Large-scale Projects Research Articles

Green hydrogen demand in Cameroon's energy sectors by 2040

Cameroon possesses a significant endowment of solar energy, granting it exceptional potential for the generation of hydrogen through environmentally friendly means. However, the continued expansion of the nation's petroleum industry presents an obstacle to the domestic utilization of green hydrogen due to its present costliness for energy purposes. Nonetheless, the prospect of exporting green hydrogen to developed nations remains an intriguing proposition. Indeed, a pact concerning hydrogen was established between Australia and Cameroon in the year 2021, thus opening avenues for the export of green hydrogen to facilitate the decarbonization of national energy supplies in Australia and other industrialized nations. Presently, there are no documented large-scale projects within Cameroon dedicated to the electrolytic production of hydrogen. This study projects the potential hydrogen demand in the electricity and transportation sectors up to 2040. Electricity demand is expected to be as high as 8675 GWh in 2040, while gasoline and diesel demand are expected to reach 1.75 and 3.26 million cubic meters, respectively. Therefore, the total amount of hydrogen needed to power both the electricity and transportation sectors is estimated at 0.532 megatonnes. Even a relatively modest allocation, merely 5 %, of Cameroon's land for the production of hydrogen via solar-powered electricity generation could yield a surplus. This resultant quantity of hydrogen, estimated at a substantial 16.68 megatonnes, would likely be more than enough to satisfy the projected domestic needs for both electrical and transportation uses by the year 2040.

Model for dimensioning borehole heat exchanger applied to mixed-integer-linear-problem (MILP) energy system optimization

This paper introduces three novel approaches to size geothermal energy piles in a MILP, offering fresh perspectives and potential solutions. The research overlooks MILP models that incorporate the sizing of a geothermal borefield. Therefore, this paper presents a new model utilizing a g-function model to regulate the power limits. Geothermal energy is an essential renewable source, particularly for heating and cooling. Complex energy systems, with their diverse sources of heating and cooling and intricate interactions, are crucial for a climate-neutral energy system. This work significantly contributes to the integration of geothermal energy as a vital energy source into the modelling of such complex systems. Borehole heat exchangers help generate heat in low-temperature energy systems. However, optimizing these exchangers using mixed-integer-linear programming (MILP), which only allows for linear equations, is complex. The current research only uses R-C, reservoir, or g-function models for pre-sized borefields. As a result, borehole heat exchangers are often represented by linear factors such as 50 W/m for extraction or injection limits. A breakthrough in the accuracy of borehole heat exchanger sizing has been achieved with the development of a new model, which has been rigorously compared to two simpler models. The geothermal system was configured for three energy systems with varying ground and bore field parameters. The results were then compared with existing geothermal system tools. The new model provides more accurate depth sizing with an error of less than 5 % compared to simpler models with an error higher than 50 %, although it requires more calculation time. The new model can lead to more accurate borefield sizing in MILP applications to optimize energy systems. This new model is especially beneficial for large-scale projects that are highly dependent on borefield size.

HPC-T-Annotator: an HPC tool for de novo transcriptome assembly annotation

BackgroundThe availability of transcriptomic data for species without a reference genome enables the construction of de novo transcriptome assemblies as alternative reference resources from RNA-Seq data. A transcriptome provides direct information about a species’ protein-coding genes under specific experimental conditions. The de novo assembly process produces a unigenes file in FASTA format, subsequently targeted for the annotation. Homology-based annotation, a method to infer the function of sequences by estimating similarity with other sequences in a reference database, is a computationally demanding procedure.ResultsTo mitigate the computational burden, we introduce HPC-T-Annotator, a tool for de novo transcriptome homology annotation on high performance computing (HPC) infrastructures, designed for straightforward configuration via a Web interface. Once the configuration data are given, the entire parallel computing software for annotation is automatically generated and can be launched on a supercomputer using a simple command line. The output data can then be easily viewed using post-processing utilities in the form of Python notebooks integrated in the proposed software.ConclusionsHPC-T-Annotator expedites homology-based annotation in de novo transcriptome assemblies. Its efficient parallelization strategy on HPC infrastructures significantly reduces computational load and execution times, enabling large-scale transcriptome analysis and comparison projects, while its intuitive graphical interface extends accessibility to users without IT skills.

