to pipeline materials currently in use. The Molecor´s technology has faced numerous barriers due to the high level of competitiveness in the market and the relatively short period since its development. Notwithstanding, the technology is now highly recognized by the market and has spread continuously and gradually over the world to the five continents. We have served many international markets: North America (i.e., Canada), South America (i.e., Colombia and Ecuador), European countries (i.e., Italy and Spain), African countries (i.e., South Africa) and East countries (i.e., India, Kazakhstan, Malaysia and Australia).

Abstract

This document provides the AEOLIX impact assessment of living labs at the operational level. It is based on three main impacts namely business, environment, and socio-economic impacts. The three impacts are sub-divided further into sub-categories. The report collects data from twelve living labs involved in with AEOLIX. One of the main goals of AEOLIX was to reduce the costs for various logistics activities as implemented in twelve living labs. The expected benefits in the business area are from reducing the consumption of different resources, reducing the time used for various activities, and from increasing the productivity in certain areas. The economic or business benefits came along two dimensions: (i) in terms of time and (ii) in terms of money. In terms of time, AEOLIX facilitated reducing the time spent on various activities at the companies. In terms of money, AEOLIX helped to save the costs of specific logistics activities within the living lab. For the environmental aspect an overall value of 20% was set as target value for reduction in CO2 emission using AEOLIX. Only one of all living labs reached this target value, but there was anyhow a reduction found in all living labs. AEOLIX and its functions have also helped in reducing noise pollution at some of the living labs. In some cases, there was quite a considerable reduction. For the socio-economic aspects the job creation, SME empowerment, and the improved quality of life are addressed. This study has explored the impact of AEOLIX on job creation in terms of drivers’ and operators’ jobs. Since the AEOLIX implementation is still in its initial phases, respondents were unable to estimate how many jobs (drivers and/or operators) were created in the long run. SME Empowerment was measured as the increase in SMEs’ market share and the increase in direct collaboration between SMEs and large organizations. The results were meager both with regard to the market share and the extent of collaboration. The improved quality of life is measured in the way AEOLIX puts more focus on work, the less stress at work and a positive attitude towards people using it. The results reflect that AEOLIX has greatly helped employees to put more focus on work and to reduce stress levels. Managers consider this as a positive side of the return on investment (ROI) as the business processes are improved. AEOLIX impact on various socio-economic aspects is in principle positive but as this process is very slow to emerge it takes time to observe any changes in social aspects. Acceptance and trust on AEOLIX can be captured as a majority of the evaluation managers of the living labs found the AEOLIX functions (dashboard, connectivity engine and toolkit) useful to a great extent. The willingness to continue using AEOLIX functions and their usefulness are directly related to each other. This means that the more useful a function is, the more users are willing to continue using it. The AEOLIX platform, through various services and functions, has a positive impact on society in general and on workers in particular. Although this impact cannot be evaluated financially for the first year of the AEOLIX implementation, numerous studies show that a more satisfying and less stressful job, together with a more welcoming and stimulating environment, have an important economic impact in the long-term period. Therefore, the fact that AEOLIX has a positive impact on society will also prove to be an economic benefit for the different companies.

Abstract

Urban consolidation centers (UCCs) have a key role in many initiatives in urban logistics, yet few of them are successful in the long run. The high costs have proven a barrier that prevents attracting a sufficient high number of UCC users. In this paper, we study how the user base of a UCC develops under a variety of administrative policies. We perform an agent-based simulation applied to the city of Copenhagen, making use of its real street network and retailer locations. We collect data from a variety of sources to help modeling the agents. Both the data and case setup are validated by means of expert interviews. We test 1,458 schemes that combine several administrative measures and cost settings. The numerical results indicate that most schemes yield significant environmental benefits; many of them are able to reduce the truck kilometers driven by about 65% and emissions by about 70%. The key challenge isto identify schemes that are also financially sustainable. We show that it is essential for the UCC to ensure the commitment of carriers as soon as possible, as the bulk of the revenue can be generated from this target group. Subsequent revenues may be generated by offering value-adding services to receivers. Based on the numerical experiments, we pose various propositions that aid in providing favorable conditions for a UCC, improving its chances of long-term success. Document type: Article

