Marginal cost and congestion in the Italian electricity market: An indirect estimation approach

In this paper we construct an indirect measure of the supply marginal cost function for the main generators from the observed bid data in the Italian electricity market in the period 2004–2007. We compute the residual demand function for each generator, taking explicitly into account the issue of transmission line congestion. This procedure allows recovering correct zonal Lerner index and the implied measure of the marginal cost function. We find evidence of a stable U-shaped marginal cost function for three main Italian generators, but a flat function for ENEL, the former national monopolist. The policy relevance of our approach lies in the possibility to offer some empirical knowledge of the marginal cost function of each generator to the regulator to design appropriate policy measures geared to the promotion of competitive market conditions. We propose a new market surveillance mechanism, which is based on the principle of sanctioning excessive deviations from the estimated measure of the marginal cost function presented in this work.     

管道风险管理方法研究

按照管道风险管理的流程分别对管道风险评价、风险控制和决策支持、效能测试和响应进行了论述。针对目前国内管道行业的情况，提出了进行管道风险评价的有效方法及维护措施。着重介绍了国外管道风险可接受标准的情况，作为国内制定管道风险评价标准的参考。     

Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies

Recently, global warming and its effects have become one of the most important themes in the world. Under the Kyoto Protocol, the EU has agreed to an 8% reduction in its greenhouse gas (GHG) emissions by 2008–2012. The GHG emissions (total GHG, CO₂, CO, SO₂, NO₂, E (emissions of non-methane volatile organic compounds)) covered by the Protocol are weighted by their global warming potentials (GWPs) and aggregated to give total emissions in CO₂ equivalents. The main subject in this study is to obtain equations by the artificial neural network (ANN) approach to predict the GHGs of Turkey using sectoral energy consumption. The equations obtained are used to determine the future level of the GHG and to take measures to control the share of sectors in total emission. According to ANN results, the maximum mean absolute percentage error (MAPE) was found as 0.147151, 0.066716, 0.181901, 0.105146, 0.124684, and 0.158157 for GHG, SO₂, NO₂, CO, E, and CO₂, respectively, for the training data with Levenberg–Marquardt (LM) algorithm by 8 neurons. R² values are obtained very close to 1. Also, this study proposes mitigation policies for GHGs.     

Reducing energy-related CO2 emissions using accelerated weathering of limestone

The use and impacts of accelerated weathering of limestone (AWL; reaction: CO₂+H₂O+CaCO₃→Ca²⁺+2(HCO₃⁻) is explored as a CO₂ capture and sequestration method. It is shown that significant limestone resources are relatively close to a majority of CO₂-emitting power plants along the coastal US, a favored siting location for AWL. Waste fines, representing more than 20% of current US crushed limestone production (>10⁹ tonnes/yr), could provide an inexpensive or free source of AWL carbonate. With limestone transportation then as the dominant cost variable, CO₂ mitigation costs of $3-$4/tonne appear to be possible in certain locations. Perhaps 10–20% of US point–source CO₂ emissions could be mitigated in this fashion. It is experimentally shown that CO₂ sequestration rates of 10⁻⁶ to 10⁻⁵ moles/sec per m² of limestone surface area are achievable, with reaction densities on the order of 10⁻² tonnes CO₂ m⁻³day⁻¹, highly dependent on limestone particle size, solution turbulence and flow, and CO₂ concentration. Modeling shows that AWL would allow carbon storage in the ocean with significantly reduced impacts to seawater pH relative to direct CO₂ disposal into the atmosphere or sea. The addition of AWL-derived alkalinity to the ocean may itself be beneficial for marine biota.     

Modeling and evaluating information leakage caused by inferences in supply chains

While information sharing can benefit supply chains significantly, it may also have an adverse effect, namely, information leakage. A limitation common to many existing solutions for preventing information leakage in supply chains is that they rely, either implicitly or explicitly, upon two unrealistic assumptions. First, what information is confidential is well known. Second, confidential information will not be revealed, if only it is not shared, regardless of how much other information is being shared. As we shall show in this paper, those assumptions are not always true due to potential information leakage caused by inferences. Specifically, we propose a conceptual model of such information leakage. The model will enable companies in a supply chain to better understand how their confidential information may be leaked through inferences. On the basis of the proposed conceptual model, we then devise a quantitative approach to evaluating the risk of information leakage caused by inferences when a given amount of information is shared. The quantitative approach will allow companies in a supply chain to measure and consequently mitigate the risk of information leakage. Finally, we discuss a case study to illustrate how the proposed approaches work in practice.     

