Energy Independence And Security Act Research Articles

Is the U.S. energy independence and Security Act of 2022 associated with stock market volatility?

This study investigates the influence of the U.S. Energy Independence and Security Act (EISA) of 2022 on stock market volatility. Considering potential policy impacts on market dynamics, it employs a mean-reverting jump-diffusion model for volatility analysis, supported by rigorous hypothesis testing to validate empirical findings. For investor sentiment analysis, a pre-trained model (BERT-base-multilingual-uncased) is used to assess sentiment, with logistic regression and Bidirectional LSTM utilized for sentiment prediction. Contrary to conventional findings, logistic regression outperforms Bidirectional LSTM for the small dataset. Overall, the study estimates show no statistically noteworthy difference in volatility before and after implementing the EISA of 2022. This study provides valuable insights for navigating financial decisions within the intricate landscape of energy markets.

Which crop has the highest bioethanol yield in the United States?

Annual U.S. production of bioethanol, primarily produced from corn starch in the U.S. Midwest, rose to 57 billion liters in 2021, which fulfilled the required conventional biofuel target set forth by the Energy Independence and Security Act (EISA) of 2007. At the same time, the U.S. fell short of the cellulosic or advanced biofuel target of 79 billion liters. The growth of bioenergy grasses (e.g., Miscanthus and switchgrass) across the Central and Eastern U.S. has the potential to feed enhanced cellulosic bioethanol production and, if successful, increase renewable fuel volumes. However, water consumption and climate change and its extremes are critical concerns in corn and bioenergy grass productivity. These concerns are compounded by the demands on potentially productive land areas and water devoted to producing biofuels. This is a fundamental Food-Energy-Water System (FEWS) nexus challenge. We apply a computational framework to estimate potential bioenergy yield and conversion to bioethanol yield across the U.S., based on crop field studies and conversion technology analysis for three crops—corn, Miscanthus, and two cultivars of switchgrass (Cave-in-Rock and Alamo). The current study identifies regions where each crop has its highest yield across the Center and Eastern U.S. While growing bioenergy grasses requires more water than corn, one advantage they have as a source of bioethanol is that they control nitrogen leaching relative to corn. Bioenergy grasses also maintain steadily high productivity under extreme climate conditions, such as drought and heatwaves in the year 2012 over the U.S. Midwest, because the perennial growing season and the deeper and denser roots can ameliorate the soil water stress. While the potential ethanol yield could be enhanced using energy grasses, their practical success in becoming a potential source of ethanol yield remains limited by socio-economic and operational constraints and concerns regarding competition with food production.

Modeling the Effects of Crop Rotation and Tillage on Sugarbeet Yield and Soil Nitrate Using RZWQM2

HighlightsFour crop growth modules in RZWQM2 were calibrated for four sugarbeet rotation sequences.Sugarbeet following wheat had a slightly higher yield (3% to 6.5%).Moldboard plow increased sugarbeet yield by 1% to 2%.The difference in N losses under different crop rotations and tillage operations was negligible.Abstract. Sugarbeet (Beta vulgaris) is considered to be one of the most viable alternatives to corn for biofuel production as it may be qualified as the feedstock for advanced biofuels (reducing greenhouse gas emission by 50%) under the Energy Independence and Security Act (EISA) of 2007. Because sugarbeet production is affected by crop rotation and tillage through optimal use of soil water and nutrients, simulation of these effects will help in making proper management decisions. In this study, the CSM-CERES-Beet, CSM-CERES-Maize, CROPSIM-Wheat, and CROPGRO-Soybean models included in the RZWQM2 were calibrated against experimental field data of crop yield, soil water, and soil nitrate from the North Dakota State University Carrington Research Extension Center from 2014 to 2016. The models performed reasonably well in simulating crop yield, soil water, and nitrate (rRMSE = 0.055 to 2.773, d = 0.541 to 0.997). Simulation results identified a non-significant effect of crop rotation on sugarbeet yield, although sugarbeets following wheat resulted in 3% to 6.5% higher yields compared to other crops. Net mineralization and N uptake rates were slightly higher when sugarbeets followed wheat compared to the other crops. Seasonal N and water mass balances also showed lower N and water stresses when sugarbeets followed wheat. The effects of tillage operations on sugarbeet yield were also non-significant. The difference in the N losses to runoff and drainage from the sugarbeet fields under different crop rotations and tillage operations was negligible. As sugarbeet production may be expanded into nontraditional planting areas in the Red River Valley due to potential demand for biofuel production, our findings will help to assess the associated environmental impacts and identify suitable crop rotations and management scenarios in the region. Keywords: Biofuel, Crop rotation, RZWQM2, Sugarbeet, Tillage.

