scholarly journals Without Environmental Justice, the Renewable Energy Transition Will Leave Low-Income and BIPOC Communities Behind

2021 ◽  
Vol 18 (03) ◽  
Author(s):  
Carolyn Ramírez

As extreme weather events become more common in the United States due to the worsening effects of climate change, access to utilities like electricity and water will be continually strained. Blackouts and intermittent utility interruptions impact low-income and communities of color most negatively. While renewable energy technologies promise alleviation of emissions and pollution, high cost and a lack of equitable energy infrastructure make it harder for low-income and communities of color to access renewable energy benefits. I propose a series of policies to address the cost barriers of renewable energy, improve reliability and access to power grids, and standardize household weatherization for people from all communities.

2020 ◽  
Vol 42 (4) ◽  
pp. 67-73
Author(s):  
T.A. Zheliezna

The aim of the work is to analyze targets on the transition to 100% renewable energy sources (RES) existing in different countries of the world as well as strategies for their achievement. The task of the work is to identify the most promising directions and develop appropriate recommendations for Ukraine. The global trend is setting targets for the transition to 100% RES, at least in some energy sectors, developing appropriate strategies and their implementation. Over the last decade, the cost of renewable energy has been steadily declining, making RES more competitive with fossil fuels in many parts of the world. Today, more than 50 countries, hundreds of cities and regions in one form or another have committed to switching to 100% RES. Most often it is about achieving 100% of renewable electricity. So far, at least 52 cities and regions have achieved their targets for the transition to 100% RES. Of these, 41 are located in Europe and 9 are located in the United States. About 2/3 of these targets relate only to renewable electricity. In Ukraine, the official targets for the development of RES are set out in the National Renewable Energy Action Plan until 2020 and in the Energy Strategy of Ukraine until 2035. Recently, a draft Concept of the “green” energy transition of Ukraine until 2050 was developed, which sets the goal of achieving a climate-neutral economy by 2070. One of the main directions of decarbonization of the economy is the development of RES in combination with increasing energy efficiency and energy saving. It is necessary to resume completing the document with the inclusion of reasonable long-term goals to achieve 100% RES in certain energy sectors and in the whole energy balance of Ukraine.


2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.


2020 ◽  
pp. 1-28
Author(s):  
Johannes Saurer ◽  
Jonas Monast

Abstract The Federal Republic of Germany and the United States (US) have adopted different models for energy federalism. Germany allocates more authority to the federal government and the US relies on a decentralized cooperative federalism model that preserves key roles for state actors. This article explores and compares the relevance of federal legal structures for renewable energy expansion in both countries. It sets out the constitutional, statutory, and factual foundations in both Germany and the US, and explores the legal and empirical dimensions of renewable energy expansion at the federal and state levels. The article concludes by drawing several comparative lessons about the significance of federal structures for energy transition processes.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hannah Cohen-Cline ◽  
Hsin-Fang Li ◽  
Monique Gill ◽  
Fatima Rodriguez ◽  
Tina Hernandez-Boussard ◽  
...  

Abstract Background The COVID-19 pandemic has further exposed inequities in our society, demonstrated by disproportionate COVID-19 infection rate and mortality in communities of color and low-income communities. One key area of inequity that has yet to be explored is disparities based on preferred language. Methods We conducted a retrospective cohort study of 164,368 adults tested for COVID-19 in a large healthcare system across Washington, Oregon, and California from March – July 2020. Using electronic health records, we constructed multi-level models that estimated the odds of testing positive for COVID-19 by preferred language, adjusting for age, race/ethnicity, and social factors. We further investigated interaction between preferred language and both race/ethnicity and state. Analysis was performed from October–December 2020. Results Those whose preferred language was not English had higher odds of having a COVID-19 positive test (OR 3.07, p < 0.001); this association remained significant after adjusting for age, race/ethnicity, and social factors. We found significant interaction between language and race/ethnicity and language and state, but the odds of COVID-19 test positivity remained greater for those whose preferred language was not English compared to those whose preferred language was English within each race/ethnicity and state. Conclusions People whose preferred language is not English are at greater risk of testing positive for COVID-19 regardless of age, race/ethnicity, geography, or social factors – demonstrating a significant inequity. Research demonstrates that our public health and healthcare systems are centered on English speakers, creating structural and systemic barriers to health. Addressing these barriers are long overdue and urgent for COVID-19 prevention.


