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Xue Y.,State Grid Corporation of China | Li T.,Nanjing Normal University | Yin X.,Stanwell Corporation Ltd | Dong Z.,University of Newcastle | And 3 more authors.
IEEE Transactions on Smart Grid

It is well known that power system operations are often constrained by transmission congestions which reflect the physical restrictions intrinsic to the power system itself. The power market running on top of the system is also constrained by factors such as primary energy, emissions, technical support, as well as multi-player gaming among market participants including regulators. In this paper, we propose a new concept of generalized congestions to describe those factors affecting both the competition level and the efficiency of power markets. Market power is a market participant's capability in influencing market efficiency with the aid of generalized congestions; generalized market power reflects its capability to influence the social welfare. This paper analyzes generalized congestions, market power and generalized market power in many aspects including taxonomy, evaluation indexes, control measures. and the corresponding research methods. Based on the experimental economics method, a research framework is proposed to facilitate comprehensive studies on the influences of generalized congestions on market power. © 2013 IEEE. Source

Simshauser P.,AGL Energy | Nelson T.,AGL Energy | Doan T.,Stanwell Corporation Ltd
Electricity Journal

An analysis suggests that incremental GST collections from electricity accounts are more than adequate to eliminate fuel poverty. This could facilitate access to efficient electric appliances and in-home displays for fuel-poor households. The widespread shift to smart meters and time-of-use tariff structures is also required to address the source of the problem - rising peak demand. © 2011 Elsevier Inc. Source

Simshauser P.,AGL Energy | Nelson T.,AGL Energy | Doan T.,Stanwell Corporation Ltd
Electricity Journal

A characteristic of advanced economies like Australia is continual growth in household income and plunging costs of electric appliances, resulting in rapid growth in peak demand. The power grid in turn requires substantial incremental generating and network capacity, which is utilized momentarily at best. The result is the Boomerang Paradox, in which the nation's rising wealth has created the pre-conditions for fuel poverty. © 2010 Elsevier Inc. Source

Liu G.,South China University of Technology | Zhao J.H.,Zhejiang University | Wen F.,Zhejiang University | Wen F.,University of New South Wales | And 2 more authors.
IET Generation, Transmission and Distribution

Greenhouse gas, especially CO2, emissions impact on global climate has been widely recognised. Emissions reduction has become an important issue. Efforts have been made globally in establishing emission policies and protocols. However, considering the fact that different countries have different carbon reduction schemes, and significant variations are still possible for existing schemas, future CO2 prices can be highly uncertain. The power generation sector will be significantly affected by changing policies and therefore significant uncertainties will be involved in the operation and investment processes. Moreover, investments in thermal power plants are also influenced by many other uncertain factors such as fuel prices, spot electricity prices and the investment behaviours of rival generation companies. An appropriate method is urgently needed to model these uncertainties in the investment process. A novel framework of generation investment decision-making is proposed herewith. The option game theory is employed to handle multiple uncertain factors. The investment decision making will be solved with a Barraquand-Martineau option pricing model-based method. Case studies are conducted to assess the performance of the proposed framework. © 2010 The Institution of Engineering and Technology. Source

Cousins A.,CSIRO | Cottrell A.,CSIRO | Lawson A.,Stanwell Corporation Ltd | Huang S.,CSIRO | Feron P.H.M.,CSIRO
Greenhouse Gases: Science and Technology

The CSIRO is involved in three CO 2 capture pilot plants operating at different coal-fired power stations throughout Australia. The most recently completed of these is the Tarong CO 2 capture pilot plant located at Tarong power station, Nanango, Queensland. The first phase of the experimental program with this pilot plant included operation with monoethanolamine (MEA). This involved parametric studies, process modifications, and finally implementation of 24 h operation. Operation of the pilot plant has shown MEA to be effective in capturing CO 2 from the flue gas from Tarong Power Station. CO 2 capture efficiencies of up to 94%, and regeneration energies as low as 3.6 MJ/kgCO 2 have been achieved. The design of the pilot plant was completed using a commercially available process modeling software tool. Results obtained from the pilot plant were then compared to the model predictions including temperature, solvent CO 2 loading, and CO 2 gas concentration profiles through the absorber column. A good match has been obtained between the modeling and pilot plant data, verifying the software can be used to predict the performance of the pilot plant when operating on MEA. During this project, the rich-split process modification was also evaluated. The results suggest that the rich-split modification can achieve some reduction in reboiler duty and a considerable reduction in the condenser duty. The amount of reduction is dependent on plant design, particularly the efficiency of the lean/rich heat exchanger. © 2012 Society of Chemical Industry and John Wiley & Sons, Ltd. Source

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