Consumer stockpiling in response to the U.S. EISA “light bulb ban”

This study investigates consumer behavior in anticipation of the United States Energy Independence and Security Act (EISA) energy mandate that effectively banned production and import (not the sale) of incandescent light bulbs. We use the gradual implementation of U.S. EISA energy standards, where only 100-watt incandescent bulbs were initially banned, to estimate a series of difference-in-difference models that examine consumer behavior. Our results show that stockpiling in response to the EISA mandate resulted in a 96.9% increase in 100-watt incandescent bulbs sold per store per week. A back-of-the-envelope calculation shows stockpiling reduced private energy savings between $7 million and $21 million in Ohio and between $199 million and $589 million in the United States. Stockpiling also reduced social carbon cost savings between $56 million and $166 million across the United States.

EISA (Energy Independence and Security Act) compliant ethanol fuel from corn stover in a depot‐based decentralized system

AbstractCellulosic biofuels face significant problems of feedstock aggregation and logistics leading to poor economies of scale. The current model is for relatively small biorefineries using feedstock gathered locally. Here a depot‐based decentralized biorefinery system is explored to estimate the US Energy Independence and Security Act (EISA) compliant corn stover ethanol production potential in the US Midwest. Depots serve to aggregate, pretreat, and densify biomass (via pellets) and thereby enable very large biorefineries using a decentralized system to collect these pellets. Such a corn‐stover based decentralized system using depots would establish one or two very large‐scale decentralized biorefineries capable of processing about 8–12% of the total corn stover available in the US Midwest. These decentralized biorefineries are economically competitive with the centralized biorefineries. About 55–153 depots could supply the pretreated pellets to the individual decentralized biorefineries leading to an annual production of 1.02–2.91 billion liters of cellulosic ethanol fuel. Most of the participating depots are located in Illinois and Iowa. The total EISA‐compliant ethanol fuel produced in the decentralized system is 2.82–4.07 billion liters per year. The ethanol selling price in the depot‐based decentralized biorefinery system varies between US$0.67 and US$0.72 L−1. The greenhouse gas (GHG) savings from cellulosic ethanol in the decentralized system compared to gasoline are 3.35–4.84 Tg CO2 year−1. Importantly, the total capital investment per annual volume of ethanol in the decentralized biorefinery ranges from US$0.71 L1 to US$1.15 L1, while the total capital investment per annual ethanol volume in the centralized biorefinery is US$1.98 L−1. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd

Policy Uncertainty and the US Ethanol Industry

The Renewable Fuel Standard (RFS2), as implemented, has introduced uncertainty into US ethanol producers and the supporting commodity market. First, the fixed mandate for what is mainly cornstarch-based ethanol has increased feedstock price volatility and exerts a general effect across the agricultural sector. Second, the large discrepancy between the original Energy Independence and Security Act (EISA) intentions and the actual RFS2 implementation for some fuel classes has increased the investment uncertainty facing investors in biofuel production, distribution, and consumption. Here we discuss and analyze the sources of uncertainty and evaluate the effect of potential RFS2 adjustments as they influence these uncertainties. This includes the use of a flexible, production dependent mandate on corn starch ethanol. We find that a flexible mandate on cornstarch ethanol relaxed during drought could significantly reduce commodity price spikes and alleviate the decline of livestock production in cases of feedstock production shortfalls, but it would increase the risk for ethanol investors.

Updating the U.S. Life Cycle GHG Petroleum Baseline to 2014 with Projections to 2040 Using Open-Source Engineering-Based Models.