Does self-containment of spatial scale and land use function contribute to mitigate urban heat island effects? Lessons from new towns in Shanghai

The concept of self-containment in new towns has been widely discussed from social and economic perspectives. However, localized interpretations within the context of China's development, particularly regarding climate adaptability and urban heat island (UHI) mitigation, are scarce. To fill this gap, our research analyzed self-containment from the perspectives of urban spatial scale and land use function. Focusing on Shanghai’s five new towns, we empirically demonstrated how self-containment influenced the UHI effects from 2005 to 2020, employing the Geodetector method. The findings reveal that during the daytime, the intensity of UHI in new towns decreased, serving as vital connectivity nodes of UHI within the region. Conversely, during the nighttime, both the intensity and area of UHI showed an increasing trend. The research confirmed that expanding the urban scale and functional diversity are effective strategies for mitigating the UHI. Based on these findings, we offer practical suggestions for the development of new towns: Increase population size while ensuring coordination with development scale; enhance mixed-use functions in large-scale development projects like university towns and industrial parks; and be vigilant of potential functional decline in central areas and increasing thermal impact due to new town development. Overall, this study enriches our understanding of self-containment in Chinese new towns and provides valuable insights for mitigating UHI in other similar contexts.

Development of a Multifaceted Program for Pharmacogenetics Adoption at an Academic Medical Center: Practical Considerations and Lessons Learned.

In 2019, Indiana University launched the Precision Health Initiative to enhance the institutional adoption of precision medicine, including pharmacogenetics (PGx) implementation, at university-affiliated practice sites across Indiana. The overarching goal of this PGx implementation program was to facilitate the sustainable adoption of genotype-guided prescribing into routine clinical care. To accomplish this goal, we pursued the following specific objectives: (i) to integrate PGx testing into existing healthcare system processes; (ii) to implement drug-gene pairs with high-level evidence and educate providers and pharmacists on established clinical management recommendations; (iii) to engage key stakeholders, including patients to optimize the return of results for PGx testing; (iv) to reduce health disparities through the targeted inclusion of underrepresented populations; (v) and to track third-party reimbursement. This tutorial details our multifaceted PGx implementation program, including descriptions of our interventions, the critical challenges faced, and the major program successes. By describing our experience, we aim to assist other clinical teams in achieving sustainable PGx implementation in their health systems.

Development of a mechanical characterisation device for intracranial aneurysms: Calibration on polymeric phantom arteries

Intracranial aneurysm is a major health issue related to biomechanical arterial wall degradation. Currently, no method allows predicting rupture risk based on in vivo quantitative mechanical data. This work is part of a large-scale project aimed at providing clinicians with a non-invasive patient-specific decision support tool, based on the in vivo mechanical characterisation of the aneurysm wall. Thus, the primary objective of the project was to develop a deformation device prototype (DDP) of the artery wall and to calibrate it on polymeric phantom arteries. The deformations induced on the phantom arteries were quantified experimentally using a Digital Image Correlation (DIC) system. The results indicated that the DIC system was able to measure the small displacements generated by the DDP. We also observed that the flow mimicking the blood flow did not significantly disturb the measurements of the artery wall displacement caused by the DDP. Finally, a limit displacement value generated by the DDP was evaluated. This value corresponds to the lowest displacement value detectable by the clinical imaging system that will be tested on animals in the future (Spectral Photon Counting CT).

