A Simulation-Based Analysis of Electricity Access in Uganda

2015 ◽  
Vol 4 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Donna Lillian Namujju ◽  
Gönenç Yücel ◽  
Erik Pruyt ◽  
Richard Okou

Access to power is tied to a country's development. It facilitates improved social welfare, education, health and income generating opportunities. Uganda's economy is stifled by its low electrification rates - 16% nationally. This study builds a working theory on the internal setup of Uganda's power sector utilizing this theory to surface influential behavior modes as they pertain to power generation and supply and how these ultimately affect electricity access. Based on this working theory a System Dynamics simulation model is built. The model simulations show how Uganda's power sector is expected to evolve over 80 years in terms of power supply and demand given existing market structure and prevailing conditions. The study finds major problems in the nature of power accessed specifically an insufficient and unreliable power supply. The root cause is found in the nature of the existing capacity planning process in terms of how future capacity requirements are determined and the agreements made with generators as to how and when they fulfill their investment obligations.

2020 ◽  
Author(s):  
Lim Heo ◽  
Collin Arbour ◽  
Michael Feig

Protein structures provide valuable information for understanding biological processes. Protein structures can be determined by experimental methods such as X-ray crystallography, nuclear magnetic resonance (NMR) spectroscopy, or cryogenic electron microscopy. As an alternative, in silico methods can be used to predict protein structures. Those methods utilize protein structure databases for structure prediction via template-based modeling or for training machine-learning models to generate predictions. Structure prediction for proteins distant from proteins with known structures often results in lower accuracy with respect to the true physiological structures. Physics-based protein model refinement methods can be applied to improve model accuracy in the predicted models. Refinement methods rely on conformational sampling around the predicted structures, and if structures closer to the native states are sampled, improvements in the model quality become possible. Molecular dynamics simulations have been especially successful for improving model qualities but although consistent refinement can be achieved, the improvements in model qualities are still moderate. To extend the refinement performance of a simulation-based protocol, we explored new schemes that focus on an optimized use of biasing functions and the application of increased simulation temperatures. In addition, we tested the use of alternative initial models so that the simulations can explore conformational space more broadly. Based on the insight of this analysis we are proposing a new refinement protocol that significantly outperformed previous state-of-the-art molecular dynamics simulation-based protocols in the benchmark tests described here. <br>


Author(s):  
Sam Amadi

In Nigeria, an estimated 170 million people depend on less than 4,000 megawatts of electricity from the grid for economic and social needs. Since 2000 the country has embarked on an ambitious power sector reform programme, the main objective of which is to ensure adequate, available, and reliable electricity. The power sector reform adopts a neo-liberal development model that is based on the triple strategy of liberalization, commercialization, and privatization. This strategy has relied heavily on the reform of the existing legal regime of state institutions so as to attract foreign private capital to increase capacity, expand connection, and improve reliability. This chapter reviews the incompletely theorized neo-liberal assumptions in the reform policies and shows how these assumptions have undermined the efficacy of legal reform in the electricity industry and resulted in failed expectation.


Buildings ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Ádám László Katona ◽  
István Ervin Háber ◽  
István Kistelegdi

A huge portion of energy consumption in buildings comes from heating, ventilation, and air conditioning. Numerous previous works assessed the potential of natural ventilation compared to mechanical ventilation and proved their justification on the field. Nevertheless, it is a major difficulty to collect enough information from the literature to make decisions between different natural ventilation solutions with a given situation and boundary conditions. The current study tests the passive air conduction system (PACS) variations in the design phase of a medium-sized new winery’s cellar and production hall in Villány, Hungary. A computational fluid dynamics simulation based comparative analysis enabled to determine the differences in updraft (UD) and downdraught (DD) PACS, whereby the latter was found to be more efficient. While the DD PACS performed an air change range of 1.02 h−1 to 5.98 h−1, the UD PACS delivered −0.25 h−1 to 12.82 h−1 air change rate. The ventilation performance of the DD version possessed lower amplitudes, but the distribution was more balanced under different wind incident angles, thus this version was chosen for construction. It could be concluded that the DD PACS provides a more general applicability for natural ventilation in moderate climates and in small to medium scale industry hall domains with one in- and one outlet.


2012 ◽  
Vol 503-504 ◽  
pp. 731-734
Author(s):  
Xiao Xu Liu ◽  
Min Chen ◽  
Ai Hua Tang

The engine model with 4 cylinders is built by SolidWorks, the kinematics and dynamics simulations of the engine virtual prototype are done by COSMOSMotion, the results of kinematics simulation are checked, there are very small errors between the simulation results and the calculation results according to formulas. The mainly results of dynamics simulation are given. The simulation result consists with the parameters of the engine.


2021 ◽  
Vol 111 (07-08) ◽  
pp. 559-564
Author(s):  
Alexander Mages ◽  
Ekrem Köse ◽  
Alexander Sauer

Mit der Erweiterung eines Produktionssystems um eine zusätzliche Produktionsanlage steht das Unternehmen vor der Frage, welche Energieströme zur Verfügung gestellt werden müssen und ob die Energieversorgung der Fabrik ausreichende Kapazitäten vorweisen kann. Dieser Beitrag stellt ein strukturiertes Vorgehen vor, wie diese Fragen aus energetischer Perspektive in einem frühen Planungsprozess adressiert werden können. Anhand der Methode werden die relevanten Rahmenbedingungen identifiziert und es wird aufgezeigt, welche Messdaten der Energieerzeuger nötig sind, um eine energetische Bewertung durchführen zu können. &nbsp; Before including an additional production plant, a manufacturing company has to identify what energy flows need to be made available and whether the capacity of the factory‘s power supply system is sufficient. This paper presents a structured approach to address these issues from an energy perspective in an early planning process. This method helps to identify the factory framework and shows what measurement data are required to carry out an energetic evaluation of the available energy generators.


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