How price responsive is commercial electricity demand in the US?

2022 ◽  
Vol 35 (1) ◽  
pp. 107066
Author(s):  
Raymond Li ◽  
Chi-Keung Woo
Keyword(s):  
2021 ◽  
Author(s):  
Jay Zarnikau ◽  
Raymond Li ◽  
Chi-Keung Woo ◽  
Asher Tishler
Keyword(s):  

2021 ◽  
Vol 73 (08) ◽  
pp. 8-8
Author(s):  
Pam Boschee

Forecasts for oil demand are looking up, according to OPEC and the International Energy Agency as of mid-July. Will the optimistic views prove to be on target? We have learned how the market can shift or wildly careen, both historically and in the very recent past. Looking at the forecasts, which reflect a consensus of sorts, is encouraging for producers. OPEC’s monthly report of 15 July projected global oil demand to reach nearly 100 million B/D next year, a level similar to pre-pandemic in 2019. The 2021 oil demand growth remains unchanged at 5.95 million B/D, or approximately 6.6%. Led by demand growth in the US, China, and India, a 3.4% increase is expected in 2022 to 99.86 million B/D and would average more than 100 million B/D in the second half of the year. “Solid expectations exist for global economic growth in 2022,” OPEC said. “These include improved containment of COVID-19, particularly in emerging and developing countries, which are forecast to spur oil demand to reach pre-pandemic levels in 2022.” If the actual recovery tracks with these predictions, OPEC can dial back further its record-level supply cuts made in 2020. The IEA points to the growth expected in global electricity demand as spurring fossil-fuel demand, including oil, coal, and natural gas. After falling by around 1% in 2020, electricity demand growth may approach 5% in 2021 and 4% in 2022. The Asia Pacific region will account for the majority of the increases. China, the world’s largest consumer of electricity, leads the tally, accounting for more than 50% of the 2022 growth. India, the third largest, will account for 9% of the global electricity growth. Renewables are expected to be able to serve around half of the projected growth in global demand in 2021 and 2022. IEA wrote, “Renewable electricity generation continues to grow strongly—but cannot keep up with increasing demand. After expanding by 7% in 2020, electricity generation from renewables is forecast to increase by 8% in 2021 and by more than 6% in 2022.” Fossil fuel-based electricity is set to cover 45% of additional demand in 2021 and 40% in 2022. After declining by 4.6% in 2020, coal-fired electricity generation will increase by nearly 5% in 2021, exceeding pre-pandemic levels. In 2022, it will grow another 3% and could reach an all-time high. Natural gas-generated electricity lags coal because it is less commonly used in the Asia Pacific and competes with renewables in the US and Europe. It is expected to increase globally by 1% in 2021 and by nearly 2% in 2022 after declining by 2% in 2020. The US Energy Information Administration published a global financial review last month of 91 oil and gas companies, most headquartered in the US, in the first quarter 2021. It indicated that companies are implementing their plans announced over the past year to reduce capital expenditures to pay down debt. Capital expenditure in 1Q2021 was reported as $48 billion, 28% lower than in 1Q2020 and the second- lowest amount for any quarter since 2016. Cash from operations in Q1 this year totaled $79 billion, 19% higher than in 1Q2020; about 76% of companies had positive free cash flow. Overall, the companies decreased debt by $16 billion in 1Q2021, and the long-term debt-to-equity ratio decreased to 54%.


Energy ◽  
2021 ◽  
pp. 120921
Author(s):  
Raymond Li ◽  
Chi-Keung Woo ◽  
Kevin Cox
Keyword(s):  

2020 ◽  
Vol 158 (2) ◽  
pp. 125-139 ◽  
Author(s):  
Daniel C. Steinberg ◽  
Bryan K. Mignone ◽  
Jordan Macknick ◽  
Yinong Sun ◽  
Kelly Eurek ◽  
...  

AbstractClimate change may affect the US electricity system through changes in electricity demand, mediated by increases in average surface temperature, and through changes in electricity supply, mediated by changes in both surface temperature and regional water availability. By coupling projections from four general circulation models (GCMs) with a state-of-the-art US electricity system model—the Regional Energy Deployment System (ReEDS)—this study evaluates both the isolated and combined effects of different climate-mediated drivers of US electricity system change through 2050. Comparing results across climate models allows us to evaluate which effects are robust to uncertainty in projected climate outcomes. Comparing effects of different drivers in isolation and in combination allows us to determine the relative contributions of the climate-mediated effects on system evolution. Our results indicate that national-level energy and economic impacts are largely driven by increases in electricity demand that follow from a consistent increase in surface air temperature that is largely robust to the choice of climate model. Other electricity system changes can be equally or more significant in some regions, but these effects are more regionally variable, less significant when aggregated to the national scale, and less robust to the choice of climate model. The findings show that the impacts of climate change on the electricity system can be understood in terms of fewer drivers and with greater certainty at the national level than at the regional level.


2004 ◽  
Vol 32 (1) ◽  
pp. 181-184
Author(s):  
Amy Garrigues

On September 15, 2003, the US. Court of Appeals for the Eleventh Circuit held that agreements between pharmaceutical and generic companies not to compete are not per se unlawful if these agreements do not expand the existing exclusionary right of a patent. The Valley DrugCo.v.Geneva Pharmaceuticals decision emphasizes that the nature of a patent gives the patent holder exclusive rights, and if an agreement merely confirms that exclusivity, then it is not per se unlawful. With this holding, the appeals court reversed the decision of the trial court, which held that agreements under which competitors are paid to stay out of the market are per se violations of the antitrust laws. An examination of the Valley Drugtrial and appeals court decisions sheds light on the two sides of an emerging legal debate concerning the validity of pay-not-to-compete agreements, and more broadly, on the appropriate balance between the seemingly competing interests of patent and antitrust laws.


2000 ◽  
Vol 16 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Louis M. Hsu ◽  
Judy Hayman ◽  
Judith Koch ◽  
Debbie Mandell

Summary: In the United States' normative population for the WAIS-R, differences (Ds) between persons' verbal and performance IQs (VIQs and PIQs) tend to increase with an increase in full scale IQs (FSIQs). This suggests that norm-referenced interpretations of Ds should take FSIQs into account. Two new graphs are presented to facilitate this type of interpretation. One of these graphs estimates the mean of absolute values of D (called typical D) at each FSIQ level of the US normative population. The other graph estimates the absolute value of D that is exceeded only 5% of the time (called abnormal D) at each FSIQ level of this population. A graph for the identification of conventional “statistically significant Ds” (also called “reliable Ds”) is also presented. A reliable D is defined in the context of classical true score theory as an absolute D that is unlikely (p < .05) to be exceeded by a person whose true VIQ and PIQ are equal. As conventionally defined reliable Ds do not depend on the FSIQ. The graphs of typical and abnormal Ds are based on quadratic models of the relation of sizes of Ds to FSIQs. These models are generalizations of models described in Hsu (1996) . The new graphical method of identifying Abnormal Ds is compared to the conventional Payne-Jones method of identifying these Ds. Implications of the three juxtaposed graphs for the interpretation of VIQ-PIQ differences are discussed.


2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.


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