Critical collapse of massless scalar fields in asymptotically anti-de Sitter spacetime* *Supported by the National Natural Science Foundation of China (11925503) and the Guangdong Major project of Basic and Applied Basic Research (2019B030302001). The computation is completed on the HPC Platform of Huazhong University of Science and Technology

We conduct numerical investigations on the critical collapse of spherically symmetric massless scalar fields in asymptotically anti-de Sitter spacetime. Our primary focus is on the behavior of the critical amplitude under various initial configurations of the scalar field. Through our numerical results, we obtain a formula that determines critical amplitude in terms of cosmological constant Λ: , where σ denotes the initial width of the scalar field and is the initial position of the scalar field. Notably, we highlight that the slope of this linear relationship depends on the initial configuration of the scalar field.

Profiles in Sustainability: Rupert Read and Liam Kavanagh, Co-Founders of the Climate Majority Project

Profiles in Sustainability: Rupert Read and Liam Kavanagh, Co-Founders of the Climate Majority Project

The political economy of energy transitions in Africa: Coalitions, politics and power in Tanzania

The understanding of the political economy of energy transitions in lower-income African countries is little developed. A focus on coalitions has emerged as a promising approach, but it was largely developed based on experiences from higher-income countries. This article has two interrelated purposes. First, it explores and develops the coalition approach to the study of the prioritisation between energy sources in lower-income countries by combining it with a political settlement framework that has been adapted to analysing energy transitions. Secondly, it researches the promotion and implementation of non-hydro renewable energy in mainland Tanzania as a case. The article covers the period from 2008, when the first potent coalitions around private non-hydro renewable energy emerged, up until today. Until recently, these coalitions were overtaken by stronger coalitions around state-owned gas and hydropower. Only with a new president and administration in power and a donor that was pragmatic with regard to state ownership did a large-scale solar plant materialize. Based on the Tanzanian example, the article argues first, that large-scale energy projects are of such importance politically that the analysis of coalitions at the sector level must take into account how these coalitions are embedded in a country's broader distribution of power. Secondly, that for renewable energy policies and projects to get implemented they must fit with the priorities and ideas about broader development held by a country's ruling political elite. A number of implications for the study of the political economy of energy transitions are further unfolded in the article.

Irrigation and food security in the context of water shortage: legal issues and perspectives

The article examines the legal problems and prospects of ensuring the irrigation of agricultural land in conditions of a lack of traditional water resources. Modern hydromelioration reform in the form in which it is currently implemented is not a panacea. It mostly solves property and administrative-functional issues, but leaves a call for attention to environmental and natural resource problems. In view of the tendency to decrease the quantity and quality of water in the country, the question arises about the prospects of irrigation under such conditions. In recent decades, there has been a constant search for innovative solutions of not only technological, but also legal nature in the world for solving the complex problems of distributing limited resources and providing agriculture with vital moisture for maintaining food security. The objective problem of the lack of water suitable for irrigation against the background of the rapid growth of such needs is getting worse every year and in the long run can endanger the food security of the country. World experience demonstrates the approbation of various approaches to solving the problem of sufficient irrigation. According to the main way of achieving the goal, these approaches are presented by us in the form of three groups: 1) use of alternative sources of water resources (use of underground water, treated wastewater, desalinated salt water); 2) application of alternative irrigation technologies (modernization of irrigation systems; use of micro-irrigation); 3) use of alternative crops (voluntary and mandatory transition). Having analyzed the foreign and domestic experience of the legal regulation of selected methods of solving the problem of water shortage for irrigation, it is possible to trace some general trends: a) self-removal of the state from the implementation of large-scale irrigation projects, the need for which is generated by global environmental challenges; b) slow ecological transformation of legislation regulating agricultural irrigation; c) the predominance of separate legal norms and separate legal mechanisms aimed at regulating alternative irrigation, and the lack of comprehensive regulatory and legal support for the reconstruction of the irrigation system taking into account objective environmental problems.