The National Energy Technology Laboratory produced a well-to-wheels (WTW) life cycle greenhouse gas analysis of petroleum-based fuels consumed in the U.S. in 2005, known as the NETL 2005 Petroleum Baseline. This study uses a set of engineering-based, open-source models combined with publicly available data to calculate baseline results for 2014. An increase between the 2005 baseline and the 2014 results presented here (e.g., 92.4 vs 96.2 g CO2e/MJ gasoline, + 4.1%) are due to changes both in modeling platform and in the U.S. petroleum sector. An updated result for 2005 was calculated to minimize the effect of the change in modeling platform, and emissions for gasoline in 2014 were about 2% lower than in 2005 (98.1 vs 96.2 g CO2e/MJ gasoline). The same methods were utilized to forecast emissions from fuels out to 2040, indicating maximum changes from the 2014 gasoline result between +2.1% and -1.4%. The changing baseline values lead to potential compliance challenges with frameworks such as the Energy Independence and Security Act (EISA) Section 526, which states that Federal agencies should not purchase alternative fuels unless their life cycle GHG emissions are less than those of conventionally produced, petroleum-derived fuels.

Spatially Explicit Life Cycle Assessment: Opportunities and challenges of wastewater-based algal biofuels in the United States

This work presented a Spatially-Explicit-High-Resolution Life Cycle Assessment (SEHR-LCA) model for wastewater-based algal biofuel production, by integrating life cycle assessment, GIS analysis, and site-specific Wastewater Treatment Plants (WWTPs) data analysis. Wastewater resources, land availability, and meteorological variation were analyzed for algae cultivation. Three pathways, Microwave Pyrolysis, hydrothermal liquefaction, and lipid extraction were modeled for bio-oil conversion. This model enables the assessment of seasonal and site-specific variations in productivity and environmental impacts of wastewater-based algal bio-oil across the whole U.S. Model results indicate that wastewater-based algal bio-oil can provide an opportunity to increase national biofuel output. The potential production of algal bio-oil can reach to 0.98billiongallon/yr, nearly 20% of advanced biofuel projection as outlined in the U.S. Energy Independence and Security Act (EISA) of 2007. LCA results shows significant variations among different locations, WWTPs, and operational seasons. Although not competitive to conventional fossil fuel in energy efficiency, wastewater-based algal biofuel could offer significant benefit in controlling GHG emissions. However, spatial analysis shows that only 61% of the total wastewater could be used, based on current land use efficiency for algae cultivation and land availability around each WWTP in a radius where algal biofuel production is energy positive (energy output>energy input). These results indicate that land availability could be a significant challenge for wastewater-based algal biofuels that have not been considered in previous studies. They also suggest that improvement should be made in technological development and system design to increase energy and land use efficiency for full potential of wastewater as a promising resource for algal biofuel production. Although focusing on the U.S. as the case study, the developed methodology could be used for spatially explicit analysis of algal biofuel integrated with wastewater on macro-scale in other regions as well.

Estimating Nitrogen Load Resulting from Biofuel Mandates.

The Energy Policy Act of 2005 and the Energy Independence and Security Act (EISA) of 2007 were enacted to reduce the U.S. dependency on foreign oil by increasing the use of biofuels. The increased demand for biofuels from corn and soybeans could result in an increase of nitrogen flux if not managed properly. The objectives of this study are to estimate nitrogen flux from energy crop production and to identify the catchment areas with high nitrogen flux. The results show that biofuel production can result in an increase of nitrogen flux to the northern Gulf of Mexico from 270 to 1742 thousand metric tons. Using all cellulosic (hay) ethanol or biodiesel to meet the 2022 mandate is expected to reduce nitrogen flux; however, it requires approximately 25% more land when compared to other scenarios. Producing ethanol from switchgrass rather than hay results in three-times more nitrogen flux, but requires 43% less land. Using corn ethanol for 2022 mandates is expected to have double the nitrogen flux when compared to the EISA-specified 2022 scenario; however, it will require less land area. Shifting the U.S. energy supply from foreign oil to the Midwest cannot occur without economic and environmental impacts, which could potentially lead to more eutrophication and hypoxia.

