Optimally sizing small hydropower project under future projected flows

Yousuf, Irfan; Ghumman, Abdul Razzaq; Hashmi, Hashim Nisar

doi:10.1007/s12205-016-1043-y

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…SimCLIM 4.0 uses multiple model ensembles for reliable climate projections (Yin et al ., 2013). SimCLIM has been widely used globally for precipitation downscaling and projections for RCPs (Taylor et al ., 2012; IPCC, 2014; Yousuf et al ., 2016). It has also been used for projecting precipitation and temperature in Pakistan (Amin et al ., 2016; 2017; 2018; Nasim et al ., 2018) and Bangladesh (Rahman and Rob, 2019).…”

Section: Introductionmentioning

confidence: 99%

Future precipitation projection in Bangladesh using SimCLIM climate model: A multi‐model ensemble approach

Islam

Shahid

et al. 2022

Intl Journal of Climatology

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Appraisal of the long-term precipitation trends and variability is crucial for sustainable water resources management. This research intended to evaluate Bangladesh's monthly, seasonal, and annual spatiotemporal rainfall variability using 40 global climate models for two representative concentration pathways (RCPs), RCP4.5 and RCP8.5. Statistical downscaling climate model (SimCLIM) was used for downscaling and ensemble projection of rainfall in near (2011-2040), middle (2041-2070), and far (2071-2100) futures. Modified Mann-Kendall test was applied to detect future rainfall trends. The results revealed a significant increasing trend in rainfall in near and middle futures for RCP4.5 and in all three future periods for RCP8.5 at all meteorological stations of Bangladesh during significant rainfall months (May-October). The results also showed a decreasing trend in rainfall in dry months (December-January) at many stations. The highest increase in rainfall was projected in June at a rate of 0.10-1.11 mmÁyear −1 for RCP4.5 and 3.34-4.98 mmÁyear −1 for RCP8.5 in different future periods. Monsoon rainfall showed the highest increase, and winter rainfall the lowest increase for all RCPs and future periods. The increase in annual precipitation over Bangladesh was projected 2.76-5.98% in three future periods for RCP4.5 and 6.98-26.

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Section: Introductionmentioning

confidence: 99%

Future precipitation projection in Bangladesh using SimCLIM climate model: A multi‐model ensemble approach

Islam

Shahid

et al. 2022

Intl Journal of Climatology

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“…The engineers' analyses emphasized not only the energy generation potential but also the need for equitable water distribution among the river basin's countries. Yousuf I (2017) [8] focused on evaluating the sustainability of expanding hydropower in Scandinavia, this study gathered data on river ecosystems, fish migration patterns, and local climate conditions over 15 years. Civil engineers collaborated with environmental scientists to develop models predicting the impact of additional hydropower plants on the region's aquatic ecosystems.…”

Section: Planning and Feasibility Studiesmentioning

confidence: 99%

The role of civil engineers in large-scale hydropower projects

Pujari,

Dhamala

2023

Int. J. Hydropower Civ. Eng.

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Large-scale hydropower projects are a cornerstone in the quest for sustainable and renewable energy sources. These projects are complex and multifaceted, requiring the expertise of various professionals, among whom civil engineers play a pivotal role. This article explores the contributions of civil engineers in the planning, design, construction, and maintenance of large-scale hydropower projects, underscoring their impact on ensuring project efficiency, sustainability, and environmental compatibility.

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“…where Q 30SFGn,y is the Q 30 in the SFG n for the year y, A i is the drainage area of the reach i, A SFGn is the drainage area of the SFG n and Q 30i,y is the discharge at reach i for the year y. The Q 30 is the typical and recommended flow select for design hydropower plants [37,38].…”

Section: Estimation Of Discharge In Each River Reachmentioning

confidence: 99%

Impacts of Climate Change and Climate Variability on Hydropower Potential in Data-Scarce Regions Subjected to Multi-Decadal Variability

et al. 2019

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To achieve sustainable development of hydroelectric resources, it is necessary to understand their availability, variability, and the expected impacts of climate change. Current research has mainly focused on estimating hydropower potential or determining the optimal locations for hydropower projects without considering the variability and historical trends of the resources. Herein, the hydropower potential variability from reconstructed streamflow series estimated with a non-parametric gap-filling method and geographic information systems (GIS) techniques are analyzed. The relationships between hydropower and large-scale climate variability, expressed by sea surface temperature, are explored. Finally, we project hydropower potential through 2050 using 15 global circulation models with representative concentration pathway (RCP) 4.5. We used four watersheds in central Chile as a case study. The results show significant interannual and inter-basin hydropower potential variability, with decreasing trends over time modulated by alternating positive and negative decadal trends; these modulations exhibit greater intensities than the general trends and are attributable to climatic oscillations such as El Niño. Future scenarios indicate high hydropower availability and a possible over-investment in hydroelectric plants in two of the four studied watersheds. Results show the need to improve the current policies that promote hydropower development including hydropower resource variability in order to achieve optimal, sustainable hydropower development worldwide.

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Optimally sizing small hydropower project under future projected flows

Cited by 11 publications

References 30 publications

Future precipitation projection in Bangladesh using SimCLIM climate model: A multi‐model ensemble approach

Future precipitation projection in Bangladesh using SimCLIM climate model: A multi‐model ensemble approach

The role of civil engineers in large-scale hydropower projects

Impacts of Climate Change and Climate Variability on Hydropower Potential in Data-Scarce Regions Subjected to Multi-Decadal Variability

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