The temporalities and externalities of ancillary infrastructure in large-scale renewable energy projects: Insights from the rural periphery

Ancillary infrastructures such as roads, workers camps, or water management systems are an essential prerequisite for realizing large-scale renewable energy projects. They usually are established before the power plant is constructed and differ from it in their temporalities and externalities. Especially in peripheral regions in the Global South, ancillary infrastructure can have negative impacts on the affected communities as well as bring them significant co-benefits. Despite its extensive and often far-reaching nature, as well as social and ecological consequences, ancillary infrastructure has received little scholarly attention, and is often not given sufficient consideration by planners and investors. This article foregrounds ancillary infrastructure in peripheral rural areas with little pre-existing infrastructure. It provides a typology of ancillary and other infrastructures as well as a systematic discussion of its temporalities and externalities, and argues that local acceptance can increase significantly owed to positive externalities deriving from ancillary infrastructure. We illustrate our conceptual framework with the example of a large geothermal project in Kenya. Based on these conceptual and empirical findings, we conclude with detailed policy recommendations.

Management Economic Systems and Governance to Reduce Potential Risks in Digital Silk Road Investments: Legal Cooperation between Hainan Free Trade Port and Ethiopia

This research explores the interplay between innovation, economic systems, governance structures, and law, and how they interact with one another in the context of China and Ethiopia’s investments in the Digital Silk Road. The way cutting-edge methods related to governance and economic systems might help lower the risks involved in major infrastructure projects, like the Digital Silk Road, particularly in light of law and 5G developments, is investigated. China–Africa connections are to be strengthened, sustainable development is to be encouraged, and healthy economic progress is the goal of the partnership between Ethiopia and the Hainan Free Trade Port. The impact of these transnational investments on fair growth and sustainable development is assessed, while exploring the evolving agendas and procedures governing investments. This research draws attention to how the law and legal cooperation between Ethiopia and China may promote mutually advantageous outcomes, promote transparency and governance mechanisms, and lessen the likelihood of disputes. This research on the factors influencing the future of the Digital Silk Road and its consequences for long-term, sustainable economic growth, and business in the area, aims to provide valuable insights for policymakers, development professionals, and academics, and for the copromotion of China and Ethiopia in terms of digital investment. This research relates to the promotion of the African Continental Free Trade Area (AfCFTA), in terms of construction and economic development. It also examines how the DSR raises concerns about data security and privacy, cross-border transactions, technology transfer, and cyberterrorism, as well as encourages digital investment, such as through enhancing digital governance regulations, modernizing international investment agreements (IIAs), and bolstering global health, coordination, and cooperation; the article concludes by analyzing the implications for Africa. The findings show that such cooperation would support Africa’s digital transformation and sustainable development, while strengthening China–Africa cooperation.

Optimized Layout of Large-Scale Coal-Fired Power Plant CCUS Projects under Water Resource Constraints in China

Optimized Layout of Large-Scale Coal-Fired Power Plant CCUS Projects under Water Resource Constraints in China

Architecture between empire and revolution: housing and the shaping of Soviet Leningrad

ABSTRACT This article traces the planning history of the first major housing projects built in Soviet Leningrad: the Traktornaya Ulitsa and Serafimov site housing estates. Initiated by municipal authorities in 1924, they were built according to the designs of its own Design Buro and the architects Aleksandr Nikolsky, Aleksandr Gegello, and Grigorii Simonov in 1925–1926. Spearheading the reconstruction of a large industrial suburb, these projects offer an original example of the role of housing in urban development in the Soviet Union and in one of Europe’s largest cities. The planning history of the projects illuminates the way urban development unfolded in the early Soviet context: through practice and negotiation with multiple contexts, both the historic, imperial city and the revolution. The article shows the exemplary quality of these projects and their power and means to reinvent the historic forms and meanings of the city, and reconfigure its spatial hierarchies. It analyses the sources and means at play from revolutionary ideals and avant-garde ideas on form to western models of housing, the surrounding classical city and Byzantine and Russian vernacular architecture. It thus delineates the means through which architecture acts as an instrument of social and cultural change.

