A Transmission Congestion Cost Allocation Method in Bilateral Trading Electricity Market

Bilateral trading in electricity is one of the typical deregulated power market trading methods and it has its own way to calculate and allocate congestion cost. In this paper, using as a practical bilateral structure example, the British electricity market is stated in details especially the operation mechanism and the methodology of imbalance settlement. A corresponding congestion cost allocation method for bilateral market is introduced briefly by equations and is simulated in a modified IEEE-14 bus model to investigate its pros and cons.

Daily rolling estimation of carbon emission cost of coal-fired units considering long-cycle interactive operation simulation of carbon-electricity market

The high overlap of participants in the carbon emissions trading and electricity markets couples the operations of the two markets.The carbon emission cost(CEC)of coal-fired units becomes part of the power generation cost through market coupling.The accuracy of CEC calculation affects the clearing capacity of coal-fired units in the electric power market.Study of carbon–electricity market interaction and CEC calculations is still in its initial stages.This study analyzes the impact of carbon emissions trading and compliance on the operation of the electric power market and defines the cost transmission mode between the carbon emissions trading and electric power markets.A long-period interactive operation simulation mechanism for the carbon–electricity market is established,and operation and trading models of the carbon emissions trading market and electric power market are established.A daily rolling estimation method for the CEC of coal-fired units is proposed,along with the CEC per unit electric quantity of the coal-fired units.The feasibility and effectiveness of the proposed method are verified through an example simulation,and the factors influencing the CEC are analyzed.

Investigation into the Computational Costs of Using Genetic Algorithm and Simulated Annealing for the Optimization of Explicit Friction Factor Models

Research reports show that the accuracies of many explicit friction factor models, having different levels of accuracies and complexities, have been improved using genetic algorithm (GA), a global optimization approach. However, the computational cost associated with the use of GA has yet to be discussed. In this study, the parameters of sixteen explicit models for the estimation of friction factor in the turbulent flow regime were optimized using two popular global search methods namely genetic algorithm (GA) and simulated annealing (SA). Based on 1000 interval values of Reynolds number (Re) in the range of and 100 interval values of relative roughness () in the range of , corresponding friction factor (f) data were obtained by solving Colebrook-White equation using Microsoft Excel spreadsheet. These data were then used to modify the parameters of the selected explicit models. Although both GA and SA led to either moderate or significant improvements in the accuracies of the existing friction factor models, SA outperforms the GA. Moreover, the SA requires far less computational time than the GA to complete the corresponding optimization process. It can therefore be concluded that SA is a better global optimizer than GA in the process of finding an improved explicit friction factor model as an alternative to the implicit Colebrook-White equation in the turbulent flow regime.

Construction economic cost management under the market economy

Currently, how to further improve and perfect construction economic cost management,minimizing construction economic management cost and construction investment of the enterprise have become the important content for the daily management of construction enterprise managers. This article focuses on the construction economy under the conditions of market economy cost management, analyses related concepts and existing questions, and proposes targeted recommendations of the problem.

Reactive Power and FACTS Cost Models’ Impact on Nodal Pricing in Hybrid Electricity Markets

In a competitive environment reactive power management is an essential service provided by independent system operator taking into account the voltage security and transmission losses. The system operator adopts a transparent and non-dis-criminatory procedure to procure the reactive power supply for optimal deployment in the system. Since generators’ are the main source of reactive power generation and the cost of the reactive power should be considered for their noticeable impact on both real and reactive power marginal prices. In this paper, a method based on marginal cost theory is presented for locational marginal prices calculation for real and reactive power considering different reactive power cost models of generators’ reactive support. With the presence of FACTS controllers in the system for more flexible operation, their impact on nodal prices can not be ignored for wheeling cost determination and has also to be considered taking their cost function into account. The results have been obtained for hybrid electricity market model and results have also been computed for pool model for comparison. Mixed Integer Non-linear programming (MINLP) approach has been formulated for solving the complex problem with MATLAB and GAMS interfacing. The proposed approach has been tested on IEEE 24-bus Reliability Test System (RTS).

Review of Methods to Calculate Congestion Cost Allocation in Deregulated Electricity Market

With maturing deregulated environment for electricity market, cost of transmission congestion becomes a major issue for power system operation. Uniform Marginal Price and Locational Marginal Price (LMP) are the two practical pricing schemes on energy pricing and congestion cost allocation, which are based on different mechanisms. In this paper, these two pricing schemes are introduced in detail respectively. Also, the modified IEEE-14-bus system is used as a test system to calculate the allocated congestion cost by using these two pricing schemes.

Green Marketing and Sustainable Development of Garment Industry -- A Game between Cost and Profit

This paper introduces how green marketing influences the sustainable development of garment industry. It analyzes the cost and profit to implement green marketing, both in a short term and in the long run. In a short term, the cost may increase. However, in the long run, the income will be higher than the cost. There＇re five reasons： reduced cost, expanding export by breaking down green barriers, establishing the enterprise＇s green image, being more competitive and avoiding green tax. Therefore, implementing green marketing is pivotal to the sustainable development of garment industry.

