Cost metrics of electrical energy storage technologies in potential power system operations

Nikolaidis, Pavlos; Poullikkas, Andreas

doi:10.1016/j.seta.2017.12.001

Cited by 95 publications

(67 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It also provides better brightness and have a longer lifespan [22]. Under this scheme, each of the streetlight is powered by electrical grid to ensure sufficient and stable power supply [23], [24]. The backbone of this networked streetlight is powered by WSN, that enable transmission of data for different purposes, such as monitoring, adjusts brightness of LED or merely for notification purpose [4], [5].…”

Section: Proposed Solutionmentioning

confidence: 99%

Predictive Control for Distributed Smart Street Light Network

Lee¹,

Ping²,

Eng³

2019

IJACSA

View full text Add to dashboard Cite

With the advent of smart city that embedded with smart technology, namely, smart streetlight, in urban development, the quality of living for citizens has been vastly improved. TALiSMaN is one of the promising smart streetlight schemes to date, however, it possesses certain limitation that led to network congestion and packet dropped during peak road traffic periods. Traffic prediction is vital in network management, especially for real-time decision-making and latency-sensitive application. With that in mind, this paper analyses three real-time short-term traffic prediction models, specifically simple moving average, exponential moving average and weighted moving average to be embedded onto TALiSMaN, that aim to ease network congestion. Additionally, the paper proposes traffic categorisation and packet propagation control mechanism that uses historical road traffic data to manage the network from overload. In this paper, we evaluate the performance of these models with TALiSMaN in simulated environment and compare them with TALiSMaN without traffic prediction model. Overall, weighted moving average showed promising results in reducing the packet dropped while capable of maintaining the usefulness of the streetlight when compared to TALiSMaN scheme, especially during rush hour.

show abstract

Section: Proposed Solutionmentioning

confidence: 99%

Predictive Control for Distributed Smart Street Light Network

Lee¹,

Ping²,

Eng³

2019

IJACSA

View full text Add to dashboard Cite

show abstract

“…ESS A is SC pack and ESS B is OPzV Lead-acid (Ld) batteries pack. These two technologies have been combined because of their different and complementary characteristics: Ld batteries are known as a mature and cheap electrochemical storage technology with a high energy density, while SC support a high number of cycles and present a high power density, but it is a very expensive technology [13]. We developed a specific power management algorithm explained in [12] and derived from DC bus signaling control [14].…”

Section: The Lvdc Mgmentioning

confidence: 99%

“…The time horizon chosen for this study is 25 years, considering that corresponds to an average value of SC calendar lifetime, according to data given in [5], [13], [20]. The discount rate can vary from 3.5% to 8% regarding the values proposed in the literature, we selected the worst value of 3.5% as proposed by [18].…”

Section: B Lcoementioning

confidence: 99%

“…With the cost of the SC chosen for our analysis, we can obtain a small decrease of the LCOE when considering the electrical outlets power profile, but in the literature the SC cost varies from 255 to 30000 e/kWh [13], [19], [20]. The figure 6 presents the battery lifetime and the HESS LCOE normalized for three different SC costs : the lowest values (255 e/kWh), the average values of the value found in the literature (17200 e/kWh) and the cost of the SC installed in our LVDC-MG (24000 e/kWh).…”

Section: Sc Costmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of supercapacitors on battery lifetime in hybrid energy storage system in building integrated photovoltaic DC micro-grid

Gaetani-Liseo

Alonso

Jammes

2018

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

View full text Add to dashboard Cite

This paper focuses on a study of an hybrid energy storage system constituted by lead acid batteries and supercapacitors and designed to work in a low voltage DC microgrid supplying by photovoltaic sources and dedicated to building application. We proposed a simulation methodology in order to evaluate supercapacitors performances and behaviors for long term analysis. We quantify their impacts on battery lifetime and on the levelized cost of electricity of our storage system. This analysis has been validated on the micro-grid developed in LAAS-CNRS in ADREAM building integrated photovoltaic. The power profiles used for our work correspond to 1 years production and consumption data from 100m 2 floor of the building. Results of comparative studies with different load profiles, SC costs and methods to estimated battery lifetime are presented and discussed.

show abstract

“…Mature, large-scale electric energy storage solutions such as pumped hydro storage (PHS) face limitations in the physical potential of many countries, as well as restrictions due to nature conservation. In fact, electric energy storage capacities have not kept pace with vRES expansion in recent years [6,11,[18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Capacity Expansion Pathways for a Wind and Solar Based Power Supply and the Impact of Advanced Technology—A Case Study for Germany

2019

View full text Add to dashboard Cite

Wind and solar PV have become the lowest-cost renewable alternatives and are expected to dominate the power supply matrix in many countries worldwide. However, wind and solar are inherently variable renewable energy sources (vRES) and their characteristics pose new challenges for power systems and for the transition to a renewable energy-based power supply. Using new options for the integration of high shares of vRES is therefore crucial. In order to assess these options, we model the expansion pathways of wind power and solar photovoltaics (solar PV) capacities and their impact on the renewable share in a case study for Germany. Therefore, a numerical optimization approach is applied on temporally resolved generation and consumption time series data to identify the most efficient and fastest capacity expansion pathways. In addition to conventional layouts of wind and solar PV, our model includes advanced, system-friendly technology layouts in combination with electric energy storage from existing pumped hydro storage as promising integration options. The results provide policy makers with useful insights for technology-specific capacity expansion as we identified potentials to reduce costs and infrastructural requirements in the form of power grids and electric energy storage, and to accelerate the transition to a fully renewable power sector.

show abstract

Cost metrics of electrical energy storage technologies in potential power system operations

Cited by 95 publications

References 93 publications

Predictive Control for Distributed Smart Street Light Network

Predictive Control for Distributed Smart Street Light Network

Impacts of supercapacitors on battery lifetime in hybrid energy storage system in building integrated photovoltaic DC micro-grid

Capacity Expansion Pathways for a Wind and Solar Based Power Supply and the Impact of Advanced Technology—A Case Study for Germany

Contact Info

Product

Resources

About