Alternative Configurations Research Articles

Raccoon density estimation from camera traps for raccoon rabies management

AbstractDensity estimation for unmarked animals is particularly challenging, yet density estimates are often necessary for effective wildlife management. Raccoons (Procyon lotor) are the primary terrestrial wildlife reservoir for Lyssavirus rabies within the United States. The raccoon rabies variant (RRVV) is actively managed at landscape scales using oral rabies vaccination (ORV) within the eastern United States. To effectively manage RRVV, it is important to know the density of raccoons to appropriately scale the density of ORV baits distributed on the landscape. We compared methods to estimate raccoon densities from camera‐trap data versus more intensive capture‐mark‐recapture (CMR) estimates across 2 land cover types (upland pine and bottomland hardwood) in the southeastern United States during 2019 and 2020. We evaluated the effect of alternative camera configurations and durations of camera trapping on density estimates and used an N‐mixture model to estimate raccoon densities, including covariates on abundance and detection. We further compared different methods of scaling camera‐based counts, with the maximum number of raccoons seen on any given image within a day best explaining density. Camera‐trap density estimates were moderately correlated with CMR estimates (r = 0.56). However, densities from camera‐trap data were more reliable when classifying category of density as an index used to inform management (83% correct when compared to CMR estimates), although the densities in our study fell into the 2 lowest density classes only. Using more cameras reduced bias and uncertainty around density estimates; however, if ≤6 camera traps were used at a site, a line transect approach proved less biased than a grid design. Camera trapping should be conducted for at least 3 weeks for more accurate estimates of raccoon population density in our study area (<5% bias). We show that camera‐trap data can be used to assign raccoon densities to management‐relevant density index bins, but more studies are needed to ensure reliability across a greater range of environmental conditions and raccoon densities.

Dual-comb Yb:CALGO laser with a polarization multiplexed cavity and pump

Single-cavity dual-comb lasers are considered appealing solutions for dual-comb spectroscopy. However, achieving a wide and flexible adjustment of repetition rate differences in the dual-combs with common bulk gain crystals remains challenging. Here, we report a dual-comb Yb:CALGO laser with a polarization multiplexed cavity and pump with two alternative configurations. The repetition rate difference of our dual-comb laser can be easily tuned from zero up to the MHz range. The standard deviation of the repetition rate difference is suppressed to be 0.4 Hz over 5 minutes, though the drift of the repetition rate of each comb is as large as closing to 80 Hz. We achieve simultaneous operations of two combs at approximately 1044 nm with pulse durations of 188 fs and 269 fs, and average powers of 1.6 W and 1.5 W, respectively. We demonstrate the capabilities of this system by utilizing the free-running setup to measure dual-comb spectra and perform asynchronous optical sampling on a saturable absorber. This work provides an alternative way to achieve a simple, compact, all-solid-state dual-comb femtosecond laser with flexible control over the repetition rate difference.

A New Paradigm in Torque Transfer: Rethinking Shaft Key Placement

In this study, an innovative approach to torque transmission mechanisms within the context of hub–shaft connections is introduced by exploring the viability of a transverse key configuration. Unlike traditional longitudinal key placements, the proposed method positions the key perpendicularly to the rotational axis, resembling a pin joint at the interface of the shaft and the hub. This research primarily aims to elucidate the maximum torque capacity of such a connection, juxtaposed against conventional methodologies. Employing a rigorous analytical framework, equations originally designed for pin connections are adapted to suit the unique geometric and loading conditions presented by the transverse key. This adaptation is essential in quantifying the resultant torque that the connection could sustain without failure. The study meticulously accounts for the variations in key dimensions and the inherent limitations posed by the method’s reliance on the end-face connection strategy. Comparative analyses underscore the manufacturing advantages of the proposed method, notably its reduced machinery requirements, by leveraging standard milling processes over more complex machining operations that are traditionally associated with keyway or keyseat creation. However, the findings also highlight the compromised torque transmission capability due to the reduced contact area, a significant consideration for designers. This research contributes to the broader discourse on mechanical connection innovations, offering a novel perspective on torque transmission solutions. It provides a foundation for future exploration into alternative key configurations, potentially revolutionizing hub–shaft connection designs in applications constrained by manufacturing capabilities or cost considerations.