Technology and Market Prospect Analysis of Low Cost Small-lift Launch Vehicles for Small Satellites

The technological development status of new generation low cost small-lift launch vehicles applied to small satellite launch is investigated in this paper. The development trends are summarized, including low cost and rapid response capability, utilization of mature rocket and missile technology, the development of mobile launch technology adopting air-based platforms and use of innovative technology. Moreover, the external power and internal demand of the small-lift launch vehicle are analyzed and the market prospect is forecasted. Finally, proposals for the development of small-lift launch vehicles are put forward, including exploration of the potential of existing rocket and missile technology, development of multi-platform mobile launch technology and further application of innovative technology and ideas.

市场化程度对自主创新配置效率的影响——基于Cost-Malmquist指数的高技术产业行业面板数据分析

在中国经济转型特定的制度环境中,内、外开放两种不同的市场导入机制对创新资源配置效率的影响完全不同。本文从创新结构红利的成本视角采用三阶段Cost-Malmquist指数法将中国高技术产业整体、内资和外资部门的自主创新资源配置效率拆分为分配效率(企业家要素组合的效率)和价格前沿的变化,得出:我国内资部门企业家要素组合能力不断提升,却面临更加扭曲的要素价格约束,导致创新资源配置效率提高受限并影响了结构红利的获得。用动态面板数据模型验证市场化程度对自主创新配置效率的影响得到:第一,政府的税收掠夺显著增强整体和内资部门长、短期的成本约束,使要素价格逼近边际成本前沿面,提高了创新资源配置效率,但以企业家组合资源效率的损失为代价;政府直接资金扶持仅具有短期效应,长期则加大要素价格扭曲、负向影响创新资源配置效率;第二,较之于对外开放,对内开放程度显著缓解了内资部门要素价格扭曲,使要素价格逼近边际成本前沿面,有利提高自主创新资源配置效率,并具有长期效应。对外开放程度只能短期提高企业家的要素组合效率、无长期效应;第三,金融、信贷市场和技术市场发育程度无论长、短期均显著缓解要素市场价格扭曲、使要素价格逼近边际成本前沿面,显著提升企业家的要素组合效率,提高了自主创新配置效率。

Study on the House Market and Pricing——A Case Study of Nanjing's Building Groups

In this paper,some methods of economics and management were used.Based on analysis of the house market structure,the factors influencing the house price,the house pricing methods and strategies were proposed.Then a case in Nanjing was studied,and the results show:firstly,the house market is a monopolistic competitive market,and in some places it is even an oligopoly market;secondly,the cost-plus pricing method is reasonable and scientific,and the specificity is the base of pricing;thirdly,the average price of a building groups in Nanjing should be 8 906$/sq.m.Finally,aiming at the house pricing,some countermeasures and suggestions are put forward in this paper.

Analysis on current situation and future development of China＇s methane chloride market

2005年我国甲烷氯化物生产能力为1124．6kt，总需求量为925kt。介绍了国内甲烷氯化物现状，分析了国内生产装置能力、产品成本、生产厂家和产品市场状况，对产品发展前景和生产能力进行预测，提出了我国甲烷氯化物产业发展应注意的事项和建议。

Study on the model of an insurer's solvency ratio in Markov-modulated Brownian markets

In this paper the insurer＇s solvency ratio model with or without jump diffusion process in the presence of financial distress cost is constructed, where an insurer＇s solvency ratio is characterized by a Markov-modulated dynamics. By Girsanov＇s theorem and the option pricing formula, the expected present value of shareholders＇ terminal payoff is provided.

A critique of Porter＇s cost leadership and differentiation strategies

Porter identifies high market share with cost leadership, citing GM as a successful practitioner of this strategy. However, GM became a market share leader in the American automobile industry due to a strategy of market segmentation, differentiation and a broad scope shaped during the 1920s. Porter argues that cost leadership and differentiation offer an equally viable path to competitive success. Nevertheless, a differentiation strategy based on superior quality compared to competition is more profitable than cost leadership strategy. It can lead a business to become a market share leader, and consequently even a low-cost leader. Research indicates that differentiation and cost leadership can co-exist. However, Porter insists that each generic strategy requires a different culture and a totally different philosophy. The problem is that Porter＇s generic strategies are too broad. It is not his logic that is flawed, but his basic premise that prescribes cost leadership strategy as the only route to market share leadership, and presents a narrow view of differentiation with a unique product--sold at a premium price--on the one hand, and a ＂standard, or no-frills＂ product on the other. Mintzburg （1988） says Porter＇s cost leadership strategy should be called ＂price differentiation＂： a strategy that is based on a lower price than that of the competition. He suggests that business strategy has two dimensions： differentiation and scope. Thus, setting scope aside, competitive strategy has only one component： differentiation. So, the key question is not whether to differentiate, but how？ First, make customer-perceived quality as the foundation of competitive strategy because it is far more critical to long-term success than any other factor. Second, serve the middle class by competing in the mid-price segment, offering better quality than the competition at a somewhat higher price. It is this path that can lead to market share leadership--a strategy that can be both profitable--and sustainable.

