Relevant bibliographies by topics / Greenhouse gas mitigation – Mathematical models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Greenhouse gas mitigation – Mathematical models'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Greenhouse gas mitigation – Mathematical models"

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Badyelgajy, Yerbakhyt, Yerlan Doszhanov, Bauyrzhan Kapsalyamov, et al. "Calculation of Greenhouse Gas Emissions from Tourist Vehicles Using Mathematical Methods: A Case Study in Altai Tavan Bogd National Park." Sustainability 17, no. 15 (2025): 6702. https://doi.org/10.3390/su17156702.

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The transportation sector significantly contributes to greenhouse gas (GHG) emissions and remains a key research focus on emission quantification and mitigation. Although numerous models exist for estimating vehicle-based emissions, most lack accuracy at regional scales, particularly in remote or underdeveloped areas, including backcountry national parks and mountainous regions lacking basic infrastructure. This study addresses that gap by developing and applying a terrain-adjusted, segment-based methodology to estimate GHG emissions from tourist vehicles in Altai Tavan Bogd National Park, one
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Nesci, Valeria, Ilaria Ballarini, Pietro Rando Mazzarino, and Vincenzo Corrado. "Living Walls and Green Façades: An Implementation Code for Energy Simulation." Buildings 14, no. 7 (2024): 2040. http://dx.doi.org/10.3390/buildings14072040.

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The impacts of climate change, excessive greenhouse gas emissions, and the current energy crisis have motivated the European Union to adopt mitigation and adaptation strategies. These strategies primarily focus on the building sector due to its crucial role in addressing these issues. Among the strategies, the implementation of resilient technologies for the building envelope, such as vertical greenery systems (VGSs) is gaining ground. The literature analysis shows that existing models are not sufficiently detailed in their description of the overall thermo-physical phenomena of VGSs. The aim
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Edenhofer, Fankhauser Doyle, Lehtveer Loulou Parikh, and Sen Zhu Wang Yu. "Nuclear energy in the era of climate resilience: advancing long-term scenarios with the world-times model." Vertex 12, no. 2 (2023): 80–88. http://dx.doi.org/10.35335/eeqhzn35.

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Sustainable energy routes that improve climate resilience are needed because climate change affects global energy systems. Nuclear energy's low-carbon electricity could mitigate climate change. This study uses the World-TIMES Model to assess its climatic resilience. A mathematical optimization model is used to discover the best energy mix, including nuclear power, to minimize greenhouse gas emissions and meet energy demand and cost limitations. We use a simplified numerical example to demonstrate the concept and assess nuclear energy, renewable sources, and cost-effectiveness trade-offs. Wind
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Zhou, C. Y., G. H. Huang, J. P. Chen, and X. Y. Zhang. "Inexact Fuzzy Chance-Constrained Fractional Programming for Sustainable Management of Electric Power Systems." Mathematical Problems in Engineering 2018 (November 19, 2018): 1–13. http://dx.doi.org/10.1155/2018/5794016.

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An inexact fuzzy chance-constrained fractional programming model is developed and applied to the planning of electric power systems management under uncertainty. An electric power system management system involves several processes with socioeconomic and environmental influenced. Due to the multiobjective, multilayer and multiperiod features, associated with these various factors and their interactions extensive uncertainties, may exist in the study system. As an extension of the existing fractional programming approach, the inexact fuzzy chance-constrained fractional programming can explicitl
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Shaw, Jacob T., Adil Shah, Han Yong, and Grant Allen. "Methods for quantifying methane emissions using unmanned aerial vehicles: a review." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2210 (2021): 20200450. http://dx.doi.org/10.1098/rsta.2020.0450.

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Methane is an important greenhouse gas, emissions of which have vital consequences for global climate change. Understanding and quantifying the sources (and sinks) of atmospheric methane is integral for climate change mitigation and emission reduction strategies, such as those outlined in the 2015 UN Paris Agreement on Climate Change. There are ongoing international efforts to constrain the global methane budget, using a wide variety of measurement platforms across a range of spatial and temporal scales. The advancements in unmanned aerial vehicle (UAV) technology over the past decade have ope
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Kebreab, E., K. Clark, C. Wagner-Riddle, and J. France. "Methane and nitrous oxide emissions from Canadian animal agriculture: A review." Canadian Journal of Animal Science 86, no. 2 (2006): 135–57. http://dx.doi.org/10.4141/a05-010.