Abstract

In most gravity fed water transmission pipelines, it is desired to reduce excess pressure head to prevent undue strain on a pipeline and lower the incidence of leaks. Normally this is done with pressure reducing valves that essentially burn off this excess pressure as heat. The LucidPipe™ system converts it to low cost electricity thereby removing unwanted pressure and generating energy at the same time - energy that can be put used behind the grid or put back on the grid. The LucidPipe™ system extracts a small percentage of pressure head providing nearly invisible operation allowing water operators to fulfill their primary mission of delivering water to consumers. Because the LucidPipe™ system extracts only a small percentage of pressure head when operating, and about 1 psi of pressure head when stopped, it is virtually invisible in a pipe network and can be placed directly in-line without the need of a bypass for the turbine. Traditional hydropower turbines effectively halt the flow of water when stopped, and can cause dangerous water hammer when grid power is disconnected so they must be placed in a bypass to not interrupt the safe delivery of water. Also, traditional hydropower turbines operate in a narrow band of pressures and flows whereas the LucidPipe™ system has a wide operating range typically found in municipal water transmission system. The LucidPipe™ system adjusts to meet the demands of water delivery rather than a water operator having to adjust the water to meet the demands of the turbine.

Abstract

Caterpillar developed MDP (Machine Drive Power) technology to fill this gap. Rather than an accelerometer and vibratory drum, it uses the principle of rolling resistance to provide indications of soil stiffness. This allows it to perform more reliably on cohesive and granular soils with less variability than accelerometer systems. It also means that the technology can be used on both vibratory and static drum compactors, which are often used on larger sites. While the technology is quite useful on its own, it is even better as a complementary technology to the existing accelerometer-based systems. Contractors who use vibratory soil compactors equipped with MDP and accelerometer-based measurement systems enjoy the widest application range, able to ensure uniform, high quality compaction on nearly any soil type.

Abstract

Triax’s Spot-r system was developed to tackle the construction industry’s unique safety and productivity challenges, stemming from a demonstrated lack of total jobsite visibility and automatically collected, easily accessible field data. Spot-r by Triax combines a proprietary mesh network with sensor technology to record and transmit previously unattainable workforce and equipment location, activity and safety data within a defined area – all in real-time. The Spot-r network is installed around the site and operates in a 900 MHz network, with a subset using a cellular connection to forward Spot-r sensor data to Triax’s custom, cloud dashboard. In the hazardous construction environment, the wearable Spot-r Clip detects worker slips, trips, or falls on site and sends automatic alerts to designated personnel. Workers can also trigger an alert to supervisors via their wearable device. In a situation that requires an evacuation, superintendents can activate the Spot-r EvacTag, which augments current evacuation procedures with a visual, high-decibel alarm. Real-time worker headcounts and floor- and zone-based location via the Spot-r dashboard eliminates time spent tracking down people or information and helps account for workers during an evacuation. Operating off the same network and working with the Spot-r Clip, the Spot-r EquipTag adheres to nearly any piece of equipment to track real-time location, utilization, and operator identity, providing a comprehensive view of how resources are interacting on site. Aggregate utilization data by operator, subcontractor, zone, or time period helps coordinate resources and minimize downtime. By automatically collecting real-time data from workers and equipment - without technical limitations such as wireless internet, project scope, or clear line of sight to the sky - Spot-r provides unprecedented visibility into site operations and safety, helping contractors build safer and smarter. Spot-r is currently being used on more than 40 sites by some of the nation’s leading contractors, including Turner and Gilbane.

