scholarly journals A General Techno-Economic Model for Evaluating Emerging Electrolytic Processes

2019 ◽  
Author(s):  
Michael Orella ◽  
Steven M. Brown ◽  
McLain Leonard ◽  
Yuriy Román-Leshkov ◽  
Fikile Brushett
Keyword(s):  
Low Cost ◽  
Department Of Energy ◽  
Technology Readiness ◽  
Analysis Model ◽  
Science And Engineering ◽  
Economic Framework ◽  
Electrochemical Processes ◽  
Hydrogen Analysis ◽  
Technical Specifications ◽  
The Impact

<p>Increasing societal concern about carbon emissions and the concomitant emergence of inexpensive renewable resources provide growing impetus for the electrification of the chemical industry. While there have been notable recent advances in the science and engineering of electrolytic processes, there are comparatively few engineering economic studies that outline the technical specifications needed to approach feasibility. Here we introduce an open-source techno-economic framework to connect system performance and price goals to the constituent materials property sets with a goal of quantifying the economic potential of existing and conceptual electrolytic processes. To validate the outputs and demonstrate the versatility of this toolkit, we explore three contemporary electrolyses of varying technology readiness levels. Specifically, we first benchmark our model results against the Department of Energy hydrogen analysis model, then evaluate the impact of mass transport and catalyst performance on the electrochemical reduction of carbon dioxide, and chart a pathway to low-cost electrolytic production of phenol from guaiacol. As this model is based on generalized mass balances and electrochemical equations common to a number of electrochemical processes, it serves as an adaptable toolkit for researchers to evaluate new chemistries and reactor configurations as well as to back-translate system targets to interdependent materials-level property requirements.<br></p>

scholarly journals A General Techno-Economic Model for Evaluating Emerging Electrolytic Processes

2019 ◽  
Author(s):  
Michael Orella ◽  
Steven M. Brown ◽  
McLain Leonard ◽  
Yuriy Román-Leshkov ◽  
Fikile Brushett
Keyword(s):  
Low Cost ◽  
Department Of Energy ◽  
Technology Readiness ◽  
Analysis Model ◽  
Science And Engineering ◽  
Economic Framework ◽  
Electrochemical Processes ◽  
Hydrogen Analysis ◽  
Technical Specifications ◽  
The Impact

<p>Increasing societal concern about carbon emissions and the concomitant emergence of inexpensive renewable resources provide growing impetus for the electrification of the chemical industry. While there have been notable recent advances in the science and engineering of electrolytic processes, there are comparatively few engineering economic studies that outline the technical specifications needed to approach feasibility. Here we introduce an open-source techno-economic framework to connect system performance and price goals to the constituent materials property sets with a goal of quantifying the economic potential of existing and conceptual electrolytic processes. To validate the outputs and demonstrate the versatility of this toolkit, we explore three contemporary electrolyses of varying technology readiness levels. Specifically, we first benchmark our model results against the Department of Energy hydrogen analysis model, then evaluate the impact of mass transport and catalyst performance on the electrochemical reduction of carbon dioxide, and chart a pathway to low-cost electrolytic production of phenol from guaiacol. As this model is based on generalized mass balances and electrochemical equations common to a number of electrochemical processes, it serves as an adaptable toolkit for researchers to evaluate new chemistries and reactor configurations as well as to back-translate system targets to interdependent materials-level property requirements.<br></p>

scholarly journals A General Techno-Economic Model for Evaluating Emerging Electrolytic Processes

2019 ◽  
Author(s):  
Michael Orella ◽  
Steven M. Brown ◽  
McLain Leonard ◽  
Yuriy Román-Leshkov ◽  
Fikile Brushett
Keyword(s):  
Low Cost ◽  
Department Of Energy ◽  
Technology Readiness ◽  
Analysis Model ◽  
Science And Engineering ◽  
Economic Framework ◽  
Electrochemical Processes ◽  
Hydrogen Analysis ◽  
Technical Specifications ◽  
The Impact

