Hydropower plant site spotting using geographic information system and a MATLAB based algorithm

Serpoush, Behrad; Khanian, Mojtaba; Shamsai, Abolfazl

doi:10.1016/j.jclepro.2017.03.095

Cited by 17 publications

(11 citation statements)

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“…There is a significant number of studies that assess the potential of hydropower using GIS based approaches [31,[34][35][36][37][38][39][40][41][42][43][44][45][46][47]. The majority of these studies however, are focused on a particular hydrological unit (basin, sub-basin) or on a country level.…”

Section: Scope Of the Studymentioning

confidence: 99%

“…In addition to that, the addition of a geo-spatial component in such assessments can help answering questions regarding proper site selection and lead to better allocation of (usually) scarce financial resources.Geographic Information Systems (GIS) and modern remote sensing techniques convey useful information that can add significant value in hydropower assessments. Their integration can provide useful insights to policy makers and developers regarding the future deployment and spatial distribution of distributed generation systems, including among them new hydropower plants [20].There is a significant number of studies that assess the potential of hydropower using GIS based approaches [31,[34][35][36][37][38][39][40][41][42][43][44][45][46][47]. The majority of these studies however, are focused on a particular hydrological unit (basin, sub-basin) or on a country level.…”

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confidence: 99%

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A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa

et al. 2018

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Sub-Saharan Africa has been at the epicenter of an ongoing global dialogue around the issue of energy poverty. More than half of the world's population without access to modern energy services lives there. It also happens to be a sub-continent with plentiful renewable energy resource potential. Hydropower is one of them, and to a large extent it remains untapped. This study focuses on the technical assessment of small-scale hydropower (0.01-10 MW) in Sub-Saharan Africa. The underlying methodology was based on open source geospatial datasets, whose combination allowed a consistent evaluation of 712,615 km of river network spanning over 44 countries. Environmental, topological, and social constraints were included in the form of constraints in the optimization algorithm. The results are presented on a country and power pool basis.Energies 2018, 11, 3100 of 21Recent studies indicate that the decentralization (typically of a scale less than 10 MW) of energy systems can help in addressing energy poverty [9][10][11][12][13][14]. Off-grid or mini-grid systems can be a viable near-term alternative to grid extension in many parts of Sub-Saharan Africa [15]. The prospect for decentralized energy supplies are further enhanced by the continent's abundant renewable resources. Further, the local employment is developed for deployment and maintenance of local renewable electricity generating equipment [5]. A cornerstone in the movement towards renewables is hydropower [16,17]. Role of HydropowerHydropower is a technically mature and economically competitive renewable energy source that can provide significant advantages in the operations and stability of energy systems [16]. Across Africa, hydropower is responsible for 74.2% of all non-fossil fuel electricity use [18]. In 2017 the total installed hydropower capacity in Africa was 35.34 GW [16], producing approximately 131 TWh of electricity; hydropower accounts for about 21% of the total installed capacity in the continent [16,18,19]. Focusing on Sub-Saharan Africa, the installed hydropower capacity (as in 2017) was estimated at 30.4 GW [16]. Despite this, around 92% of the 300 GW potential still remains untapped [20].The opportunities for expanding hydropower are considerable and could help support electricity provision in remote African communities, especially when developed in a small, decentralized scale [21,22]. Given favorable hydrological conditions, hydropower offers a relatively low levelized cost, continuous generation without storage requirements, and the ability to operate both in isolated or interconnected (to a national grid) mode [23]. It is estimated that the installed capacity of small-scale hydropower (below 10 MW) in Sub-Saharan Africa surpasses 476 MW [24,25].According to [21,24], the small-scale hydropower resource potential in the region is estimated at 12,197 MW, with the eastern part of the continent showing the highest potential. Szabo et al. [9] consider small-scale hydro as a very suitable option for rural electrification in Africa, showing high poten...

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Section: Scope Of the Studymentioning

confidence: 99%

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confidence: 99%

A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa

et al. 2018

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“…Another GIS-based DEM is proposed by Kusre et al [9] which use a hydrologic model to assess water resource utilization under different site candidates. Similar works can be referred to Serpoush et al [10], Zaidi and Khan [11], etc. Besides the above assessment models, the optimization technique becomes another alternative in recent years.…”

Section: Introductionmentioning

confidence: 55%

Planning of Cascade Hydropower Stations with the Consideration of Long‐Term Operations under Uncertainties

Wang

Chen

2019

Complexity

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In the location-related planning of a hydropower system, the consideration of future operations under uncertainties can make the decisions sustainable and robust. Then, it is of great importance to develop an effective approach that deals with the long-term stochasticity due to the long-lasting effects of the location selections. Thus, we propose a multistage stochastic programming model to optimize the planning decisions of cascade hydropower stations and the long-term stochastic operations in an integrated way. The first stage (i.e., the planning stage) in the model deals with the location and capacity decisions of the hydropower stations, while the subsequent stages implement the scheduling decisions under each stagewise stochastic scenario. To address the curse of dimensionality caused by the long-term stochastic operations, we further propose a novel dimensionality reduction approach based on dual equilibrium to transform the multistage model into a tractable two-stage stochastic program. The applicability of our approach is validated by a case study based on a basin of Yangtze River, China, and corresponding sensitivity analysis.

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“…For this reason, in some other studies, some other indices were proposed, including the organization's ability to react on risk [76], degree of the uncertainty of estimate [77,78], and the speed of risk handling [79], probability, and amount of the effect on project cost, time, and quality in risks ranking [80]. In addition, complementary indices of manageability and the likelihood of the risk occurrence [81], social-economic effects, and environmental effects [82] were used.…”

Section: Risk Assessment Indicatorsmentioning

confidence: 99%

Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

et al. 2020

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Failure mode and effects analysis (FMEA) is a popular technique in reliability analyses. In a typical FMEA, there are three risk factors for each failure modes: Severity (S), occurrence (O), and detectability (D). These will be included in calculating a risk priority number (RPN) multiplying the three aforementioned factors. The literature review reveals some noticeable efforts to overcome the shortcomings of the traditional FMEA. The objective of this paper is to extend the application of FMEA to risk management for agricultural projects. For this aim, the factor of severity in traditional FMEA is broken down into three sub-factors that include severity on cost, the severity on time, and severity on the quality of the project. Moreover, in this study, a fuzzy technique for order preference by similarity to ideal solution (TOPSIS) integrated with a fuzzy analytical hierarchy process (AHP) was used to address the limitations of the traditional FMEA. A sensitivity analysis was done by weighing the risk assessment factors. The results confirm the capability of this Hybrid-FMEA in addressing several drawbacks of the traditional FMEA application. The risk assessment factors changed the risk priority between the different projects by affecting the weights. The risk of water and energy supplies and climate fluctuations and pests were the most critical risk in agricultural projects. Risk control measures should be applied according to the severity of each risk. Some of this research’s contributions can be abstracted as identifying and classifying the risks of investment in agricultural projects and implementing the extended FMEA and multicriteria decision-making methods for analyzing the risks in the agriculture domain for the first time. As a management tool, the proposed model can be used in similar fields for risk management of various investment projects.

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Hydropower plant site spotting using geographic information system and a MATLAB based algorithm

Cited by 17 publications

References 20 publications

A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa

A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa

Planning of Cascade Hydropower Stations with the Consideration of Long‐Term Operations under Uncertainties

Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

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