Sources and mitigation of methane emissions by sectors: A critical review

The environmental community rightly recognizes global warming as one of the gravest threats to the planet. Methane (CH₄), one of the greenhouse gases causing global warming, is emitted from a variety of sources and its concentration in atmosphere has increased dramatically over the last few centuries. Therefore, the increasing concentrations of methane are of special concern because of its effects on climate and atmospheric chemistry. Anthropogenic sources of methane can be collected under the titles of agriculture, energy, waste and industry on the basis of sectors. This paper aims at examining the past trends in emissions, the sources and mitigation strategies of the methane. As a result of the study, it is determined that the agricultural sector is the biggest source of methane emissions among the sectors. The energy, waste and industry follow the agricultural sources respectively.     

Monitoring,Warning, and Control of Rockburst in Deep Metal Mines

This paper reviews the recent achievements made by our team in the mitigation of rockburst risk. It includes the development of neural network modeling on rockburst risk assessment for deep gold mines in South Africa, an intelligent microseismicity monitoring system and sensors, an understanding of the rockburst evolution process using laboratory and in situ tests and monitoring, the establishment of a quantitative warning method for the location and intensities of different types of rockburst, and the development of measures for the dynamic control of rockburst. The mitigation of rockburst at the Hongtoushan copper mine is presented as an illustrative example.     

阀室引压管放电烧蚀失效分析

近年来,我国油气管道沿线阀室遭受的交、直流电干扰日益严重,由此引发的阀室引压管放电烧蚀问题逐渐凸显,亟需开展相关研究来弄清阀室引压管放电烧蚀的规律和机制。为此,以西气东输天然气管道某阀室引压管的放电烧蚀为例,搭建了实验室放电烧蚀平台,采用实验室模拟实验、微观分析以及现场测试相结合的方法,对该阀室引压管放电烧蚀的规律和机制进行了研究。结果表明:(1)当两根引压管间的交直流电压差大于4 V且存在接触引弧时便可以观察到明显的放电现象;(2)随着引压管间电压差和回路电流的增大,其能量升高,引压管放电烧蚀越严重;(3)直流放电烧蚀情况下阴、阳极呈现出明显不同的烧蚀形貌,阳极区烧蚀更加严重,其烧蚀坑呈现凹坑且烧蚀坑中没有明显的烧蚀产物沉积,阴极区烧蚀深度较浅,表面沉积一层烧蚀产物,而交流放电烧蚀情况下阴阳极烧蚀区域形貌基本一致,无明显差异。结论认为:该阀室的引压管放电现象是一种弧光放电,可以通过固定引压管、增大引压管间距以及阀室的交直流排流等措施来避免该现象的发生。     

Thermal performance and embodied energy analysis of a passive house – Case study of vault roof mud-house in India

This paper investigates thermal performance of an existing eco-friendly and low embodied energy vault roof passive house (or mud-house) located at Solar Energy Park of IIT Delhi, New Delhi (India). Based on embodied energy analysis, the energy payback time for the mud-house was determined as 18 years. The embodied energy per unit floor area of R.C.C. building (3702.3 MJ/m²) is quiet high as compared to the mud-house (2298.8 MJ/m²). The mud-house has three rooms with inverted U-shape roof and remaining three rooms with dome shape roof. A thermal model of the house consisting of six interconnected rooms was developed based on energy balance equations which were solved by using fourth order Runge Kutta numerical method. The predicted six room air temperatures were found in good agreement with the experimental observed data on hourly basis in each month for one year. The annual heating and cooling energy saving potential of the mud-house was determined as 1481 kW h/year and 1813 kW h/year respectively for New Delhi composite climate. The total mitigation of CO₂ emissions due to both heating and cooling energy saving potential was determined as 5.2 metric tons/year. The annual carbon credit potential of mud-house was determined as € 52/year. Similar results were obtained for the different climatic locations in India.     

Revisiting CO2 mitigation potential and costs in China’s electricity sector

To improve the reliability of sectoral mitigation potential and cost analysis, this paper made an in-depth exploration into China’s electricity sector’s thermal efficiency and inner structure. It is found that unlike what many literatures portray, China is actually among the world’s leaders in coal-fired power plants’ generating efficiencies; besides, although there are still numerous small and inefficient generating units in the current generation fleet, many of them are in fact playing important roles in supporting local economic development, meeting peak load needs, balancing heat and electricity supply and providing job opportunities to the local economy, therefore their existence does not necessarily mean low-cost mitigation potential. Given the efficiency and structural characteristics of China’s electricity sector, it is pointed out that some other mitigation options, such as demand side management, IGCC and renewable energy as well as the break-through of CCS technology may play an even more important role in emission reduction. Considering the significant lock-in effects in electricity sector, it is warned that China, if continues putting majority investment in large and advanced coal-fired generating units, will face another round of chasing-after for the new and advanced renewable generation technologies. Therefore China should put more efforts in renewable generation technologies now.