Net Present Value Research Articles

Economic and Financial Viability of Pig Farming in The Integrated Termination System

Objective: The study aims to compare the economic and financial viability of expanding the pig farming activity carried out in the finishing system, on a rural property in the municipality of Xavantina/SC.
  
 Search method: Methodologically, the research is descriptive, carried out through a case study and qualitative analysis. From the collection of data relating to batches from the period 2019 and 2020, a statement of the results of the pig farming activity was prepared. Discounted payback, Internal Rate of Return (IRR) and Net Present Value (NPV) were used for analysis.
  
 Main results: Economic results demonstrate the net margin per batch of pigs of up to 64% in the current finishing system. With the increase in investments, the net margin is up to 44% per lot. The results show a financial return time of 10 years, 11 months and 8 days, with an IRR of 10.08% in the current situation. Considering the investments in expanding the new piggery and the revenue and expense projections, the financial return will occur in 18 years, 11 months and 8 days, with the IRR at 10.02%. In general, the results demonstrate the importance of rural accounting as a support instrument in monitoring activities developed to support the economic-financial analysis of investments and the decision-making process.

Joint stochastic optimisation of stope layout, production scheduling and access network

The three main optimisation components of sublevel stoping methods are stope layout, production schedule (or stope sequencing) and access networks. The joint optimisation of these components could further add value to an underground mining project. This potential has not been considered in the literature due to computational difficulties, and the problem was solved sequentially. This paper proposes a new joint optimisation model to integrate these components. In addition, the proposed optimisation model incorporates stochastic simulations to capture uncertainty and variability associated with the grades of the related mineral deposits mined. The optimisation model is based on a two-stage stochastic integer programming (SIP) formulation that maximises the project's net present value (NPV) and minimises the planned dilution. Applying the proposed method at a small copper deposit shows that the SIP outperforms the results obtained from mixed integer programming. For a seven-year mine life, the SIP model generated ∼20% more NPV, demonstrating the importance of developing a joint optimisation formulation and accounting for grade uncertainty and variability.

A New Method for Optimizing Water-Flooding Strategies in Multi-Layer Sandstone Reservoirs

As one of the most important and economically enhanced oil-recovery technologies, water flooding has been applied in various oilfields worldwide for nearly a century. Stratified water injection is the key to improving water-flooding performance. In water flooding, the water-injection rate is normally optimized based on the reservoir permeability and thickness. However, this strategy is not applicable after oilfields enter the ultra-high-water-cut period. In this study, an original method for optimizing water-flooding parameters for developing multi-layer sandstone reservoirs in the entire flooding process and in a given period is proposed based on reservoir engineering theory and optimization technology. Meanwhile, optimization mathematical models that yield maximum oil recovery or net present value (NPV) are developed. The new method is verified by water-flooding experiments using Berea cores. The results show that using the method developed in this study can increase the total oil recovery by approximately 3 percent compared with the traditional method using the same water-injection amounts. The experimental results are consistent with the results from theoretical analysis. Moreover, this study shows that the geological reserves of each layer and the relative permeability curves have the greatest influence on the optimized water-injection rate, rather than the reservoir properties, which are the primary consideration in a traditional optimization method. The method developed in this study could not only be implemented in a newly developed oilfield but also could be used in a mature oilfield that has been developed for years. However, this study also shows that using the optimized water injection at an earlier stage will provide better EOR performance.

Environmental, healthcare, and societal impacts of asthma: a UK model-based assessment

BackgroundThis study aimed to assess the broader environmental, healthcare, and societal impacts across the entire asthma pathway from diagnosis to treatment, in the United Kingdom (UK).MethodsA comprehensive cost-of-Illness framework was developed considering the effects of the full asthma patient pathway, including greenhouse gas (GHG) emissions generated from inhalers, National Health Service (NHS) costs, health-related quality of life (HRQoL), and productivity losses. The model was based on published literature and clinical expert opinion to accurately estimate, in monetary terms, the net present value (NPV) of the asthma pathway impacts for 2022–31.ResultsThe estimated NPV of the environmental, healthcare, and societal impacts of the asthma pathway was £47 billion over the 2022–31 period in the UK. Loss of disease control was a key contributor to higher GHG emissions and NHS costs. In 2022, a non-severe uncontrolled patient was estimated to incur 22% higher NHS costs than a controlled patient, whilst generating 0.1 tonnes (t) more of CO2equivalent (CO2e) emissions. In the same year, the total direct impacts per severe patient was four times higher than a non-severe controlled patient, with 0.54t CO2e of GHG emissions. Moreover, as much as 77% of the total economic impact was driven from HRQoL worsening and productivity impacts occurring when patients’ symptoms are uncontrolled.ConclusionsUncontrolled asthma significantly impacts the economy, environment, and patients in the UK. Hence, our results emphasize the need for a holistic approach in controlling asthma and might be carefully considered when developing policies to mitigate the overall burden of the disease.

