Cost-Benefit Analysis for Hydropower Production in Water Distribution Networks by a Pump as Turbine

2014 ◽  
Vol 140 (6) ◽  
pp. 04014002 ◽  
Author(s):  
Armando Carravetta ◽  
Oreste Fecarotta ◽  
Marco Sinagra ◽  
Tullio Tucciarelli
Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1486
Author(s):  
Francesco Pugliese ◽  
Francesco De Paola ◽  
Nicola Fontana ◽  
Gustavo Marini ◽  
Maurizio Giugni

In this work, a procedure for the optimal design of Pumps As Turbines in Water Distribution Networks was applied, aimed at both maximizing the hydropower generation and exploiting the excess pressure. The design of the main characteristic PAT parameters, namely the flow rate and the head drop at Best Efficiency Point, the rotational speed and the impeller’s diameter was assessed, under the hypothesis of applying the Electrical Regulation. The procedure allowed to estimate both the produced power and the exploited head at any simulated time-step, as well as the overall daily energy, in compliance with the hydraulic and technical constraints of the system. The model was tested on a simplified Water Distribution Network and a preliminary Cost-Benefit analysis was performed, showing interesting reliefs against short Payback Period.


2021 ◽  
Author(s):  
Robert Sitzenfrei ◽  
Lukas Schartner ◽  
Martin Oberascher

<p>The transition from fossil fuel to renewable energies represents the central challenge of the early 21st century. In this context, small hydro power systems (SHPS) can be implemented in water distribution networks (WDNs) to use pressure and drinking water surplus for hydropower production. However, inflow to SHPS is normally controlled based on the available water volume after ensuring a reliable drinking water supply and considering a fire-fighting reserve. Hence, the hydropower generation in WDNs has to be in accordance with its primary tasks. The challenge now is to optimally use the available pressure and water surplus for hydropower production while at the same time reliably fulfilling drinking water constraints.</p><p>In this work, future predictions of daily water demand are added into the control strategy of SHPS to optimize the operation. The control procedure of a SHPS is optimized by means of an evolutionary algorithm in combination with Monte-Carlo sampling. This is done for different categorized water demand and water source data in order to maximize profit while ensuring the WDNs reliable operation. Further, water demand forecasts of varying quality are evaluated in combination with previously optimized and categorized SHPS control-sets. For case study, a real WDN of an Alpine municipality is hypothetically retrofitted with a controllable SHPS. Different types of SHPS and turbine characterises are investigated using amount of hydropower production, more specifically profitability, as performance indicator.</p><p>While in literature, optimization is usually performed based on representative days (e.g., average day demand), long-term simulations over 10 years are used in this work. Therefore, a sufficient supply pressure in all water demand nodes in the WDN is ensured during this period. This results in a significant lower but more realistic estimation of potential benefits. The results also show, that after optimizing the SHPS location and device size, an additional potential increase of yearly profit of 1.1% can be achieved in the long-term operation of a Pelton turbine by considering water demand forecasts.</p>


Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3363 ◽  
Author(s):  
Yu Ji ◽  
Xiaogang Hou ◽  
Lingfeng Kou ◽  
Ming Wu ◽  
Ying Zhang ◽  
...  

Due to the challenges posed to power systems because of the variability and uncertainty in clean energy, the integration of energy storage devices (ESD) has provided a rigorous approach to improve network stability in recent years. Moreover, with the rapid development of the electricity market, an ESD operation strategy, which can maximize the benefits of ESD owners as well as the contribution to the electricity network stability, plays an important role in the marketization of ESDs. Although the benefits for ESD owners are discussed in many studies, the economic impact of ESD operation on distribution networks has not been commendably taken into account. Therefore, a cost–benefit analysis method of ESD which quantifies the economic impact of ESD operation on distribution networks is proposed in this paper. Considering the time-of-use (TOU) price and load demand, the arbitrage of ESD is realized through a strategy with low price charging and high price discharging. Then, the auxiliary service of ESD is realized by its capability of peak shaving and valley filling. In this paper, the long-run incremental cost (LRIC) method is adopted to calculate the network price based on the congestion cost. Based on the dynamic cost–benefit analysis method, the cost–benefit marginal analysis model in the ESD life cycle is proposed through the calculation of the present value of benefit. Subsequently, the optimal ESD capacity and charge/discharge rate is obtained to get the shortest payback period by analyzing different operation parameters. Finally, a case study is undertaken, where the ESD operation model mentioned above is simulated on a two-bus system and a 33-bus system, and the ESD cost–benefit analysis and the analysis of corresponding influence factors are carried out adequately.


2017 ◽  
Vol 190 ◽  
pp. 453-463 ◽  
Author(s):  
Junainah Sardi ◽  
N. Mithulananthan ◽  
M. Gallagher ◽  
Duong Quoc Hung

2016 ◽  
Vol 10 (3) ◽  
pp. 815-821 ◽  
Author(s):  
Carlos Mateo ◽  
Álvaro Sánchez ◽  
Pablo Frías ◽  
Andrea Rodriguez-Calvo ◽  
Javier Reneses

2018 ◽  
Vol 9 (2) ◽  
pp. 961-970 ◽  
Author(s):  
Ali Ahmadian ◽  
Mahdi Sedghi ◽  
Behnam Mohammadi-ivatloo ◽  
Ali Elkamel ◽  
Masoud Aliakbar Golkar ◽  
...  

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