Performance improvement of a three phase induction squired-cage motor by winding topology configuration

The aim of this paper is to determine the optimal stator winding topology configuration for a 75 kW three-phase squirrel cage motor that provides the highest efficiency, power factor, and optimal starting parameters. The induction motor is simulated using Cedrat FLUX2D finite element software, which enables accurate modeling of its performance. Initially, the motor operation is simulated using the originally manufactured winding topology. Then, several alternative winding topology configurations are tested through numerical simulations. The performance results for each configuration are compared with those obtained from the original winding topology to identify the best option. The simulation results show that the shortened pitch concentric winding, combining both single and double layers, is the winding topology that offers the highest performance for the motor under study, significantly enhancing the overall efficiency of the system. These findings highlight the potential of optimized winding configurations in improving motor performance and energy efficiency.

Exploring the experiences of stigma among South African gay men who practice consensual nonmonogamy

Consensual nonmonogamy (CNM) refers to an intimate relationship arrangement in which all the parties involved consent to having multiple romantic or sexual partners simultaneously, with the full knowledge and agreement of everyone involved. Although CNM is becoming increasingly more visible in mainstream media and social discourse, it remains a largely non-normative relationship configuration that can elicit stigma directed at those who practice it. The culture of mononormativity, whereby monogamous relationships are held as the ideal or default way for people to structure their intimate connections, may imply that even in the gay community, where a history of openness towards, and experimentation with, alternative relationship configurations exists, affirmative attitudes towards CNM cannot be guaranteed. This qualitative study explored the experiences of stigma among South African gay men who practice CNM, with a particular focus on stigma reported by CNM practitioners from within the gay community. Seven self-identified gay men who practice CNM were recruited to participate. Each participant took part in an unstructured individual interview which was then transcribed and subject to a thematic analysis. Analysis of the data revealed three main themes: creating CNM as homonormative; interpersonal (in)significance of CNM, and stigmatising narratives of CNM. Together, the findings highlight that while gay men who practice CNM may experience stigma from within the gay community, they adopt different approaches at managing this stigma, such as, by constructing CNM as a cultural norm for gay men and by interpreting their participation in CNM as a personally meaningful and fulfilling alternative to monogamy.

Polymeric Lithium Battery using Membrane Electrode Assembly

Alternative configuration lithium cell exploits electrode and polymer electrolyte cast all‐in‐one to form a membrane electrode assembly (MEA), in analogy to fuel cell technology. The electrolyte is based on polyethylene oxide (PEO), lithium bis‐trifluoro sulfonyl imide (LiTFSI) conducting salt, LiNO3 sacrificial film‐forming agent to stabilize the lithium metal, and fumed silica (SiO2) to increase the polymer amorphous degree. The membrane has conductivity ranging from ~5×10−4 S cm‐1 at 90 °C to 1×10−4 S cm‐1 at 50 °C, lithium transference number of ~0.4, and relevant interphase stability. The MEA including LiFePO4 (LFP) cathode is cycled in polymer lithium cells operating at 3.4 V and 70 °C, with specific capacity of ~155 mAh g‐1 (1C = 170 mA gLFP‐1) for over 100 cycles, without signs of decay or dendrite formation. The cell exploiting the MEA shows enhanced electrochemical performance as compared with the one using simple polymeric membrane stacked between cathode and anode. Furthermore, the MEA reveals the key advantage of possible scalability and applicability in roll‐to‐roll systems for achieving high‐energy lithium metal battery, as demonstrated by pouch‐cell application. These data may trigger new interest on this challenging battery exploiting the polymer configuration for achieving environmentally/economically sustainable, and safe energy storage.

Performance Investigations of Two Channel Readout Configurations on the Cross-Strip Cadmium Zinc Telluride Detector.

In a detector system where the number of channels exceeds the number of channels available on an application-specific integrated circuit (ASIC), there is a need to configure channels among multiple ASICs to achieve the lowest electronic noise and highest count rate. In this work, two board configurations were designed to experimentally assess which one provides the more favorable performance. In the half-half configuration, contiguous channels from one edge to the center of CZT detector are read by one ASIC, and the other half are read by the other ASIC. In the alternate configuration, the CZT channels are read by alternating ASICs. A lower electronic noise level, better FWHM energy resolution performance (5.35% ± 1.08% compared to 7.84% ± 0.98%), and higher count rate was found for the anode electrode strips with half-half configuration. Cross-talk between ASICs and deadtime play a role in the different performances, and the total count rate of the half-half configuration has a count rate 18.1% higher than that of the alternate configuration.