Coupling and Quantifying Sustainability and Resilience in Intelligent Buildings

Over recent years, the sustainability and resilience concept has increased its significance in the construction industry. Sustainability is associated with implementing best practices in the construction industry, while resilience is the adaptability and tolerance of systems in harsh conditions. The concepts are learned in the construction process. Moreover, building automation is growing rapidly, and buildings are becoming increasingly dependent on complex systems and technology and susceptible to unanticipated failure. Though sustainability and resilience concepts are interlinked, limited research quantifies their combination, resulting in a limited comprehension of how both concepts interact during application by developers in a smart building. Therefore, this study has established a financial model that employs Net Present Value (NPV) in studying the inference and clampdown of investment in both concepts. NPV was estimated using indirect and direct costs and benefits derived from the continuous integration of sustainability and resilience in a smart building. To quantify sustainability, its three components had to be quantified. Reduced energy expenditure and government environmental incentives were used to calculate the environmental component. Workers’ cost savings, fire insurance cost savings, and additional system maintenance costs were used to calculate the economic component. The social component of sustainability measured hard-to-quantify attributes like productivity, indoor environment quality, reputation, extra profit, services, and safety. To quantify them, a survey and RII method were used. The two concepts were then coupled by estimating the benefits and costs of installing and keeping resilience tools in design that are sustainable in the smart building and the impact study on the NPV outcome. Application of the design model was also carried out on four smart buildings that were selected in Dubai. The result indicated that coupling sustainable approaches and resilience yields higher NPV by at least 22%. Nevertheless, for NPV to be maintained positively and reduce the cost of failure, faulty detection tools should be assimilated while designing sustainable and smart buildings. The findings of this study will contribute to the benefit of other researchers, developers, investors, managers, engineers, and anyone who is involved in the design or construction process of intelligent buildings.

Community Battery for Collective Self-Consumption and Energy Arbitrage: Independence Growth vs. Investment Cost-Effectiveness

Integrating a grid-connected battery into a renewable energy community amplifies the collective self-consumption of photovoltaic energy and facilitates energy arbitrage in the electricity markets. However, how much can energy independence really increase? Is it a cost-effective investment? The answer to these questions represents a novelty in the literature due to the innovative nature of the asset under consideration and the market and regulatory framework in which it is evaluated. Employing a net present value assessment, our analysis incorporated aging effects and conducts sensitivity analyses across various parameters: the number of community customers, electricity market prices, battery cost and size, and the decision to engage in energy arbitrage. Each scenario underwent a 20-year hourly simulation using an aging-aware rolling-horizon 24 h-looking-ahead scheduling, optimized with mixed-integer linear programming. Simulations conducted on the Italian market indicate that dedicating a battery solely to collective self-consumption is the most efficient solution for promoting a community’s energy independence, but it lacks economic appeal. However, integrating energy arbitrage, despite slight compromises in self-sufficiency and battery longevity, halves the payback period and enhances the attractiveness of larger battery investments. The net present value is contingent upon the battery size, customer number, and market prices. Nevertheless, if the battery cost does not exceed 200 EUR/kWh, the investment becomes cost-effective across all scenarios.

Oxygen Storage Incorporated Into Net Power and the Allam–Fetvedt Oxy-Fuel sCO2 Power Cycle—Techno-Economic Analysis

Abstract With the planned future reliance on variable renewable energy, the ability to store energy for prolonged time periods will be required to reduce the disruption of market fluctuations. This paper presents a method to analyze a hybrid liquid-oxygen (LOx) storage/direct-fired supercritical carbon dioxide (sCO2) power cycle and optimize the economic performance over a diverse range of scenarios. The system utilizes a modified version of the NET Power process to produce energy when energy demand exceeds the supply while displacing much of the cost of the air separation unit (ASU) energy requirements through cryogenic storage of oxygen. The model uses marginal cost of energy data to determine the optimal times to charge and discharge the system over a given scenario. The model then applies ramp rates and other time-dependent factors to generate an economic model for the system without storage considerations. The size of the storage system is then applied to create a realistic model of the plant operation. From the real plant operation model, the amount of energy charged and discharged, the capital expenditures (CAPEX) of each system, energy costs and revenue and other parameters can be calculated. The economic parameters are then combined to calculate the net present value (NPV) of the system for the given scenario. The model was then run through the SMPSO genetic algorithm in Python for a variety of geographic regions and large-scale scenarios (high solar penetration) to maximize the NPV based on multiple parameters for each subsystem. The LOx storage requirements will also be discussed.