Abstract

The Life Cycle Energy Optimisation (LCEO) methodology aims at finding a design solution that uses a minimum amount of cumulative energy demand over the different phases of the vehicle's life cycle, while complying with a set of functional constraints. This effectively balances trade-offs, and therewith avoids sub-optimal shifting between the energy demand for the cradle-to-production of materials, operation of the vehicle, and end-of-life phases. This work further develops the LCEO methodology and expands its scope through three main methodological contributions which, for illustrative purposes, were applied to a vehicle sub-system design case study. An End-Of-Life (EOL) model, based on the substitution with a correction factor method, is included to estimate the energy credits and burdens that originate from EOL vehicle processing. Multiple recycling scenarios with different levels of assumed induced recyclate material property degradation were built, and their impact on the LCEO methodology's outcomes was compared to that of scenarios based on landfilling and incineration with energy recovery. The results show that the inclusion of EOL modelling in the LCEO methodology can alter material use patterns and significantly effect the life cycle energy of the optimal designs. Furthermore, the previous model is expanded to enable holistic vehicle product system design with the LCEO methodology. The constrained optimisation of a vehicle sub-system, and the design of a subset of the processes which are applied to it during its life cycle, are simultaneously optimised for a minimal product system life cycle energy. In particular, a subset of the EOL processes' parameters are considered as continuous design variables with associated barrier functions that control their feasibility. The results show that the LCEO methodology can be used to find an optimal design along with its associated ideal synthetic EOL scenario. Moreover, the ability of the method to identify the underlying mechanisms enabling the optimal solution's trade-offs is further demonstrated. Finally, the functional scope of the methodology is expanded through the inclusion of shape-related variables and aerodynamic drag estimations. Here, vehicle curvature is taken into account in the LCEO methodology through its impact on the aerodynamic drag and therewith its related operational energy demand. In turn, aerodynamic drag is considered through the estimation of the drag coefficient of a vehicle body shape using computational fluid dynamics simulations. The aforementioned coefficient is further used to estimate the energy required by the vehicle to overcome aerodynamic drag. The results demonstrate the ability of the LCEO methodology to capitalise on the underlying functional alignment of the structural and aerodynamic requirements, as well as the need for an allocation strategy for the aerodynamic drag energy within the context of vehicle sub-system redesign. Overall, these methodological developments contributed to the exploration of the ability of the LCEO methodology to handle life cycle and functional trade-offs to achieve life cycle energy optimal vehicle designs. Livscykelenergioptimerings-metodologin (LCEO) syftar till att hitta en designlösning som använder en minimal mängd av energi ackumulerat över de olika faserna av en produkts (i detta arbete i formen av ett fordon) livscykel, samtidigt som den uppfyller en förutbestämd uppsättning funktionella begränsningar. Genom detta kan avvägningar balanseras effektivt, och därmed undviks suboptimala förskjutningar mellan energibehovet för vagga-till-produktion av material, fordonets användningsfas samt hantering av det uttjänta fordonet, på engelska kallad End-Of-Life (EOL). Detta arbete vidareutvecklar LCEO-metodologin och utvidgar dess omfattning genom tre huvudsakliga metodologiska bidrag, som, för illustrativa syften, har applicerats på en fallstudie av ett fordons sub-systemdesign. En EOL-modell baserad på substitution med korrigeringsfaktorer, är inkluderad för att uppskatta energikrediter och bördor som härrör från hanteringen av det uttjänta fordonet. Flera olika scenarier som beskriver återvinning med olika nivåer av antagen degradering av egenskaper hos de återvunna materialen har definierats, och deras respektive LCEO utfall har jämförts med motsvarande resultat för scenarier baserade på deponering och förbränning med energiåtervinning. Resultaten visar att införandet av en EOL-modell i LCEO-metodologin kan ändra flöden och mönster kring materialanvändning och har en signifikant påverkan på den totala livscykelenergin i de optimala fordonsdesignen Då valet av EOL-modell har signifikans för LCEO utfallet, har de föregående, statiska modellerna kompletterats med en utvidgning mot en mer holistisk systemstudie utifrån LCEO. I denna utvidgning studeras frågor kring optimerade produktsystem, framförallt avseende en delmängd av EOL processernas parametrar som har inkluderats i form av kontinuerliga designvariabler med antagna barriärfunktioner som modellerar deras genomförbarhet. Resultaten visar att LCEO kan användas för att finna den optimala designen av en fordonskomponent tillsammans med dess associerade, ideala, syntetiska EOL-scenario. Dessutom demonstreras metodens förmåga att identifiera de underliggande mekanismer som möjliggör den optimala lösningens avvägningar. För att utöka komplexiteten i de ansatta funktionella begränsningarna har även form-relaterade variabler och aerodynamiska motståndsberäkningar tagits med. I det här fallet används krökningen på den studerade fordonskomponenten som ytterligare en variabel i LCEO analyser, med dess inverkan på det aerodynamiska motståndet och i och med detta variationer i användningsfasens energibehov. I detta fallet har det aerodynamiska motståndet tagits med i analysen genom uppskattning av motståndskoefficienten av en fordonskomponent framtagen genom strömningsmekaniska beräkningar. Denna uppskattning används sedan för att modellera den energi som krävs av fordonet för att övervinna det aerodynamiska luftmotståndet. I detta sammanhang visas också på behovet av en strategi för allokering av den aerodynamiska motståndsenergin hos en sub-komponent i relation till helheten, när fokus ligger på design av ett sub-system hos ett fordon. Resultaten visar att LCEO beskriver den underliggande funktionella synergin mellan de ansatta strukturella och de aerodynamiska kraven. Detta arbete bidrar till att LCEO utvecklas i flera olika avseenden som utgör väsentliga steg mot en pro-aktiv metod som kan hantera livscykel- och funktionella avvägningar i en optimal fordonsdesign ur ett livscykelenergiperspektiv.

