Analysis on Low-Carbon Comprehensive Benefit of Wind Power

2013 ◽  
Vol 860-863 ◽  
pp. 368-374
Author(s):  
Zhao Feng Mi ◽  
Chen Fang ◽  
Jun Jie Zhu ◽  
Jian Lin Yang

Considering economic effect and low-carbon effect the benefit formation mechanism of wind power was analyzed, and then through integrating the benefits from the two aspects by low-carbon economic elements a concept of low-carbon comprehensive benefit was proposed. Combining with construction cost of wind power , an analysis model of low-carbon comprehensive benefit from wind power was built.

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3680
Author(s):  
Lasantha Meegahapola ◽  
Siqi Bu

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1129
Author(s):  
Huijia Yang ◽  
Weiguang Fan ◽  
Guangyu Qin ◽  
Zhenyu Zhao

With the increasing demand for clean and low-carbon energy, high proportion of renewable energy has been integrated into the receiving-end grid. The grid-side energy storage project can ensure the safe and stable operation of the grid, but it still faces many problems, such as high initial investment, difficult operation and maintenance, unclear profit model, lack of business mode. Therefore, it is of great significance to evaluate the comprehensive benefit of energy storage projects in order to guide the sustainable development of large-scale energy storage projects and power system. By studying the technical and economic characteristics of energy storage, this paper establishes a comprehensive evaluation system from four dimensions of energy efficiency, economic, social, and environmental benefit. Combined with typical business modes and determining the subdivision index system of different modes, the comprehensive benefit evaluation model of grid-side commercial storage project based on Fuzzy-Analytic Network Process (ANP) approach is established. Empirical analysis of a 100-megawatt storage project is carried out to evaluate the project benefits comprehensively, the potential problems of the market development and business mode of the grid-side large-scale storage project are discussed, and the future development orientation and suggestions are put forward.


Author(s):  
Mary E. Clayton ◽  
Ashlynn S. Stillwell ◽  
Michael E. Webber

With a push toward renewable electricity generation, wind power has grown substantially in recent U.S. history and technologies continue to improve. However, the intermittency associated with wind-generated electricity without storage has limited the amounts sold on the grid. Furthermore, continental wind farms have a diurnal and seasonal variability that is mismatched with demand. To increase the broader use of wind power technologies, the development of systems that can operate intermittently during off-peak hours must be considered. Utilization of wind-generated electricity for desalination of brackish groundwater presents opportunities to increase use of a low-carbon energy source and supply alternative drinking water that is much needed in some areas. As existing water supplies dwindle and population grows, cities are looking for new water sources. Desalination of brackish groundwater provides one potential water source for inland cities. However, this process is energy-intensive, and therefore potentially incongruous with goals of reducing carbon emissions. Desalination using reverse osmosis is a high-value process that does not require continuous operation and therefore could utilize variable wind power. That is, performing desalination in an intermittent way to match wind supply can help mitigate the challenges of integrating wind into the grid while transforming a low-value product (brackish water and intermittent power) into a high-value product (treated drinking water). This option represents a potentially more economic form of mitigating wind variability than current electricity storage technologies. Also, clean energy and carbon policies under consideration by the U.S. Congress could help make this integration more economically feasible due to incentives for low-carbon energy sources. West Texas is well-suited for desalination of brackish groundwater using wind power, as both resources are abundant and co-located. Utility-scale wind resource potential is found in most of the region. Additionally, brackish groundwater is found at depths less than 150 m, making west Texas a useful geographic testbed to analyze for this work, with applicability for areas with similar climates and water supply scarcity. Implementation of a wind-powered desalination project requires both economic and geographic feasibility. Capital and operating cost data for wind turbines and desalination membranes were used to perform a thermoeconomic analysis to determine the economic feasibility. The availability of wind and brackish groundwater resources were modeled using geographic information systems tools to illustrate areas where implementation of a wind-powered desalination project is economically feasible. Areas with major populations were analyzed further in the context of existing and alternative water supplies. Utilization of wind-generated electricity for desalination presents a feasible alternative to energy storage methods. Efficiency, economics, and ease of development and operation of off-peak water treatment were compared to different energy storage technologies: pumped hydro, batteries, and compressed air energy storage. Further economics of compressed air energy storage and brackish groundwater desalination were examined with a levelized lifetime cost approach. Implementation of water desalination projects using wind-generated electricity might become essential in communities with wind and brackish groundwater resources that are facing water quality and quantity issues and as desires to implement low carbon energy sources increase. This analysis assesses the economic and geographic feasibility and tradeoffs of such projects for areas in Texas.


2014 ◽  
Vol 529 ◽  
pp. 476-480
Author(s):  
Li Yi ◽  
San Yong Liu ◽  
Qiang Qiang Yu

RDS-PP (Reference Designation for Power Plants) is a new identification system for power plants, which basis and structure are based on international standards. With the purposes to meet the designation of new power plants like wind power plant, KKS (Kraftwerk-Kennzeichen system) is developed to RDS-PP. VGB technical committee recommends newly-built power plants adopts RDS-PP directly. Though leading to additional work, adopting new identification system have a long term economic effect.


Energy ◽  
2018 ◽  
Vol 149 ◽  
pp. 914-924 ◽  
Author(s):  
Jingliang Jin ◽  
Peng Zhou ◽  
Mingming Zhang ◽  
Xianyu Yu ◽  
Hao Din

2018 ◽  
Vol 30 (2) ◽  
pp. 254-271 ◽  
Author(s):  
Xiongfeng Pan ◽  
Jing Zhang ◽  
Changyu Li ◽  
Xianyou Pan ◽  
Jinbo Song

Based on the data of 30 Chinese provinces from 2011 to 2014, we use a meta-frontier data envelopment analysis model and a symbolic regression method to study wind power generation efficiency and its influencing factors. From our analytical results, the main findings are as follows: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The technology gap ratio of eastern region is at a high level and is stable. In contrast, the technology gap ratios of the central and western regions are at a low level and have a larger fluctuation range. (3) The room for improving internal management is huge in the three regions of China mainland, but the advancement of technical level only in the Central and Western is significant. (4) Geographical location has the most impact on wind power generation efficiency, followed by technical progress and carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency.


2012 ◽  
Vol 608-609 ◽  
pp. 611-614
Author(s):  
Jun Jie Kang ◽  
Wei Duan ◽  
Ming Tao Yao

The components of wind power cost are analyzed firstly, which provide an intuitive explanation for understanding the composition of wind power generation. And then a two-factor learning curve model is developed for forecasting future price of wind power. We use the model for practical forecasting and simulating wind power cost from 2012 to 2020, the results obtained demonstrate the credibility and validity of the model.


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