Corrigendum to “Alternative core configurations analysis to improve the neutronics performance of modular gas cooled fast reactor” [Ann. Nucl. Energy 211 (2025) 110951

Corrigendum to “Alternative core configurations analysis to improve the neutronics performance of modular gas cooled fast reactor” [Ann. Nucl. Energy 211 (2025) 110951

Pros and cons of airlift and bubble column bioreactors: How internals improve performance

Gas fermentation is a promising technology of high commercial interest, particularly for capturing CO2 and CO from industrial off-gases to reduce greenhouse gas emissions and replace fossil fuels for bulk chemical production. Therefore, evaluating promising bioreactor settings ab initio is a crucial step. Whereas alternate configurations may be tested in laborious scale up studies, the procedure may be accelerated by in silico studies that accompany or even partially replace wet-lab work once the models are validated. In this context, the current study compares various pneumatically agitated reactor types – bubble column reactor (BCR), annulus- and center-rising internal-loop airlift reactor (AR-IL-ALR and CR-IL-ALR), and external-loop airlift reactor (EL-ALR) – to identify advantages and disadvantages for the given application based on computational fluid dynamics (CFD) models. Process performance is optimized by introducing internal structures to guide the flow. Despite a significant increase in the mass transfer coefficient (kLa) through internal modifications, the CR-IL-ALR still exhibited the poorest performance. The optimized AR-IL-ALR demonstrated good mixing and, after introducing an open-cone shaped internal in the head part and a conical bottom, superior mass transfer, achieving an enhancement over 10 % in the mass transfer coefficient to 315 1/h. This study thereby outlines the potential of internal structures for process improvement, as well as the value of a priori in silico design of reactor configurations.

Strip cropping increases yield and revenue: multi-year analysis of an organic system in the Netherlands

Intercropping is proposed as a promising strategy to meet future food demand while reducing agriculture’s environmental impact by re-diversifying agricultural fields. Strip cropping, a form of intercropping, has a potential to simultaneously deliver multiple ecosystem services including productivity, while facilitating management as strip width can be adjusted to the working width of available machines. While the yield performance of strip cropping systems is influenced by the interaction between neighboring crops, to date, empirical studies on the performance of various crop combinations in strip cropping systems are limited. Here we used three-year data (2020–2022) from a 64-ha organic strip cropping system in the Netherlands to (1) evaluate the effects of crop neighbors and strip cropping on yield and (2) explore if optimizing the allocation of crop neighbors in alternative strip cropping configurations can improve yield and revenue performances. We analyzed the edge effect and strip cropping effect on yield of six crops grown in strips, each neighboring a total of five crops. The yield data was then used to evaluate the performance of the current and alternative strip configurations in terms of LER and relative revenue. Results showed that except for the positive effect observed on potato when neighboring celeriac or broccoli, edge effects lacked statistical significance. Strip cropping effect varied per crop: positive for faba bean and parsnip, neutral for celeriac and potato, and negative for oat and onion. Analysis across crops showed an overall significant positive strip cropping effect on yield. These findings highlighted the value of analysis at the cropping system level in developing designs aimed at unlocking the potential of strip cropping. The positive but variable strip cropping effects observed in the current experimental design and the two alternative configurations suggests prioritizing an overall increased crop diversity over optimizing their spatial arrangement. While we demonstrated increased productivity with strip cropping, further research is needed to expand the database on optimal crop combinations, extending the evaluation beyond yield and revenue performances to facilitate broader adoption of strip cropping in the Netherlands and Western Europe.

Experimental investigation of steady state power balance in double null and single null H mode plasmas in MAST Upgrade

Global power balance calculations in steady state H mode plasmas varying the distance between separatrices (drsep) and the divertor configuration have been performed in MAST Upgrade. As drsep becomes more negative, more of the power crossing the separatrix goes to the lower divertor. The inner divertor receives a higher fraction of the power exhaust in a Super-X divertor plasma compared to a conventional divertor plasma at similar negative drsep, which is a concern for high power devices employing alternative divertor configurations for power exhaust handling. Global power accounting suggests >30% of the input power is unaccounted for with the power loss channels quantified in this work. Charge exchange and orbit losses from the NBI could account for a large fraction of unaccounted power but it is not possible to precisely determine this without further diagnostic calibration.