Forgotten project of a private agricultural plantation in the Khanate of Khiva, Uzbekistan

ABSTRACT This article re-evaluates a failed large irrigation enterprise and agricultural plantation in the Khanate of Khiva, an Imperial Russian protectorate in contemporary Uzbekistan, during the 1910s. Co-initiated by Russian entrepreneurs and the Khivan government, this project has been considered one of several lucrative, speculative ventures by Russian capitalists exploiting imperial privileges. This article demonstrates that the entrepreneurs involved in the dacha Lawzan enterprise possessed adequate capital and technology for this large-scale project. However, the project was hampered by legal restrictions put in place by the imperial government and by lingering conflict with nomads in the Khanate and ultimately failed. The case of dacha Lawzan exemplifies government–entrepreneur tension in the colonial territories of Imperial Russia, which impeded the economic development projects initiated by local governments to attract private capital to irrigation and cotton cultivation.

Finite element analysis & topology optimization of excavator bucket teeth for optimal performance

In the realm of heavy-duty machinery, excavators hold pivotal roles in construction, mining, and various large-scale projects. The excavator's efficacy relies significantly on its bucket teeth, crafted from robust materials like steel, crucial for soil and rock excavation. However, inadequacies in tooth shape and composition can lead to wear which in turn leads to diminished productivity. Employing finite element analysis, the present research delves into the influence of cantilever profile on TATA Hitachi Ex70 and JCB JS81 bucket teeth, using AISI 4340 and AISI 4140 materials, respectively. Analysing von Mises stress and deformation through Altair HyperMesh, subsequent Altair OptiStruct facilitates topology optimisation aims to reduce tooth mass. It appears that Tooth I (TATA Hitachi Ex70) experienced a decrease in mass, yet an elevation in von Mises stress compared to its initial mass of 2.81 kg and stress level of 1.74 E + 02 MPa. Similarly, Tooth II (JCB JS81) showcased a reduction in mass and a rise in von Mises stress from its original mass of 2.03 kg and stress of 1.038 E + 02 MPa. Validation of optimised designs through the graphs depicting the Factor of Safety (FOS) for both teeth ensures compliance with specified requirements, confirming that optimised excavator bucket teeth designs are safe.

Opinions matter: Contrasting perceptions of major public transit projects in Montréal, Canada

Public opinion has been identified as one of the main drivers of political action in support of sustainable-transport transitions, making it essential to understand when aiming for effective transport policy. Drawing from both quantitative and qualitative data from the 2021 Montréal Mobility Survey, this paper analyzes public perceptions towards two transport projects—a light-rail transit (LRT) and a bus-rapid transit (BRT). Quantitative statements pertaining to five project impacts were compared between the two projects. Both projects had high levels of agreement (between 67% and 80%) regarding expected regional and environmental impacts, but agreement levels were lower for expected neighborhood, cultural, and residential displacement impacts (between 49% and 30%). To contextualize the quantitative findings, qualitative data were pulled from open-ended questions for both projects and analyzed using an applied-thematic-analysis approach. The qualitative responses focused primarily on negative perceptions, providing insight into potential factors contributing to the erosion of social acceptability. Our analysis of open-ended questions underscored contrasting perceptions between the two projects in terms of improvements in accessibility to destinations (minimal for the BRT vs noticeable for the LRT), governance (transparent for the BRT vs opaque for the LRT), consultation processes (adequate for the BRT vs insufficient for the LRT), and construction impacts (lengthy and disruptive for the BRT vs rapid for the LRT). These contrasting quantitative and qualitative results highlight the need for mixed methods when assessing public perceptions. Findings from this paper can be of benefit to practitioners and policy makers as they aim to ramp up efforts to expand public-transit systems.

