Stochastic modelling of variable renewables in long-term energy models: Dataset, scenario generation & quality of results

Adolescent soccer players experience many stressors and negative stress-related outcomes. Short-term stress-prevention programs are frequently implemented in youth sports, although there is limited evidence of their usefulness and effectiveness. Thus, the present study evaluated the usefulness and effectiveness of a stress-prevention workshop for adolescent soccer players. Ninety-two soccer players (age: M = 15.5 years, SD = 1.43; 31.5% female) were randomly allocated to either an intervention group or an intervention control group. To evaluate effectiveness, stress, coping, and depression were assessed at baseline (t1) and 4 weeks postworkshop (t2). To investigate usefulness, the perceived quality of results was assessed at t2. No intervention effects on stress, coping, and depression emerged, but both groups exhibited high values regarding perceived quality of results. Although one workshop might not be enough to modify stress-related parameters, it may be useful for adolescent soccer players and pave the way for long-term interventions.

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The scope for better industry representation in long-term energy models: Modeling the cement industry

Applied Energy ◽

10.1016/j.apenergy.2019.01.252 ◽

2019 ◽

Vol 240 ◽

pp. 964-985 ◽

Cited By ~ 12

Author(s):

Katerina Kermeli ◽

Oreane Y. Edelenbosch ◽

Wina Crijns-Graus ◽

Bas J. van Ruijven ◽

Silvana Mima ◽

...

Keyword(s):

Cement Industry ◽

Energy Models ◽

Term Energy

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Comparing projections of industrial energy demand and greenhouse gas emissions in long-term energy models

Energy ◽

10.1016/j.energy.2017.01.017 ◽

2017 ◽

Vol 122 ◽

pp. 701-710 ◽

Cited By ~ 35

Author(s):

O.Y. Edelenbosch ◽

K. Kermeli ◽

W. Crijns-Graus ◽

E. Worrell ◽

R. Bibas ◽

...

Keyword(s):

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Energy Demand ◽

Gas Emissions ◽

Energy Models ◽

Industrial Energy ◽

Term Energy

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Evaluation and Validation

Embedded Systems - Embedded System Design ◽

10.1007/978-3-030-60910-8_5 ◽

2021 ◽

pp. 239-293

Author(s):

Peter Marwedel

Keyword(s):

Pareto Optimality ◽

Execution Time ◽

Statistical Models ◽

Design Procedure ◽

Worst Case ◽

Quality Of Results ◽

Fault Trees ◽

Energy Models ◽

Worst Case Execution Time

AbstractDuring the design procedure, we have to check repeatedly whether or not the system under design is likely to perform its function and to satisfy all relevant design objectives. This is the purpose of validations and evaluations which must be performed during the design process. This chapter starts with a presentation of techniques for the evaluation of (partial) designs with respect to objectives. In particular, we consider (worst case) execution time, quality of results, thermal behavior, and dependability as objectives. We provide an introduction into fundamental techniques for computing the worst case execution time. Examples of energy models will be presented in order to demonstrate the need for an adjustment of the level of model details to the particular application at hand. Thermal modeling is reduced to the problem of equivalent electrical modeling. With respect to dependability, an introduction to statistical models of reliability as well as an introduction to fault trees are included. As a means for relating results for the different objectives against each other, we introduce the concept of Pareto optimality. This chapter closes with hints regarding validation techniques, including simulation, rapid prototyping, and formal verification.

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Including smart charging and vehicle-to-grid strategies in long term energy models

2014 IEEE International Energy Conference (ENERGYCON) ◽

10.1109/energycon.2014.6850601 ◽

2014 ◽

Author(s):

Fabrizio Fattori ◽

Norma Anglani

Keyword(s):

Vehicle To Grid ◽

Energy Models ◽

Smart Charging ◽

Term Energy

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Stochastic modelling of phytoremediation

Proceedings of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rspa.2011.0209 ◽

2011 ◽

Vol 467 (2135) ◽

pp. 3188-3205 ◽

Cited By ~ 15

Author(s):

Stefano Manzoni ◽

Annalisa Molini ◽

Amilcare Porporato

Keyword(s):

Plant Biomass ◽

Rainfall Variability ◽

Stochastic Modelling ◽

Environmental Threat ◽

Stochastic Framework ◽

Rainfall Statistics ◽

Analytical Expressions

Leaching of heavy metals and other contaminants from soils poses a significant environmental threat as it affects the quality of downstream water bodies. Quantifying these losses is particularly important when employing phytoremediation approaches to reduce soil contamination, as contaminant escaping the system through leaching cannot be taken up by vegetation. Despite its undoubted importance, the role of such hydrologic forcing has seldom been fully considered in models describing the long-term contaminant mass balance during phytoremediation. The partitioning of contaminants between leaching and vegetation uptake is controlled by a number of biophysical processes as well as rainfall variability. Here, we develop a novel stochastic framework that provides analytical expressions to quantify the partitioning of contaminants between leaching and plant uptake and the probability of phytoremediation duration as a function of rainfall statistics and soil and vegetation characteristics. Simple expressions for the mean phytoremediation duration and effectiveness (defined as the fraction of contaminant that is recovered in plant biomass) are derived. The proposed framework can be employed to estimate under which conditions phytoremediation is more efficient, as well as to design phytoremediation projects that maximize contaminant recovery and minimize the duration of the remediation process.

