Algorithm for calculation and selection of micro hydropower plant taking into account hydrological parameters of small watercourses mountain rivers of Central Asia

Author(s):  
M.S. Asanov ◽  
M. Kh Safaraliev ◽  
T. Zh Zhabudaev ◽  
S.M. Asanova ◽  
S.E. Kokin ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tormod Haraldstad ◽  
Thrond O. Haugen ◽  
Esben M. Olsen ◽  
Torbjørn Forseth ◽  
Erik Höglund

AbstractRenewable energy projects such as hydropower facilities contribute towards meeting the world`s growing energy demands and urgent need for mitigating climate change. However, such infrastructure has the potential to substantially alter the environment which, in turn, can induce new challenges related to for instance fish migration conditions. As a consequence, local adaptations related to pre-development migration conditions may be affected for influenced populations. To explore selection regimes operating at a river hydropower plant, we monitored Atlantic salmon smolt individuals during their seaward migration. When passing the hydropower plant, the smolts chose between a surface fish passage or a submerged turbine intake. Smolts were scored for behavioural type (basal locomotor activity, net restrain (a measure of escape responses) and willingness to leave a familiar environment) prior to their migration choice, and we found that smolts with high basal activity had higher probability of using the fish passage than the turbine intake. In addition, migration route choice was a partly consistent trait in that fish that had previously passed a hydroelectric facility by using a fish passage rather than the turbine intake were significantly more likely to use it again when faced with the same choice. Higher mortality among turbine migrants could potentially reduce or eliminate particular behaviour types within populations- and the corresponding population genetic diversity that is essential to cope with future environmental challenges.


2013 ◽  
Vol 21 (10) ◽  
pp. 1146-1151 ◽  
Author(s):  
Laure Ségurel ◽  
Frederic Austerlitz ◽  
Bruno Toupance ◽  
Mathieu Gautier ◽  
Joanna L Kelley ◽  
...  

2016 ◽  
Vol 9 (1) ◽  
pp. 152
Author(s):  
Burak Omer Saracoglu

Purpose: The electricity demand in Turkey has been increasing for a while. Hydropower is one of the major electricity generation types to compensate this electricity demand in Turkey. Private investors (domestic and foreign) in the hydropower electricity generation sector have been looking for the most appropriate and satisfactory new private hydropower investment (PHPI) options and opportunities in Turkey. This study aims to present a qualitative multi-attribute decision making (MADM) model, that is easy, straightforward, and fast for the selection of the most satisfactory reasonable PHPI options during the very early investment stages (data and information poorness on projects).Design/methodology/approach: The data and information of the PHPI options was gathered from the official records on the official websites. A wide and deep literature review was conducted for the MADM models and for the hydropower industry. The attributes of the model were identified, selected, clustered and evaluated by the expert decision maker (EDM) opinion and by help of an open source search results clustering engine (Carrot2) (helpful for also comprehension). The PHPI options were clustered according to their installed capacities main property to analyze the options in the most appropriate, decidable, informative, understandable and meaningful way. A simple clustering algorithm for the PHPI options was executed in the current study. A template model for the selection of the most satisfactory PHPI options was built in the DEXi (Decision EXpert for Education) and the DEXiTree software.Findings: The basic attributes for the selection of the PHPI options were presented and afterwards the aggregate attributes were defined by the bottom-up structuring for the early investment stages. The attributes were also analyzed by help of Carrot2. The most satisfactory PHPI options in Turkey in the big options data set were selected for each PHPI options cluster by the EDM evaluations in the DEXi.Originality/value: The recommended DEXi PHPI selection model by the search results clustering engine within a country wise case offered the possibility of easy, meaningful and satisfying continental or worldwide applications for the private investors and the international financial institutions such as the African Development Bank, or the World Bank was the main contribution.


2016 ◽  
Vol 23 (3) ◽  
pp. 413-424 ◽  
Author(s):  
Małgorzata Kijowska-Strugała ◽  
Łukasz Wiejaczka ◽  
Rafał Kozłowski

Abstract The aim of the analysis was to demonstrate the role of reservoirs in shaping nutrient content (nitrates NO3- and phosphates PO43- as well as ammonia NH4+) in the waters of mountain rivers. Three Carpathian rivers with reservoirs in their courses were selected for the study: the Ropa River (Klimkowka reservoir), the Dunajec River (the Czorsztyn-Sromowce Wyzne reservoir complex) and the Raba River (Dobczyce reservoir). The basic criteria for the selection of the study objects for the investigation were: similar hydrological regime of the rivers and diverse parameters and functions of the storage reservoirs. The analysis of nutrient concentration was based on a long-term series of measurements (2004-2013). The reservoirs investigated generally contribute to an increase in nitrates in the rivers flowing below the reservoirs in particular months. The role of reservoirs in shaping phosphate and ammonia levels was not as evident as in the case of nitrates. The reservoirs are merely one of numerous factors that contribute to nutrient levels in the water of the mountains rivers. In the light of the analysis of nutrient concentrations in the surface water tested, it may be concluded that the reservoirs do not cause a clear and permanent deterioration of river water quality.


2015 ◽  
Vol 8 (4) ◽  
pp. 294-303 ◽  
Author(s):  
Binaya Baidar ◽  
Sailesh Chitrakar ◽  
Ravi Koirala ◽  
Hari Prasad Neopane

2020 ◽  
Vol 3 (9) ◽  
pp. 14-23
Author(s):  
Abdul Mu’iz Ahmad ◽  
Taj Rijal Muhamad Romli

According to Koharudin (2004, No. 3, p. 56, Dalam M. Hisyam, Mikdar & Dawilah, 2012), ‘Kitab Jawi’ also known as ‘Kitab Kuning’. In the early 20th century, the word ‘Yellow’ was called because the color of the paper of the book was yellow and the original paper material for printing came from Central Asia. In addition, the technique of translating the old or yellow Kitab is still in an old form which is a literal translation. Therefore, this research was conducted to analyse the translation from Chapter of Prayer in ‘Kitab Bahrul Mazi’. The researcher used qualitative data with a selection of 10 out of 88 ‘Bab Hadis’ which contain in the Kitab. Eugene Nida’s Theory (1964) was used as a guide to be developing a research framework that aimed to analyse the alternative methods which are suitable for the Kitab. Because of that, this study is expected to make it easier for the readers especially to understand the method of translation and to be able to practice the teachings of the Prophet Muhammad correctly and faithfully.


2020 ◽  
Vol 11 (2) ◽  
pp. 126
Author(s):  
Andriati Fitriningrun ◽  
Andrey Hasiholan Pulungan ◽  
Gilang Fajar Wijayanto

<p align="center"><em>The purpose of this study is to examine the impact of Merger and Acquisition (M&amp;A) wave on constructing the capital structure. The conflict of government policies to assist the Small Medium Enterprises (SMEs) is in conflict with the other regulation which requires banks to meet the minimum Net Performing Loan (NPIL). This situation encourages the emergence of M&amp;A wave in Indonesia. Numbers of banks do M&amp;A as the option to accommodate the government regulations. Using the case of PT Central Sentosa Finance (CSF) acquisition by PT Bank Central Asia (BCA), this study examines the M&amp;A impacts on the bidder’s capital structure when the acquisition due to the wave and government policy. The quantitative method is used to examine the impact of M&amp;A on the company’s capital structure focusing the 2014 acquisition. The study contributes to the accounting in the area of transparency and capital issues. The statistical results show that the potential policies conflict drives the company to prioritize the selection of funding.</em></p><p><em> </em></p>


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