scholarly journals The Feasibility of Renewable Natural Gas in New Jersey

2021 ◽  
Vol 13 (4) ◽  
pp. 1618
Author(s):  
Anneliese Dyer ◽  
Amelia Christine Miller ◽  
Brianna Chandra ◽  
Juan Galindo Maza ◽  
Carley Tran ◽  
...  

With traditional natural gas being one of the top options for heating in the United States and the present threat of climate change, there is a demand for an alternative clean fuel source. A Renewable Natural Gas Implementation Decision-Making Conceptual Model was created to provide a framework for considering the feasibility of renewable natural gas (RNG) projects and applied to New Jersey, specifically investigating landfills and wastewater treatment plants (WWTPs). Data from the US EPA’s Landfill Methane Outreach Program and New Jersey’s Department of Environmental Protection Sewage Sludge databases were used to identify seven landfills and 22 WWTPs as possible locations for RNG projects. Landfills were found to have a higher potential for producing RNG, on average potentially producing enough RNG to heat 12,792 homes per year versus 1227 for the average WWTP. Additionally, landfills, while having higher capital expenses, have lower projected payback periods, averaging 5.19 years compared to WWTP’s 11.78 years. WWTPs, however, generally are located closer to existing natural gas pipelines than landfills and when they produce more than 362 million standard cubic feet per year (MMSCFY) of biogas are financially feasible. RNG projects at Monmouth County Reclamation Center, Ocean County Landfill, and Passaic Valley Sewerage Commission WWTP show the greatest potential. Greenhouse gas emission reductions from RNG projects at these facilities utilizing all available biogas would be 1.628 million metric tons CO2 equivalents per year, synonymous to removing over 351,000 passenger vehicles from the road each year. In addition, expanding federal and state incentives to encompass RNG as a heating fuel is necessary to reduce financial barriers to RNG projects throughout the US. Overall, this paper supports the hypothesized conceptual model in examining the feasibility of RNG projects through examples from New Jersey and confirms the potential for RNG production utilizing existing waste streams.

2020 ◽  
Author(s):  
Kimberly Mueller ◽  
Subhomoy Ghosh ◽  
Anna Karion ◽  
Sharon Gourdji ◽  
Israel Lopez-Coto ◽  
...  

<p>In the past decade, there has been a scientific focus on improving the accuracy and precision of methane (CH4) emission estimates in the United States, with much effort targeting oil and natural gas producing basins. Yet, regional CH4 emissions and their attribution to specific sources continue to have significant associated uncertainties. Recent urban work using aircraft observations have suggested that CH4 emissions are not well characterized in major cities along the U.S. East Coast; discrepancies have been attributed to an under-estimation of fugitive emissions from the distribution of natural gas. However, much of regional and urban research has involved the use of aircraft campaigns that can only provide a spatio-temporal snapshot of the CH4 emission landscape. As such, the annual representation and the seasonal variability of emissions remain largely unknown. To further investigate CH4 emissions, we present preliminary CH4 emissions estimates in the Northeastern US as part of NIST’s Northeast Corridor (NEC) testbed project using a regional inversion framework. This area encompasses over 20% of the US and contains many of the dominant CH4 emissions sources important at both regional and local scales.  The atmospheric inversion can estimate sub-monthly 0.1-degree emissions using observations from a regional network of up to 37 in-situ towers; some towers are in non-urban areas while others are in cities or suburban areas. The inversion uses different emission products to help provide a prior constraint within the inversion including anthropogenic emissions from both the EDGAR v42 for the year 2008 and the US EPA for the year 2012, and natural wetland CH4 emissions from the WetCHARTs ensemble mean for the year 2010. Results include the comparison of synthetic model simulated CH4 concentrations (i.e., convolutions of the emission products with WRF-STILT footprints + background) to mole-fractions measured at the regional in-situ sites. The comparison provides an indication as to how well our prior understanding of emissions and incoming air flow matches the atmospheric signatures due to the underlying CH4 sources.  We also present a preliminary set of CH4 fluxes for a selected number of urban centers and discuss challenges estimating highly-resolved methane emissions using high-frequency in-situ observations for a regional domain (e.g. few constraints, skewness in underlying fluxes, representing incoming background, etc.). Overall, this work provides the basis for a year-long inversion that will yields regional CH4 emissions over the Northeast US with a focus on Eastern urban areas.</p>


2012 ◽  
Vol 616-618 ◽  
pp. 767-769
Author(s):  
Jian Guo Wang ◽  
Hai Jie Zhang ◽  
Cui Cui Liu ◽  
Li Xia Lou

China is facing a severe situation of energy resources. High oil dependency is seriously threatening our economy’s fast and stable development. The US has successfully achieved the commercial development of shale gas, which has decreased its oil dependency, and also contributed to its natural gas geology and petroleum engineering technology development. Both Chinese and U.S. geological experts predict that China has similar quantities of shale gas reserves as founded in the United States. This paper aims to clarify that producing shale gas resources has economic significance of energy security and environment protection, and scientific significance of promoting the further development of natural gas geology and petroleum engineering subjects.


