Evaluating the role of electricity storage by considering short-term operation in long-term planning

Brijs, Tom; Stiphout, Arne van; Siddiqui, Sauleh; Belmans, Ronnie

doi:10.1016/j.segan.2017.04.002

Cited by 34 publications

(18 citation statements)

References 44 publications

(56 reference statements)

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“…Additionally, Brazil has been undergoing severe droughts (mainly in the Southeast, Midwest, and Northeast) since 2012, leading to an increase of generation from thermal power (see Fig. 1) [5,6]. This thermal power trend remained for the latter years (2013 to 2017).…”

Section: Fig 1 Brazilian Power Output Between 2000 and 2018 (February) (Left Axis) And Water Storage Level In Se (Right Axis)mentioning

confidence: 99%

“…Also, the short-term impacts are becoming increasingly important to consider in the long-term planning. The computational barriers associated with large power systems, however, have limited the inclusion of short-term impacts in long-term planning models [6]. The tool used in this paper (EnergyPLAN) allows to consider high time resolution for an entire year using hourly timesteps [7].…”

Section: Introductionmentioning

confidence: 99%

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Planning for a renewable future in the Brazilian power system

Dranka

Ferreira

2018

Energy

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The Brazilian electricity system is an important example of a large country relying on a high renewable energy matrix with a major focus on hydropower, which has historically allowed for low carbon electricity production.However, the increase in the demand and climate change impacts on the availability of these renewable resources represent important challenges for long-term power planning. The contribution of this paper is twofold: Firstly, a first attempt to use the EnergyPLAN model for the analysis of the Brazilian electricity sector and in particular to study future scenarios is presented. Secondly, the possibility of achieving a 100% RES system is also addressed. The 100% RES scenario is found to be theoretically possible but a substantial increase in the overall installed capacity would be required, to support the grid mainly during the spring and summer season. The results underline the importance of seasonal complementarity of hydro and wind power and reveal how an increase in RES would add exportation potential, reducing also the Brazilian external energy dependency. The study identifies risk factors for these high RES scenarios and outlines several avenues for future research to address cost, environmental and technical uncertainties of the system.

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Section: Fig 1 Brazilian Power Output Between 2000 and 2018 (February) (Left Axis) And Water Storage Level In Se (Right Axis)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Planning for a renewable future in the Brazilian power system

Dranka

Ferreira

2018

Energy

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“…Another necessary condition is that the sum of SOS2 variables must be equal to unity, which is implemented in Equation (18). The Constraints (19) and (20) describe the operation of DWHP in heat injection mode following the same linearization procedure as in Equations ( 21)- (23). To ensure that both heat extraction and heat injection do not occur simultaneously, Equation ( 24) is applied.…”

Section: Optimization Modelmentioning

confidence: 99%

“…The model was shown to outperform both system state and conventional representative time period clustering. However, such methodology fails to accurately consider interday storage dynamics in a medium-or long-term planning horizon [14,19], which is crucial, particularly in highly renewable generation power systems. Moreover, electricity demand has a diurnal pattern that can be easily captured by representative periods.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Power and Heat Sector Coupling for the Implementation of Carbon-Free Communities

et al. 2021

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To achieve a successful integration of fluctuating renewable power generation, the power-to-heat (P2H) conversion is seen as an efficient solution that remedies the issue of curtailments as well as reduces carbon emissions prevailing in the district heating (DH) sector. Concurrently, the need for storage is also increasing to maintain a continuous power supply. Hence, this paper presents a MILP-based model to optimize the size of thermal storage required to satisfy the annual DH demand of a community solely by P2H conversion employing renewable energy. The DH is supplied by the optimal operation of a novel 2-km deep well heat pump system (DWHP) equipped with thermal storage. To avoid computational intractability, representative time steps with varying time duration are chosen by employing hierarchical agglomerative clustering that aggregates adjacent hours chronologically. The value of demand response and the effect of interannual weather variability are also analyzed. Numerical results from a Finnish case study show that P2H conversion utilizing small thermal storage in tandem with the DWHP is able to cover the annual DH demand, thus leading to a carbon-neutral DH system and, at the same time, mitigating the curtailment of excessive wind generation. Compared with the annual DH demand, an average thermal storage size of 29.17 MWh (2.58%) and 13.99 MWh (1.24%) are required in the business-as-usual and the demand response cases, respectively.

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“…An important concept was introduced in Ref. [20] where a short-term operation in a long-term planning approach is proposed. Based on a representation of short-term system operations within a long-term planning framework, the role of electricity storage in future RES-based systems has been developed according to the following scheme:…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System

et al. 2019

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In this this paper, the optimal sizing of electric and thermal storage is applied to the novel definition of a net zero multi energy system (NZEMS). A NZMES is based on producing electricity exclusively from renewable energy sources (RES) and converting it into other energy forms to satisfy multiple energy needs of a community. Due to the intermittent nature of RES, storage resources are needed to increase the self-sufficiency of the system. Possible storage sizing choices are examined considering, on an annual basis, the solution of a predictive control problem aimed at optimizing daily operation. For each day of the year, a predictive control problem is formulated and solved, aimed at minimizing operating costs. Electric, thermal, and (electric) transportation daily curves and expected RES production are assessed by means of a model that includes environmental parameters. Test results, based on the energy model of a small rural village, show expected technical-economic performance of different planning solutions, highlighting how the renewable energy mix influences the choice of both thermal and electric storage, and how self-sufficiency can affect the overall cost of energy.

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Evaluating the role of electricity storage by considering short-term operation in long-term planning

Cited by 34 publications

References 44 publications

Planning for a renewable future in the Brazilian power system

Planning for a renewable future in the Brazilian power system

Optimizing Power and Heat Sector Coupling for the Implementation of Carbon-Free Communities

Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System

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