Academic literature on the topic 'Open Source Energy Modeling System (OSeMOSYS)'

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Journal articles on the topic "Open Source Energy Modeling System (OSeMOSYS)"

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Howells, Mark, Holger Rogner, Neil Strachan, et al. "OSeMOSYS: The Open Source Energy Modeling System." Energy Policy 39, no. 10 (2011): 5850–70. http://dx.doi.org/10.1016/j.enpol.2011.06.033.

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Dreier, Dennis, and Mark Howells. "OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling." Energies 12, no. 7 (2019): 1382. http://dx.doi.org/10.3390/en12071382.

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Recent open-data movements give access to large datasets derived from real-world observations. This data can be utilized to enhance energy systems modeling in terms of heterogeneity, confidence, and transparency. Furthermore, it allows to shift away from the common practice of considering average values towards probability distributions. In turn, heterogeneity and randomness of the real-world can be captured that are usually found in large samples of real-world data. This paper presents a methodological framework for an empirical deterministic–stochastic modeling approach to utilize large real-world datasets in long-term energy systems modeling. A new software system—OSeMOSYS-PuLP—was developed and is available now.It adds the feature of Monte Carlo simulations to the existing open-source energy modeling system (the OSeMOSYS modeling framework). An application example is given, in which the initial application example of OSeMOSYS is used and modified to include real-world operation data from a public bus transport system.
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Olokotor, Nwachukwu Councillor. "Modelling Pathways to Energy Transition in Nigeria Using OSeMOSYS (Open-Source Energy Modelling System)." International Journal of Environment and Pollution Research 12, no. 1 (2024): 38–48. http://dx.doi.org/10.37745/ijepr.13/vol12n13848.

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During the COP26, world leaders reaffirmed their commitments to reduce CO2 emissions and discussed financial support for developing countries. Three important topics were highlighted: international carbon markets, common time frames, and transparency (WRI, 2021). This pledge is crucial for countries such as NIGERIA, who contributes less than 1% to global carbon emissions, yet it is one of the most affected by climate change (Germanwatch, 2021). NIGERIA being the world’s sixth-most populous nation (218.5 on 2022), has ambitious energy plans.
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Cannone, Carla, Lucy Allington, Nicki de Wet, et al. "clicSAND for OSeMOSYS: A User-Friendly Interface Using Open-Source Optimisation Software for Energy System Modelling Analysis." Energies 17, no. 16 (2024): 3923. http://dx.doi.org/10.3390/en17163923.

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Energy modelling plays a crucial role in assisting governmental and policymaking bodies to strategise long-term investments within the context of energy transition. Among the well-established open-source optimisation models, OSeMOSYS—the Open-Source Energy Modelling System—stands out. This paper introduces clicSAND, a novel user interface designed for OSeMOSYS, aimed at reducing the learning curve and supporting novice energy modelers in efficiently conducting long-term investment analyses. clicSAND, freely available and open-source, features a user-friendly Excel interface for data input, integrated solvers, and a visualisation dashboard for result interpretation. The outcomes, projected up to 2070, hold the potential to inform policy decisions and mobilise financial resources for sustainable development endeavors, such as ensuring affordable and secure energy supply and mitigating climate change impacts. This advancement not only democratises access to energy modelling tools but also empowers policymakers and stakeholders to conduct thorough long-term investment analyses with ease. This paper elaborates on clicSAND’s key advantages, architecture, and functionalities. Additionally, it discusses the evolutionary journey from clicSAND 1.0 to 3.0, emphasising a commitment to continuous improvement and user-centric adaptation, thereby enhancing its utility and relevance. The inclusion of a South African case study, conducted during the EMP-A (Energy Modelling Platform for Africa) 2021 international capacity-building event, showcases clicSAND’s efficacy in facilitating knowledge transfer and skill development among inexperienced users, while providing a tangible example of its application in addressing specific regional energy challenges and policy contexts. Finally, current applications and future extensions of the software are also presented.
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Welsch, M., M. Howells, M. Bazilian, J. F. DeCarolis, S. Hermann, and H. H. Rogner. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code." Energy 46, no. 1 (2012): 337–50. http://dx.doi.org/10.1016/j.energy.2012.08.017.

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Dixon, Lara, Rudolf Yeganyan, Naomi Tan, et al. "The Philippines’ Energy Transition: Assessing Emerging Technology Options Using OSeMOSYS (Open-Source Energy Modelling System)." Climate 13, no. 1 (2025): 14. https://doi.org/10.3390/cli13010014.