More transparent and explainable machine learning algorithms are required to provide enhanced and sustainable dataset understanding

For detailed dataset interrogation and auditing purposes the lack of dataset explainability/transparency of the majority of available machine-learning (ML) models poses limitations. There is a tendency for ML models to focus on prediction speed and accuracy at the expense of transparently revealing dataset relationships. A case is made here to broaden that focus and for ML models to offer alternative configurations tailored to provide more explanations about how individual predictions are derived. Indeed, those striving to achieve sustainable objectives should not rely on opaque ML models and seek transparency as a fundamental objective of good modelling practice (GMP). Doing so tends to boost trust and confidence in the outputs of models relating to complex socio-environmental systems (SES), particularly those being used to potentially justify controversial social, political and ethical decisions. Currently, the transparent open box algorithms (TOB) are the only ML algorithms available that are configured specifically to routinely provide detailed data record relationships for each of their predictions. This study describes the data mining benefits of the Python-coded optimized data-matching TOB algorithms generally, and when applied to environmental datasets characterized by complex non-linear relationships involving many variables.

Sequence-Similar Protein Domain Pairs With Structural or Topological Dissimilarity.

For a variety of applications, protein structures are clustered by sequence similarity, and sequence-redundant structures are disregarded. Sequence-similar chains are likely to have similar structures, but significant structural variation, as measured with RMSD, has been documented for sequence-similar chains and found usually to have a functional explanation. Moving two neighboring stretches of backbone through each other may change the chain topology and alter possible folding paths. The size of this motion is compatible to a variation in a flexible loop. We search and find domains with alternate chain topology in CATH4.2 sequence families relatively independent of sequence identity and of structural similarity as measured by RMSD. Structural, topological, and functional representative sets should therefore keep sequence-similar domains not just with structural variation but also with topological variation. We present BCAlign that finds Alignment and superposition of protein Backbone Curves by optimizing a user chosen convex combination of structural derivation and derivation between the structure-based sequence alignment and an input sequence alignment. Steric and topological obstructions from deforming a curve into an aligned curve are then found by a previously developed algorithm. For highly sequence-similar domains, sequence-based structural alignment better represents the chains motion and generally reveals larger structural and topological variation than structure-based does. Fold-switching protein pairs have been reported to be most frequent between X-ray and NMR structures and estimated to be underrepresented in the PDB as the alternate configuration is harder to resolve. Here we similarly find chain topology most frequently altered between X-ray and NMR structures.

Performance evaluation of the static thrust and efficiency of an actuated biomimetic jellyfish model

Abstract This study offers an in-depth analysis of a jellyfish-inspired robotic model designed to simulate the expansion and contraction mechanisms found in natural jellyfish. By employing variable Duty Cycles to replicate the cyclic motions of the jellyfish, the thrust generation of the model is measured through static thrust assessments using a load cell, while its efficiency is evaluated using the Thrust-to-Power Ratio, TPR. The findings indicate that increasing the amplitude of the motion leads to more complex wave patterns, which in turn reduce the peak-to-peak force generated. Specifically, a 25% increase in the A/D ratio results in a significant 30% decrease in static thrust. It was observed that higher actuation frequencies do not notably influence thrust generation when the A/D ratio remains constant. Importantly, the TPR was found to be highest at an A/D ratio of 0.10, with an increase of up to 6% observed at higher Duty Cycles, suggesting that smaller actuation amplitudes are more efficient in enhancing thrust performance. These results highlight the critical role of amplitude in the efficiency of static thrust generation within a given Duty Cycle, emphasizing that lower amplitudes generally lead to higher efficiency. The study underscores the importance of optimizing both geometric and kinematic parameters for improved propulsion performance. It suggests that future research should focus on fine-tuning A/D ratios and Duty Cycles, as well as exploring alternative geometric configurations and materials to further enhance the hydrodynamic performance of jellyfish-inspired robots. The insights gained from this study provide a valuable foundation for developing more efficient and effective bio-inspired underwater vehicles.