Hydrologic and water-quality impacts of agricultural land use changes incurred from bioenergy policies

Summary The US Energy Independence and Security Act (EISA) of 2007 has contributed to widespread changes in agricultural land uses. The impact of these land use changes on regional water resources could also be significant. Agricultural land use changes were evaluated for the Red River of the North Basin, an international river basin shared by the US and Canada. The influence of the land use change on spring snowmelt flooding and downstream water quality was also assessed using watershed modeling. The planting areas for corn and soybean in the basin increased by 62% and 18%, while those for spring wheat, forest, and pasture decreased by 30%, 18%, and 50%, from 2006 to 2013. Although the magnitude of spring snowmelt peak flows in the Red River did not change from pre-EISA to post-EISA, our uncertainty analysis of the normalized hydrographs revealed that the downstream streamflows had a greater variability under the post-EISA land use scenario, which may lead to greater uncertainty in predicting spring snowmelt floods in the Red River. Hydrological simulation also showed that the sediment and nutrient loads at the basin’s outlet in the US and Canada border increased under the post-EISA land use scenario, on average sediment increasing by 2.6%, TP by 14.1%, nitrate nitrogen by 5.9%, and TN by 9.1%.

Uncertainties in Life Cycle Greenhouse Gas Emissions from Advanced Biomass Feedstock Logistics Supply Chains in Kansas

To meet Energy Independence and Security Act (EISA) cellulosic biofuel mandates, the United States will require an annual domestic supply of about 242 million Mg of biomass by 2022. To improve the feedstock logistics of lignocellulosic biofuels in order to access available biomass resources from areas with varying yields, commodity systems have been proposed and designed to deliver quality-controlled biomass feedstocks at preprocessing “depots”. Preprocessing depots densify and stabilize the biomass prior to long-distance transport and delivery to centralized biorefineries. The logistics of biomass commodity supply chains could introduce spatially variable environmental impacts into the biofuel life cycle due to needing to harvest, move, and preprocess biomass from multiple distances that have variable spatial density. This study examines the uncertainty in greenhouse gas (GHG) emissions of corn stover logistics within a bio-ethanol supply chain in the state of Kansas, where sustainable biomass supply varies spatially. Two scenarios were evaluated each having a different number of depots of varying capacity and location within Kansas relative to a central commodity-receiving biorefinery to test GHG emissions uncertainty. The first scenario sited four preprocessing depots evenly across the state of Kansas but within the vicinity of counties having high biomass supply density. The second scenario located five depots based on the shortest depot-to-biorefinery rail distance and biomass availability. The logistics supply chain consists of corn stover harvest, collection and storage, feedstock transport from field to biomass preprocessing depot, preprocessing depot operations, and commodity transport from the biomass preprocessing depot to the biorefinery. Monte Carlo simulation was used to estimate the spatial uncertainty in the feedstock logistics gate-to-gate sequence. Within the logistics supply chain GHG emissions are most sensitive to the transport of the densified biomass, which introduces the highest variability (0.2–13 g CO2e/MJ) to life cycle GHG emissions. Moreover, depending upon the biomass availability and its spatial density and surrounding transportation infrastructure (road and rail), logistics can increase the variability in life cycle environmental impacts for lignocellulosic biofuels. Within Kansas, life cycle GHG emissions could range from 24 g CO2e/MJ to 41 g CO2e/MJ depending upon the location, size and number of preprocessing depots constructed. However, this range can be minimized through optimizing the siting of preprocessing depots where ample rail infrastructure exists to supply biomass commodity to a regional biorefinery supply system.

Biomass Production and Water: A Brief Review of Recent Research

The Energy Independence and Security Act (EISA) mandated an increase in the production of liquid fuels from renewable sources, including corn, soybeans, and perennial crops. Expanded corn production poses a risk to water quality, and expanded production of perennial crops for cellulosic ethanol may have positive effects on water quality as well as positive or negative impacts on water quantity. Nitrate contamination from corn production is greatest in regions with subsurface drainage systems. Sediment and phosphorus contamination are more likely to come from sloping soils. The risks to water quality can be reduced by conservation practices, such as planting winter cover crops, but the costs of implementing these practices represent a barrier to adoption when there is little or no benefit to the farm owner or operator. The magnitude of these impacts appears to be highly variable and there is a need for more empirical work to improve simulation models to quantify the impacts in different physiographic settings and at a range of scales.