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Pengaruh Pemberian Modisco Iii dengan Penambahan Kedelai terhadap Kadar Albumin pada Tikus Kekurangan Energi Protein

JURNAL GIZI DAN KESEHATAN ◽

10.35473/jgk.v12i1.76 ◽

2020 ◽

Vol 12 (1) ◽

pp. 11-18

Author(s):

Hasna Nur Afina ◽

Sugeng Maryanto

Keyword(s):

Univariate Analysis ◽

T Test ◽

Control Group ◽

Control Group Design ◽

Albumin Content ◽

Male Wistar Rats ◽

Term Energy ◽

Paired T Test

PEM is a condition where a person experiences a lack of long-term energy and protein intake. PEM is characterized by hypoalbuminemia and indigestion. Efforts to treat hypoalbuminemia sufferers by giving PMT in the form of soy formula. Before being given, it is necessary to test PER soybean modisco to see the quality of protein as well as digestibility of soy protein containing 40% vegetable protein and albumin of 2.25%. Some studies explain that soy can increase serum albumin levels in PEM infants with hypoalbuminemia. This research aims to determine the effect of modisco III supplementation with soybean on albumin content in PEM rats. This study used a randomized pretest posttest control group design. The research sample of 24 male Wistar rats. Data analysis using univariate analysis (description) and paired T-test. The average PER value of the four rations was relatively low PER <2.5. Giving modisco soybeans can increase albumin as much as 2.49 g / dl. The quality of protein from Modisco III with the addition of soybeans is included in the poor category. There was a significant effect of modisco III supplementation with soybean on PEM albumin levels. Abtrak : KEP merupakan kondisi dimana seseorang mengalami kekurangan asupan energi dan protein jangka panjang. KEP ditandai dengan kondisi hypoalbuminemia dan gangguan daya cerna. Upaya penanganan penderita hypoalbuminemia dengan pemberian PMT berupa formula kedelai. Sebelum diberikan perlu uji PER modisco kedelai untuk melihat mutu protein sekaligus daya cerna protein Kedelai mengandung protein nabati sebanyak 40% dan albumin sebesar 2,25%. Beberapa penelitian menjelaskan bahwa kedelai mampu meningkatkan kadar albumin serum pada balita KEP dengan hypoalbuminemia. Penelitian ini bertujuan untuk mengetahui pengaruh pemberian modisco III dengan penambahan kedelai terhadap kadar albumin pada tikus KEP. Penelitian ini menggunakan rancangan randomized pretest posttest control grup design. Sampel penelitian sebanyak 24 ekor tikus jantan wistar. Analisis data menggunakan Analisa univariat (deskripsi) dan paired T-test.. Rata-rata nilai PER keempat ransum tergolong rendah PER < 2,5. Pemberian modisco kedelai mampu meningkatkan albumin sebanyak 2,49 g/dl. Mutu protein dari Modisco III dengan penambahan kedelai termasuk dalam kategori kurang baik. Terdapat pengaruh yang bermakna pemberian modisco III dengan penambahan kedelai terhadap kadar albumin tikus KEP.

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Energy Performance Modelling and Consumption Forecasting in Built Environments

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f8350.079220 ◽

2020 ◽

Vol 9 (2) ◽

pp. 569-575

Keyword(s):

Energy Use ◽

Ghg Emissions ◽

Building Energy ◽

Energy Performance ◽

Policy Formulation ◽

Performance Modelling ◽

Energy Models ◽

Term Energy ◽

And Control

For all sector of the economy including the construction sector, energy consumption forecasting is critical for future planning. The building sector accounts for a staggering 30% of the world’s energy use and one-third of associated greenhouse gas (GHG) emissions worldwide. Modeling of building energy performance and consumption forecasting is significant for energy policy formulation, fixing targets and control energy usage to provide a long term energy security. Many energy models are accessible now, but the area is still under development and needs perfection on several counts. To select the most suitable and appropriate model for a specific purpose, it is often hard to evaluate the various models and their characteristics. This article provides a broad analysis of modeling methods, classification, and applications in constructed settings with an improved focus. A critical assessment of various models is also provided based on their composition, input-output relationships, strengths, and weaknesses to define study gaps and provide directions for future studies.

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