Unraveling the alternative process configurations for more environmentally friendly Maleic Anhydride production

This study aims to propose and evaluate alternative configurations for producing maleic anhydride (MA) through the n-butane oxidation pathway to enhance overall environmental friendliness. Seven alternative configurations, which vary in the number of non-adiabatic reactors and heat exchange methods, as well as the stripping agents used for recovering MA in the purification section, are rigorously designed and comprehensively compared. Among the proposed configurations, we have found that the one utilizing single reactor with co-current cooling and water as the stripping agent (Scheme 2) shows the most promise. It has an optimal yield of 70.0 %, an energy efficiency of 97.52 %, and exergy efficiency of 44.92 %. A cradle-to-gate life cycle impact assessment determines a Global Warming Potential (GWP) of 0.091 kg-CO2eq/kg-MA from this scheme. In contrast, a techno-economic evaluation determines a minimum required selling price (MRSP) of 0.965 USD/kg-MA from this scheme. All these indicators are superior compared to those documented in the existing literature, suggesting a higher level of environmental friendliness. Subsequently, a suitable control strategy is proposed for the optimized Scheme 2 and evaluated by rejecting various kinds of feed disturbances (i.e., ± 10 % change in feed flowrate, ± 5 % change in molten salt flowrate, 1 % and 2 % of i-butane as feed impurity, and catalyst deactivation up to 40 %). Enhanced controllability is achieved by regulating the flowrate ratio between the flashed liquid and the n-butane (FL/NBU), which promptly indicates the reaction conversion during production. Based on the findings, we have concluded that overall environmental friendliness can be significantly enhanced with moderate modifications in the process configuration, which are easily feasible in the industry.

Amazon deforestation and CO2 emissions: A macroeconomic approach using the GVAR

AbstractWe analyzed the relationship between economic variables, Amazon deforestation, and CO2 emissions in Brazil. We used a macroeconomic approach of a system of open economies (global vector autoregressive [GVAR]). We constructed the international economy using 34 countries, representing 77% of the world GDP and 80% of world CO2 emissions. GVAR allows us to simulate the world economy, capture spillover effects, incorporate the externality of gas emissions, treating Brazil as a small open economy, and including trade integration in the analysis. We found that domestic and external shocks affect Amazon deforestation and CO2 emissions; the principal external shock is the Chinese one, followed by the European and the US shocks. China, directly and indirectly, affects CO2 emissions and deforestation in Brazil through two channels (exchange rates and policy rates). The estimates showed that Brazilian currency and commodity prices are relevant for deforestation, while industrial production is for gas emissions. Other results are that (i) the Brazilian economy affects CO2 emissions in Latin America (and the principal influence of China is on Asia), and (ii) the Chinese shock loses importance when using bilateral trade in 1999–2001, when China was not a fundamental trade partner of Brazil. Alternative model configurations demonstrate that soybean prices and Argentina influence Brazilian carbon emissions and Amazon deforestation. Specifically, soybean prices emerge as a major driver of carbon emissions. These results suggest that geography and trade integration matter to understanding Amazon deforestation and CO2 emissions. Our estimates highlight the importance of government policies and international cooperation in curbing Amazon deforestation.

Benign Saturation of Ideal Ballooning Instability in a High-Performance Stellarator.

To examine the robustness of the designed 5% β limit for high-performance operation in the W7-X stellarator, we undertake nonlinear magnetohydrodynamic (MHD) simulations of pressure-driven instabilities using the m3d-c1 code. Consistent with linear analyses, ideal ballooning instabilities occur as β exceeds 5% in the standard configuration. Nonetheless, the modes saturate nonlinearly at relatively low levels without triggering large-scale crashes, even though confinement degradation worsens as β increases. In contrast, in an alternative configuration with nearly zero magnetic shear, ideal interchange modes induce a pressure crash at β=1%. These results suggest that the standard W7-X configuration might have a soft β limit that is fairly immune to major MHD events, which enhances the appeal of the stellarator approach to steady-state fusion reactors.

Perceptions and configurations of balanced scorecard use: evidence from Portuguese SMEs

Purpose The purpose of this study is to identify managerial perceptions, as well as individual and organizational contingencies, that influence the use of balanced scorecard (BSC) among SMEs. Design/methodology/approach This paper adopts a mixed methods approach to study the use of the BSC from a survey database of 414 SMEs across several industries in Portugal. Findings This paper shows the perceived benefits, reasoning and obstacles that managers face when using the BSC in SMEs. The BSC is not the first choice for strategic management control of most firms in the sample. Most SMEs in this study have an explicitly formulated business strategy. The results show that it is possible to implement the BSC in SMEs without a formalized strategy. Such findings seem to suggest that the use of the BSC may stimulate the formulation of strategies for those firms. Research limitations/implications The use of fuzzy-set qualitative comparative analysis limits the generalization of the findings; nonetheless, the transparency of the report enables replication without restrictions. Practical implications This paper proposes that the size of the firm and the characteristics of the manager may compensate for the absence of a strategy to guide BSC use. Social implications This paper advises a match between the stage of development of the SMEs strategy and the gender of the manager, which may have implications for recruitment purposes. Originality/value This study reports alternative configurations of individual and organizational conditions that lead to the use of the BSC in SMEs as well as configurations that prevent its use.