Abstract

Through complementary experimental and numerical efforts, the present paper aims to make a significant contribution to the overall understanding of backfilling processes beneath submarine pipelines. For this purpose, we aim to simplify the experimental backfilling process to an elementary two-stage process: (1) initial scour induced by a pure current, followed by: (2) backfilling induced by pure waves. A steady current is introduced via a re-circulating pump, and is kept constant with a cross-sectional velocity of V = 0.48 m/s until an initial equilibrium scour depth, S0, is reached. Then, the current is stopped and waves (characterized by their Keulegan-Carpener number KC and Shields parameter θ)are introduced to initiate the backfilling process, which is maintained until a new equilibrium scour depth, Sf, is reached. The time at which waves are introduced will be denoted as t = 0. For the backfilling process both regular and irregular waves are used during the experiments. As a demonstration of the initiated two-stage (scour followed by backfilling) process, bed profiles based on video recordings from a case having KC = 9.7 and ϴ = 0.195,are depicted at selected stages in Figure 1. Figure 1(upper left) depicts the current-induced equilibrium scour hole in the near vicinity of the pipe at t = 0, with the profile approximated as the dashed red line. Similarly, Figure 1(upper right) depicts the new equilibrium scour profile (approximated as the full blue line) that has developed under wave-induced backfilling, corresponding to t = 60min. To ease comparison, the dashed red and full bluelines from these plots are additionally combined onto Figure 1 (bottom).The experimental campaign has additionally been complemented with similar numerical simulations (using regular waves), based on a fully-coupled hydrodynamicand morphodynamic CFD model (Jacobsen et al., 2014),extending previous pipeline scour-related applications ofFuhrman et al. (2014) and Larsen et al. (2016). Comparison of the numerical and experimental results demonstrate the ability of the CFD model to reasonably simulate the current-to-wave backfilling process, both interms of the achieved new wave induced equilibriumscour depths as well as the corresponding backfilling timescales. Figure 2 depicts a summary of both experimental and numerical backfilling time scale Tb versus Shields parameter θ. As can be seen, both experimental as well as numerical results match the regression equation:T"sub"b"/sub"=0.3 θ-"sup"5/3 "/sup"quite closely (solid line in Figure 2).