| 1. |
- Wang, Zhenni, et al.
(författare)
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Potential assessment of large-scale hydro-photovoltaic-wind hybrid systems on a global scale
- 2021
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Ingår i: Renewable & sustainable energy reviews. - : Elsevier BV. - 1364-0321 .- 1879-0690. ; 146, s. 111154-
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Tidskriftsartikel (refereegranskat)abstract
- Large-scale hydro-photovoltaic-wind hybrid systems have the potential to improve flexibility with multiple renewable energy sources. However, few studies have investigated the optimal configuration of hybrid systems, especially on a global scale. This paper examines the regulation capacity of global reservoirs and the characteristics of wind and solar resources, thereby configuring hybrid energy systems at 3080 selected sites around the world. The operation schemes of each hybrid system are simulated, and the optimal sizes of wind and PV power plants are determined considering the risks and benefits of systems. The results show that the total potential installed capacity is 1699 GW with an electricity generation of 4348 TW-hours per year. Hydropower, PV and wind power account for 67%, 20% and 13% of the total electricity generation, respectively, and the largest potential is found in the Asia-Pacific region (40%). The fluctuation ratios of hybrid systems are 78-99% lower than those of independent systems, and integration of wind and PV power into hydropower results in an increase in the average utilization efficiency of transmission networks from 50% to 72%. It is expected that 3900 GW of additional PV and wind power will be produced by 2040, 26% of which could be provided by hybrid systems. The results indicate that large-scale hydro-PV-wind hybrid systems could make important contributions to the global transition to low-carbon energy systems.
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| 2. |
- Meng, H., et al.
(författare)
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Preface
- 2021
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Ingår i: Lecture. Notes. Data Eng. Commun. Tech.. - : Springer Science and Business Media Deutschland GmbH. ; , s. v-vi
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Konferensbidrag (refereegranskat)
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| 3. |
- Wang, Chuan, et al.
(författare)
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Potential carbon dioxide emission reduction in China by using Swedish bioenergy technologies
- 2006
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Ingår i: GHGT-8 Conference, 19-22 June 2006.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- During recent years, an increased attention has been given by industries and governments from industrialized as well as developing countries to reduce greenhouse gas (GHG) emissions through the clean development mechanism (CDM). As China has increasing demands on bioenergy and Sweden has good practices and competence in developing and utilizing bioenergy technologies, this paper studies the resulting consequence if implementing Swedish bioenergy technologies in China. The potential CO2 emission reduction from each technology in China is studied. A few priority areas for future CDM projects selection by using Swedish technologies are recommended.
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| 4. |
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| 5. |
- Zhang, Yang, 1991-, et al.
(författare)
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The Influence of Photovoltaic Models and Battery Models in System Simulation and Optimization
- 2017
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Ingår i: Energy Procedia. - : Elsevier. - 1876-6102. ; 105, s. 1184-1191
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Tidskriftsartikel (refereegranskat)abstract
- Selecting accurate and robust models is important for simulation and optimization of a clean energysystem. This paper compares two photovoltaic (PV) models and two battery models in an open-sourcecode, Opti-CE. The PV models are single diode model and its simplified model. The battery models areImproved Shepherd model and energy balance model. The models are compared from a perspective ofoverall system simulation and optimization in particular on both accuracy and computational time. Theresults indicate that simplified PV model causes 0.86% normalized root mean square error (nRMSE)compared with the single diode model, while decreases the simulation time from more than 800s to lessthan 0.01s. The energy balance battery model reduces simulation time from more than 5s to less than0.03s. The energy balance model tends to underestimate the battery State of Charge (SOC) compared withthe Improved Shepherd model. However, the error is not accumulative during the simulation. Comparedto the Pareto front with single diode model and Improved Shepherd model, the simplified PV modelincreases the Pareto front values and result in both higher Self Sufficiency Ratio (SSR) and Net PresentValue (NPV), while the energy balance battery model decreases the part of Pareto front, whereindividuals have low NPV.
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