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Considerable evidence of climate change associated with emissions of greenhouse gases (GHG) has resulted in international efforts to reduce GHG emissions. The agriculture sector contributes about 8% of GHG emissions in Canada mostly through methane (CH4) and nitrous oxide (N2O). The objective of this paper was to compile an integrative review of CH4 and N2O emissions from livestock by taking a whole cycle approach from enteric fermentation to manure treatment and storage, and field application of manure. Basic microbial processes that result in CH4 production in the rumen and hindgut of animal
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Stainforth, David A., Thomas E. Downing, Richard Washington, Ana Lopez, and Mark New. "Issues in the interpretation of climate model ensembles to inform decisions." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1857 (2007): 2163–77. http://dx.doi.org/10.1098/rsta.2007.2073.

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There is a scientific consensus regarding the reality of anthropogenic climate change. This has led to substantial efforts to reduce atmospheric greenhouse gas emissions and thereby mitigate the impacts of climate change on a global scale. Despite these efforts, we are committed to substantial further changes over at least the next few decades. Societies will therefore have to adapt to changes in climate. Both adaptation and mitigation require action on scales ranging from local to global, but adaptation could directly benefit from climate predictions on regional scales while mitigation could
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Betts, Richard A., Matthew Collins, Deborah L. Hemming, Chris D. Jones, Jason A. Lowe, and Michael G. Sanderson. "When could global warming reach 4°C?" Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1934 (2011): 67–84. http://dx.doi.org/10.1098/rsta.2010.0292.

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The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) assessed a range of scenarios of future greenhouse-gas emissions without policies to specifically reduce emissions, and concluded that these would lead to an increase in global mean temperatures of between 1.6°C and 6.9°C by the end of the twenty-first century, relative to pre-industrial. While much political attention is focused on the potential for global warming of 2°C relative to pre-industrial, the AR4 projections clearly suggest that much greater levels of warming are possible by the end of the twenty-fir
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de Longe, Clenildo, Aryandson da Silva, Anne Beatriz Figueira Câmara, et al. "Synthesis of LTA Zeolite from Beach Sand: A Solution for CO2 Capture." Coatings 15, no. 3 (2025): 334. https://doi.org/10.3390/coatings15030334.

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Emissions caused by polluting gases, such as carbon dioxide, are one of the main contributors to the generation of the greenhouse effect that leads to global warming, responsible for climate change. An alternative to mitigating these emissions is the use of adsorbents capable of capturing CO2. Zeolites are considered one of the most effective adsorbents in gas adsorption and separation technologies due to their high specific area and pore size and, consequently, greater adsorption capacity when compared to other commonly used materials. Despite this, reagents used in syntheses as the source of
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Rashid, Shahzada Mudasir. "Impact of Livestock Enteric Emission on Climate and its Mitigation." Indian Journal of Pure & Applied Biosciences 9, no. 3 (2021): 247–56. http://dx.doi.org/10.18782/2582-2845.8737.

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The increase in production of greenhouse gases is a major cause of global warming for which livestock holds a big share in total greenhouse gas emission annually. The greenhouse gases produced by livestock include carbon dioxide, methane, nitrous oxide etc. Cattle and buffalo are the major contributors responsible for 90% emission of GHG followed by sheep and goat. Increase in carbon dioxide emission by livestock, decaying of dung in absence of oxygen, enteric fermentations are the major sources of greenhouse gas production by livestock species. Owing to greenhouse effect, the elevated greenho
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Dissertations / Theses on the topic "Greenhouse gas mitigation – Mathematical models"

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Lee, Yu-tao, and 李裕韜。. "A study on greenhouse gases in Hong Kong: sources and mitigation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31254317.

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Enzinger, Sharn Emma 1973. "The economic impact of greenhouse policy upon the Australian electricity industry : an applied general equilibrium analysis." Monash University, Centre of Policy Studies, 2001. http://arrow.monash.edu.au/hdl/1959.1/8383.

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D'AMMARO, DANIELE. "From environmental concerns toward sustainable agro-food production. Mathematical models, indicators to achieve the sustainability of the wine sector." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/115286.