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The Philippines aspires for a clean energy future but has become increasingly reliant on imported fossil fuels due to rising energy demands. Despite renewable energy targets and a coal moratorium, emissions reductions have yet to materialize. This study evaluates the potential of offshore wind (floating and fixed), floating solar PV, in-stream tidal, and nuclear power to contribute to a Net-Zero energy plan for the Philippines, utilizing the Open-Source Energy Modelling System (OSeMOSYS). Seven scenarios were analyzed, including least-cost, renewable energy targets; Net-Zero emissions; and variations in offshore wind growth and nuclear power integration. Floating solar PV and offshore wind emerged as key decarbonization technologies, with uptake in all scenarios. Achieving Net-Zero CO2 emissions by 2050 proved technically feasible but requires substantial capital, particularly after 2037. Current renewable energy targets are inadequate to induce emissions reductions; and a higher target of ~42% by 2035 was found to be more cost-effective. The addition of nuclear power showed limited cost and emissions benefits. Emissions reductions were projected to mainly occur after 2038, highlighting the need for more immediate policy action. Recommendations include setting a higher renewables target, offshore wind capacity goals, a roadmap for floating solar PV, and better incentives for private investment in renewables and electric transport.
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Tetik, Hepnur, and Gokhan Kirkil. "The Role of Hydrogen in the Energy Mix: A Scenario Analysis for Turkey Using OSeMOSYS." Energies 17, no. 24 (2024): 6348. https://doi.org/10.3390/en17246348.

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The urgent need to tackle climate change drives the research on new technologies to help the transition of energy systems. Hydrogen is under significant consideration by many countries as a means to reach zero-carbon goals. Turkey has also started to develop hydrogen projects. In this study, the role of hydrogen in Turkey’s energy system is assessed through energy modeling using the cost optimization analytical tool, Open Source Energy Modelling System (OSeMOSYS). The potential effects of hydrogen blending into the natural gas network in the Turkish energy system have been displayed by scenario development. The hydrogen is produced via electrolysis using renewable electricity. As a result, by using hydrogen, a significant reduction in carbon dioxide emissions was observed; however, the accumulated capital investment value increased. Furthermore, it was shown that hydrogen has the potential to reduce Turkey’s energy import dependency by decreasing natural gas demand.
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Löffler, Konstantin, Karlo Hainsch, Thorsten Burandt, Pao-Yu Oei, Claudia Kemfert, and Christian von Hirschhausen. "Designing a Model for the Global Energy System—GENeSYS-MOD: An Application of the Open-Source Energy Modeling System (OSeMOSYS)." Energies 10, no. 10 (2017): 1468. http://dx.doi.org/10.3390/en10101468.

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Bechir, Mahamat Habib, and A. Lopez Aguera. "Environmental Sustainability Impact as Optimization Function of OSeMOSYS Energetic Modelling System." International Journal for Research in Applied Science and Engineering Technology 11, no. 9 (2023): 364–76. http://dx.doi.org/10.22214/ijraset.2023.55662.

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Abstract: The energy transition is a convoluted process in which decision-makers are facing several challenges, including transitioning to sustainability. In building a sustainable energy transition, the identification of adequate strategies is compulsory. Moreover, this can be achieved through an appropriate energetic mix design to the user's needs at the local, regional, or global level. Suitable energy design aims to identify, among different scenarios, the optimal time frame strategy that maximizes both socio-economic benefits and sustainability. These scenarios are assessed before possible implementation via different energetic modeling tools that are widely available nowadays, designed for economic optimization. The Open-Source Energy Modeling System (OSeMOSYS) is also intended for long-term economic optimization. OSeMOSYS flexibility enables the development of methodologies that adhere to the user's optimization constraints. Hence, this paper bounces an optimization methodology in line with sustainability, where the Impact Mitigation Potential in terms of Climate Change (IMPcc), the environmental sustainability indicator, is evaluated through the selection of energetic transition scenarios. To ensure the study's reproducibility, scenarios are provided as an exercise using data from Atlantis, a hypothetical country having features of both a developing and developed country. Besides the strictly economical optimization, IMPcc scenarios are established with emission penalty sub-scenarios of $100, $50, and $30/ton CO2 eq. As a result, Scenarios comparison highlights a significance decrease in emission by at least 70% that increase of the global cost by at least 2% comparing to the standard optimization.
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Paiboonsin, Pusanisa, Gbemi Oluleye, Mark Howells, Rudolf Yeganyan, Carla Cannone, and Simon Patterson. "Pathways to Clean Energy Transition in Indonesia’s Electricity Sector with Open-Source Energy Modelling System Modelling (OSeMOSYS)." Energies 17, no. 1 (2023): 75. http://dx.doi.org/10.3390/en17010075.

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Responding to the Paris Agreement and climate change mitigation, Indonesia aims to reach net zero by 2060 or sooner. Due to Indonesia’s dependence on coal and growing consumption, alternative sources of clean energy are imperative for meeting its rising energy needs and reducing energy-related greenhouse gas emissions to achieve the energy transition. This project aims to examine Indonesia’s opportunities and potential to achieve low carbon ambition in the energy sector and identify alternative pathways for the energy transition in Indonesia. In this study, the open-source energy modelling system (OSeMOSYS), which is a long-term energy system modelling tool, is employed to compare electricity generation, investment, and carbon dioxide emissions between business-as-usual and five alternative scenarios. Six scenarios, including business as usual, least-cost, two coal-phrase out and two net zero aligned with national climate targets and optimal scenarios, were simulated across different target years. The results show that the net zero (NZ) scenario is more cost-effective and emits fewer greenhouse gases than the other scenarios in meeting Indonesia’s future energy demand. However, achieving net zero by 2050 (NZ50) results in significantly lower CO2 emissions (10,134 MtCO2), which is less than half of the emissions in the net zero by 2060 (NZ60) scenario (16,849 MtCO2) at a similar cost (6229 and 6177 billion USD, respectively). This paper’s insights emphasise that large-scale renewable energy deployment and coal retirement are critical pathways to reaching carbon neutrality and achieving the energy mix transition.
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Dissertations / Theses on the topic "Open Source Energy Modeling System (OSeMOSYS)"

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Muschner, Christoph. "An Open Source Energy Modelling Framework Comparison of OSeMOSYS and oemof." Thesis, KTH, Energisystemanalys, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276986.