Impacts of Feedstock Composition on Alcohol Yields and Greenhouse Gas Emissions from the NREL Thermochemical Ethanol Conversion Process

There has been great attention focused on the effects of first and second generation biofuels on global warming. The Energy Independence and Security Act (EISA) and the Renewable Fuel Standard (RFS) have mandated production levels and performance criteria of biofuels in the United States. The thermochemical conversion of biomass to ethanol shows potential as a biofuel production pathway. The objective of this research was to examine the alcohol yields and GHG emissions from the thermochemical conversion process for six different feedstocks on a gate-to-gate basis. GHG analyses and life cycle assessments were performed for natural hardwood, loblolly pine, eucalyptus, miscanthus, corn stover, and switchgrass feedstocks using a NREL thermochemical model and SimaPro. Alcohol yield and GHG emission for the hybrid poplar baseline feedstock conversion were 105,400 L dry metric ton−1 and 2.8 kg CO2 eq. per liter, respectively. Compared with the baseline, loblolly pine produced the highest alcohol yields, an 8.5% increase, and the lowest GHG emissions per liter of ethanol, a 9.1% decrease. Corn stover, due to its high ash content, had the lowest yields and the highest GHG emissions per liter of ethanol. The results were highly sensitive to the ash and water content of the biomass, indicating that biomass properties can significantly affect the environmental impact of the thermochemical ethanol conversion process.

Bioethanol Potentials and Life-Cycle Assessments of Biofuel Feedstocks

A wide range of bioenergy crops has been proposed as feedstocks that can serve as renewable and ecologically sound substitutes to fossil fuels. In the United States, corn grain (Zea mays) ethanol is the primary biofuel, with over 49 billion liters produced in 2010. Along with the Energy Independence and Security Act (EISA) of 2007 mandate, concerns about competition for food, land availability, nutrient and water requirements, energy balances, and greenhouse gas (GHG) emissions have prompted researchers to investigate other potential feedstocks. These include second-generation lignocellulosic feedstock and third-generation biodiesel from microalgae and cyanobacteria. However, each feedstock option has associated benefits and consequences for its use. One technique used to evaluate the energy efficiency of bioenergy production systems is the life-cycle assessment (LCA), where system inputs and outputs are computed in terms of either C or energy equivalents to assess the net gains in energy or C offsets. This article collates and synthesizes information about feedstock production options. Results show a wide range of calculated energy and GHG balances, even for the same feedstock species. Discrepancies in LCA and uncertainty thus make direct comparisons difficult and prevent a consensus in determining feedstock suitability. Recommendations must be based upon LCA model assumptions, crop species, cultivation methods, management practices, and energy conversion choices. Currently lignocellulosic feedstock, while a better alternative than corn grain, is not a long-term viable energy source. New feedstocks and technologies are necessary if bioenergy is to be C-neutral and efficient in energy production and land use. Although C fluxes are considered in LCA, one important ecosystem C stock that has previously been left out of many LCA models is changes to soil organic carbon (SOC). Future research, developments, and priorities are discussed for options to produce low C fuel sources and stabilize the climate.

Sweetness and Power - Public Policies and the ‘Biofuels Frenzy’

Sweetness and Power - Public Policies and the ‘Biofuels Frenzy’

Food vs. Fuel: The Effect of Biofuel Policies

The rise in food commodity prices since 2004, which reached record highs in 2008, has coincided with the tripling of corn ethanol production from 15 billion liters (BL) to 50 BL over the 2004–2010 period. This has spurred the food vs. fuel debate and raised questions about the extent to which biofuels have contributed to the increase in food crop prices. Estimates of the impact of observed levels of biofuel production differ widely across studies and lie between 20% and 60% (Hochman et al. 2011). Biofuel production in the United States (US) has surged as a result of government policies like the Renewable Fuel Standard (RFS), volumetric ethanol excise tax credit (VEETC) for blenders of ethanol, and tariffs that restrict the imports of sugarcane ethanol. The RFS authorized by the Energy Independence and Security Act (EISA) of 2007 has set ambitious targets of increasing biofuel production sixfold to 136 BL by 2022, with over 60% of it to be met by advanced biofuels produced using non-corn starch based feedstocks. A $0.12/liter VEETC is provided to blenders of ethanol to reduce their costs of meeting the RFS while a tariff of $0.14/liter and an ad valorem tariff of 2.5% were enacted to prevent transfer of the tax credit to ethanol producers in Brazil. The current VEETC and import tariff expired in 2011. With increasing federal debt and concerns about the impact of these policies on food and feed prices, political support for the

Development of feedstocks for cellulosic biofuels.