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Il sistema alimentare è sempre più interconnesso con il nostro futuro, il quale include un'ampia varietà di preoccupazioni della società che vanno dalla sicurezza alimentare, alla nutrizione, alle disuguaglianze sociali ed economiche, al cambiamento climatico, alla biodiversità e ai servizi generati dagli ecosistemi oceanici. In particolare, la filiera agroalimentare del vino emerge come una tra le filiere più analizzate data la sua importante rilevanza nel mercato economico produttivo e distributivo mondiale. In accordo con le disposizioni del New Green Deal dell'Unione Europea e dell'Agenda
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CESAR, Herman S. J. "The comedy and the tragedy of the commons : control and game models of economic policy regarding the Greenhouse effect." Doctoral thesis, 1993. http://hdl.handle.net/1814/4880.

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Defence date: 29 November 1993<br>Examining board: Prof. Carlo Carraro, University of Venice ; Prof. Aart de Zeeuw, University of Tilburg, co-supervisor ; Prof. Louis Phlips, E.U.I. ; Prof. Mark Salmon, E.U.I., supervisor ; Prof. Alistair Ulph, University of Southampton<br>PDF of thesis uploaded from the Library digitised archive of EUI PhD theses completed between 2013 and 2017
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Gruber, Douglas S. "Modeling to reduce oil consumption and emissions of greenhouse gases, hydrocarbons, and particulates for the passenger land transport sector of Bangkok." Thesis, 2007. http://hdl.handle.net/10125/20602.

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Books on the topic "Greenhouse gas mitigation – Mathematical models"

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F, Javier Hanna. Aplicación del modelo markal macro en Bolivia: Pirmera fase. Programa Nacional de Cambios Climaticos, 2003.

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Schneider, Uwe A. Greenhouse gas mitigation through energy crops in the United States with implications for Asian-Pacific countries. Center for Agricultural and Rural Development, Iowa State University, 2001.

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Peter, Markewitz, and Forschungszentrum Jülich Programmgruppe Technologiefolgenforschung, eds. Modelle für die Analyse energiebedingter Klimagasreduktionsstrategien. Forschungszentrum Jülich, 1998.

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National Research Council (U.S.). Division on Engineering and Physical Sciences, ed. Modeling the economics of greenhouse gas mitigation: Summary of a workshop. National Academies Press, 2011.

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Taylor, Richard. Impacts of greenhouse gas emission regulations on the U.S. sugar industry. Center for Agricultural Policy and Trade Studies, Dept. of Agribusiness and Applied Economics, North Dakota State University, 2010.

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E, Schlesinger M., and Workshop on Greenhouse-Gas-induced Climatic Change: A Critical Appraisal of Simulations and Observations (1989 : University of Massachusetts, Amherst), eds. Greenhouse-gas-induced climatic change: A critical appraisal of simulations and observations. Elsevier, 1991.

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1950-, Berck Peter, California Energy Commission. Public Interest Energy Research., and University of California, Berkeley. Dept. of Agricultural and Resource Economics., eds. Policy options for greenhouse gas mitigation in California: Preliminary results from a new social accounting matrix and computable general equilibrium (CGE) model : PIER final project report. California Energy Commission, 2008.

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Barns, David W. Use of the Edmonds-Reilly model to model energy-related greenhouse gas emissions. Organisation for Economic Co-operation and Development, 1992.

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Newell, Richard. Discounting the benefits of climate change mitigation: How much do uncertain rates increase valuations? Pew Center on Global Climate Change, 2001.

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Bonn), IKARUS-Workshop (1997 Wissenschaftszentrum. Modellinstrumente für CO₂-Minderungsstrategien: Eine Veranstaltung der Programmgruppe Systemforschung und Technologische Entwicklung (STE) der Forschungszentrum Jülich GmbH und des Instituts für Energiewirtschaft und Rationelle Energieanwendung (IER) der Universität Stuttgart : proceedings. Forschungszentrum, Zentralbibliothek, 1997.

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Book chapters on the topic "Greenhouse gas mitigation – Mathematical models"

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Mannina, G., and A. Cosenza. "Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors." In Lecture Notes in Civil Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58421-8_104.

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Hillier, Jon, Mohammed Abdalla, Jessica Bellarby, et al. "Mathematical Modeling of Greenhouse Gas Emissions from Agriculture for Different End Users." In Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel6.2013.0038.

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Leemans, R. "Determining the Global Significance of Local and Regional Mitigation Strategies: Setting the Scene with Global Integrated Assessment Models." In African Greenhouse Gas Emission Inventories and Mitigation Options: Forestry, Land-Use Change, and Agriculture. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-009-1637-1_7.