Blockchain Economics and Marketing

Blockchain as a supporting platform for various cryptocurrencies is a technology that will not sell by itself, meaning that its success could not be built on technical efficiency of an algorithm alone. Understanding the real economic problems that the technology should aim at solving is a first step towards identifying the marketing beachheads for the technology. The branding of any blockchain can be categorized under an economic framework pointing to the types that have the potentials of being sustainable and disruptive. Selection of appropriate beachheads, verticals, services etc. should aim to promote the exchange of real goods and services, and/or the utilization the accounting/data advantage of the technology.

Cost-Effective Machining of Granite by Reducing Tribological Interactions

In order to implement cost-effective machining of gr anite materials with diamond impregnated tools, we should realize low tool w ear, low energy consumption, and high cutting efficiency, while the accuracy of the workpiece surfaces are maintained to be satisfactory. It is understood that the main factors affecting the tool wear, the energy, and the efficiency during the machining process are related to the tribological interactions that occur at the interface between the diamond tool surface and the workpiece. Based on this consideration, we propose a new machining method to machine granite materia ls to achieve improved cost effectiveness. In the proposed method, the tribologi cal interactions are maintained to a minimum. Based on the analyses of the experimental results, the following conclusions can be drawn: The wear performance is greatly dependent on the machining parameters and their combination. Therefore, optimum machining parameters must be set up at first in order to optimize the tribological characteristics of segments and thereby sawbl ade performance. These may be realized by balancing the energy expended by frict ion and the mechanical load on diamond crystal. The geometry and structure of diamond segments are another important criterion f or the diamond saw blade. Using a seven-layer structure for multi-blades sawin g and applying segments with side slots for trimming application had greatly red uced the frictions in the sawing processes. The wetting and bonding between diamonds and matrix alloys have been considered as the prerequisite for high wear performance of the segments. Diamonds coated w ith Ti-Cr alloy by a unique technique can effectively improve its wetting c apability and provide more storage space for debris, thereby reducing friction i nteractions.

Forecasting the Impact of CCGT-CCS on the UK’s Electricity Market by LCOE

To achieve the target for building a low-carbon economy, the UK will have to build more low-carbon power plants to reduce carbon dioxide emissions from electricity generation. However, renewable energy is difficult to meet the increasing energy demand and keep lights on. This limitation of renewable could be solved by coal and gas-fired power station fitted with carbon capture storage (CCS) technology. CCS technology could capture up to 90% of carbon dioxide from emissions and allow fossil fuel power station to provide continuous low-carbon electricity power. This paper presents the levelised cost of electricity of CCGT with CCS and compared with renewable technology to forecast the impact of CCGT with CCS on the UK’s electricity market.

Allocation of congestion relief cost based on flow change on the congested facilities

Congestion management in an electricity market is introduced in this paper and a new method of allocating congestion cost to transactions is proposed. The proposed method is a two-step process, in which the total congestion cost is firstly allocated to congested facilities and then to each transaction involved. The cost of relieving a congested facility allocated to each transaction is proportional to the power flow change on the congested facility caused by the transaction. The more the power flow change is on the congested facility caused by the transaction, the deeper the degree of involvement by the transaction. Therefore, cutting down the magnitudes of such transactions contributes to relieving congestion. Test results on a 5-bus system indicate that the proposed method can reflect reasonably the degree of involvement by each transaction in the congestion and provide correct price signals contributing to relieving congestion.

Real estate market efficiency: Evidence from Chinese cities

The price in an efficient market can adjust to new information instantaneously to eliminate any arbitrage opportunities. Such a phenomenon is not always observed in the real estate market because of its unique characteristics, which include fixed location, heterogeneity and low transaction frequency. Using housing and office market data of some major cities in China, this paper examines the return and risk characteristics in these markets and assesses market efficiency. It finds that a number of instruments, including lagged quarterly and annual excess returns and, to some extent, the measure of the deviation of price from the intrinsic value, predict future returns. Therefore, weak form and semi-strong form efficiency can both be rejected in these real estate markets. These empirical findings suggest that there is slow price adjustment in real estate markets in China, which may be attributed to inefficient information transmission systems and long searching time in the markets.

Initial Labor Market Conditions and Individual Employability

Initial labor market conditions affect how individuals build their human capital and look for jobs and thus can have long-term effects on their income levels,work performance,and career development.Based on data from the Urban Household Survey(UHS)of urban households in China from 1986 to 2009,we perform an empirical test of how initial labor market conditions affect the employability of individuals.Our research shows that people’s future incomes suffer if they start out in an adverse job market.Each percentage point of increase in the unemployment rate at an individual’s entry into the labor market is associated with a two-percentage-point drop in his or her average annual income.Even after looking at different parts of the job market and sample groups,this conclusion still holds.In the context of global economic instability,our findings may assist government policymakers in addressing adverse labor market conditions.