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6021
Author(s):  
Palanisamy Manigandan ◽  
MD Shabbir Alam ◽  
Majed Alharthi ◽  
Uzma Khan ◽  
Kuppusamy Alagirisamy ◽  
...  

Research on forecasting the seasonality and growth trend of natural gas (NG) production and consumption will help organize an analysis base for NG inspection and development, social issues, and allow industrials elements to operate effectively and reduce economic issues. In this situation, we handle a comparison structure on the application of different models in monthly NG production and consumption forecasting using the cross-correlation function and then analyze the association between exogenous variables. Moreover, the SARIMA-X model is tested for US monthly NG production and consumption prediction via the proposed method for the first time in the literature review in this study. The performance of that model has been compared with SARIMA (p, d, q) * (P, D, Q)s. The results from RMSE and MAPE indicate that the superiority of the best model. By applying this method, the US monthly NG production and consumption is forecast until 2025. The success of the proposed method allows the use of seasonality patterns. If this seasonal approach continues, the United States’ NG production (16%) and consumption (24%) are expected to increase by 2025. The results of this study provide effective information for decision-makers on NG production and consumption to be credible and to determine energy planning and future sustainable energy policies.


2019 ◽  
Vol 40 (1) ◽  
pp. 283-304 ◽  
Author(s):  
Diane A. Garcia-Gonzales ◽  
Seth B.C. Shonkoff ◽  
Jake Hays ◽  
Michael Jerrett

Increased energy demands and innovations in upstream oil and natural gas (ONG) extraction technologies have enabled the United States to become one of the world's leading producers of petroleum and natural gas hydrocarbons. The US Environmental Protection Agency (EPA) lists 187 hazardous air pollutants (HAPs) that are known or suspected to cause cancer or other serious health effects. Several of these HAPs have been measured at elevated concentrations around ONG sites, but most have not been studied in the context of upstream development. In this review, we analyzed recent global peer-reviewed articles that investigated HAPs near ONG operations to ( a) identify HAPs associated with upstream ONG development, ( b) identify their specific sources in upstream processes, and ( c) examine the potential for adverse health outcomes from HAPs emitted during these phases of hydrocarbon development.


2018 ◽  
Vol 10 (9) ◽  
pp. 3322 ◽  
Author(s):  
Jong-Hyun Kim ◽  
Yong-Gil Lee

Since 2007, shale oil and gas production in the United States has become a significant portion of the global fossil fuel market. The main cause for the increase in production of shale oil and gas in the US is the adoption of new production technologies, namely, horizontal drilling and hydraulic fracturing. However, the production cost of shale oil and gas in the US is comparably higher than the production cost of conventional oil and gas. In 2014, the crude oil and natural gas price decreased significantly to approximately 40 dollars per barrel, and natural gas prices decreased to 3 dollars per million British thermal unit, and thus the productivity and financial conditions for the exploration and production of shale oil and natural gas for producers in the United States have worsened critically. Therefore, technological innovation has become one of the most interesting issues of the energy industry. The present study analyzes the trends in technological innovation having a relationship with production activities. This study calculates the learning rate of 30 companies from the petroleum exploration and production industry in the United States using an improved learning rate calculation formula that reflects the changes in the oil production ratio. Thus, more statistically confident calculation results and interpretations of strategic production activities with regard to changes in the industrial environment were achieved in this study.


2022 ◽  
Author(s):  
Mohamad B. Taha ◽  
Javier Valero-Elizondo ◽  
Tamer Yahya ◽  
César Caraballo ◽  
Rohan Khera ◽  
...  

<b>Objective:</b> Health-related expenditures due to diabetes are rising in the US. Medication nonadherence is associated with worse health outcomes among adults with diabetes. <a>We sought to examine the extent of reported cost-related medication nonadherence (CRN) in individuals with diabetes in the US</a>. <p><b>Research Design and Methods: </b>We studied adults ≥18 with self-reported diabetes from the National Health Interview Survey (NHIS; 2013-18), a US nationally representative survey. Adults reporting skipping doses, taking less medication, or delaying filling a prescription to save money in the past year were considered to have experienced CRN. The weighted prevalence of CRN was estimated overall and by age subgroups (<65 and ≥65 years). Logistic regression was used to identify sociodemographic characteristics independently associated with CRN. </p> <p><b>Results: </b>Of the 20,326 NHIS participants with diabetes, 17.6% (weighted: 2.3 million) of those aged <65 reported CRN, compared with 6.9% (weighted: 0.7 million) among those aged ≥65. Financial hardship from medical bills, lack of insurance, low-income, high comorbidity burden and female sex were independently associated with CRN across age groups. Lack of insurance, duration of diabetes, current smoking, hypertension, and hypercholesterolemia were associated with higher odds of reporting CRN among the non-elderly, but not among the elderly. Among elderly, insulin use significantly increased the odds of reporting CRN (OR 1.51, 95% CI 1.18, 1.92).</p> <p><b>Conclusions: </b>In the US, 1 in 6 non-elderly and 1 in 14 elderly adults with diabetes reported CRN. Removing financial barriers to accessing medications may improve medication adherence among these patients, with the potential to improve their outcomes.</p>


