Reducing Energy Consumption: The Long-Term Effects of a Single TV Program

Sub-Saharan Africa has the lowest energy consumption per capita in the world, and this has undermined socioeconomic development in the region. The stationarity of energy consumption in the region has important implications for energy policy, forecasting and macroeconomic developments. This paper investigates the stationarity properties of energy consumption in 48 sub-Saharan Africa countries using the Augment Dickey–Fuller, Zivot–Andrews, Clemente–Montanes–Reyes and Lee–Strazicich LM tests. Using the Lee-Strazicich LM test as a benchmark, the study shows that energy consumption is stationary in 41 countries. This implies that energy policy makers should not be concerned about shocks in energy consumption in these countries because the shocks will be temporary and not transmitted to the macroeconomy. Also, energy policies will not have long-term effects. Policies that exert one-time temporary shocks on energy consumption would be more effective in these countries.

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Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones

Algorithms ◽

10.3390/a14110302 ◽

2021 ◽

Vol 14 (11) ◽

pp. 302

Author(s):

İbrahim Atli ◽

Metin Ozturk ◽

Gianluca C. Valastro ◽

Muhammad Zeeshan Asghar

Keyword(s):

Energy Consumption ◽

Unmanned Aerial Vehicles ◽

Base Station ◽

Energy Usage ◽

Weighting Method ◽

Q Learning ◽

Cumulative Distance ◽

Reducing Energy ◽

Wireless Connectivity

A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energy consumption, and flying laws, the number of studies focused on the sustainability element of UAV-assisted networking in the literature was limited thus far. We present a solution to this problem in this study; specifically, we design a Q-learning-based UAV placement strategy for long-term wireless connectivity while taking into account major constraints such as altitude regulations, nonflight zones, and transmit power. The goal is to determine the best location for the UAV base station (BS) while reducing energy consumption and increasing the number of users covered. Furthermore, a weighting method is devised, allowing energy usage and the number of users served to be prioritized based on network/battery circumstances. The suggested Q-learning-based solution is contrasted to the standard k-means clustering method, in which the UAV BS is positioned at the centroid location with the shortest cumulative distance between it and the users. The results demonstrate that the proposed solution outperforms the baseline k-means clustering-based method in terms of the number of users covered while achieving the desired minimization of the energy consumption.

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Projection of Post-Pandemic Italian Industrial Production through Vector AutoRegressive Models

Energies ◽

10.3390/en14175458 ◽

2021 ◽

Vol 14 (17) ◽

pp. 5458

Author(s):

Antonio Oliva ◽

Francesco Gracceva ◽

Daniele Lerede ◽

Matteo Nicoli ◽

Laura Savoldi

Keyword(s):

Energy Consumption ◽

Industrial Production ◽

Autoregressive Models ◽

Long Term Effects ◽

Vector Autoregressive Models ◽

Vector Autoregressive ◽

Industrial Energy ◽

Energy Service ◽

The Impact

Energy system models for the analysis of future scenarios are mainly driven by the set of energy service demands that define the broad outlines of socio-economic development throughout the model time horizon. Here, the long-term effects of the COVID-19 pandemic on the drivers of the industrial production in six energy-intensive subsectors are addressed using Vector AutoRegressive models. The model results are computed either considering or not considering the effects of the pandemic. The comparison to established pre-pandemic trends allows for validating the robustness of the selected model. The anticipated effect of the pandemic to 2040 shows a long-term reduction by 3% to 10%, according to the different subsector, in the industrial energy service demand. When the computed service demands are used as input to the TIMES-Italy model, which shows good capability to reproduce the energy consumption of the industrial sectors in the period 2006–2020, the impact of the pandemic on energy consumption forecasts can be assessed in a business-as-usual scenario. The results show how the long-term effects of the shock caused by the pandemic could lead, by 2040, to a total industrial energy consumption 5% lower than what was foreseen before the pandemic, while the energy mix remains almost unchanged.