<p>Increasing societal concern about carbon emissions and the concomitant emergence of inexpensive renewable resources provide growing impetus for the electrification of the chemical industry. While there have been notable recent advances in the science and engineering of electrolytic processes, there are comparatively few engineering economic studies that outline the technical specifications needed to approach feasibility. Here we introduce an open-source techno-economic framework to connect system performance and price goals to the constituent materials property sets with a goal of quantifying the economic potential of existing and conceptual electrolytic processes. To validate the outputs and demonstrate the versatility of this toolkit, we explore three contemporary electrolyses of varying technology readiness levels. Specifically, we first benchmark our model results against the Department of Energy hydrogen analysis model, then evaluate the impact of mass transport and catalyst performance on the electrochemical reduction of carbon dioxide, and chart a pathway to low-cost electrolytic production of phenol from guaiacol. As this model is based on generalized mass balances and electrochemical equations common to a number of electrochemical processes, it serves as an adaptable toolkit for researchers to evaluate new chemistries and reactor configurations as well as to back-translate system targets to interdependent materials-level property requirements.<br></p>

scholarly journals Conditioning and Detailed Analysis of Biomass Derived Fuel Gas Ongoing and Planned Work by Battelle

1999 ◽  
Author(s):  
Don Anson ◽  
Mark A. Paisley ◽  
M. A. Ratcliff
Keyword(s):  
Gas Turbine ◽  
Gas Turbines ◽  
Low Cost ◽  
Paper Industry ◽  
Scale Up ◽  
Laboratory Scale ◽  
Department Of Energy ◽  
Second Phase ◽  
Fuel Gas ◽  
The Impact

Gas turbine based power and cogeneration schemes are likely to become more favored as turbine efficiencies improve, but the economics of local power generation may depend on the use of low cost fuels other than natural gas. Opportunities may arise in the application of gas turbines in the pulp and paper industry and the wider use of biomass derived fuels in general. These fuels, as produced, typically contain inorganic impurities originating from ash forming substances and other minor constituents of the feedstock. Also, depending on the biomass treatment process, they contain varying amounts of complex organic derivatives, commonly referred to as tars, and some simpler condensable vapors. The Department of Energy is sponsoring work aimed at providing realistic data on low level constituents and impurities in gas derived by indirect gasification of wood, some of which may have disproportionately severe effects on turbine operation, durability, and emissions performance. It is planned to sample gas from both laboratory scale (up to 20 tons/day) and pilot scale (200 tons/day) installations and to assess the effectiveness of wet scrubbing procedures and catalytic reforming of condensables in cleaning up the gases. This paper discusses the rationale for this work, experimental approach, and analytic procedures that will be used. The work will include the operation of a small (220-kWe) gas turbine to provide direct information on the impact of using the final biomass derived gas delivered by the system. The laboratory scale work is currently under way, with a planned completion date in mid 2000. The second phase is dependent on arrangements for integration of the R&D effort with the operation of the pilot plant.

Computer simulation study about the dependence of amorphous silicon photonic waveguides efficiency on the material quality

2020 ◽  
Vol 90 (3) ◽  
pp. 30502
Author(s):  
Alessandro Fantoni ◽  
João Costa ◽  
Paulo Lourenço ◽  
Manuela Vieira
Keyword(s):  
Amorphous Silicon ◽  
High Throughput Screening ◽  
Simulation Analysis ◽  
Low Cost ◽  
Deposition Process ◽  
Large Area ◽  
Sidewall Roughness ◽  
Sensing Applications ◽  
Fabrication Defects ◽  
The Impact

Amorphous silicon PECVD photonic integrated devices are promising candidates for low cost sensing applications. This manuscript reports a simulation analysis about the impact on the overall efficiency caused by the lithography imperfections in the deposition process. The tolerance to the fabrication defects of a photonic sensor based on surface plasmonic resonance is analysed. The simulations are performed with FDTD and BPM algorithms. The device is a plasmonic interferometer composed by an a-Si:H waveguide covered by a thin gold layer. The sensing analysis is performed by equally splitting the input light into two arms, allowing the sensor to be calibrated by its reference arm. Two different 1 × 2 power splitter configurations are presented: a directional coupler and a multimode interference splitter. The waveguide sidewall roughness is considered as the major negative effect caused by deposition imperfections. The simulation results show that plasmonic effects can be excited in the interferometric waveguide structure, allowing a sensing device with enough sensitivity to support the functioning of a bio sensor for high throughput screening. In addition, the good tolerance to the waveguide wall roughness, points out the PECVD deposition technique as reliable method for the overall sensor system to be produced in a low-cost system. The large area deposition of photonics structures, allowed by the PECVD method, can be explored to design a multiplexed system for analysis of multiple biomarkers to further increase the tolerance to fabrication defects.

