Short-term optimization of the new Avče pumping plant and three existing hydro power plants on the Soča river in Slovenia

Bregar, Zvonko

doi:10.1016/j.epsr.2006.10.011

Cited by 9 publications

(4 citation statements)

References 5 publications

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“…For the valuation of pump storage plants on the liberalized market and with consideration of price-based unit commitment planning different articles have been published (Bregar, 2007;Kanamura andŌhashi, 2007;Lu et al, 2004;Thompson, 2004;Vieira and Ramos, 2008). This article differs from these articles by its explicit reference to a power price simulation and a unit commitment planning being based on a binary optimization model.…”

Section: Introductionmentioning

confidence: 94%

A real option-based simulation model to evaluate investments in pump storage plants

Muche

2009

Energy Policy

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Section: Introductionmentioning

confidence: 94%

A real option-based simulation model to evaluate investments in pump storage plants

Muche

2009

Energy Policy

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“…So far, MILP is used to optimize not only district heating systems but also other types of energy systems [8][9][10][11][12][13][14][15][16]. Regarding municipal energy systems, Weber et al [8] report research by MILP to achieve optimal network synthesis for a district energy system and Lu et al [9] to achieve optimal municipal solid waste management with respect to greenhouse gas emission control.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding municipal energy systems, Weber et al [8] report research by MILP to achieve optimal network synthesis for a district energy system and Lu et al [9] to achieve optimal municipal solid waste management with respect to greenhouse gas emission control. Regarding power systems, reference [10] reports research by MILP to optimize short-term operation of the pumping plant and existing hydro-power plants, reference [11] to optimize for large-scale weekly scheduling for hydrothermal plants, and reference [12] to optimize structurally and operationally distributed energy systems. Regarding industrial energy systems, Bojić and Dragićević [13] report optimization of steam boiler design by MILP, Dragićević and Bojić [14] report an MILP optimization model for a combined heat and power production energy supply system with a heat pump, Papalexandri and Pistikopoulos [15] report research by MILP done to create flexible heat and mass exchange networks, Ito et al [16] report to create optimal operational advisory system for a brewery's energy supply plant, Zhang and Hua [17] report to optimize planning of oil refinery-wide production and to utilize energy better, and Majozi [18] reports to achieve optimal heat integration of multi-purpose batch plants using a continuous-time framework.…”

Section: Introductionmentioning

confidence: 99%

Design method for the optimization of district heating systems using mixed integer linear programming

Bojić

Čubrović

2010

Proceedings of the Institution of Mechanical Engineers, Part A:

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During winter, district heating systems may be used to heat dense built environment in large cities. After several years of use, performance of such a system would change because of either refurbishment or ageing. As a result, air temperatures in heated rooms would be different from the design (thermal comfort) temperatures. It is investigated how the system performance changes owing to ageing and refurbishment of the primary pipeline and envelope of heated buildings. To determine how to recover the design temperatures of air in heated rooms, mixed integer linear programming is used. The objective was to select an optimal scenario that would achieve the minimum difference between the corrected and design temperatures inside the investigated rooms. The scenario refers to installation of new (option) valves and water pumps that would require installing in the primary pipe network of the old district heating system examined to re-establish its optimum performance.

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“…[7] and[21], among others, assume that utilities have perfect foresight about the day-ahead marginal electricity price when optimizing their hydro stations [22]. assume a random price of electricity, which entails the need to account for this (price) risk 11.…”

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confidence: 99%

On flexible hydropower and security of supply: Spain beyond 2020

Abadie

Gómez

Huclin

et al. 2020

Energy

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Generation adequacy is a key ingredient to security of electricity supply (SoS). Some national plans envisage a future decrease in the number of coal-fired stations and an increase in renewable installed capacity. This forecast, along with the future reduction of nuclear capacity, will lead to a combination of less baseload plants and sizeable intermittent generation. Hence there is a risk that supply will be unable to meet demand and generation adequacy will suffer.We assess how the flexible management of hydro resources can alleviate this risk by adjusting power generation to peak demand. Indeed there is empirical evidence that they are positively correlated. We compute this correlation in the case of Spain (an 'electric island'). Besides, hydro plants operate in combination with other non-dispatchable technologies within the system. Therefore, we also take their hourly seasonality into account. Next we run a Monte Carlo simulation to derive the risk profile of several adequacy metrics in the coming decades. Our results show that flexible hydro generation certainly mitigates the risk but is insufficient to bring an adecuate level of SoS when the enhanced renewable capacity goes hand in hand with a decreased baseload capacity. The risk further decreases after accounting for seasonal non-dispatchable generation, yet it still looms large. These results can be important for policy makers, system operators, and power companies when analizing investments in renewable energy with a long lifespan.

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Short-term optimization of the new Avče pumping plant and three existing hydro power plants on the Soča river in Slovenia

Cited by 9 publications

References 5 publications

A real option-based simulation model to evaluate investments in pump storage plants

A real option-based simulation model to evaluate investments in pump storage plants

Design method for the optimization of district heating systems using mixed integer linear programming

On flexible hydropower and security of supply: Spain beyond 2020

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