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Unluturk, Burcu, and Anna Krook-Riekkola. "Energy System Models for City Climate Mitigation Plans—Challenges and Recommendations." In Smart and Sustainable Planning for Cities and Regions. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57764-3_2.

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AbstractMany cities around the world have adopted climate neutrality targets, and, to reduce their greenhouse gas emissions, they need climate action plans. Energy system optimization models (ESOMs) can be used as tools to support their energy transitions. ESOMs have been in use at the national level for several years and also have recently been used at the city level. Even though several researchers have focused on how city ESOMs can be developed, the literature lacks a discussion of the challenges that are faced in data collection during model development. In this paper, we share the challen
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Maire, Juliette, Peter Alexander, Peter Anthoni, et al. "A New Modelling Approach to Adaptation-Mitigation in the Land System." In Springer Climate. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_16.

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AbstractClimate change, growing populations and economic shocks are adding pressure on the global agricultural system’s ability to feed the world. In addition to curbing the emissions from fossil fuel use, land-based actions are seen as essential in the effort to mitigate climate change, but these tend to reduce areas available for food production, thereby further increasing this pressure. The actors of the food system have the capacity to respond and adapt to changes in climate, and thereby reduce the negative consequences, while potentially creating additional challenges, including further g
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Grant, Brian B., Ward N. Smith, Con A. Campbell, et al. "Comparison of DayCent and DNDC Models: Case Studies Using Data from Long-Term Experiments on the Canadian Prairies." In Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel6.2013.0035.

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"Using biogeochemical process models to quantify greenhouse gas mitigation from agricultural management: Lydia P. Olander." In Climate Change Mitigation and Agriculture. Routledge, 2013. http://dx.doi.org/10.4324/9780203144510-30.

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N., Manyowa, James R., Kathrine D., Meghan N. Pawlowski, and Susan E. "The Role of Simulation Models in Monitoring Soil Organic Carbon Storage and Greenhouse Gas Mitigation Potential in Bioenergy Cropping Systems." In CO2 Sequestration and Valorization. InTech, 2014. http://dx.doi.org/10.5772/57177.

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Chand, Khem, and Subah Ratra. "The Role of Circular Economy in Mitigating Climate Change." In Advances in Finance, Accounting, and Economics. IGI Global, 2024. https://doi.org/10.4018/979-8-3373-0578-3.ch015.

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The intersection of circular economy (CE) and climate change mitigation is becoming increasingly vital as global economies seek pathways to decarbonize and achieve sustainable development. This chapter critically examines how CE principles—reduce, reuse, recycle—directly contribute to reducing greenhouse gas (GHG) emissions and curbing resource extraction, thereby alleviating environmental degradation. Through detailed analysis of key sectors such as manufacturing, energy, and waste management, the chapter underscores how CE can lead to a paradigm shift in combating climate change. It further
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Cosmi, C., S. Di Leo, S. Loperte, et al. "Comprehensive Energy Systems Analysis Support Tools for Decision Making." In Green Technologies. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-472-1.ch307.

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Sustainability of energy systems is a common priority that involves key issues such as security of energy supply, mitigation of environmental impacts - the energy sector is currently responsible for 80% of all EU greenhouse gas emissions (European Environment Agency, 2007), contributing heavily to the overall emissions of local air pollutants - and energy affordability. In this framework, energy planning and decision making processes can be supported at different stages and spatial scales (regional, national, pan-European, etc.) by the use of comprehensive models in order to manage the large c
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Conference papers on the topic "Greenhouse gas mitigation – Mathematical models"

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Flores, Sandra Cecilia Cerda, Catherine Azzaro-Pantel, and Fabricio N�poles Rivera. "A Techno-Economic Optimization Approach to an Integrated Biomethane and Hydrogen Supply Chain." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.153510.

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One of the proposed strategies to reach net-zero goals is the diversification of a country�s energy mix and transition to technologies that favour the mitigation of greenhouse gas emissions, while decreasing dependency on conventional fuels. This work presents a mathematical model that describes key production routes for two proposed energy transition vectors, biomethane and hydrogen, expressed as a Mixed-Integer Linear Problem (MILP). The supply chain is optimized with the objective of maximizing the profits from the global supply chain. The problem is formulated as an allocation problem, wit
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Sonke, J., J. Moloney, and Y. Zheng. "Development of a Model for Mitigated Corrosion – a Mathematical Model for Evaluation of Upstream Oil and Gas Field Applications That Include Mitigation by Corrosion Inhibition." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16704.