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Well-founded research is needed to gain sound insights into the relationship between energy and the environment in order to ensure a basis for responsible policy-making in the face of a climate crisis. Transparency in code and data is a prerequisite for reproducible research in energy modelling and its quality assurance and is embedded in the philosophy of open source energy modelling frameworks (OSEMFs). While the focus was on improving the quality of input data and comparing models to compare results, there has been a lack of research on the effects of the structural assumptions across different frameworks. This thesis analyses the structural differences and structural assumptions between the OSEMFs OSeMOSYS and oemof. The methodology applies a wholly harmonised experimental setup to allocate output differences to diverging contextual assumptions in the underlying different mathematical equations among the OSEMFs. Diverging results between OSEMFs based on different structural assumptions occurred in this thesis and traced back to their origin. OSeMOSYS's and oemof's underlying energy balance equations lead to the same results though, when diverging structural assumptions are removed. Already a single undocumented opaque assumption in the underlying mathematical equations among frameworks can have a noticeable influence on the optimisation results. The documentation of OSEMFs is still not comprehensive enough to facilitate investigations of this kind efficiently, and the documentation of assumptions embedded in OSEMFs’ mathematical equations needs to be more detailed. The thesis could identify opportunities to enhance the performance of OSeMOSYS and highlights the importance of correct framework documentations to ensure their usability in practice.<br>Välgrundad forskning är fundamentalt för att få en god insikt i förhållandet mellan energi och miljö för att säkerställa en grund för ansvarsfullt beslutsfattande inför diverse klimatkriser. Transparens i kod och data är en förutsättning för reproducerbar forskning inom energimodellering, dess kvalitetssärkring och är inbäddad i filosifin som behandlas av Open Source Energy Modelling Frameworks (OSEMF). Den primära fokusen av rapporten behandlar förbättring av kvaliteten av inmatningsdata och att jämföra resultatet från olika modeller. Det visar sig även finnas forskningsbrister inom effekterna av de strukturella antagagendana i dessa ramverk. Examensarbetet analyserar strukturella skillnader och strukturella antagendan mellan OSEMF, OSeMOSYS och eomof. Metoden tillämpar en harmoniserad experimentell uppsättning för att fördela resultat skillnaderna mellan OSEMF och dess strukturella antaganden. Avvikande resultat mellan OSEMF baserad på olika strukturella antaganden inträffade i denna avhandling och spårades tillbaka till deras ursprung. OSeMOSYS och oemofs underliggande energibalansekvationer leder dock till samma resultat när avvikande strukturella antaganden tas bort. Enstaka odokumenterat osammanhängande antagande i de underliggande matematiska ekvationerna mellan ramarna kan ha ett märkbart inflytande på optimeringsresultaten. Enligt resultat av examensarbetet går det att påstå att dokumentationen av OSEMF ännu inte är tillräckligt omfattande för att underlätta undersökning inom forskningsområdet, samt att dokumentationen av antaganden, vilka är inbäddade i OSEMF:s matematiska ekvationer måste vara mer detaljerade. Denna studie lyckades identifiera möjligheter att förbättra prestandan hos OSeMOSYS samt poängterar vikten av korrekta ramdokumentation för att säkerställa programmets användbarhet i praktiken.
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Nawfal, Saadi Failali. "An open source approach to Sweden's energy system : A review of future energy pathways." Thesis, KTH, Energisystemanalys, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147363.

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This paper discusses the development of an energy systems model for Swedenconsidering electricity, heat and direct fossil fuel consumption in the residential,industrial and transport sectors as well as the energy interaction with the other Nordiccountries and its impact on the Swedish energy system. The model is developed in theOpen source energy modelling system (OSeMOSYS) (Mark Howells 2011) andshowcases potential energy investment options for Sweden in the next four decades(2010-2050). It considers different scenarios and provides a technology neutralassessment of how Sweden can invest in energy infrastructure in the most judiciousway. The paper also describes the new user interface developed called ANSWEROSeMOSYS.The paper further discusses the results of the different scenarios. Thebusiness as usual scenario shows an inclination towards investments in nuclear power.Further scenarios consider the gradual phasing out of the use of oil in CHP plants andnuclear power as well as new energy policies and tax reforms. The paper discusses theseresults in detail and demonstrates how Sweden could improve its energy infrastructureconsidering different policy implications and constraints put up by the availability andfeasibility of different resources. Finally, the prospect of wider stakeholder engagementbased on this model is discussed. Building on the open-source nature of the model,inputs and modifications from research institutes, energy modelling experts,government bodies, as well as the wider public will be incorporated into the model. Thesource code and modelling data will be made publicly available.
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Gupta, Kushagra. "Techno-economic analysis of implementing energy-efficiency and alternative fuels in Indonesia using OSeMOSYS." Thesis, KTH, Energiteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280820.