Do investments in phosphorus recovery from dairy processing wastewater pay off?

While phosphorus fertilizers contribute to food security, part of the introduced phosphorus dissipates into water bodies leading to eutrophication. At the same time, conventional mineral phosphorus sources are increasingly scarce. Therefore, closing phosphorus cycles reduces pollution while decreasing trade dependence and increasing food security. A major part of the phosphorus loss occurs during food processing. In this article, we combine a systematic literature review with investment and efficiency analysis to investigate the financial feasibility of recovering phosphorus from dairy processing wastewater. This wastewater is particularly rich in phosphorus, but while recovery technologies are readily available, they are rarely adopted. We calculate the Net Present Value (NPV) of investing in phosphorus recycling technology for a representative European dairy processing company producing 100,000 tonnes of milk per year. We develop sensitivity scenarios and adjust the parameters accordingly. Applying struvite precipitation, the NPV can be positive in two scenarios. First, if the phosphorus price is high (1.51 million EUR) or second if phosphorus recovery is a substitute for mandatory waste disposal (1.48 million EUR). However, for a variety of methodological specifications, the NPV is negative, mainly because of high input costs for chemicals and energy. These trade-offs between off-setting pollution and reducing energy consumption imply, that policy makers and investors should consider the energy source for phosphorus recovery carefully.

The Impact of the Water Tariff on the Economic Feasibility of Rainwater Harvesting for Use in Residential Buildings

This study aims to analyse the technical viability and economic feasibility of rainwater-harvesting systems for single- and multifamily residential buildings in the city of Florianópolis, Brazil. Simulations were conducted for representative buildings in the city under different water-usage scenarios and system designs, in a total of 36 simulation scenarios. An economic analysis was performed for four scenarios over a twenty-year period. Both initial and operational costs were considered, and the net present value, internal rate of return, and payback were used as feasibility indicators. For houses, between 60.1% and 74.8% of the cases were economically feasible, achieving a discounted payback period ranging from 6.2 to 8.6 years. For flats, between 57.8% and 64.2% of the cases were economically feasible, achieving a discounted payback period ranging from 4.8 to 5.6 years. As the water tariff in the city underwent changes recently, the former and current tariff formats were compared. The current tariff format provides more economic benefits for saving potable water, and leads to a higher net present value and a shorter discounted payback period. This research stands out from previous studies as it examines a new scenario in the use of rainwater-harvesting systems.

Analisis Blibiometrik Operating and Economic Exposure Dengan Publish or Perish dan VosViewer

This research aims to review comprehensive studies in an exploratory manner regarding operating exposure or economic exposure as an influence of fluctuations in the forex rate or foreign exchange rates on the present value of future cash flows in companies. The sample consists of 100 documents published in the period 2013 to 2023 using the crossref database with the keywords, forex rate, present value (PV), future value cash flow. This research conducted a systematic literature review using a bibliometric approach. Publish or perish and VOSviewer software were used to perform graphical analysis of bibliometric data and visualization of research results. Based on the visualization obtained, there are five types of colors as a clustering of links and relationships in terms of Operating Exposure which are searched in the database based on keywords. The first cluster is red which includes Indonesian stock exchange, earnings, stock price, value relevance, economic value. Then for the green cluster free cash flow and firm value. Then for the yellow cluster corporate governance, cash holding, and firm. Then for the light blue cluster, it is value and future direction. Then for the blue cluster it is rate, risk and overall tax advantages, and the last cluster in purple is net present value, return and cost. Bibliometric analytics can systematically review a number of studies to provide a less biased perspective. This also helps future research by combining research based on connectivity between keywords to better understand operating exposure in terms of company financial management.

