Methodology and preliminary results

Friedrich, Ralf P.

doi:10.1007/978-3-658-19771-1_5

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…For this purpose, we calculated the average external costs per MWh produced for each generation technology based on data from Krewitt and Schlomann (2006), Hohmeyer (2002) Enquete Kommission (1995Kommission ( , 2002, Friedrich (2005) and Braun (2004). These external costs are then multiplied by the production volumes of the corresponding power plant technologies in each policy scenario.…”

Section: Figure 318 Comparison Of Subsidies Across Policy Scenariosmentioning

confidence: 99%

“…We regard this assumption to be valid as the size of the markup depends on the ratio of available generation capacity and demand (Sensfuß et al, 2008). Furthermore, we assume a discount rate of 7.14% (Enervie, 2014) (1995,2002), Friedrich (2005) and Braun (2004). Table 4.1.…”

Section: Datamentioning

confidence: 99%

“…These costs refer to the environmental and health damages associated with the respective electricity generation technology borne by third parties. We calculate the average external costs per MWh based on data from Krewitt and Schlomann (2006), Hohmeyer (2002), Enquete Kommission (1995Kommission ( , 2002, Friedrich (2005) and Braun (2004). Table 5.1 provides an overview of the external costs assumed in our simulations.…”

Section: Datamentioning

confidence: 99%

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Economics of sustainable electricity supply: The German electricity market

Coester¹

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The industrial activities that our modern civilization depends upon have increased CO2 and other greenhouse gas emissions significantly. There is considerable consensus that this increase in emissions has been contributing to climate change. In order to limit global warming, a comprehensive and fast transition to lower emissions in all industrial sectors is crucial. Despite the strong increase in renewable energies capacity over the past years, there are various challenges associated with the further transition to a 100% renewable energies supply. One of the challenges is the fluctuating supply of renewable energies due to the intermitted nature of wind and sunshine. Another challenge arises from the low marginal costs of renewable energies that lead to a reduction of the electricity price, which impairs a profitable operation of both conventional and renewable energies power plants. Against this backdrop, the main question of this research is which policy scenario can ensure an economic efficient and ongoing expansion of renewable energies together with a secure level of electricity supply? The research focusses on Germany, as Germany has to find sustainable and economically feasible policy scenarios in the short-term due to its strong expansion of renewable energies and its decision to phase-out both nuclear and coal power plants.

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Section: Figure 318 Comparison Of Subsidies Across Policy Scenariosmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

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Economics of sustainable electricity supply: The German electricity market

Coester¹

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In Silico Analysis of Some Phytochemicals as Potent Anti-tubercular Agents Targeting <em>Mycobacterium tuberculosis</em> RNA Polymerase and InhA Protein

Emran¹,

Rahman²,

Anika³

et al. 2020

Preprint

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Tuberculosis (TB) is a contagious disease, caused by Mycobacterium tuberculosis (MTB) that has infected and killed a lot of people in the past. At present treatments against TB are available at a very low cost. Since these chemical drugs have many adverse effects on health, more attention is now given on the plant-derived phytochemicals as potential agents to fight against TB. In this study, 5 phytochemicals, 4-hydroxybenzaldehyde, benzoic acid, bergapten, psoralen, and p-hydroxybenzoic acid, are selected to test their potentiality, safety, and efficacy against two potential targets, the MTB RNA polymerase and enoyl-acyl carrier protein (ACP) reductase, the InhA protein, using various tools of in silico biology. The molecular docking experiment, drug-likeness property test, ADME/T-test, P450 SOM prediction, pharmacophore mapping, and modeling, solubility testing, DFT calculations, and PASS prediction study had confirmed that all the molecules had the good potentiality to inhibit the two targets. However, two agents, 4-hydroxybenzaldehyde and bergapten were considered as the best agents among the five selected agents and they also showed far better results than the two currently used drugs, that function in these pathways, rifampicin (MTB RNA polymerase) and isoniazid (InhA protein). These two agents can be used effectively to treat tuberculosis.

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Methodology and preliminary results

Cited by 2 publications

References 4 publications

Economics of sustainable electricity supply: The German electricity market

Economics of sustainable electricity supply: The German electricity market

In Silico Analysis of Some Phytochemicals as Potent Anti-tubercular Agents Targeting <em>Mycobacterium tuberculosis</em> RNA Polymerase and InhA Protein

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