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Indonesia’s energy demand has been growing rapidly driven by increasing population, urbanization, and rapid economic growth. With increasing energy demand, the emissions associated with the energy sector continue to increase. With the gradual increase in demand and dominant share of fossil fuels in the energy mix, implementing the energy efficiency measures is crucial for Indonesia to achieve its energy and climate goals. From the policy perspective, National Energy plan of Indonesia aims to achieve higher levels of energy efficiency to reduce the overall energy intensity. Indonesia also has commitments to reduce greenhouse gas emissions and achieve SDG targets. This report reviews the current status of energy demand and energy efficiency in Indonesia and evaluates the potential of implementing energy efficiency measures and fuel switching options to achieve future low carbon energy future. Long term energy model of Indonesia is modelled using the open-source modelling tool OSeMOSYS. Different scenarios have been developed to investigate the outcome of implementing energy efficiency and fuel switching measures in the Residential, Commercial, and Transportation sectors. The results are presented in terms of reduction in total final energy use, greenhouse gas emissions, and local air pollution. Cost-Benefit analysis of the applied measures present their financial feasibility. With the deployment of efficient appliances, up to 30% electricity savings can be achieved in the residential and commercial sector. Vehicle electrification can contribute towards reduction in annual energy use by 48% by the end of modelling period. Measures in the residential and commercial sector directly contribute towards emission reductions. Vehicle electrification does not show proportionate reduction in emissions compared to energy use reduction due to high carbon intensity of the electricity grid. However, significant reduction in local air pollutants can be achieved. Cost benefit analysis shows that deployment of efficient appliances is financially feasible with maximum 2 years of payback period. On the other hand, successful deployment of electric vehicles will require tangible support from government due to its high price premium compared to conventional vehicles. Energy efficiency measures and fuel switching also contribute substantially to achieving Sustainable Development Goal 7.3. In conclusion, this study presents a set of technically and economically feasible energy system development options for Indonesia. From the modelling perspective, this study identifies ways to implement demand side management measures in the energy supply modelling system OSeMOSYS.<br>Indonesiens energibehov har ökat snabbt drivet av ökande befolkning, urbanisering och snabbekonomisk tillväxt. Med ökande energibehov fortsätter utsläppen i energisektorn att öka. Medden gradvisa ökningen i efterfrågan och den dominerande andelen fossila bränslen ienergimixen är genomförandet av energieffektivitetsåtgärderna avgörande för att Indonesienska uppnå sina energi- och klimatmål. Ur politiskt perspektiv syftar Indonesiens nationella energiplan till att uppnå högre nivåer av energieffektivitet för att minska den totala energiintensiteten. Indonesien har också åtaganden att minska utsläppen av växthusgaser och uppnå SDG-mål. Denna rapport granskar den aktuella statusen för efterfrågan på energi och energieffektivitet i Indonesien och utvärderar potentialen för att genomföra energieffektivitetsåtgärder och alternativ för bränsleomkoppling för att uppnå framtida energiförbrukning med låg koldioxid. Indonesiens långsiktiga energimodell modelleras med hjälp av open-sourcemodelleringsverktyget OSeMOSYS. Olika scenarier har utvecklats för att undersöka resultatet av genomförande av energieffektivitet och bränsleomkopplingsåtgärder inom bostads-, kommersiellt och transportsektorn. Resultaten presenteras i termer av minskning av den totalaslutliga energiförbrukningen, växthusgasutsläpp och lokal luftföroreningar. Kostnadsnyttoanalys av de tillämpade åtgärderna utgör deras ekonomiska genomförbarhet. Med användning av effektiva apparater kan upp till 30% elbesparing uppnås i bostads- och affärssektorn. Fordonselektrifiering kan bidra till minskning av den årliga energiförbrukningen med 48% i slutet av modelleringsperioden. Åtgärder inom bostads- och kommersiell sektor bidrar direkt till utsläppsminskningar. Fordonselektrifiering visar inte proportionell minskning av utsläpp jämfört med energiförbrukningen på grund av hög kolintensitet i elnätet. Emellertid kan en betydande minskning av lokala luftföroreningar uppnås. Kostnads för delningsanalys visar att distribution av effektiva apparater är ekonomiskt möjlig med maximalt 2 års återbetalningsperiod. Å andra sidan kommer framgångsrik distribution av elfordon att kräva konkret stöd från regeringen på grund av dess höga prispremie jämfört med konventionella fordon. Energi effektivitetsåtgärder och bränsleomkoppling bidrar också väsentligt till att uppnå mål för hållbar utveckling 7.3. Sammanfattningsvis presenterar denna studie en uppsättning tekniska och ekonomiskt genomförbara energisystemutvecklingsalternativ för Indonesien. Från modelleringsperspektivet identifierar denna studie sätt att implementera hanteringsåtgärder på efterfrågesidan i modelleringssystemet för energiförsörjning OSeMOSYS.
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Rathinavel, Kruthika. "Design and Implementation of a Secure Web Platform for a Building Energy Management Open Source Software." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/55271.

