Electricity Sale Price Research Articles

РЕТРОСПЕКТИВНИЙ АНАЛІЗ ВАРТОСТІ ПОХИБКИ ПРОГНОЗУ ДЛЯ ПОБУДОВИ БАЛАНСУЮЧИХ ГРУП ВИРОБНИКІВ З ВІДНОВЛЮВАНИХ ДЖЕРЕЛ ЕНЕРГІЇ

The significant increase in the installed capacity of power plants with renewable energy sources and the imbalance of the financial system of the wholesale electricity market of Ukraine prompted the Ministry of Energy to develop an alter-native support mechanism for RES producers. The introduction of a feed-in tariff (FIP), which compensates for the difference between the actual sale price of electricity and the "green" tariff, can help producers receive more money immediately after the electricity is released. However, studies have shown that exiting a balancing group without form-ing a new one can lead to increased costs associated with forecasting error. It is important for manufacturers to form independent balancing groups to compensate for negative consequences. The findings of the article show that there is no single optimal balancing group for all manufacturers, but some groups are often repeated. Switching to a separate balancing group can have a significant economic effect for the manufacturer, reducing the cost of forecasting error compared to being solely responsible for the imbalance. However, the balancing group determined by the method of retrospective calculation of the cost of the forecast error is not stable in the long term. Ref. 8, fig. 2, tab. 3 Key words: renewable sources, electricity market, short-term forecasting, forecast interval, deep learning neural net-works, cost estimation.

Thermodynamic and exergoeconomic analysis of an innovative cogeneration of power and freshwater based on gas turbine cycle

Thermodynamic and exergoeconomic analysis of an innovative cogeneration of power and freshwater based on gas turbine cycle

Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization

Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization

Merchant Energy Storage Investment Analysis Considering Multi-Energy Integration

In this paper, a two-stage model of an integrated energy demand response is proposed, and the quantitative relationship between the two main concerns of investors, i.e., investment return and investment cycle and demand response, is verified by the experimental data. Energy storage technology is a key means through which to deal with the instability of modern energy sources. One of the key development paths in the electricity market is the development by energy merchants of energy storage power plants in the distribution network to engage in a grid demand response. This research proposes a two-stage energy storage configuration approach for a cold-heat-power multi-energy complementary multi-microgrid system. Considering the future bulk connections of distributed power generation, the two most critical points of energy storage station construction are the power generation equipment and specific scenarios for serving the community, as well as the purchase and sale price of electricity for serving the community microgrid (which directly affects the investment revenue). Therefore, this paper focuses on analyzing the different impacts caused by these two issues; namely, the two most important concerns for the construction of energy storage configurations. First, the basic model enabling wholesale electricity traders to construct energy storage power plants is presented. Second, for a multi-microgrid system with a complementary cold-heat-power multi-energy scenario, a two-stage optimum allocation model is constructed, whereby the upper model calculates the energy storage allocation problem and the lower model calculates the optimal dispatch problem. The lower model’s dispatch computation validates the upper configuration model’s reasonableness. Finally, the two-layer model is converted to a single-layer model by the KKT condition, and the nonlinear problem is converted to a linear problem with the big-M method. The validity is proved via mathematical examples, and it is demonstrated that the planned energy storage plants by merchants may accomplish resource savings and mutual advantages for both users and wholesale power traders.

Optimal location of fast charging stations alongside pricing design from distribution company viewpoint considering renewable energy resource: A modified capacitated flow-capturing location model

Optimal location of fast charging stations alongside pricing design from distribution company viewpoint considering renewable energy resource: A modified capacitated flow-capturing location model

Comprehensive economic analysis and multi-objective optimization of an integrated power and freshwater generation cycle based on flash-binary geothermal and gas turbine cycles

Comprehensive economic analysis and multi-objective optimization of an integrated power and freshwater generation cycle based on flash-binary geothermal and gas turbine cycles

Climate change may impair electricity generation and economic viability of future Amazon hydropower

Climate change may impair electricity generation and economic viability of future Amazon hydropower

Economic analysis and risk assessment of biomass gasification CHP systems of different sizes through Monte Carlo simulation

Economic analysis and risk assessment of biomass gasification CHP systems of different sizes through Monte Carlo simulation

Environmental and economic implications of U.S. postconsumer plastic waste management

Environmental and economic implications of U.S. postconsumer plastic waste management

Optimisation of a renewable cooling and heating system using an integer-based genetic algorithm, response surface method and life cycle analysis

Optimisation of a renewable cooling and heating system using an integer-based genetic algorithm, response surface method and life cycle analysis

A Policy Effect Analysis of China’s Energy Storage Development Based on a Multi-Agent Evolutionary Game Model