Sci ◽  
2019 ◽  
Vol 1 (2) ◽  
pp. 43 ◽  
Author(s):  
Patrick Moriarty ◽  
Damon Honnery

Because of the near-term risk of extreme weather events and other adverse consequences from climate change, and, at least in the longer term, global fossil fuel depletion, there is world-wide interest in shifting to noncarbon energy sources, especially renewable energy (RE). Because of possible limitations on conventional renewable energy sources, researchers have looked for ways of overcoming these shortcomings by introducing radically new energy technologies. The largest RE source today is bioenergy, while solar energy and wind energy are regarded as having the largest technical potential. This paper reviews the literature on proposed new technologies for each of these three RE sources: microalgae for bioenergy, photolysis and airborne wind turbines. The main finding is that their proponents have underestimated the difficulties facing their introduction on a very large scale.


2019 ◽  
Vol 48 (3) ◽  
pp. 433-447 ◽  
Author(s):  
Craig Gundersen ◽  
Elaine Waxman ◽  
Amy S. Crumbaugh

The Supplemental Nutrition Assistance Program (SNAP) serves as the primary tool to alleviate food insecurity in the United States. Its effectiveness has been demonstrated in numerous studies, but the majority of SNAP recipients are still food insecure. One factor behind this is the difference in food prices across the country—SNAP benefits are not adjusted to reflect these differences. Using information from Feeding America's Map the Meal Gap (MMG) project, we compare the cost of a meal by county based on the Thrifty Food Plan (TFP)—which is used to set the maximum SNAP benefit—with the cost of the average meal for low-income food-secure households. We find that the cost of the latter meal is higher than the TFP meal for over 99 percent of the counties. We next consider the reduction in food insecurity if, by county, the maximum SNAP benefit level was set to the cost of the average meal for low-income food-secure households. We find that if this approach were implemented, there would be a decline of 50.9 percent in food insecurity among SNAP recipients at a cost of $23 billion.


2020 ◽  
Author(s):  
Evan Ruzanski ◽  
Venkatachalam Chandrasekar ◽  
Ivan Arias

&lt;p&gt;The Remote Sensing of Electrification, Lightning, and Mesoscale/Microscale Processes with Adaptive Ground Observations (RELAMPAGO) international field campaign occurred June 1, 2018, to April 30, 2019. This campaign was comprised of more than 150 scientists from 10 organizations. Data was collected to investigate different phases of the life cycle of thunderstorms that occur in Argentina to better understand the physical mechanisms that cause the initiation and growth of organized convective systems in some of the most intense storms on the planet. The main focus of the project was to develop new conceptual models for forecasting extreme weather events that will hopefully lead to reductions in future loss of life and property.&lt;/p&gt;&lt;p&gt;This presentation shows the performance of a recently developed model for estimating ice mass aloft, a key component in the atmospheric electrification process, and a method for nowcasting lightning activity using C-band weather radar and Global Lightning Dataset (GLD360) data from RELAMPAGO. This nowcasting method uses a grid-based approach to make specific forecasts of lightning in space and time. The method estimates ice mass aloft in the region where electrification occurs using a numerical optimization approach to essentially reframe a simplified bulk microphysical model into a completely data-driven model. Previous results using WSR-88D S-band radar data in the United States showed that using this model significantly improved nowcasts of first-flash lightning occurrence versus the traditional weather radar-based ice mass estimator as well as using lightning flash-rate density directly.&lt;/p&gt;


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