8,938 research outputs found

    A Decision Support System for Economic Viability and Environmental Impact Assessment of Vertical Farms

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    Vertical farming (VF) is the practice of growing crops or animals using the vertical dimension via multi-tier racks or vertically inclined surfaces. In this thesis, I focus on the emerging industry of plant-specific VF. Vertical plant farming (VPF) is a promising and relatively novel practice that can be conducted in buildings with environmental control and artificial lighting. However, the nascent sector has experienced challenges in economic viability, standardisation, and environmental sustainability. Practitioners and academics call for a comprehensive financial analysis of VPF, but efforts are stifled by a lack of valid and available data. A review of economic estimation and horticultural software identifies a need for a decision support system (DSS) that facilitates risk-empowered business planning for vertical farmers. This thesis proposes an open-source DSS framework to evaluate business sustainability through financial risk and environmental impact assessments. Data from the literature, alongside lessons learned from industry practitioners, would be centralised in the proposed DSS using imprecise data techniques. These techniques have been applied in engineering but are seldom used in financial forecasting. This could benefit complex sectors which only have scarce data to predict business viability. To begin the execution of the DSS framework, VPF practitioners were interviewed using a mixed-methods approach. Learnings from over 19 shuttered and operational VPF projects provide insights into the barriers inhibiting scalability and identifying risks to form a risk taxonomy. Labour was the most commonly reported top challenge. Therefore, research was conducted to explore lean principles to improve productivity. A probabilistic model representing a spectrum of variables and their associated uncertainty was built according to the DSS framework to evaluate the financial risk for VF projects. This enabled flexible computation without precise production or financial data to improve economic estimation accuracy. The model assessed two VPF cases (one in the UK and another in Japan), demonstrating the first risk and uncertainty quantification of VPF business models in the literature. The results highlighted measures to improve economic viability and the viability of the UK and Japan case. The environmental impact assessment model was developed, allowing VPF operators to evaluate their carbon footprint compared to traditional agriculture using life-cycle assessment. I explore strategies for net-zero carbon production through sensitivity analysis. Renewable energies, especially solar, geothermal, and tidal power, show promise for reducing the carbon emissions of indoor VPF. Results show that renewably-powered VPF can reduce carbon emissions compared to field-based agriculture when considering the land-use change. The drivers for DSS adoption have been researched, showing a pathway of compliance and design thinking to overcome the ‘problem of implementation’ and enable commercialisation. Further work is suggested to standardise VF equipment, collect benchmarking data, and characterise risks. This work will reduce risk and uncertainty and accelerate the sector’s emergence

    The Adirondack Chronology

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    The Adirondack Chronology is intended to be a useful resource for researchers and others interested in the Adirondacks and Adirondack history.https://digitalworks.union.edu/arlpublications/1000/thumbnail.jp

    Conscience and Consciousness: British Theatre and Human Rights.

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    This research project investigates a paradigm of human rights theatre. Through the lens of performance and theatre-making, this thesis explores how we came to represent, speak about, discuss, and own human rights in Britain. My framework of ‘human rights theatre’ proposes three distinctive features: firstly, such works dramatise real-world issues and highlights the role of the state in endangering its citizens; secondly, ethical ruptures are encountered within and without the drama, and finally, these performances characteristically aspire to produce an activist effect on the collective behaviours of the audience. This thesis interrogates the strategies theatre-makers use to articulate human rights concerns or to animate human rights intent. The selected case-studies for this investigation are ice&fire’s testimonial project, Actors for Human Rights; Badac Theatre; Jonathan Holmes’ work as director of Jericho House; Cardboard Citizens’ youth participation programme, ACT NOW; and Tony Cealy’s Black Men’s Consortium. Deliberately selecting companies and performance events that have received limited critical attention, my methodology constellates case-studies through original interviews, durational observation of creative working methods and proximate descriptions of practice. The thesis is interested in the experience of coming to ‘consciousness’ through human rights theatre, an awakening to the impacts of rights infringements and rights claiming. I explore consciousness as a processual, procedural, and durational happening in these performance events. I explore the ‘æffect’ of activist art and examine the ways in which makers of human rights theatre aim to amplify both affective and effective qualities in their work. My thesis also considers the articulation of activist purpose and the campaigning intent of the selected theatre-makers and explores how their activism is animated in their productions. Through the rich seam of discussion generated by the identification and exploration of the traits of a distinctive human rights theatre, I affirm the generative value of this typological enquiry

    Investigative Methods: An NCRM Innovation Collection

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    This Innovation Collection on investigative methods brings together investigators working in different domains, sectors, and on different topics of interest to help capture the breadth, scope and relevance of investigative practices over 10 substantive chapters. Each of the papers presents a different investigative method or set of methods and, through case studies, attempts to demonstrate their value. All the contributions, in different ways and for different purposes, seek to reconstruct acts, events, practices, biographies and/or milieux, to which the researchers in question lack direct access, but which they want to reconstruct via the traces those phenomena leave behind, traces themselves often produced as part of the phenomena under investigation. These include reports of methods used in investigations on: - The use of force by state actors, including into police violence, military decisions to attack civilians, the provenance of munitions used to attack civilians, and the use and abuse of tear gas; - Networks of far-right discourse, and its links to criminal attacks and state-leveraged misinformation campaigns; - Archives to establish the penal biographies of convicts and the historical practices of democratic petitioning; - Corporate structures and processes that enable tax avoidance and an avoidance of legal responsibilities to workers and the environment. A working principle of the collection is that investigative methods may be considered, alongside creative, qualitative, quantitative, digital, participatory and mixed methods, a distinct yet complementary style of research

