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Exploring price effects on the residential water conservation technology diffusion process: a case study

Junying CHU, Hao WANG, Can WANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 688-698 doi: 10.1007/s11783-013-0559-3

Abstract: water conservation technology adoption process under different price scenarios with disaggregate waterprice by the government.Applied to Tianjin city, four scenarios of water price evolutions for a long-term perspective (from yearconstant annual rate), SP2 (Scenario of Price increase every four years) and SP3 (Scenario of PriceThe water price signals can change the market shares of different water appliances, as well as the water

Keywords: technology selection     model optimization     water price     scenario analysis     consumer behavior    

Can the Shanghai LNG Price Index indicate Chinese market?An econometric investigation using price discovery theory

Yeli ZENG, Cong DONG, Mikael HÖÖK, Jinhua SUN, Danyang SHI

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 726-739 doi: 10.1007/s11708-020-0701-4

Abstract: Assessments of the Shanghai LNG Price Index, first released in 2015, are vital for improving the understandingThis paper, using the LNG price index data from the Shanghai Petroleum and Gas Exchange (SHPGX) coupledThe results show that the LNG price index of the SHPGX has already exhibited a long-term equilibriumand short-term adjustment mechanisms to reflect the average price level and market movements, but themarket information transparency and price discovery efficiency of the index are still inadequate.

Keywords: liquefied natural gas     price index     Shanghai Petroleum and Gas Exchange     price discovery     market reforms    

Rural Drinking Water Supply in Poverty Alleviation Areas in China

Ji Qinghua, Dong Shuoxun, Cao Xiaofeng, Liu Huijuan, Qu Jiuhui

Strategic Study of CAE 2021, Volume 23, Issue 5,   Pages 163-168 doi: 10.15302/J-SSCAE-2021.05.021

Abstract:

Ensuring the safety of rural drinking water is a basic component of povertyStudying the strategy for ensuring drinking water safety in areas that were lifted out of poverty isIn this article, we study the current situation and problems of rural drinking water in poverty alleviationTo guarantee the safety supply of rural drinking water in poverty alleviation areas, we suggest thatfocusing on water price should be established for rural water supply.

Keywords: rural drinking water     poverty alleviation areas     sanitary standards for drinking water     water price    

Does oil price affect the value of firms? Evidence from Tunisian listed firms

Kaouther ZAABOUTI,Ezzeddine BEN MOHAMED,Abdelfettah BOURI

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 1-13 doi: 10.1007/s11708-016-0396-8

Abstract: A new debate on the potential impact of oil price changes on the value of firms was initiated in this

Keywords: industrial Tunisian firms     oil price     value of firm     stochastic frontier approach    

Macroeconomic impacts of oil price volatility: mitigation and resilience

Zoheir EBRAHIM, Oliver R. INDERWILDI, David A. KING

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 9-24 doi: 10.1007/s11708-014-0303-0

Abstract: Numerous studies have addressed the effect of price volatility on specific economic parameters.literature lacks a comprehensive review of the interactions between global macroeconomic performance and oil pricePrice volatility is intrinsic in commodity markets, but has been advancing at a faster rate in the crude

Keywords: conventional oil     price volatility     macroeconomy     economic stability     energy security    

Direct energy rebound effect for road transportation in China

Frontiers of Engineering Management   Pages 597-611 doi: 10.1007/s42524-023-0276-y

Abstract: this study employed panel cointegration and panel error correction models, accounting for asymmetric price

Keywords: road transportation     direct energy rebound effect     asymmetric price effects     panel data model    

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networksPrice forecasting is very important for online trading, e-commerce and power system operation.To perform this price forecasting, the market knowledge is utilized to optimize the selection of inputdata for the electricity price forecasting tool.The data used for this price forecasting is obtained from the PJM website.

Keywords: day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving    

An approach to locational marginal price based zonal congestion management in deregulated electricity

Md SARWAR,Anwar Shahzad SIDDIQUI

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 240-248 doi: 10.1007/s11708-016-0404-z

Abstract: Therefore, to manage congestion, a locational marginal price (LMP) based zonal congestion management

Keywords: locational marginal price (LMP)     distributed generation     pool market     deregulated electricity market     congestion    

Optimal Scheme for the Daily Operation of Northeastern Oil Pipeline Network Based on the Peak-valley Price

Cui Hui,Wu Changchun,Wu Jianglin,Sun Qingfeng

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 69-73

Abstract: As for its operational actuality on the basis of the peak - valley price, the optimization of the dailyVirtually, the advantage of the valley price is used to increase the oil throughput rate in the valleySome fundamental rules for the optimization of the daily operation scheme based on the peak-valley price

Keywords: northeastern oil pipeline network     peak-valley price     daily operation     optimization    

Toward energy finance market transition: Does China’s oil futures shake up global spots market?

Frontiers of Engineering Management   Pages 409-424 doi: 10.1007/s42524-022-0207-3

Abstract: This study explores the price leadership of China’s crude oil futures and identifies its price co-movementFirst, we find that for oil spots under different gravities, China’s oil futures is only a net priceSecond, for oil spots under different sulfur contents, China’s oil futures still has weak price leadershipThird, for oil spots under different geographical origins, China’s oil futures shows price leadershipprice co-movement.