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Abstract Over the past decades, several corrosion prediction models have been developed for Upstream Oil and Gas process conditions. These models provide the unmitigated corrosion rates in typical sweet or sour conditions. However, the practice of field operations is typically based on the mitigated corrosion rate. Therefore, the predicted unmitigated corrosion rates cannot directly be used to understand real-life situation unless the effect of mitigation is effectively considered. Currently, the mitigated corrosion rate is typically quantified via a very simplified method (e.g. corrosion inhi
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Li, Zhaofeng, Anan Uziri, Zahir Aghayev, Burcu Beykal, and Michael Patrascu. "Insights on CO2 Utilization through Reverse Water Gas Shift Reaction in Membrane Reactors: A Multi-scale Mathematical Modeling Approach." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.177382.

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The rising levels of carbon dioxide (CO2) in the atmosphere significantly contribute to climate change, highlighting the need for effective CO2 mitigation strategies. While capturing and storing CO2 is important, converting it into useful products offers additional environmental and economic benefits. One promising method is the reverse water gas shift (RWGS) reaction, which transforms CO2 into carbon monoxide (CO). Membrane reactors (MR), which integrate selective membranes with equilibrium limited chemical reactions, have the potential to intensify processes based on the RWGS reaction. In su
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Alam, Md Shamsul, I. David L. Bogle, and Vivek Dua. "Optimisation of Biomass-Energy-Water-Food Nexus under Uncertainty." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.117909.

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The three systems, water, energy and food, are intertwined since the effect of any of these systems can affect others. This study proposes a mathematical model incorporating uncertain parameters in the biomass energy-water-food nexus system. The novel aspects of this work include formulating and solving the problem as a mixed-integer linear program and addressing the presence of uncertain parameters through a two-stage stochastic mathematical programming approach. Taking maximising economic benefit as an objective function, this work compares the results of the deterministic model with the res
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Calad, C., T. Buckinham, E. Mulligan, et al. "Automation of Greenhouse Gas Emission Estimates Associated with Natural Gas Production in the Appalachian Basin." In SPE Energy Transition Symposium. SPE, 2024. http://dx.doi.org/10.2118/221400-ms.

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Abstract This study seeks to improve the quantification of greenhouse gas (GHG) emissions from unconventional natural gas production in the Appalachian Basin, covering Carbon Dioxide (CO2), Methane (CH4), and Nitrous Oxide (N2O). The goal is to automate the calculation process for compliance with the US Environmental Protection Agency (EPA), corporate sustainability reporting, and internal monitoring for emissions reduction targets. Traditionally, GHG emissions are manually computed once a year and are often calculated by third-party consultants, reducing transparency in calculation approaches
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Chidambram, Siva Kumaran, Jin An Tan, Mohd Amaluddin Yusoff, and June Janesby Roy Jihok. "Predictive Analytics for Gas Turbine Driven Trains to Achieve Optimum Performance, Economics and Greenhouse Gas Emissions." In Offshore Technology Conference Asia. OTC, 2022. http://dx.doi.org/10.4043/31489-ms.

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Abstract The current gas turbine performance monitoring infrastructure in Shell Malaysia yields inaccuracies of ±15% with no links towards emissions and fuel economics. This has resulted in severe limitations towards the ability to improve greenhouse gas (GHG) performance and generate value. This paper describes a novel, data centric approach to derive meaningful insights and economics/carbon savings from existing data on Plant Information (PI) and SMART CONNECT, a Shell in house performance management IT tool. This project applies advanced analytics techniques based on historical data, supple
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Ghasvari-Jahromi, Hamed, Fatemeh Ekram, and Satya Mokamati. "Advancing Leak Detection in Natural Gas Pipelines: A Novel Approach Using Real-Time Transient Modeling for Methane Emissions Mitigation." In 2024 15th International Pipeline Conference. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/ipc2024-134184.

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Abstract Currently, methane emissions account for approximately 25% of human-induced global warming, with the oil and gas sector ranking among the leading contributors. Early detection of methane leaks in pipelines significantly reduces the greenhouse gases emissions, aiding in the mitigation of adverse economic and environmental consequences associated with climate change. Computational Pipeline Monitoring (CPM) systems, tailored for leak detection, provide continuous pipeline monitoring and offer early identification of leaks while minimizing false alarms. This study harnesses advancements i
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Di, Lei, Gaurav Manish Shah, Yiran Yang, and Cuicui Wei. "Greenhouse Gas Emission Analysis of Integrated Production-Inventory-Transportation Supply Chain Enabled by Additive Manufacturing." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-63822.