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Commercial buildings consume more than 40% of the total energy consumption in the United States. Almost 90% of these buildings are small- and medium-sized buildings that do not have a Building Energy Management (BEM) system. The reasons behind this are – lack of awareness, unavailability of inexpensive packaged solutions, and disincentive to invest in a BEM system if the tenant is not the owner. Several open source tools and technologies have emerged recently that can be used for building automation and energy management. However, none of these systems is turnkey and deployment ready. They also lack consistent and intuitive navigation, security, and performance required for a BEM system. The overall project - of which this thesis research is a part - addresses the design and implementation of an open source secure web based user platform to monitor, schedule, control, and perform functions needed for a BEM system serving small and medium-size buildings. The focus of this work are: principles of intuitive graphical user interface design, abstracting device functions into a comprehensive data model, identifying threats and vulnerabilities, and implementing a security framework for the web platform. Monitor and control solutions for devices such as load controllers and sensors are abstracted and their decentralized control strategies are proposed and implemented using an open source robust scalable user platform accessible locally and remotely. The user platform is open-source, scalable, provides role-based access, dynamic, and modular in design. The comprehensive data model includes a user management model, device model, session model, and a scheduling model. The data model is designed to be flexible, robust and can be extended for any new device type. Security risks are analyzed using a threat model to identify security goals. The proposed security framework includes user authentication, device approval, role-based access, secure information exchange protocols, and web platform security. Performance of the user interface platform is evaluated for responsiveness in different screen sizes, page response times, throughput, and the performance of client side entities.<br>Master of Science
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Weirich, Manuel. "GLOBAL RESOURCE MODELLING OF THE CLIMATE, LAND, ENERGY AND WATER (CLEWS) NEXUS USING THE OPEN SOURCE ENERGY MODELLING SYSTEM (OSEMOSYS)." Thesis, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-131696.

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The development of a global model incorporating Climate, Land, Energy and Water (CLEW) parameters and interconnections was undertaken using the Open Source Energy Modelling SYStem. The model was to be a simplistic representation of the nexus systems and include the most relevant mechanisms between them. Two separate modules on land use and materials were created and combined with an already existing energy module. Water and climate parameters were added to all modules and they were combined to the global CLEWs Base model. Three scenarios were run on the separate sector modules and the combined model. Results from the comparison of the separate and combined modules indicate that the CLEW approach is applicable even on a simplistic, highly aggregated scale. Differences in resource allocation were observed when the same parameters were run in the single sector modules and in the combined base model. However, to make the model provide a representative image of global resource conditions additional data and parameters will be required. The resulting global CLEWs model provides a wide range of potential applications and can be easily expanded. As an open source tool it could act as an educational instrument or for policy support and be adapted to different geographical boundaries and detail.
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Klein-Miloslavich, Andreas. "Modeling, simulation, hardware development, and testing of a lab-scale airborne wind energy system." Thesis, 2020. http://hdl.handle.net/1828/11508.

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Airborne Wind Energy Systems (AWES) harness the power of high-altitude winds using tethered planes or kites. Continuous and reliable operation requires that AWES become autonomous devices, but the wind intermittency forces the system to repeatedly take-off to start, and land to shut-off. Therefore, a common approach to facilitate the operation is implementing Vertical take-off and landing (VTOL) functionality. This thesis models and simulates AWES flights working towards the implementation of flight controller hardware and autonomous operation of an AWES demonstrator platform. The Ardupilot open-source autopilot platform provides a convenient tool for modeling, simulation, and hardware implementation of small-scale airplanes. An AWES lab-scale demonstrator was developed to obtain operational insight, get preliminary flight data, and real-world experience in this technology. A quadplane was developed by combining a structurally reinforced glider with VTOL and autopilot components. Its performance is obtained from static and aerodynamic studies and converted into the Ardupilot parameter format to define it in the simulation. An AWES flight model was developed from the ground up to evaluate the performance of a simple flight controller in trajectory tracking. The Ardupilot Software-in-Loop (SIL) tool expands the simulation capabilities by running the flight controller code without requiring any hardware. This allowed controller tuning and flight plan evaluation with a more advanced fight model. AWES crosswind flight simulation was only possible due to the incorporation of an elastic tether and an ideal winch into the physics model. As a result, different trajectories and configurations were tested to find the optimal parameters that were uploaded to the flight controller board. The operational capabilities of the AWES demonstrator were expanded with a flight testing campaign. By targeting individual objectives, each test gradually increased its complexity and ensured that the flight envelope was safely expanded. The results were validated with the simulation before moving on to the next flight test. The testing campaign is still underway due to challenges and limitations presented by the legal and logistical aspects of operating the quadplane. However, preliminary flight tests in VTOL mode have been completed and were consistent with the simulated results in terms of autonomous waypoint navigation and attitude control.<br>Graduate
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Book chapters on the topic "Open Source Energy Modeling System (OSeMOSYS)"

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Sugita, Yukihiro, and Kazuo Hiekata. "Multi-Regional Modelling for Energy Systems Optimization for Open Discussion Based on OSS and Open Data." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde240954.