Energy storage technology plays a significant role in the pursuit of the high-quality development of the electricity market. Many regions in China have issued policies and regulations of different intensities for promoting the popularization of the energy storage industry. Based on a variety of initial conditions of different regions, this paper explores the evolutionary process of electricity market players considering energy storage technology. The trilateral evolutionary game model is adopted to analyze the strategies of the power plant, the power grid, and the government. After assigning the model according to an actual situation, each equilibrium point corresponds to a real electricity market situation. The results indicate the following: (1) In the process of stabilizing, the role of “Advanced Imitators” leading the strategy of building energy storage changes between the power plant and the power grid. (2) In Eastern, Middle, and Southern China, the power plants and power grids on a greater-than-medium scale will choose to build energy storage without governmental regulations, due to the abundant net profit. (3) In the northeast of China, power plants with a medium-or-lower scale will choose not to build energy storage because of the relatively low on-grid price, and small power grids can make enough profits by operating energy storage facilities. (4) In Northern China, the large power plants and the medium power grids will choose to build energy storage due to the high electricity sale price and the resulting high profit. (5) In Western China, the small power plants and power grids cannot afford to build energy storage due to the low electricity price. The results lead to valuable policy suggestions for the local governments of China in promoting energy storage in the future. To meet the goal of energy storage popularization, regional electricity market plans need relevant policies based on its existing conditions, offering suitable external conditions for adding energy storage.

The impact of removing cross subsidies in electric power industry in China: Welfare, economy, and CO2 emission

The impact of removing cross subsidies in electric power industry in China: Welfare, economy, and CO2 emission

Exergoeconomic analysis and optimization of a hybrid Kalina and humidification-dehumidification system for waste heat recovery of low-temperature Diesel engine

Exergoeconomic analysis and optimization of a hybrid Kalina and humidification-dehumidification system for waste heat recovery of low-temperature Diesel engine

Techno-economic analysis of advanced adiabatic compressed air energy storage system based on life cycle cost

Techno-economic analysis of advanced adiabatic compressed air energy storage system based on life cycle cost

Economic model for an electric vehicle charging station with v ehicle‐to‐grid functionality

Energy consumption is increasing in parallel with the population and technological advancements. Albeit the energy efficiency efforts, industrial consumption, and transportation have quite important roles in this increase. The electric vehicles (EVs) are expected to constitute a positive solution to mitigate energy use in transportation. Increasing penetration of EVs into public transport provides new opportunities both for environmental sustainability and transportation infrastructure. To project the potential operator revenue, we set up a hybrid model (solar and storage), which optimizes scheduling for the EV charging unit and evaluates environmental and economic benefits. Different operational scenarios of PV-assisted charging stations will be simulated and solved with Rule-based decision making. Since regulations have an important role in building the optimization model, scenarios are created considering different European regulations. Uncertainties depending on the traffic jam (arrival-departure times), technological differences of the charging stations are encountered in the model. The results are compared among three different scenarios. Net present value of the system changes for different scenarios and electricity sale price is one of the main factors. This value tends to increase after an annual electricity sale price increase rate of 11%. Novelty statement In this study, the effect of different economic parameters on an electric vehicle charging station were analyzed. A system with electric vehicles, solar panel support, and external battery was mathematically modeled and a case study was done.

Planning methodology for anaerobic digestion systems on animal production facilities under uncertainty

Planning methodology for anaerobic digestion systems on animal production facilities under uncertainty

Power load demand response potential of secondary sectors in China: The case of western Inner Mongolia

Power load demand response potential of secondary sectors in China: The case of western Inner Mongolia

Life Cycle Cost Analysis of Biogas Production from Cerathophyllum demersum, Fucus vesiculosus and Ulva intestinalis in Latvian Conditions

Abstract Life cycle costs of co-digestion plant of cattle farm manure and locally available freshwater macrophyte C. demersum, marine brown algae F. vesiculosus, and marine green algae U. intestinalis; ratio 5:1) are analysed based on Latvian climatic and economic conditions. Biomass collection from nature and pre-treatment of biomass, biogas production, biogas treatment and utilization in combined heat and power plant are included in the boundaries. The weak points of scenarios are large capital investments, electricity sale price (and the application of feed-in tariff). As naturally grown algae and macrophytes are used, they are also sensitive to weather conditions each year as available amounts of biomass might change and decrease. Net Present Value is positive only for C. demersum with Internal Rate of Return of –14 % and Discounted Payback Period of 11 years.

An environmental and techno-economic analysis of shore side electricity

An environmental and techno-economic analysis of shore side electricity

Techno-economic optimization of the integration of an organic Rankine cycle into a molten carbonate fuel cell power plant

This study proposes a simple economic model to optimize the integration of an organic Rankine cycle into a molten carbonate fuel cell power plant. The optimization was conducted with five different types of working fluids, and an exergetic optimization was also done for comparison. In addition, sensitivity analysis was conducted to provide better insight into the behavior of the ORC system. The optimization results show that the optimum economic point and the optimum exergetic point are different, and a maximum profit can be achieved for the ORC system with economic optimization. Overall, in most cases, the profit is highest when the ORC system uses n-butane; however, R152a yields better profit when the ambient temperature is below 5 °C. In addition, all ORC systems show positive profit when the price of electricity is above 0.05 USD/kWh. For sensitivity analysis, two simulation experiments were conducted to observe the effect of changes in the feed gas temperature and the sales price of electricity on the optimization results. As a result, changes in the sale price of electricity are very critical, but changes in the feed gas temperature are not important.