Children and young people as research collaborators in a large-scale migration research project

In this paper we detail and contextualise the collaborative participatory research process developed throughout the IMMERSE research project which maps the integration of migrant children in education in Europe. We begin with a brief overview of IMMERSE and thereafter discuss the research design with reference to literature on collaborative research approaches and on working with children and young people’s research advisory groups. IMMERSE involved a large-scale data collection with over 24,000 children and young people in six countries and such large-scale data collection presents a challenging context in which to include children as collaborators and influencers in the research process. We demonstrate how, drawing on existing knowledge as well as our own experiences of working with children as research partners, we developed innovative ways of ensuring children’s voices were integral to and embedded in the research at various points of the process. Throughout the duration of the project, we developed several strategies to ensure that children were involved as research partners and influencers. To ensure children and young people’s active involvement and influence on the research, a Children and Young People’s Advisory Group was established at the beginning of IMMERSE which was composed of 18 migrant and refugee children resident in Ireland. This group acted as an expert group, to reflect on the experiences of migrant children and represent their peers in this process. In addition, children across the six IMMERSE countries were involved in the design and validation of the dashboard of socio-educational integration indicators and the ensuing research instruments.

Decision-making in major investment projects with a life cycle cost: improvement with sensitivity analysis and sustainability assessment

This study focuses on compressor station investments in Germany’s natural gas infrastructure, offering insights applicable to machinery, energy, and maintenance cost-driven decisions. A life cycle cost (LCC) analysis can guide investment choices; however, uncertainties in input data and future developments pose risks. The LCC-based studies encounter questions impacting their results and optimal selections. These uncertainties may lead to misallocations, emphasizing the need for careful consideration of investment decisions to avoid potential consequences and efficiently allocate limited funds. Various measures are available to mitigate the uncertainties and risks in LCC analyses. Recognized measures are deterministic and probabilistic. Seven case studies on investments in the natural gas infrastructure in Germany were analyzed in this context. In addition to the executed case studies, a case study from a scientific journal (published in 2001) was included in the analysis. The case studies were conducted by transmission system operators from 2005–2015, and a retrospective view made it possible to recognize whether the best options (due to the LCC analysis) were identified. Simulations were conducted with generated models using real historical input data such as energy costs. The re-calculation of the net present value or better discounted cumulated expenditure with real input data shows that the LCC analysis results are significantly dependent on the reliability of the input data and the prediction of their development. Therefore, validating the results using appropriate measures is mandatory. This study illustrates how sensitivity analysis can be used as a deterministic method to evaluate the LCC analysis results. A company’s success is increasingly determined by its sustainability. A pure LCC analysis is insufficient, so social, ecological, and economic sustainability assessments must be conducted. This study demonstrates the effectiveness of the weighted scoring method for sustainability assessments. Although this study relates to LCC in Germany’s natural gas infrastructure, the suggested process can be adopted for other investment projects comprising capital and operational expenditures.

A Diffusion Tensor Imaging White Matter Atlas of the Domestic Canine Brain

Abstract There is increasing reliance on magnetic resonance imaging (MRI) techniques in both research and clinical settings. However, few standardized methods exist to permit comparative studies of brain pathology and function. To help facilitate these studies, we have created a detailed, MRI-based white matter atlas of the canine brain using diffusion tensor imaging. This technique, which relies on the movement properties of water, permits the creation of a three-dimensional diffusivity map of white matter brain regions that can be used to predict major axonal tracts. To generate an atlas of white matter tracts, thirty neurologically and clinically normal dogs underwent MRI imaging under anesthesia. High-resolution, three-dimensional T1-weighted sequences were collected and averaged to create a population average template. Diffusion weighted imaging sequences were collected and used to generate diffusivity maps, which were then registered to the T1-weighted template. Using these diffusivity maps, individual white matter tracts—including association, projection, commissural, brainstem, olfactory and cerebellar tracts—were identified with reference to previous canine brain atlas sources. To enable the use of this atlas, we created downloadable overlay files for each white matter tract identified using manual segmentation software. In addition, using diffusion tensor imaging tractography, we created tract files to delineate major projection pathways. This comprehensive white matter atlas serves as a standard reference to aid in the interpretation of quantitative changes in brain structure and function in clinical and research settings.