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The recent changes in the energy landscape have been extremely intense and complex, including the global movement toward decarbonization and the growing interest in security and resilience. In this situation, it would be preferable to consider open sharing of information and strategies with multiple stakeholders transdisciplinarily with open data and open-source software. The objective of this study is to clarify whether OSS energy system modelling tool OSeMOSYS and MoManI, which is European oriented application, can handle a model of Japan, where multiple regions are linked with complex interconnections. The basic function of OSeMOSYS is to calculate the configuration of power sources with the lowest cost for target period. In this study, two enhancements were made to this application. Firstly, since there are mechanical limits of ramp up/down rate in actual power generation facilities, new constraint equations were incorporated into model to set upper limits on the rate of changes. Secondly, three types of power supply facilities were arranged into model virtually to connect grids of multiple regions with restrictions. Overall, the optimization results for 2020 roughly reflect the trend in electricity supply by thermal power, hydro power, nuclear power, renewables and others. As for inter-regional transactions, the results reflect regions that receive supply from others (Tokyo, Kansai and Chugoku), regions that send electricity to others (Tohoku, Hokuriku, Shikoku and Kyushu), regions with a mixture of both (Hokkaido and Chubu) and regions with no transactions (Okinawa). The above results show that OSeMOSYS/MoManI can appropriately handle energy system of Japan.
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Corcau, Jenica-Ileana, Liviu Dinca, and Ciprian-Marius Larco. "Modeling and Simulation of APU Based on PEMFC for More Electric Aircraft." In Aeronautics - New Advances [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105597.

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The current challenge in aviation is to reduce the impact on the environment by reducing fuel consumption and emissions, especially NOX. An open research direction to achieve these desideratums is the realization of new electric power sources based on nonpolluting fuels, a solution being constituted using fuel cells with H2. Reducing the impact on the environment is aimed at both onboard and aerodrome equipment. This paper proposes the simulation and analysis of an auxiliary power source APU based on a fuel cell. The auxiliary power source APU is a hybrid system based on a PEM-type fuel cell, a lithium-ion battery, and their associated converters. The paper presents theoretical models and numerical simulations for each component. The numerical simulation is performed in MATLAB/SimPower Sys. Particular attention is to the converter system that adapts the parameters of the energy sources to the requirements of the electricity consumers on board the MEA-type aircraft. Power management is performed by a controller based on fuzzy logic.
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Ceballos-Pérez, José, Luis Ordóñez-López, and Juan Sierra-Grajeda. "Thermal analysis of a single-cell PEM-type fuel cell with a coil as flow field architecture and its impact on cathode water formation." In Innovative Applications in Sustainable Energy and Environment. ECORFAN, 2024. https://doi.org/10.35429/h.2024.13.67.75.

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The thermal analysis of Proton Exchange Membrane Fuel Cells (PEMFC) is crucial for understanding how temperature impacts both electrochemical performance and water management, key aspects of their operation. This study focuses on evaluating the effect of thermal variations and tortuosity on liquid water formation in the cathode and its influence on overall efficiency. The thermal analysis considers the interaction between heat transfer, tortuosity due to porosity, and the presence of liquid water. To solve the governing equations of the system, the open-source software OpenFOAM, based on C++, is used with the Finite Volume Method (FVM). This approach allows for accurate modeling of thermal behavior and mass transport in the PEMFC. The study examines performance through polarization curves at three operational temperatures: 323, 328, and 333 K, combined with tortuosity values of 1.5 and 2.5. These variations help understand how tortuosity affects reactant and product transport, as well as water management and overall cell performance.
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Mahto, Rakeshkumar, and Reshma John. "Modeling of Photovoltaic Module." In Solar Cells [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97082.

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A Photovoltaic (PV) cell is a device that converts sunlight or incident light into direct current (DC) based electricity. Among other forms of renewable energy, PV-based power sources are considered a cleaner form of energy generation. Due to lower prices and increased efficiency, they have become much more popular than any other renewable energy source. In a PV module, PV cells are connected in a series and parallel configuration, depending on the voltage and current rating, respectively. Hence, PV modules tend to have a fixed topology. However, in the case of partial shading, mismatching or failure of a single PV cell can lead to many anomalies in a PV module’s functioning. If proper attention is not given, it can lead to the forward biasing of healthy PV cells in the module, causing them to consume the electricity instead of producing it, hence reducing the PV module’s overall efficiency. Hence, to further the PV module research, it is essential to have an approximate way to model them. Doing so allows for understanding the design’s pros and cons before deploying the PV module-based power system in the field. In the last decade, many mathematical models for PV cell simulation and modeling techniques have been proposed. The most popular among all the techniques are diode based PV modeling. In this book chapter, the author will present a double diode based PV cell modeling. Later, the PV module modeling will be presented using these techniques that incorporate mismatch, partial shading, and open/short fault. The partial shading and mismatch are reduced by incorporating a bypass diode along with a group of four PV cells. The mathematical model for showing the effectiveness of bypass diode with PV cells in reducing partial shading effect will also be presented. Additionally, in recent times besides fixed topology of series–parallel, Total Cross-Tied (TCT), Bridge Link (BL), and Honey-Comb (H-C) have shown a better capability in dealing with partial shading and mismatch. The book chapter will also cover PV module modeling using TCT, BL, and H-C in detail.
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Harris Angel D, Er, Er Revathi V, Er Rosalin Muskil G, and Dr Senbagavalli M. "APPLICATION OF DATA SCIENCE IN RENEWABLE ENERGY SYSTEMS." In Futuristic Trends in Computing Technologies and Data Sciences Volume 3 Book 6. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bict6p1ch2.

