Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship

Lan, Hai; Dai, Jinfeng; Wen, Shuli; Hong, Yi; Yu, David C.; Bai, Yifei

doi:10.3390/en81011515

Cited by 35 publications

(15 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The optimal allocation of the ESSs is always determined in the worst case (peak load without wind power) or the historical time series of the power [25,26]. The goal of this paper is to obtain the sitting and sizing of the ESSs in a more convenient way.…”

Section: Discretizing Wind Distributionmentioning

confidence: 99%

Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System

et al. 2017

Self Cite

View full text Add to dashboard Cite

Due to the increasingly serious energy crisis and environmental pollution problem, traditional fossil energy is gradually being replaced by renewable energy in recent years. However, the introduction of renewable energy into power systems will lead to large voltage fluctuations and high capital costs. To solve these problems, an energy storage system (ESS) is employed into a power system to reduce total costs and greenhouse gas emissions. Hence, this paper proposes a two-stage method based on a back-propagation neural network (BPNN) and hybrid multi-objective particle swarm optimization (HMOPSO) to determine the optimal placements and sizes of ESSs in a transmission system. Owing to the uncertainties of renewable energy, a BPNN is utilized to forecast the outputs of the wind power and load demand based on historic data in the city of Madison, USA. Furthermore, power-voltage (P-V) sensitivity analysis is conducted in this paper to improve the converge speed of the proposed algorithm, and continuous wind distribution is discretized by a three-point estimation method. The Institute of Electrical and Electronic Engineers (IEEE) 30-bus system is adopted to perform case studies. The simulation results of each case clearly demonstrate the necessity for optimal storage allocation and the efficiency of the proposed method.

show abstract

Section: Discretizing Wind Distributionmentioning

confidence: 99%

Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many previous studies have analyzed the optimal orientations in various regions [5][6][7][8][9][10][11]. They focused on calculating methods [5][6][7], the spatial distribution of optimal orientation [8,9], seasonal optimal tilt [5,10], and special application such as panels on large ship [11], however, they estimate optimal orientation based on the total value of power generation. The optimal orientation considering the temporal volatility should be studied to maintain the stability of the grid.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University

Park

2019

Energies

View full text Add to dashboard Cite

University campuses accommodate large numbers of people and are suitable places to organize a microgrid. The solar potential in the university area is estimated and the optimal orientation of solar panels is presented in this study. The optimal orientation is analyzed considering temporal volatility to increase the stability of the grid. Several variables are selected and scenarios are designed to consider various investments and technologies. Scenario-specific photovoltaic potentials were estimated using Geographic Information Systems analysis technology. Analysis of temporal volatility was conducted based on the difference between demand and supply of electricity. Optimal panel orientations were presented according to project objectives, such as highest efficiency or low volatility. As a result, the total potential of the study area was tens to hundreds of GWh/year depending on the scenario. The university has an advantage in hourly volatility, but has some problems in monthly volatility. The optimal orientation varies according to objectives and solar power supply ratio. The results of this study are expected to help researchers and technicians in the solar energy industry and assist in urban planning.

show abstract

“…Because the application of the photovoltaic system in ships is still in the development stage [22], [23], in general, the evaluation of the energy saving effect for the solar energy is estimated by the product of the estimated specific fuel consumption and power saving. Since the specific fuel consumption is dynamic, the estimation is not accurate enough.…”

Section: Introductionmentioning

confidence: 99%

A New Numerical Modelling Method for System Energy Efficiency Calculation

Song¹,

Yuan²,

Zhang³

et al. 2018

ElAEE

View full text Add to dashboard Cite

This paper focuses on greenhouse gas emissions of new energy ships by investigating energy efficiency of the ships using solar photovoltaic system. According to the operating characteristics of the diesel generator set, a novel energy efficiency model of the generator diesel engine was established, where the solar photovoltaic system was included to analyze the model energy efficiency. In order to evaluate the feasibility and availability of the proposed model, experimental data acquired from the solar photovoltaic system testing, in a real-world large ro-ro ship, was collected and compared with the model output. The fuel consumption with and without the use of the solar photovoltaic system was used to analyze the ship's energy efficiency. The comparison results demonstrate that the proposed energy efficiency model for marine generator diesel engines with solar photovoltaic system is able to represent the ship's efficiency level, with an estimation error of 3.43 %.

show abstract

Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship

Cited by 35 publications

References 35 publications

Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System

Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System

Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University

A New Numerical Modelling Method for System Energy Efficiency Calculation

Contact Info

Product

Resources

About