The development and optimization of customized hybrid power systems

Wang, Fu-Cheng; Chen, Han-Che

doi:10.1016/j.ijhydene.2016.05.247

Cited by 20 publications

(18 citation statements)

References 16 publications

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“…A general hybrid power model, as shown in Figure 2, was developed to evaluate system performance at different operating conditions (e.g., varying the component sizes and power management strategies) [32,33,39]. The model consisted of a PV module, a WT module, a battery module, a PEMFC module, an electrolyzer module, a chemical hydrogen generation module, and a load module.…”

Section: The Hybrid Power Modelmentioning

confidence: 99%

“…The power management strategies were applied to operate these modules based on battery state-of-charge (SOC). The module parameters were adjusted by the component characteristics and experimental responses to allow prediction and analysis of the system dynamics without the need for extensive experiments [39,40].…”

Section: The Hybrid Power Modelmentioning

confidence: 99%

“…Second, the WT module was presented as a look-up table, according to the relation between wind power and wind speed [33,42]. Third, the PEMFC acted as a back-up power source to guarantee system sustainability based on the following management strategies (see Figure 3a) [39]:…”

Section: The Hybrid Power Modelmentioning

confidence: 99%

“…in which C and n are the price per unit and the installed units, respectively, for each component k. CRF represented the capital recovery factor that was defined as [32,33,39]:…”

Section: Design Optimization Of the Hybrid Power Systemmentioning

confidence: 99%

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Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

Wang

Lin

2018

Energies

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This paper discusses the performance improvement of a green building by optimization procedures and the influences of load characteristics on optimization. The green building is equipped with a self-sustained hybrid power system consisting of solar cells, wind turbines, batteries, proton exchange membrane fuel cell (PEMFC), electrolyzer, and power electronic devices. We develop a simulation model using the Matlab/SimPowerSystemTM and tune the model parameters based on experimental responses, so that we can predict and analyze system responses without conducting extensive experiments. Three performance indexes are then defined to optimize the design of the hybrid system for three typical load profiles: the household, the laboratory, and the office loads. The results indicate that the total system cost was reduced by 38.9%, 40% and 28.6% for the household, laboratory and office loads, respectively, while the system reliability was improved by 4.89%, 24.42% and 5.08%. That is, the component sizes and power management strategies could greatly improve system cost and reliability, while the performance improvement can be greatly influenced by the characteristics of the load profiles. A safety index is applied to evaluate the sustainability of the hybrid power system under extreme weather conditions. We further discuss two methods for improving the system safety: the use of sub-optimal settings or the additional chemical hydride. Adding 20 kg of NaBH4 can provide 63 kWh and increase system safety by 3.33, 2.10, and 2.90 days for the household, laboratory and office loads, respectively. In future, the proposed method can be applied to explore the potential benefits when constructing customized hybrid power systems.

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Section: The Hybrid Power Modelmentioning

confidence: 99%

Section: The Hybrid Power Modelmentioning

confidence: 99%

Section: The Hybrid Power Modelmentioning

confidence: 99%

“…in which C and n are the price per unit and the installed units, respectively, for each component k. CRF represented the capital recovery factor that was defined as [32,33,39]:…”

Section: Design Optimization Of the Hybrid Power Systemmentioning

confidence: 99%

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Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

Wang

Lin

2018

Energies

Self Cite

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“…The combination system of PV and H 2 produced by water electrolyzer using renewable energy sources have been studied numerically as well as experimentally [8]- [23]. Energy and exergy analysis [8] [9] [10], economic assessment [11] [12] [13] [14] [15], environmental assessment [16] [17] and dynamic control procedure in a short time [18] [19] [20] were reported. Though the storage characteristics of H 2 produced by water electrolisys are investigated [21] [22], there are a few reports that investigate the transportation system of H 2 produced by water electrolysis using the power generated by renewable energy sources [3] [23], which are only discussed about CO 2 emission and more investigations are necessary from the viewpoint of energy assessment.…”

Section: Introductionmentioning

confidence: 99%

An Energy Supply Chain from Large Scale Photovoltaic Power Generation from Asian Cities to End Users in Japan

Nishimura¹,

Yasui²,

Kitagawa³

et al. 2017

SGRE

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This study proposes four possible energy supply chains from the megawatt class of photovoltaics (PV) installation in Kuala Lumpur, Kolkata, Beijing or Ulan Bator to end users in Tokyo Japan. In the proposed chains, the electricity generated from solar PV panels would be used to generate H 2 through water electrolyzer. The H 2 is then liquefied (or converted into organic hydride) and transported by tank truck for land as well as tanker for marine to Japan and finally supplied to fuel cells (FC) for power generation purpose. This study investigates the energy efficiencies of the proposed energy supply chain and the amount of CO 2 emission in the transportation process from the four locations. As a result, it is found the largest amount of power could be generated in Ulan Batorthan in other cities with the same size of solar panel array, while it also emitted the largest amount of CO 2 in the transportation process. The best energy efficiency is obtained in the case of Beijing. This study also revealed that the ratio of total energy consumption to calorific value of H 2 after transportation in the case of H 2 liquefaction is smaller than that in the case of organic hydride.

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Fuzzy TOPSIS-Based Optimization of a Stand-Alone Hybrid Energy System for Faculty Quarters of Nit Silchar

Banik

Reddy

Chakraborty

et al. 2022

Green Energy and Technology

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The development and optimization of customized hybrid power systems

Cited by 20 publications

References 16 publications

Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells

An Energy Supply Chain from Large Scale Photovoltaic Power Generation from Asian Cities to End Users in Japan

Fuzzy TOPSIS-Based Optimization of a Stand-Alone Hybrid Energy System for Faculty Quarters of Nit Silchar

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