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The increasing Power demand has made the need for optimal use of Renewable Energy systems in Power sector. Non renewable energy sources are depleting every day and cause many impacts in the environment. So in order to meet the global need of clean energy it is important to concentrate on renewable energy sources like solar and wind power. Here we emphasize the application of Data science in renewable power production to improve efficiency and reliability. Changing weather makes the solar power inefficient and non-reliable. The process starts from collecting weather data from weather forecasting sources. A sensor unit to sense temperature, humidity and rain is also set in phase to feed the weather data. Analyzing the weather forecast values and IoT sensor values with the preset reference values through the ML algorithm the Data Modeling will be done. So integrating the IoT sensors and weather forecast data with Solar Panel movement and rotation control will make the Power production more efficient. It makes the Power Generation Capacity of the Solar plant Predictable and makes the operation easy during Peak Demands. Maintenance and installation of new Photovoltaic panels can be done based on the data models and analytics. Thus the overall efficiency of the power system will be improved by optimal result evaluation and testing. The same process can be applied to the wind mills. The direction, speed and velocity values of wind can be fed to the data collection unit using IoT and further analysis and evaluation can be done by ML algorithms and open source soft ware’s like Python, Anconda and Jupyter notebook.
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Conference papers on the topic "Open Source Energy Modeling System (OSeMOSYS)"

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Fellner, David, Thomas I. Strasser, and Wolfgang Kastner. "The DeMaDs Open Source Modeling Framework for Power System Malfunction Detection." In 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES). IEEE, 2023. http://dx.doi.org/10.1109/osmses58477.2023.10089746.

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Panfilov, Peter, Alexander Suleykin, Ahmed ElDarawany, and Denis Elpashev. "Open-Source Digital Infrastructure Capacity Prediction System for Production Company." In 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2021. http://dx.doi.org/10.1109/summa53307.2021.9632166.

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Al Ibrahim, Mustafa A. "An open-source toolbox to automate basin and petroleum system modeling for statistical analysis and uncertainty quantification." In International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2023. http://dx.doi.org/10.1190/image2023-3914751.1.

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Hinkelman, Kathryn, David Milner, and Wangda Zuo. "Open-Source Models for Sand-Based Thermal Energy Storage in Heating Applications." In 15th International Modelica Conference 2023, Aachen, October 9-11. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp204627.

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This paper presents a new open-source modeling package in the Modelica language for particle-based silica-sand thermal energy storage (TES) in heating applications, available at https://github.com/sbslab/modelica-sand. Silica sand is an abundant, low-cost, and efficient storage medium for concentrated solar power and electricity generation. Although uncommon today, solid particle TES could benefit building and district heating systems, particularly as building electrification and renewable energy penetration increases. To enable heating system design and evaluation with sand TES, this work developed and open-source released Modelica models from base classes through complete systems with both physical equipment and controls. This paper first presents the new models. Then, we demonstrate their application with a heating plant that supplies steam for district heating, while also providing power-to-heat grid services by storing excesses renewable electricity as thermal energy.
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So, Ratanak, Asher Simmons, Ted Brekken, Kelley Ruehl, and Carlos Michelen. "Development of PTO-Sim: A Power Performance Module for the Open-Source Wave Energy Converter Code WEC-Sim." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-42074.

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WEC-Sim (Wave Energy Converter-SIMulator) is an open-source wave energy converter (WEC) code capable of simulating WECs of arbitrary device geometry subject to operational waves. The code is developed in MATLAB/Simulink using the multi-body dynamics solver SimMechanics, and relies on Boundary Element Method (BEM) codes to obtain hydrodynamic coefficients such as added mass, radiation damping, and wave excitation. WEC-Sim Version 1.0, released in Summer 2014, models WECs as a combination of rigid bodies, joints, linear power take-offs (PTOs), and mooring systems. This paper outlines the development of PTO-Sim (Power Take Off-SIMulator), the WEC-Sim module responsible for accurately modeling a WEC’s conversion of mechanical power to electrical power through its PTO system. PTO-Sim consists of a Simulink library of PTO component blocks that can be linked together to model different PTO systems. Two different applications of PTO-Sim will be given in this paper: a hydraulic power take-off system model, and a direct drive power take-off system model.
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Tran, Thanh Toan, Hannah Ross, Will Wiley, Lu Wang, and Senu Sirnivas. "High- and Mid-Fidelity Modeling Comparison for a Floating Marine Turbine System." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-128251.