    The Carbon Footprint of WEEE (Waste Electronic and Electrical Equipment) in the UK – a case study based on the UK’s largest WEEE producer compliance scheme

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    500,000 tonnes of waste electrical and electronic equipment (WEEE) is collected and treated in the authorised WEEE system in the UK annually. Greenhouse gas emissions result from the transportation and treatment processes, but emissions reductions occur elsewhere in the economy when secondary materials, reused EEE and recovered electricity substitute virgin materials. Here we investigate the carbon footprint of the authorised WEEE system in the UK, utilising a combined material flow analysis (MFA) and life cycle assessment (LCA). The potential for improvements in the carbon footprint are investigated through optimisation of logistics by solving a Vehicle Routing Problem with the objective of minimising carbon footprint. Detailed primary data was obtained from a producer compliance scheme and the collection and pre- treatment operators, yielding highly specific emissions and material flow data across these stages. Data covering the recycling, incineration and landfill stages was sourced from the Ecoinvent 3.7 database. The LCA results show a net carbon footprint benefit for the collection and treatment across all WEEE streams. The average carbon footprint per tonne of WEEE was -2.01tCO2eq., consisting of 0.903tCO2eq. of gross emissions and -2.92tCO2eq. of avoided emissions. The gross emissions are mainly from recycling and energy-from-waste, and the avoided emissions from the substitution of 0.748t of virgin material with recycled material. Furthermore, optimisation of AATF allocation achieved a further improvement of 0.22tCO2eq. per tonne of WEEE by increasing use of AATFs with higher recovery rates. Specific findings include the large range in total emissions when WEEE is sent to different pre- treatment plants, and the finding that energy-from-waste is less beneficial than landfill from a carbon footprint perspective. Implications include informing decision making at the industry and policy level to improve the carbon footprint of the WEEE system and increasing public awareness of the benefit of correct WEEE disposal

    Automation and Control for Adaptive Management System of Urban Agriculture Using Computational Intelligence

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    It has been predicted by the United Nations that the world population will increase to 9.8 billion in 2050. This causes agricultural development areas to be transformed into urban areas. This urbanization and increase in population density cause food insecurity. Urban agriculture using precision farming becomes a feasible solution to meet the growing demand for food and space. An adaptive management system (AMS) is necessary for such farm to provide an artificial environment suitable to produce cultivars effectively. This research proposes the development of a computational intelligence-based urban farm automation and control system utilizing machine learning and fuzzy logic system models. A quality assessment is employed for adjusting the environmental parameters with respect to the cultivars’ requirements. The system is composed of sensors for data acquisition and actuators for model-dictated responses to stimuli. Data logging was done wirelessly through a router that would collect and monitor data through a cloud-based dashboard. The model intended for training from the acquired data undergo statistical comparative analysis and least computational cost analysis to optimize the performance. The system performance was evaluated by monitoring the conditions of the sensors and actuators. Experiment results showed that the proposed system is accurate, robust, and reliable

    The European Spallation Source neutrino super-beam conceptual design report

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    Artículo escrito por un elevado número de autores, solo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración, si le hubiere, y los autores pertenecientes a la UAMA design study, named ESS νSB for European Spallation Source neutrino Super Beam, has been carried out during the years 2018–2022 of how the 5 MW proton linear accelerator of the European Spallation Source under construction in Lund, Sweden, can be used to produce the world’s most intense long-baseline neutrino beam. The high beam intensity will allow for measuring the neutrino oscillations near the second oscillation maximum at which the CP violation signal is close to three times higher than at the first maximum, where other experiments measure. This will enable CP violation discovery in the leptonic sector for a wider range of values of the CP violating phase δCP and, in particular, a higher precision measurement of δCP. The present Conceptual Design Report describes the results of the design study of the required upgrade of the ESS linac, of the accumulator ring used to compress the linac pulses from 2.86 ms to 1.2 μs, and of the target station, where the 5 MW proton beam is used to produce the intense neutrino beam. It also presents the design of the near detector, which is used to monitor the neutrino beam as well as to measure neutrino cross sections, and of the large underground far detector located 360 km from ESS, where the magnitude of the oscillation appearance of νe from νμ is measured. The physics performance of the ESS νSB research facility has been evaluated demonstrating that after 10 years of data-taking, leptonic CP violation can be detected with more than 5 standard deviation significance over 70% of the range of values that the CP violation phase angle δCP can take and that δCP can be measured with a standard error less than 8° irrespective of the measured value of δCP. These results demonstrate the uniquely high physics performance of the proposed ESS νSB research facilit

    Advanced Energy Harvesting Technologies

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    Energy harvesting is the conversion of unused or wasted energy in the ambient environment into useful electrical energy. It can be used to power small electronic systems such as wireless sensors and is beginning to enable the widespread and maintenance-free deployment of Internet of Things (IoT) technology. This Special Issue is a collection of the latest developments in both fundamental research and system-level integration. This Special Issue features two review papers, covering two of the hottest research topics in the area of energy harvesting: 3D-printed energy harvesting and triboelectric nanogenerators (TENGs). These papers provide a comprehensive survey of their respective research area, highlight the advantages of the technologies and point out challenges in future development. They are must-read papers for those who are active in these areas. This Special Issue also includes ten research papers covering a wide range of energy-harvesting techniques, including electromagnetic and piezoelectric wideband vibration, wind, current-carrying conductors, thermoelectric and solar energy harvesting, etc. Not only are the foundations of these novel energy-harvesting techniques investigated, but the numerical models, power-conditioning circuitry and real-world applications of these novel energy harvesting techniques are also presented
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