HyDesign: a tool for sizing optimization of grid-connected hybrid power plants including wind, solar photovoltaic, and lithium-ion batteries

Abstract. Hybrid renewable power plants consisting of collocated wind, solar photovoltaic (PV), and lithium-ion battery storage connected behind a single grid connection can provide additional value to the owners and society in comparison to individual technology plants, such as those that are only wind or only PV. The hybrid power plants considered in this article are connected to the grid and share electrical infrastructure costs across different generation and storing technologies. In this article, we propose a methodology for sizing hybrid power plants as a nested-optimization problem: with an outer sizing optimization and an internal operation optimization. The outer sizing optimization maximizes the net present values over capital expenditures and compares it with standard designs that minimize the levelized cost of energy. The sizing problem formulation includes turbine selection (in terms of rated power, specific power, and hub height), a wind plant wake loss surrogate, simplified wind and PV degradation models, battery degradation, and operation optimization of an internal energy management system. The problem of outer sizing optimization is solved using a new parallel “efficient global optimization” algorithm. This new algorithm is a surrogate-based optimization method that ensures a minimal number of model evaluations but ensures a global scope in the optimization. The methodology presented in this article is available in an open-source tool called HyDesign. The hybrid sizing algorithm is applied for a peak power plant use case at different locations in India where renewable energy auctions impose a monetary penalty when energy is not supplied at peak hours. We compare the hybrid power plant sizing results when using two different objective functions: the levelized cost of energy (LCoE) or the relative net present value with respect to the total capital expenditure costs (NPV/CH). Battery storage is installed only on NPV/CH-based designs, while the hybrid design, including wind, solar, and battery, only occurs on the site with good wind resources. Wind turbine selection on this site prioritizes cheaper turbines with a lower hub height and lower rated power. The number of batteries replaced changes at the different sites, ranging between two or three units over the lifetime. A significant oversizing of the generation in comparison to the grid connection occurs on all NPV/CH-based designs. As expected LCoE-based designs are a single technology with no batteries.

Suitability of late-life lithium-ion cells for battery energy storage systems

The globally installed capacity of battery energy storage systems (BESSs) has increased steadily in recent years. Lithium-ion cells have become the predominant technology for BESSs due to their decreasing cost, increasing cycle life, and high efficiency. However, the cells are subject to degradation due to a multitude of cell internal aging mechanisms, which result in reduced capacity, efficiency, and usable nominal power range over a BESS life cycle. Towards their end-of-life, the cells often show a steep increase in their degradation rate, called nonlinear aging. This work investigates how these ”late-life” lithium-ion cells perform in typical BESS applications. We show how decreased capacity, efficiency, and nominal power range impact the profitability of a home storage system for self-consumption increase (SCI) and a large-scale storage system for energy arbitrage (EA). A physicochemical aging model, which accounts for lithium-plating-induced nonlinear aging, is developed and parameterized based on an experimental cell aging study. The aging study and model show that cells that have entered the nonlinear aging phase can transition back to a significantly reduced degradation rate through adapted operating conditions, namely a reduced charging rate and operating voltage window. The case study highlights that the battery cells enter the nonlinear aging phase significantly earlier when used for the EA application compared to the SCI application. However, by adapting the operating conditions below 80% state of health, the obtainable net present value over the investigated ten-year timeframe in the EA application increases by 39.8%, and the lifetime is significantly prolonged.

Vision of Offshore Energy Hub at Faroe Islands: The Market Equilibrium Impact

This study examines the integration of an offshore wind farm and green hydrogen production as a strategy to enhance the Faroe Islands' energy independence and reduce its carbon footprint. Utilizing the EnergyPLAN tool and market economic simulations, including Levelized Cost of Hydrogen and Net Present Value calculations, the research evaluates the economic viability and environmental impact of transitioning to renewable energy sources by 2030. The analysis explores various scenarios, ranging from dedicated offshore wind for in-turbine hydrogen production to platform-based electricity and hydrogen distribution. Results indicate that integrating offshore wind with green hydrogen production can significantly reduce CO2 emissions and dependency on imported fossil fuels. However, financial viability hinges on supportive mechanisms such as investment subsidies. The study's findings suggest that achieving economic feasibility requires strategic policy frameworks. This research contributes to the discourse on sustainable energy planning by offering insights into the dynamics of system integration, market economic simulations, and the role of support mechanisms in facilitating the green transition.