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Abstract There is a lack of suitable numerical tools, particularly open-source tools, that can be used for designing and optimizing marine turbine systems. The National Renewable Energy Laboratory has added features to their widely used mid-fidelity wind turbine modeling code, OpenFAST, to enable modeling of axial-flow marine turbines. This necessitated the addition of several physical effects relevant to marine turbines that are neglected for wind turbines. These include buoyancy, added mass and inertial loads, wave-current superposition, and changes to the coordinate systems. This updated version of OpenFAST allows for the modeling of both fixed and floating marine turbines at a speed comparable to real time. While efficient for large sets of load cases and design studies, mid-fidelity codes make simplifying assumptions that may impact their accuracy. High-fidelity computational fluid dynamics (CFD) simulations can capture more flow effects with fewer assumptions and provide detailed body pressure mapping and flow-field information. It is important to compare predictions between mid-fidelity and high-fidelity codes, both to verify the models and to understand the limitations. A floating marine turbine system was modeled both with OpenFAST and with the commercial CFD code STAR-CCM+. The CFD model used a three-dimensional unsteady Reynolds-averaged Navier-Stokes solver for a volume-of-fluid numerical wave and current tank. The blade-resolved simulations used the sliding-interface technique for the spinning rotor and an overset grid to accommodate the rigid-body motion of the floating system. The mooring system was modeled with a custom coupling of the CFD solver with the open-source code MoorDyn. This improves upon the existing quasi-static catenary solver in STAR-CCM+, which lacks seabed contact or line-to-line connections. Simulation results for a floating marine turbine are compared between OpenFAST and CFD, highlighting the capabilities of the mid-fidelity code and identifying the areas where a high-fidelity approach is needed.
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Owoeye, Eyitayo J., and DuWayne Schubring. "CFD Modeling of Single Bubble Collapse in Subcooled Boiling." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17379.

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The open-source software OpenFOAM has been employed to better understand the transport, deformation, and collapse of single, isolated bubbles in subcooled boiling. High pressure steam-water was selected as the fluid system of interest due to its relevance to the power generation industry. Ranges of bubble size, subcooling, pressure/saturation temperature, and mesh refinement have been employed. Both quantitative (bubble rise velocity and collapse times) and qualitative (bubble shape) results are discussed across the parameter ranges studied.
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Nunes, Isabelle F. S., Tárcio A. S. Barros, and Denis G. Fantinato. "A Web-Based System for Photovoltaic Energy Generation: Use of Mathematical Models for Irradiance in Brazil." In Escola Regional de Informática de Goiás. Sociedade Brasileira de Computação, 2024. https://doi.org/10.5753/erigo.2024.4791.

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In the context of renewable energy generation, software tools are essential for addressing the sector’s main challenges. For instance, Photovoltaic (PV) energy demands a study of the PV plant allocation before its deployment to improve efficiency. However, the visualization tools that perform this task face some usability issues, such as the complementary artifacts to analyze and data-driven modeling. In that sense, this work proposes an artifact with an intuitive and user-friendly platform built as a web-based application with open-source technologies, considering the PV mathematical models. The web-based system gathers a set of mathematical models available and was tested for Brazilian irradiance simulation, allowing inclined plane analysis and other variants.
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Yaïci, Wahiba, Evgueniy Entchev, and Michela Longo. "Thermodynamic Modeling and Simulation of an Organic Rankine Cycle-Ejector Heat Pump-Based Trigeneration System Using a Zeotropic Mixture." In ASME 2022 16th International Conference on Energy Sustainability collocated with the ASME 2022 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/es2022-80868.

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Abstract To solve the problem of low thermal efficiency of the organic Rankine cycle (ORC) and to enhance the coefficient of performance (COP) of ejector refrigeration cycle, an ORC combined with an ejector heat pump-based combined cooling, heat and power system using a zeotropic working fluid mixture is proposed in this paper. Utilization of zeotropic mixtures could improve the thermodynamic performance of ORC systems owing to superior fits of the temperature profiles of the working fluid and the heat source/sink. A thermodynamic model is built to predict the performance of the proposed trigeneration system using butane/propane zeotropic mixture. The model was validated with data obtained from the open literature. It was then applied to investigate and optimize the effect of a wide range of parameters on system performance. A detailed parametric analysis was then performed to assess the influence of generator temperature and entrainment ratio on the system’s heating, cooling and power efficiencies, exergy and thermal efficiencies, and COP. The analysis also examined the effect of mass fraction on the system’s power and cooling efficiencies. The results disclosed that for the zeotropic butane/propane mixture with mass fractions of 0.5/0.5, a generator temperature of 75°C and entrainment ratio of 0.5 produced a net power output of 136.3 kW, with a power efficiency of 4.6 %, a heating efficiency of 95.4%, a cooling efficiency of 42.9%, and a COP of 1 .43. With such thermodynamic analysis, the study demonstrated that the proposed system is feasible.
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Kikstra, Jan Foeke, and Adrian H. M. Verkooijen. "Dynamic Modeling of a Closed Cycle Gas Turbine CHP Plant With a Nuclear Heat Source." In ASME 1999 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/99-gt-002.

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The High Temperature Gas-cooled Reactor is a promising concept for inherently safe nuclear power generation. This paper deals with dynamic modeling of the energy conversion system of a combined heat and power plant, based on a helium cooled reactor in combination with a closed cycle gas turbine system. The model will be used to design and test a control system and to analyze transients following incidents. A one-dimensional flow model describing the helium flow and the two-phase water flow is used through the whole plant, with different source terms in different pieces of equipment. A stage-by-stage model is produced for the radial compressor and axial turbine. Other models include the recuperator, water/helium heat exchangers a natural convection evaporator, valves, etc. With this model, open-loop responses from controlled parameters (shaft speed, temperatures and pressures) on changes of reactor power, valve-positions etc. have been established.
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