Keywords: China’s oil futures     price information spillover     price co-movement     BK spillover index     BDECO model    

Study on ship maintenance cost modeling analysis based on price change

Zhang Huaiqiang,Jiang Tiejun and Wang Meng

Strategic Study of CAE 2015, Volume 17, Issue 5,   Pages 71-75

Abstract:

The relationship between ship equipment maintenance cost and price change was determined, throughanalysis of price chance effect on ship maintenance cost.By econometric models, based on the producer price index and different type of ship maintenance costtime series data, the influence law of price change on ship maintenance cost was studied and the stableis a long-term stable equilibrium, but the price change influence on ship equipment maintenance cost

Keywords: ship maintenance cost;price index;cointegration test    

Optimal portfolio design of energy storage devices with financial and physical right market

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 95-104 doi: 10.1007/s11708-021-0788-2

Abstract: profit of energy storage and avoid the imbalance of power supply and consumption and the risk of node priceresults show that the portfolio models proposed in this paper can effectively avoid the risk of market price

Keywords: portfolio     node price fluctuation     transmission right     energy storage right     risk aversion    

Economic Analysis of Residential Distributed Solar Photovoltaic

Xi Luo,Jia-ping Liu

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 125-130 doi: 10.15302/J-FEM-2015031

Abstract: Under the huge challenges of global energy conservation, emission reduction and energy security, distributed solar photovoltaic industry has become the key means to achieve economic restructuring and low carbon economy. Based on System Advisor Model software, the authors choose Baoji as the sample plot. Household load, unit investment, loan interest rate and loan fraction are used as influence factors to analyze the economic benefits of distributed solar photovoltaic in China. The result demonstrates that government incentives help to increase the profitability of distributed solar photovoltaic by a large extent; other factors that influence the profitability includes household load, unit investment cost, loan interest rate and loan fraction.

Keywords: distributed solar photovoltaic     internal rate of return     price ladder     government incentives    

Carbon payments in the Guanzhong–Tianshui region to control land degradation

Zixiang ZHOU, Yufeng ZOU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 246-253 doi: 10.15302/J-FASE-2017144

Abstract: A price on carbon is expected to generate demand for carbon offsets.In a market-based framework, the carbon price should be high enough to compensate for opportunity costsagriculture and from carbon plantings (both monoculture and ecological plantings) under five carbon-pricesequestration is 34 Mg·hm ·a , and the average annual payment increased to 1146 CNY·hm at a medium carbon price

Keywords: carbon-price     carbon sequestration     economic returns     Guanzhong–Tianshui economic region     net present value    

DSM in an area consisting of residential, commercial and industrial load in smart grid

Balasubramaniyan SARAVANAN

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 211-216 doi: 10.1007/s11708-015-0351-0

Abstract: With the latest introduction of the demand side management (DSM) in smart grids, the power distribution units are able to modify the load schedules of the consumers. This involves a co-operative interaction of the utility and the consumers so as to achieve customer load modifications in which the customer, utility and society all are benefited. The interaction is performed with the help of the devices known as the smart meter. This paper shows the use of game theory and logical mathematical expressions in order to achieve the objectives. The objectives are to minimize the peak to average ratio (PAR) and the energy cost. The outcome of the game between supplier and customers helps to shape the load profile. The design proposed in this paper is very user-friendly and is based on simple logarithmic programming computations. In this paper, residential, commercial and industrial types of loads are taken into account. A basic 24 h load schedule along with the fluctuating prices at each hour of the day is forecasted by the supplier of the various shiftable and non-shiftable loads and then that schedule is conveyed to the user. The users are encouraged to shift their high load devices to off-peak hours which will not only reduce their electricity costs but also substantially reduce the PAR in the load demand.

Keywords: demand side management (DSM)     smart grids     peak to average ratio (PAR)     smart meters and logarithmic price    

Title Author Date Type Operation

Exploring price effects on the residential water conservation technology diffusion process: a case study

Junying CHU, Hao WANG, Can WANG

Journal Article

Can the Shanghai LNG Price Index indicate Chinese market?An econometric investigation using price discovery theory

Yeli ZENG, Cong DONG, Mikael HÖÖK, Jinhua SUN, Danyang SHI

Journal Article

Rural Drinking Water Supply in Poverty Alleviation Areas in China

Ji Qinghua, Dong Shuoxun, Cao Xiaofeng, Liu Huijuan, Qu Jiuhui

Journal Article

Does oil price affect the value of firms? Evidence from Tunisian listed firms

Kaouther ZAABOUTI,Ezzeddine BEN MOHAMED,Abdelfettah BOURI

Journal Article

Macroeconomic impacts of oil price volatility: mitigation and resilience

Zoheir EBRAHIM, Oliver R. INDERWILDI, David A. KING

Journal Article

Direct energy rebound effect for road transportation in China

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

An approach to locational marginal price based zonal congestion management in deregulated electricity

Md SARWAR,Anwar Shahzad SIDDIQUI

Journal Article

Optimal Scheme for the Daily Operation of Northeastern Oil Pipeline Network Based on the Peak-valley Price

Cui Hui,Wu Changchun,Wu Jianglin,Sun Qingfeng

Journal Article

Toward energy finance market transition: Does China’s oil futures shake up global spots market?

Journal Article

Study on ship maintenance cost modeling analysis based on price change

Zhang Huaiqiang,Jiang Tiejun and Wang Meng

Journal Article

Optimal portfolio design of energy storage devices with financial and physical right market

Journal Article

Economic Analysis of Residential Distributed Solar Photovoltaic

Xi Luo,Jia-ping Liu

Journal Article

Carbon payments in the Guanzhong–Tianshui region to control land degradation

Zixiang ZHOU, Yufeng ZOU

Journal Article

DSM in an area consisting of residential, commercial and industrial load in smart grid

Balasubramaniyan SARAVANAN

Journal Article