Olive leaves upgrading applying a novel two-stage organosolv pretreatment: Techno-economic and environmental assessment

This research study evaluates the techno-economic and environmental performance of an olive leaves based biorefinery to produce antioxidants, bioethanol, and organosolv lignin. The biorefinery comprises processes such as organosolv extraction, organosolv pretreatment and simultaneous saccharification and fermentation, which were simulated in Aspen Plus v9.0. Experimental data were used to simulate the process, assuming a linear up-scaling. The techno-economic evaluation was carried out considering financial indicators such as net present value (NPV) and internal rate of return (IRR). The environmental assessment was done applying the life cycle assessment methodology. The results shows that 100g olive leaves can produce 16.58g antioxidant extract, 11.12g organosolv lignin, and 2.85g bioethanol. The proposed biorefinery was feasible at a processing scale of 30,000 t/y with a NPV of 47.9 million USD and an internal rate of return of 27.8%. The proposed biorefinery can be implemented in Jaén (Andalusia-Spain) based on the high amount of olive leaves produced in this region. Stillages are the most polluting waste stream of the process. The carbon footprint of the biorefinery was 1.13 kgCO2-eq/kg olive leaves. The application of the biorefinery concept revealed that olive leaves could be transformed into value-added products from a techno-economic and environmental perspective.

Mechanisms and economics of a self-powered, automated, scalable solar PV surface cleaning system

PV module exposure to ambient environmental factors, such as dust deposits, have negative effects on the module's peak power (Pmax) and overall power conversion efficiency (η). In this study the ideal counter-acting force needed to remove adhered dust particles on PV modules is investigated. An automated self-cleaning system that uses fluid velocities to suspend adhered dust particles on the PV module surface at a reduced induced static charge induction is designed. The automated system produces lift and drag forces of 3.973 N and 4.563 N per square metre, respectively, which are strong enough to loosen stuck-on dust particles on solar PV surfaces. The model’s net present value (NPV) of $ 2383.71 with a dynamic payback period of 1.95 years and profitability index of 1.78 indicate that the investment in the self-cleaning model is financially feasible even for small-scale installations.

Technical-economic evaluation of a 94.5 MW wind power plant at different elevation heights. A case study in Peru's countryside

The scarce promotion of wind energy generation in Peru leads to using fossil fuels and polluting the environment with greenhouse effect gasses. Furthermore, the countryside at height provides some of the areas with great wind resource potential and it has not been exploited yet. This study aims to examine five cases in the Peruvian countryside located at heights ranging from 2400 to 4200 m above sea level to explore the effect of elevation height in energy production and economic indicators. Wind data from the Global Wind Atlas and POWER were used for each area, and a comparative analysis was conducted to assess the accuracy of these datasets. For the economic analysis, break-even Levelized Cost of Energy and Net Present Value were calculated. The findings indicate that the Levelized Cost of Energy was the lowest, ranging between 35 and 39 $/MWh, for elevations between 3000 and 4200 m above sea level. Conversely, the highest costs, ranging from 50 to 79 $/MWh, were observed at lower elevations. This suggests that these high-altitude provinces offer significant wind energy potential, making them suitable for wind farm development.

325 The Economic Impact of Pediatric and Adolescent Gunshot Wound Mortality

INTRODUCTION: Gunshot wounds (GSW) are the leading cause of pediatric/adolescent mortality in the United States. The total economic impact of lost productivity has not been previously quantified. METHODS: The CDC WONDER database was utilized to document GSW fatalities of individuals 19 years and younger between 2001-2021. The weighted net present value (NPV) of potential future lost income for each child was calculated based on the Social Security Administration’s estimated NPV of lifetime earnings at age 20, using a 4% discount rate, and factoring in updated US census data on education status, graduation rates, and wage-gaps. Each year’s total lost income was adjusted to 2022 USD using the CPI-W. Sensitivity analysis tested the robustness of our model parameters’ variability on our model results. RESULTS: 64,503 total pediatric/adolescent GSW mortalities have occurred since 2001. Total estimated NPV income loss in 2022 USD is $58.78 Billion. This correlates with an estimated loss to Social Security of $7.29 Billion. Sensitivity analyses found that changes in salary had the highest potential impact on the final outcomes. Overall, the worst-case income scenario (-20% change in base salary) showed an estimated $47 Billion economic loss in 2022 USD. A similar analysis for total pediatric mortality due to neurological disease showed an economic loss of $18.86 Billion. CONCLUSIONS: The economic impact of income lost due to pediatric GSW fatalities between 2001-2021 is estimated to be $58.78 billion, with minimum value of $47 billion after sensitivity analysis. This estimate likely undervalues the total economic impact of pediatric gun violence since it is based on median salaries and excludes medical treatment, long-term disability/morbidity, multiplier effects, or future offspring productivity. The total cost to society of pediatric GSW mortality significantly exceeds all neurologic-related mortality and is too high for physicians and policymakers to ignore.