Advancing dairy farming profitability through research

2001 ◽  
pp. 17-22
Author(s):  
J.R. Caradus ◽  
D.A. Clark
Keyword(s):  
Research And Development ◽  
Dairy Cow ◽  
Low Cost ◽  
Pasture Management ◽  
Nitrogen Fertiliser ◽  
Grass Endophyte ◽  
Forage Species ◽  
Development Outcomes ◽  
Dairy Cow Nutrition ◽  
The Impact

The New Zealand dairy industry recognises that to remain competitive it must continue to invest in research and development. Outcomes from research have ensured year-round provision of low-cost feed from pasture while improving productivity. Some of these advances, discussed in this paper, include the use of white clover in pasture, understanding the impacts of grass endophyte, improved dairy cow nutrition, the use of alternative forage species and nitrogen fertiliser to improve productivity, demonstration of the impact of days-in-milk on profitability, and the use of feed budgeting and appropriate pasture management. Keywords: dairy, profitability, research and development

Resource Allocation in Cloud using Multi Bidding Model with User Centric Behavior Analysis

2020 ◽  
Vol 13 (5) ◽  
pp. 1008-1019
Author(s):  
N. Vijayaraj ◽  
T. Senthil Murugan
Keyword(s):  
Resource Allocation ◽  
Behavior Analysis ◽  
User Behavior ◽  
Low Cost ◽  
Cloud Services ◽  
Online Auction ◽  
Analysis Model ◽  
Efficient Resource ◽  
User Centric ◽  
Cloud Resources

Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resources is not flexible and dynamic for the users in the recent days. This gave me the key idea and generated as a problem statement for my proposed work. Methods: An online auction framework that ensures multi bidding mechanism which utilizes user centric behavioral analysis to produce the efficient and reliable usage of cloud resources according to the user choice. Results: we implement Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to provide better allocation of cloud resources which ensures bidding and user behavior. Conclusion: Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis is implemented & system is designed in such a way to provide better allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained accordingly such that to produce efficient resource utilization. Further the work can be taken towards data analytics and prediction of user behavior while allocating the cloud resources.

Motivating Compliance: Firm Response to Mandatory Disclosure Policies

2018 ◽  
Vol 32 (2) ◽  
pp. 103-119
Author(s):  
Colleen M. Boland ◽  
Chris E. Hogan ◽  
Marilyn F. Johnson
Keyword(s):  
Conflict Of Interest ◽  
Low Cost ◽  
Cost Effective ◽  
Data Availability ◽  
Policy Adoption ◽  
Future Research ◽  
Regulated Firms ◽  
Firm Response ◽  
Disclosure Rules ◽  
The Impact

SYNOPSIS Mandatory existence disclosure rules require an organization to disclose a policy's existence, but not its content. We examine policy adoption frequencies in the year immediately after the IRS required mandatory existence disclosure by nonprofits of various governance policies. We also examine adoption frequencies in the year of the subsequent change from mandatory existence disclosure to a disclose-and-explain regime that required supplemental disclosures about the content and implementation of conflict of interest policies. Our results suggest that in areas where there is unclear regulatory authority, mandatory existence disclosure is an effective and low cost regulatory device for encouraging the adoption of policies desired by regulators, provided those policies are cost-effective for regulated firms to implement. In addition, we find that disclose-and-explain regulatory regimes provide stronger incentives for policy adoption than do mandatory existence disclosure regimes and also discourage “check the box” behavior. Future research should examine the impact of mandatory existence disclosure rules in the year that the regulation is implemented. Data Availability: Data are available from sources cited in the text.

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