1998 ◽  
Vol 37 (12) ◽  
pp. 21-25
Author(s):  
M. Truett Garrett

A historical overview is presented of instrumentation control and automation as applied in US wastewater treatment plants. A description is given how computer equipment has progressed through direct digital control, distributed control, programmable logic controllers, to the use of personal computers along with PLC's or I/O boards in minimum systems. Software developments have brought systems analysis, expert systems, fuzzy logic control, and artificial neural network control. An instrumentation test house has been organized in the US to improve the odds of purchasing reliable instruments. Technical Conferences on ICA are presented regularly by the American Water Works Association and the Water Environment Association. There is still need for designers to consider a complete system that includes a data base for automatic preparation of reports on the plant for use at other levels as was called for by delegates to the early workshops.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5575-5575
Author(s):  
Gordon Ruan ◽  
Gaurav Goyal ◽  
Shahrukh K. Hashmi ◽  
Prashant Kapoor ◽  
Ronald S. Go

Abstract Background: The incidence of multiple myeloma (MM) in the US is increasing among non-Hispanic (NH) White males and females as well as NH Black males (Costa LJ, Blood Advances 2017). However, more specific incidence studies accounting for geographic and age subgroups are limited. There is also a growing concern that incidence of many cancers is increasing in the younger population. Utilizing the Surveillance, Epidemiology, and End Results Program (SEER), we investigated the trends in MM incidence in the US according to demographic and geographic subgroups with a focus on the young adults. Methods: Incidence rates (case/100,0000) were calculated using SEER*Stat and 2000-2015 data from SEER-18 registries age-adjusted to the U.S. 2000 standard population. We calculated the annual percentage change (APC) of incidence rates according to age groups and stratified by sex, race, and registry. Age at diagnosis was analyzed in 10-year intervals starting at 20 years. All analyses used ICD-O-3 codes 9732/3 with microscopically confirmed MM. Results: There were 69,613 MM patients included in the analysis. The mean age at diagnosis was 68 years and decreased over time from 68.5 years in 2000 to 67.6 years in 2015. Men comprised 55.5% of the population. Patients <50 years constituted 7.9% of the population with 6.6% between 40-49 years. The incidence significantly (all p values <0.01) increased from 2000-2015 for the entire cohort (incidence 6.9-9.5; APC 1.1) and for males (8.6-9.5; 1.1) and females (5.7-6.3; 0.8). The highest increase in incidence among the age groups (Figure) was in 40-49 years (1.9-2.7; 2.1). When analyzing the trends for age groups stratified by sex, women ages 40-49 years had the highest increase in incidence (1.6-2.6; 2.4). The APCs of SEER-18 registries stratified by age and sex are reported in the Table. The highest APCs (>3.0) were observed in the registries of Atlanta, Greater Georgia, Hawaii, and New Jersey. When the SEER-18 registries were further stratified by race, white men ages 40-49 years in Seattle and New Jersey had APCs of 5.5 and 2.9 respectively, while Black women ages 40-49 years in Greater Georgia had an APC of 3.3. Only 3 groups of individuals had a significant decline in the incidence: Asian women ≥70 years in Los Angeles (APC -6.4), White women ≥70 years in Los Angeles (APC -1.9), and men 50-59 years in San Jose (APC -1.5). Conclusions: The overall incidence of MM is increasing in the US with the highest increment among young adults between the age groups 40-49 years. We observed geographic and demographic differences in the incidence rates, which may reflect genetic and environmental influences. Interestingly, a few geo-demographic subgroups had a decline in the incidence. Further research is needed to determine the reasons behind the observed trends. Disclosures Kapoor: Celgene: Research Funding; Takeda: Research Funding.


2020 ◽  
Author(s):  
Clara L. ◽  
Fei Liu

AbstractIn December 2019, the outbreak of corona virus disease, also known as COVID-19, was first reported in Wuhan, China [1]. Within only one month, the disease quickly spread to the United States through the transmission of respiratory droplets released when an infected individual sneezes or coughs [2]. Throughout the course of 9 months, the US reported over 8 million cases and 204,000 deaths, affecting the daily lives of American citizens [3]. As trends in corona virus cases are changing daily, it’s important to monitor these trends and observe the causes for the increase and decrease in new cases. The trends in new corona virus cases in the US as well as New Jersey are simulated using a modified Susceptible-Infected-Recovered (SIR) model. The new case graphs from the simulations reflect the new case trends in both the US and New Jersey and can be used to understand the mechanism behind the rates of corona virus infection as well as predict future corona virus trends. Comparisons between the results of the simulations and observed data show the effectiveness of control measures such as quarantine, physical distancing, and wearing masks. The extended time period of control measures taken in New Jersey led to a gradual decline in new cases reported daily while the US new cases showed a second wave of growth after control measures were implemented to a lesser extent.


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