Minimizing grid energy consumption in wastewater treatment plants: Towards green energy solutions, water sustainability, and cleaner environment

Wastewater treatment plants (WWTPs) consume significant amount of energy to sustain their operation. From this point, the current study aims to enhance the capacity of these facilities to meet their energy needs by integrating renewable energy sources. The study focused on the investigation of two primary solar energy systems in As Samra WWTP in Jordan. The first system combines parabolic trough collectors (PTCs) with thermal energy storage (TES). This system primarily serves to fulfill the thermal energy demands of the plant by reducing the demands from boiler units, which allows more biogas for electricity generation. The second system is a photovoltaic (PV) system with Lithium-Ion batteries, which directly produces electricity that will be used to cover part of the electrical energy demands of plant. To assess the optimal configuration, two distinct scenarios have been formulated. The first scenario focuses on maximizing the net present value (NPV) and minimizing the levelized cost of electricity (LCOE). The second scenario is centred on minimizing the levelized cost of heat (LCOH). The findings indicate that both scenarios succeeded in reducing the reliance on the grid to a value that reach 1 %. Moreover, they both biogas in energy production from 88 % to approximately 65 % through the integration of the PV system. In terms of thermal demand, SC#2 reduced the reliance on biogas boiler units from 100 % to 25 %, while SC#3 achieved an even more impressive reduction to just 8 %. The best LCOE value was attained in SC#2, at 0.0895 USD/kWh, with an NPV of 10.54 million USD. Conversely, SC# 3 yielded an LCOH value of 0.0432 USD/kWhth compared to 0.0534 USD/kWhth USD for SC#2. Despite their relatively high capital and operating costs, SC#2 and SC#3 managed to substantially decrease the annual electricity expenditure from approximately 2 million USD to 86,000 USD and 0 USD, respectively.

Economic viability and investment returns of innovative geothermal tri-generation systems: A comparative study

In a world grappling with escalating energy needs, environmental concerns, and economic constraints, the transition to renewable energy becomes critical. This study delves into geothermal energy, a promising renewable source, to develop four distinctive tri-generation systems (producing power, heat, and freshwater) optimized for economic efficiency and investment returns. The primary focus is on assessing these systems through an innovative lens of economic viability, including net present value (NPV) and payback periods, alongside their thermodynamic performance. Notably, System B emerges as the most economically advantageous, boasting the shortest payback period of 3.65 years and the highest NPV of $2.38 million, while System C trails with the lowest NPV of $0.32 million. Additionally, System D, identified as optimally complementary, undergoes comprehensive optimization using advanced algorithms and machine learning, achieving notable efficiencies and cost-effectiveness in power output, exergy, and freshwater production. This study not only underscores the potential of geothermal tri-generation systems in meeting energy, heat, and water needs but also highlights their significant economic benefits and investment attractiveness, offering a compelling case for their adoption in sustainable energy strategies.

Does carinata, an oilseed crop for sustainable aviation fuel, improve the eco-efficiency of crop rotations in South Georgia, United States?

In 2019, the aviation sector emitted about five percent of the total energy-related carbon dioxide equivalent (CO2e) emissions in the United States. The replacement of conventional aviation fuel with drop-in sustainable aviation fuel (SAF) derived from various biomass-based feedstocks is vital to reduce the overall CO2e emissions of the aviation sector. The SAF derived from Brassica carinata (carinata), an oilseed winter crop, could help the aviation sector mitigate CO2e emissions. Therefore, it is vital to develop a framework for assessing the eco-effectiveness of carinata in crop rotations by combining economic and environmental benefits. We identified 292 crop rotations (over a four-year rotation period with and without carinata) in South Georgia, the southern region of a major agricultural state located in the Southern United States. We conducted a comprehensive life cycle assessment to determine the total carbon emissions of selected crop rotations. We combined the carbon emissions and profitability information using data envelopment analysis (DEA) to estimate the eco-efficiency score of each crop rotation. The results indicate that crop rotations with carinata emit less CO2e than crop rotations without it, especially when carinata replaces winter wheat. Carinata's profitability (net present value of $2996/acre) is highest in a “corn-corn-soybean” rotation at a contract price of $441 per metric ton. Finally, “cotton-carinata-cotton-fallow-soybean-fallow-cotton-carinata” is the most eco-efficient rotation at the same contract price. Overall, carinata increases eco-efficiency at the farm level and, thereby, has the potential to promote the bioeconomy in South Georgia and beyond.