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Abstract The manufacturing industry is a major source of greenhouse gas emissions (GHG). Additive manufacturing, owing to its multiple advantages, plays a critical role in innovating the current manufacturing industry, especially from a supply chain perspective. Currently, the majority of research on GHG emissions in the manufacturing industry is focused on traditional manufacturing, either single processes in the supply chain or specific case studies, indicating the lack of models on GHG emissions in additive manufacturing-enabled supply chain structures. In this work, a mathematical model is
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Ammar, Mohamed, Abdulrahman Abdulwarith, Ahmed Kareb, Birol Dindoruk, Walid Ablil, and Mondr Altownisi. "Case Study of Gas Flaring Mitigation Through Optimized Gas Re-Injection While Improving the Recovery in High-Temperature Offshore Reservoirs." In SPE Improved Oil Recovery Conference. SPE, 2024. http://dx.doi.org/10.2118/218259-ms.

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Abstract Associated gas needs to be handled properly especially if the gas is deemed to be uneconomical as flaring emerges as being the first ad-hoc" solution" and for many cases prolongs for a long time. Such flaring practices are exercised even more for the gas streams with undesirable compositions such as high CO2, as the separation costs could be significant. When the daily amount reaches significant numbers such as 60 MMSCF/D, the impact in terms of emission of greenhouse gases, air pollution and waste of resources become very significant. In this study, new approaches of zero gas flaring
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Bairy, Jnana, Ovais Rehman Shah, and June Zhang. "Data-Driven Solutions and Artificial Intelligence in the Energy Sector: Leveraging Open GHGRP Data for Emissions Forecasting for U.S. Petroleum and Natural Gas Assets." In SPE Oklahoma City Oil and Gas Symposium. SPE, 2025. https://doi.org/10.2118/224384-ms.

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Abstract This technical paper explores the application of open-source data from the Environmental Protection Agency's (EPA) Greenhouse Gas Reporting Program (GHGRP) to forecast methane and other greenhouse gas (GHG) emissions across U.S. upstream and downstream assets. It focuses specifically on emissions from onshore and offshore petroleum production operations. By integrating artificial intelligence (AI) techniques, the research aims to develop a robust emissions prediction model to accelerate decarbonization efforts while enhancing sustainability in the energy sector. Classical and Advanced
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Reports on the topic "Greenhouse gas mitigation – Mathematical models"

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Alexander, Serena E., Mariela Alfonzo, and Kevin Lee. Safeguarding Equity in Off-Site Vehicle Miles Traveled (VMT) Mitigation in California. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2027.

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Historically, the State of California assessed the environmental impacts of proposed developments based on how it was projected to affect an area’s level of service (LOS). However, as LOS focused on traffic delays, many agencies simply widened roads, which was an ineffective way to reduce greenhouse gas emissions (GHGs). With the passage of Senate Bill (SB)743 in 2013, LOS was replaced by Vehicle Miles Traveled (VMT) as a more appropriate metric by which to gauge the environmental impacts of proposed development. Additionally, SB 743 presented an opportunity for off-site VMT mitigation strateg
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Aalto, Juha, and Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361355.

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Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises c
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Buesseler, Buessele, Daniele Bianchi, Fei Chai, et al. Paths forward for exploring ocean iron fertilization. Woods Hole Oceanographic Institution, 2023. http://dx.doi.org/10.1575/1912/67120.

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We need a new way of talking about global warming. UN Secretary General António Guterres underscored this when he said the “era of global boiling” has arrived. Although we have made remarkable progress on a very complex problem over the past thirty years, we have a long way to go before we can keep the global temperature increase to below 2°C relative to the pre-industrial times. Climate models suggest that this next decade is critical if we are to avert the worst consequences of climate change. The world must continue to reduce greenhouse gas emissions, and find ways to adapt and build resili
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Approaches to linking models to assess the impacts of climate change mitigation actions on greenhouse gas emissions. Organisation for Economic Co-Operation and Development (OECD), 2024. https://doi.org/10.1787/063a5bcb-en.

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