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Short-and long-term effects of GDP, energy consumption, FDI, and trade openness on CO2 emissions

Accounting ◽

10.5267/j.ac.2020.1.002 ◽

2020 ◽

pp. 365-372 ◽

Cited By ~ 3

Author(s):

Thi Van Trang Do ◽

Hong Linh Dinh

Keyword(s):

Energy Consumption ◽

Co2 Emissions ◽

Trade Openness ◽

Long Term Effects ◽

Short And Long Term

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Reducing energy consumption and increasing filter life in HVAC systems using an aspiration efficiency reducer: Long-term performance assessment at full-scale

Journal of Building Engineering ◽

10.1016/j.jobe.2017.06.014 ◽

2017 ◽

Vol 12 ◽

pp. 267-274 ◽

Cited By ~ 4

Author(s):

David T. Morgan ◽

Terence Daly ◽

John Gallagher ◽

Aonghus McNabola

Keyword(s):

Energy Consumption ◽

Performance Assessment ◽

Hvac Systems ◽

Full Scale ◽

Filter Life ◽

Aspiration Efficiency ◽

Long Term Performance ◽

Term Performance ◽

Reducing Energy

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Ovarian Dysfunction in Fetally Irradiated Beagles

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100080717 ◽

1977 ◽

Vol 35 ◽

pp. 658-659

Author(s):

T. M. Seed ◽

M. H. Sanderson ◽

D. L. Gutzeit ◽

T. E. Fritz ◽

D. V. Tolle ◽

...

Keyword(s):

Gamma Rays ◽

Low Dose ◽

Long Term Effects ◽

Ovarian Dysfunction ◽

Dose Rates ◽

Highly Sensitive ◽

Microscopic Evaluation ◽

Ovarian Pathology ◽

Normal Offspring

The developing mammalian fetus is thought to be highly sensitive to ionizing radiation. However, dose, dose-rate relationships are not well established, especially the long term effects of protracted, low-dose exposure. A previous report (1) has indicated that bred beagle bitches exposed to daily doses of 5 to 35 R 60Co gamma rays throughout gestation can produce viable, seemingly normal offspring. Puppies irradiated in utero are distinguishable from controls only by their smaller size, dental abnormalities, and, in adulthood, by their inability to bear young.We report here our preliminary microscopic evaluation of ovarian pathology in young pups continuously irradiated throughout gestation at daily (22 h/day) dose rates of either 0.4, 1.0, 2.5, or 5.0 R/day of gamma rays from an attenuated 60Co source. Pups from non-irradiated bitches served as controls. Experimental animals were evaluated clinically and hematologically (control + 5.0 R/day pups) at regular intervals.

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Ultrastructural investigations of MDL 19,660-induced effects on the canine platelet and megakaryocyte

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100159412 ◽

1990 ◽

Vol 48 (3) ◽

pp. 374-375

Author(s):

D.E. Loudy ◽

J. Sprinkle-Cavallo ◽

J.T. Yarrington ◽

F.Y. Thompson ◽

J.P. Gibson

Keyword(s):

Antidepressant Drug ◽

Beagle Dogs ◽

Long Term Effects ◽

Short Term ◽

Platelet Counts ◽

Toxicological Studies ◽

Induced Aggregation ◽

Internal Architecture

Previous short term toxicological studies of one to two weeks duration have demonstrated that MDL 19,660 (5-(4-chlorophenyl)-2,4-dihydro-2,4-dimethyl-3Hl, 2,4-triazole-3-thione), an antidepressant drug, causes a dose-related thrombocytopenia in dogs. Platelet counts started to decline after two days of dosing with 30 mg/kg/day and continued to decrease to their lowest levels by 5-7 days. The loss in platelets was primarily of the small discoid subpopulation. In vitro studies have also indicated that MDL 19,660: does not spontaneously aggregate canine platelets and has moderate antiaggregating properties by inhibiting ADP-induced aggregation. The objectives of the present investigation of MDL 19,660 were to evaluate ultrastructurally long term effects on platelet internal architecture and changes in subpopulations of platelets and megakaryocytes.Nine male and nine female beagle dogs were divided equally into three groups and were administered orally 0, 15, or 30 mg/kg/day of MDL 19,660 for three months. Compared to a control platelet range of 353,000- 452,000/μl, a doserelated thrombocytopenia reached a maximum severity of an average of 135,000/μl for the 15 mg/kg/day dogs after two weeks and 81,000/μl for the 30 mg/kg/day dogs after one week.

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