Capacity configuration of hybrid CSP/PV plant for economical application of solar energy

Li, Fēi; Li, Canbing; Sun, Kai; Zhang, Jiamei; Li, Hua

doi:10.23919/cjee.2020.000008

Cited by 22 publications

(6 citation statements)

References 19 publications

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“…The supply of electricity by hybrid CSP/PV power systems have been proposed by researchers in recent years, as they are expected to combine the characteristics of dispatchable power generation and lower LCOE [5]. It was also shown that by a suitable combination of CSP and PV aiming at a capacity factor higher than 70%, lower costs can be achieved than by increasing storage and solar field size in CSP plants alone [6].…”

Section: Introductionmentioning

confidence: 99%

Case Study on Decarbonization Strategies for LNG Export Terminals Using Heat and Power from CSP/PV Hybrid Plants

Hasni,

Platzer

2024

SolarPACES Conf Proc

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The race towards decarbonization is driving major oil and gas companies to explore means to use renewable heat and power for their plants as part of their commitment to reduce their carbon intensity by 80% to 100% by 2050 [1]. In terms of greenhouse gas (GHG) emissions, natural gas is considered the cleanest fossil fuel option available, and decarbonization of new liquefied natural gas (LNG) projects is on the radar of many LNG projects developers. In addition, LNG cargos will have to be certified in the future by accredited authorities to meet defined GHG emission levels [2]. This research study investigates a concept of providing both heat and power from a photovoltaic (PV) and concentrated solar power (CSP) solar tower hybrid plant to meet the energy demand of LNG export terminals. Two locations have been investigated for potential future LNG projects: Karratha in Australia and Ras Laffan in Qatar. Both locations have direct normal irradiance (DNI) values higher than 2000 kWh/m2/year, which is the minimum level required for CSP technology [3]. A techno-economic assessment was carried-out taking into consideration the electricity price, the grid carbon intensity and the carbon dioxide (CO2) tax in the region. The results indicate that the CSP/PV hybrid plant significantly accelerates the decarbonization of energy supply to the “All electric” LNG Plant. The quantity of CO2 emitted between 2025 and 2050 is reduced by 81% for Karratha (Australia) and by 88% for Ras Laffan (Qatar) compared to a grid connected LNG plant.

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Section: Introductionmentioning

confidence: 99%

Case Study on Decarbonization Strategies for LNG Export Terminals Using Heat and Power from CSP/PV Hybrid Plants

Hasni,

Platzer

2024

SolarPACES Conf Proc

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“…To fulfill electricity demand, many grid operators from different countries have transitioned toward renewable energy sources (RESs) [2] owing to their cost effectiveness and environmental friendliness [3] . Among RESs, solar power systems are popular because of their cost effectiveness [4] , sustainability, and technological maturity [5] . As the power system evolves from centralized generation from oil and gas to distributed generation from RESs [6] , the involvement of power-electronics-based converters is indispensable for ensuring power system stability [7][8] .…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic controller-based synchronverter in grid-connected solar power system with adaptive damping factor

Yap

Beh

Sarimuthu

2021

Chin. J. Electr. Eng.

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In recent years, renewable energy sources, specifically solar power systems, have developed rapidly owing to their technological maturity and cost effectiveness. However, its grid integration deteriorates frequency stability because of insufficient rotating masses and inertial response. Hence, a synchronverter, which is an inverter that mimics the operation of a synchronous generator, is crucial to interface solar power in a power grid. It stabilizes the power grid by emulating a virtual inertia. However, a conventional proportional-integral (PI)-based synchronverter is not equipped with an adaptive damping factor (D p ) or a digitalized smart controller to manage fast-responding solar inputs. Hence, a novel fuzzy logic controller (FLC) framework is proposed such that the synchronverter can operate in a grid-connected solar power system. In this study, D p is controlled in real time using an FLC to achieve balance between speed and stability for frequency error correction based on frequency difference. Results of four case studies performed in Matlab/Simulink show that the proposed FLC-based synchronverter can stabilize the grid frequency by reducing the frequency deviation by at least 0.2 Hz (0.4%), as compared with the conventional PI-based synchronverter.

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“…Because of the complementary between solar and wind energy, when wind turbines and photovoltaic power plants are built in a power plant or region, the combined use of wind and solar data can improve the accuracy of prediction [24,25]. When there is CSP in the area, there is a strong trend correlation between CSP and PV power generation [26]. Due to the flexibility of CSP power generation, the uncertainty of photovoltaic power generation and wind power can be weakened to a certain extent [27,28].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems

Pang

Zheng

Luo³

et al. 2021

Sustainability

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Forecasting of large-scale renewable energy clusters composed of wind power generation, photovoltaic and concentrating solar power (CSP) generation encounters complex uncertainties due to spatial scale dispersion and time scale random fluctuation. In response to this, a short-term forecasting method is proposed to improve the hybrid forecasting accuracy of multiple generation types in the same region. It is formed through training the long short-term memory (LSTM) network using spatial panel data. Historical power data and meteorological data for CSP plant, wind farm and photovoltaic (PV) plant are included in the dataset. Based on the data set, the correlation between these three types of power generation is proved by Pearson coefficient, and the feasibility of improving the forecasting ability through the hybrid renewable energy clusters is analyzed. Moreover, cases study indicates that the uncertainty of renewable energy cluster power tends to weaken due to partial controllability of CSP generation. Compared with the traditional prediction method, the hybrid prediction method has better prediction accuracy in the real case of renewable energy cluster in Northwest China.

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Capacity configuration of hybrid CSP/PV plant for economical application of solar energy

Cited by 22 publications

References 19 publications

Case Study on Decarbonization Strategies for LNG Export Terminals Using Heat and Power from CSP/PV Hybrid Plants

Case Study on Decarbonization Strategies for LNG Export Terminals Using Heat and Power from CSP/PV Hybrid Plants

Fuzzy logic controller-based synchronverter in grid-connected solar power system with adaptive damping factor

Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems

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