Grant and Research Library

Welcome to the Grant and Research Library. This database provides reports and award information about current and past grant recipients. You can also find Iowa Energy Center case studies, publications and presentations. All information can be searched by focus, year and program area or through keywords entered into the search field. Please note: the default listing of library items on this page is by date uploaded and not by project date. Use the drop down menu on the left to list projects by the desired year.

title

program area

focus

dates

location

Long-term Assessment of Miscanthus Productivity and Sustainability (LAMPS)

Grant Renewable Energy Jan. 2015 — Mar. 2016 Ames, Iowa
Summary:

Since 2012, we have been working with the University of Iowa (UI) as they seek to establish 2,500 acres of Miscanthus . giganteus by 2016 for heat and power. US biomass work on M. . giganteus is less than a decade old, but with yields 2-4 times greater than traditional switchgrass, and ecosystem services typical [...]

Program Area:

Grant

Focus:

Renewable Energy

  • Biomass

Summary

Since 2012, we have been working with the University of Iowa (UI) as they seek to establish 2,500 acres of Miscanthus . giganteus by 2016 for heat and power. US biomass work on M. . giganteus is less than a decade old, but with yields 2-4 times greater than traditional switchgrass, and ecosystem services typical of perennial grasses, it has quickly become a leading crop for temperate, rain-fed environments. Though its high yields favor M. . giganteus over other perennial grasses in techno-economic analyses, agronomic production uncertainties make potential growers reluctant to adopt this promising perennial grass. Because uncertainty around M. . giganteus best crop management practices restricts farmer recruitment, and ultimately, Iowa bioenergy supply, there is a critical need to elucidate the agronomics of M. . giganteus production at a meaningful scale.

We seek funding from the Iowa Energy Center (IEC) to 1) develop a collaborative research framework and 2) begin establishment of a long-term M. . giganteus experiment (Long-term Assessment of Miscanthus Productivity and Sustainability (LAMPS)). With the establishment of this unique infrastructure, we will be competitive for NIFA-AFRI funding, as well as funding opportunities from other federal, local and private sources.

Award Amount:

$99,954

Grant Active Dates:

Jan. 2015 — Mar. 2016

Organization:

Department of Agronomy, Iowa State University

Principal Investigator:

Emily Heaton

Co-Principal Investigator:

Nicholas Boersma

Status:

Active

Location:

Ames, Iowa

[permalink]
Summary:

The proposed effort will develop scalable, data-driven multi-agent systems techniques for integrated building systems. The study aims to demonstrate initial proof of concept on an AHU-VAV system using data from partially simulated and partially real building systems. While validation on real building systems is crucial to avoid making unrealistic assumptions, it needs to be augmented [...]

Program Area:

Grant

Focus:

Energy Efficiency

  • Industrial

Summary

The proposed effort will develop scalable, data-driven multi-agent systems techniques for integrated building systems. The study aims to demonstrate initial proof of concept on an AHU-VAV system using data from partially simulated and partially real building systems. While validation on real building systems is crucial to avoid making unrealistic assumptions, it needs to be augmented with simulated systems to evaluate scalability. In this context, for this phase of the project we plan to utilize the existing data collected from the Iowa Energy Center’s Energy Resource Station (ERS) to build the model that is more realistic and use this model to demonstrate the proposed robust optimal control strategies in simulation. If proven successful in simulation, the next phase of the project will involve testing the control strategies using either ERS facility or a suitable building on Iowa State campus.

Award Amount:

$78,071

Grant Active Dates:

Jan. 2015 — Dec. 2015

Organization:

Department of Mechanical Engineering, Iowa State University

Principal Investigator:

Atul Kelkar

Co-Principal Investigator:

Soumik Sarkar

Status:

Active

Location:

Ames, Iowa

[permalink]

Chemical Fuels from CO2: Electrochemical Reduction in Task-Specific Solvents

Grant Renewable Energy Jan. 2015 — Jun. 2016 Iowa City, Iowa
Summary:

This application seeks an Iowa Energy Center Opportunity Grant to fund acquisition and publication of data demonstrating the utility of a carbon-dioxide-to-fuel conversion process. This work will support a major funding application to the Department of Energy (DOE) Early Career Research Program in Basic Energy Sciences. The P.I. was encouraged to submit a full proposal [...]

Program Area:

Grant

Focus:

Renewable Energy

  • Other

Summary

This application seeks an Iowa Energy Center Opportunity Grant to fund acquisition and publication of data demonstrating the utility of a carbon-dioxide-to-fuel conversion process. This work will support a major funding application to the Department of Energy (DOE) Early Career Research Program in Basic Energy Sciences. The P.I. was encouraged to submit a full proposal to the DOE by the cognizant program officer in 2013, and has been encouraged to re-apply in 2015. Reviews of this proposal and discussion with the program officer were positive, and described a desire for additional preliminary data to support the re-application (see reviewer comment excerpts on pg. 5).

An Iowa Energy Center award will fund project personnel to allow acquisition of preliminary data. This will allow our group to address the concerns of reviewers and analyze the major chemical facets of the system, showing feasibility and practicality. The major outcomes will include a manuscript, presentation, and full application to the DOE program in 2015-16. These match the Iowa  Energy Center’s mission in the Opportunity Grant RFP.