Cutthroat trout responses to increased light via conventional and alternative riparian buffers

Forested headwaters, particularly in the Pacific Northwest, USA, are typically heavily shaded by dense stands of riparian vegetation. Reduced riparian cover can occur from natural or anthropogenic events, resulting in increased light which can increase fish biomass by promoting in-stream food resources. We conducted a 5 y before-after-control-impact (BACI) study on 10 small streams in the Oregon Coast Range, USA, and investigated how changes to the magnitude of stream light, mediated by conventional and alternative riparian buffer configurations adjacent to upland timber harvest, changed Coastal Cutthroat Trout (Oncorhynchus clarkii clarkii) abundance, biomass, bioenergetics, diet composition, and the availability of aquatic food resources. Riparian buffer treatments reduced canopy cover as much as 34 % cover (98–99 % pre; 64–98 % post-treatment) and enhanced total available sunlight reaching the stream surface by 8–31 % relative to unharvested references that only changed by 3–4 %. In the first year following the treatments, young-of-year trout (YOY, age 0) densities changed by between +0.1 and +0.78 #/m2 in treatment streams while densities changed by –0.001 and +0.02 #/m2 at reference streams. Although change in YOY densities was positively correlated with change in stream light (rs=0.81, p=0.02), changes in basal resources (periphyton and macroinvertebrates) were both positive and negative and did not increase with change in stream light. Adult (age 1+) trout responses were mixed in the first year post-treatment, but changed by –0.14 to +0.24 #/m2 at treatment sites (–0.02 to –0.05 at reference sites) in the second year post-treatment, likely due to increased recruitment from the strong cohort of YOY in the first year. Bioenergetics analysis in one post-treatment year showed that adult trout did not experience greater summer growth (–0.003 to +0.0005 g g−1 d−1) or proportions of maximum consumption (0.18–0.25) in streams with more light than at reference streams (–0.001 and +0.001 g g−1 d−1, 0.19 and 0.23). Overall, while standing stock assessments suggest that fish showed some increases after experimental treatments that increased light, our data did not provide the clear mechanistic evidence for bottom-up drivers that was expected. The relationship between canopy removal and fish production is not always predictable in small headwater streams, and even though fish populations were generally resilient to riparian manipulation, evaluations of terrestrial food resources, the dynamic between canopy cover and light reaching the stream, and changes to temperature may lend valuable insight on the impacts to fish populations.

Bio-methanol with negative CO2 emissions from residual forestry biomass gasification: Modelling and techno-economic assessment of different process configurations

The paper presents a techno-economic comparison among five alternative process configurations for bio-methanol production from the gasification of residual forestry biomass. Process design and simulations are performed in Aspen Plus for mass and energy balance calculation, followed by preliminary sizing and economic analysis. Process schemes include a gasification island (state-of-the-art low-pressure gasification compared against a high-pressure gasifier) with syngas conditioning and compression, heat recovery, syngas composition adjustment (by CO2 capture or addition of hydrogen produced by electrolysis), methanol synthesis and purification and a heat recovery cycle for power generation. CO2 capture is performed with conventional chemical absorption in the benchmark cases, while low-temperature partial condensation of CO2 is modeled in the advanced scenario. Methanol output is 14–15 kt/y in the CO2 capture cases and 36 kt/y in the H2 addition option.Configurations with a pressurized gasifier and phase-change-based CO2 separation are the most efficient ones, with a primary energy efficiency of 50 % and a Levelized Cost of Methanol (LCOM) of 700 €/tMeOH. In comparison, LCOM increases to 730 €/tMeOH in the case with conventional capture or between 792 €/tMeOH and 831 €/tMeOH (depending on the CCS technology) if the gasification pressure is conservatively reduced to 2.5 bar. In the H2 addition scenario, LCOM increases to 821 €/tMeOH due to the significant impact of the electricity consumption for H2 production, (only partly compensated by the increased methanol production). Scenarios with CO2 capture feature negative CO2 emissions, in the range −1.64 to −1.84 tCO2eq/tMeOH, as a result of the capture and storage of biogenic CO2 (BECCS approach).