The inclusion of cellulosic ethanol in the Energy Independence and Security Act (EISA) of 2007 and the revised Renewable Fuel Standard (RFS2) has spurred development of the first commercial scale cellulosic ethanol biorefineries. These efforts have also revived interest in the development of dedicated energy crops selected for biomass productivity and for properties that facilitate conversion of biomass to liquid fuels. While many aspects of developing these feedstocks are compatible with current agricultural activities, improving biomass productivity may provide opportunities to expand the potential for biofuel production beyond the classical research objectives associated with improving traditional food and feed crops.

Replacing Gasoline with Corn Ethanol Results in Significant Environmental Problem-Shifting

Previous studies on the life-cycle environmental impacts of corn ethanol and gasoline focused almost exclusively on energy balance and greenhouse gas (GHG) emissions and largely overlooked the influence of regional differences in agricultural practices. This study compares the environmental impact of gasoline and E85 taking into consideration 12 different environmental impacts and regional differences among 19 corn-growing states. Results show that E85 does not outperform gasoline when a wide spectrum of impacts is considered. If the impacts are aggregated using weights developed by the National Institute of Standards and Technology (NIST), overall, E85 generates approximately 6% to 108% (23% on average) greater impact compared with gasoline, depending on where corn is produced, primarily because corn production induces significant eutrophication impacts and requires intensive irrigation. If GHG emissions from the indirect land use changes are considered, the differences increase to between 16% and 118% (33% on average). Our study indicates that replacing gasoline with corn ethanol may only result in shifting the net environmental impacts primarily toward increased eutrophication and greater water scarcity. These results suggest that the environmental criteria used in the Energy Independence and Security Act (EISA) be re-evaluated to include additional categories of environmental impact beyond GHG emissions.

Midwest U.S. landscape change to 2020 driven by biofuel mandates

Meeting future biofuel targets set by the 2007 Energy Independence and Security Act (EISA) will require a substantial increase in production of corn. The Midwest, which has the highest overall crop production capacity, is likely to bear the brunt of the biofuel-driven changes. In this paper, we set forth a method for developing a possible future landscape and evaluate changes in practices and production between base year (BY) 2001 and biofuel target (BT) 2020. In our BT 2020 Midwest landscape, a total of 25 million acres (1 acre = 0.40 ha) of farmland was converted from rotational cropping to continuous corn. Several states across the Midwest had watersheds where continuous corn planting increased by more than 50%. The output from the Center for Agriculture and Rural Development (CARD) econometric model predicted that corn grain production would double. In our study we were able to get within 2% of this expected corn production. The greatest increases in corn production were in the Corn Belt as a result of conversion to continuous corn planting. In addition to changes to cropping practices as a result of biofuel initiatives we also found that urban growth would result in a loss of over 7 million acres of productive farmland by 2020. We demonstrate a method which successfully combines economic model output with gridded land cover data to create a spatially explicit detailed classification of the landscape across the Midwest. Understanding where changes are likely to take place on the landscape will enable the evaluation of trade-offs between economic benefits and ecosystem services allowing proactive conservation and sustainable production for human well-being into the future.

Developing Sustainability Indicators for Woody Biomass Harvesting in the United States

Bioenergy production has increased significantly in the last decade, and recent legislative efforts such as the discussion draft for the American Clean Energy and Security Act of 2009 and the Energy Independence and Security Act (EISA) of 2007 are expected to encourage even more growth. The growing demand for bioenergy will necessitate production of large quantities of woody biomass and plant residues if it is to be met. However, concerns are being raised as to how increased pressures will affect the sustainability of woody biomass. In order to avoid potential pitfalls and ensure the sustainability of wood-based bioenergy systems, a set of sustainability indicators needs to be developed. Some of these indicators can be based on standards similar to those developed for sustainable forest management, energy balances, greenhouse gas emission reductions, and existing codes and guidelines for biomass harvesting. This article discusses a potential set of sustainability indicators encompassing ecological, economic, and social principles for harvesting woody biomass for bioenergy. The extent to which existing standards and certification systems reflect these indicators is elaborated upon. Methods for making these standards operational are also suggested.