Award Amount:

$82,600

Grant Active Dates:

Jan. 2015 — Jun. 2016

Organization:

Department of Chemistry, University of Iowa

Principal Investigator:

Scott K. Shaw

Status:

Active

Location:

Iowa City, Iowa

[permalink]

Data Security in Smart Grid: A Computational Approach

Grant Energy Efficiency Oct. 2014 — Oct. 2015 Iowa City, Iowa
Summary:

Smart grid modernizes existing electrical grids by integrating advanced sensing, communications and control systems into system operations. However, adopting cyber systems in smart grid introduces new data security  issues. Damaging events and cyberattacks may cripple system operations by injecting bad data or even deliberate false data into smart grid. Secure state estimation under cyberattacks and [...]

Program Area:

Grant

Focus:

Energy Efficiency

  • Other

Summary

Smart grid modernizes existing electrical grids by integrating advanced sensing, communications and control systems into system operations. However, adopting cyber systems in smart grid introduces new data security  issues. Damaging events and cyberattacks may cripple system operations by injecting bad data or even deliberate false data into smart grid. Secure state estimation under cyberattacks and damaging events is of great interest to smart grid operators. On the one hand, system operators will need scalable and powerful state estimators which are robust to measurement errors. On the other hand, it is imperative to understand the performance limits of secure state estimation in smart grid. In this project, we will investigate the fundamental limits on data security in smart grid, and aim to provide computational tools for secure state estimation, and computing the performance limits of secure state estimation.

Award Amount:

$38,337

Grant Active Dates:

Oct. 2014 — Oct. 2015

Organization:

Department of Electrical and Computer Engineering

Principal Investigator:

Weiyu Xu

Co-Principal Investigator:

Husheng Li

Status:

Active

Location:

Iowa City, Iowa

[permalink]

Improved Electricity Generation Unit Commitment and Dispatch Using Stochastic Optimization

Grant Energy Efficiency Jan. 2015 — Jul. 2015 Ames, Iowa
Summary:

This proposal requests funds to improve day-ahead commitment of thermal electricity generating units with high penetration of variable generation. We propose to develop metrics for evaluating probabilistic scenarios of load and variable generation, to efficiently assess the quality of stochastic unit commitment solutions, and to compare stochastic with robust optimization methods for unit commitment. The [...]

Program Area:

Grant

Focus:

Energy Efficiency

  • Other

Summary

This proposal requests funds to improve day-ahead commitment of thermal electricity generating units with high penetration of variable generation. We propose to develop metrics for evaluating probabilistic scenarios of load and variable generation, to efficiently assess the quality of stochastic unit commitment solutions, and to compare stochastic with robust optimization methods for unit commitment. The results will strengthen a planned proposal to the U.S. Department of Energy on similar advances in intra-day lookahead commitment and dispatch processes. An external proposal is planned for summer of 2015.

Award Amount:

$50,000

Grant Active Dates:

Jan. 2015 — Jul. 2015

Organization:

Industrial & manufacturing Systems Engineering, Iowa State University

Principal Investigator:

Sarah M. Ryan

Status:

Active

Location:

Ames, Iowa

[permalink]
Summary:

We seek pursuit funding to perform preliminary work towards writing a NSF CyberSEES proposal. The overarching vision of our proposal to be submitted to NSF CyberSEES program is to enhance the utilization of naturally occurring energy flows within buildings to achieve thermal comfort and air quality, while minimizing fossil fuel consumption. The goal of our [...]

Program Area:

Grant

Focus:

Energy Efficiency

  • Other

Summary

We seek pursuit funding to perform preliminary work towards writing a NSF CyberSEES proposal. The overarching vision of our proposal to be submitted to NSF CyberSEES program is to enhance the utilization of naturally occurring energy flows within buildings to achieve thermal comfort and air quality, while minimizing fossil fuel consumption. The goal of our research is to push whole building performance prediction, evaluation and simulation to higher levels, while improving human comfort.

The goal of our research is to push whole building performance prediction, evaluation and simulation to higher levels, while improving human comfort. We are a unique interdisciplinary team coupling engineering expertise in computational fluid dynamics (CFD), advanced control system design with architectural design and human factors to build simulation expertise and associated tools for designing free ventilation heating and cooling strategies in green buildings. As part of the CyberSEES call (which demand a tight integration of engineering and sustainability issues with computational methods and associated advances), a key objective is predicting thermal and flow patterns in multi-roomed ‘green’ buildings. This will be done by leveraging our high-performance computing capabilities which includes a LES based simulation framework. This is the key aspect for which we request Iowa Energy Center Funding. The CyberSEEs specifically calls for these objectives to be articulated in the context of computational advance (“Computational approaches play a central role in understanding and advancing sustainability. CyberSEES supports research on all sustainability topics that depend on advances in computational aras including optimization, modeling, simulation, prediction, and inference”). A key computational science and and applied mathematics advance that we will focus on in the Iowa Energy Center proposal is leveraging high performance computing advances with novel Large Eddy Simulation models to predict the thermal fields in complex multi-room buildings under natural and forced ventilation.

Award Amount:

$79,591

Grant Active Dates:

Jun. 2014 — Jun. 2015

Organization:

Mechanical Engineering, Iowa State University

Principal Investigator:

Basker Ganapathysubramanian

Status:

Active

Location:

Ames, Iowa

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