scholarly journals Time-dependent electricity pricing using variable announcement horizons

2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Philipp Artur Kienscherf ◽  
John Collins ◽  
Carlee Joe-Wong ◽  
Wolfgang Ketter ◽  
Soumya Sen
Keyword(s):  
Electricity Markets ◽  
Low Cost ◽  
Time Dependent ◽  
Optimal Decision ◽  
Electricity Pricing ◽  
End User ◽  
Optimum Time ◽  
The Commons ◽  
User Demand ◽  
Procurement Risk

Abstract In the battle against climate change, electrification plays an increasingly large role in our society. The growing use of electricity networks requires advanced coordination mechanisms to avoid the tragedy of the commons. In this paper, we explore the effects of optimum time-dependent pricing (TDP) on supplier surplus within electricity markets, using a parameterized optimization model. Varying not only the prices themselves, but also their announcement horizon, we show how the suppliers’ optimal decision depends on risk aversion, forecasting quality, and end-user flexibility. The inclusion of procurement risk in our model shows that TDP can be beneficial for suppliers when they want to actively manage risk, even if expected profits are lower. At the same time, the shifting of end-user demand to low-cost times reduces the overall system cost, and potentially carbon emissions.

scholarly journals Combined electricity pricing model taking into account the “green tariff” and traditional factors

2021 ◽  
Vol 234 ◽  
pp. 00019
Author(s):  
Yuliia Halynska ◽  
Tetiana Bondar
Keyword(s):  
Methodological Approach ◽  
Electricity Pricing ◽  
End User ◽  
Combined Model ◽  
Pricing Policy ◽  
Economic Interests ◽  
Market Prices ◽  
Multiplier Effects ◽  
Alternative Sources ◽  
Different Sources

The article proposes a new optimization model of systemic relationships and effects in the formation of a pricing policy for electricity from combined sources of electricity, taking into account indicators of anthropogenic impact and non-renewable resources, socio-environmental and economic interests of society in the distribution of rental income. The model in the end result provides for the formation of a combined model of tariff setting in the energy sector, according to which electricity tariffs for the end user of the corresponding region will combine both market prices for energy generated from alternative sources and prices for energy generated from traditional sources. The authors improved the scientific and methodological approach to identify, formalize and quantify the multiplier effects that arise as a result of a combination of non-renewable and renewable sources of electricity. Also, the article improves the scientific and methodological approach to assessing the benefits of combining different sources of electricity and their advantages when forming a pricing policy within a single energy strategy.

scholarly journals Centrally Decentralising? Analysing Key Policies and Pathways in Norway’s Electricity Transitions

2020 ◽  
Vol 8 (3) ◽  
pp. 173-184
Author(s):  
Tor Håkon Jackson Inderberg
Keyword(s):  
Consumer Behaviour ◽  
Driving Factors ◽  
Smart Meter ◽  
Smart Metering ◽  
End User ◽  
Energy Flows ◽  
User Demand ◽  
The Government ◽  
Electricity Systems ◽  
State Of Field

With national electricity systems, ‘transition’ may involve decentralising production and ownership, and digitalising the system. These processes are facilitated by smart metering, ‘prosuming,’ and changes in consumer behaviour. Driving factors may be national steering, or the process can be left to the market. In Norway, the government has opted for tightly steered national coordination of three key areas: national smart-meter implementation (since 2011), prosumer regulation (since 2016), and a national end-user demand flexibility regulation (expected to be adopted in 2020). These regulations influence production patterns, energy flows and grid activities. Drawing on organisational fields theory, this article asks: Why was it decided to adopt these policies centrally? Which actors have had greatest influence on policy outputs? And, finally, what of the possible implications? The regulations, developed in a sector in a state of field crisis, have generally been supported by the relevant actors. The Norwegian case can help to explain incumbent roles and field crisis, as well as nuanced drivers in complex transitions, beyond decarbonisation.

Optical properties of magnesium nanorods using time dependent density functional theory calculations

2018 ◽  
Vol 20 (45) ◽  
pp. 28903-28909 ◽  
Author(s):  
Junais Habeeb Mokkath
Keyword(s):  
Density Functional Theory ◽  
Density Functional ◽  
Low Cost ◽  
Density Functional Theory Calculations ◽  
Time Dependent ◽  
Plasmonic Nanostructures ◽  
Functional Theory ◽  
Earth Abundant ◽  
Potential Alternative ◽  
Dependent Density

Plasmonic nanostructures made of Earth-abundant and low-cost metals such as aluminum and magnesium have recently emerged as a potential alternative candidate to conventional plasmonic metals such as gold and silver.

US Electricity Markets

1986 ◽  
Vol 4 (2-3) ◽  
pp. 177-190
Author(s):  
Douglas C. Bauer
Keyword(s):  
Public Policy ◽  
Electricity Markets ◽  
Low Cost ◽  
Power Markets ◽  
Economic Decisions ◽  
The Us ◽  
Rate Base ◽  
Bulk Power ◽  
Future Utility ◽  
Public Policy Decisions

Current US electricity markets are showing improvement, reflecting improvement in the economy as a whole. However, we do have several concerns for the future. The risks which accompany new power plant construction have led the industry, as well as others, to seek out new alternatives. Canadian imports, cogeneration, and improved bulk power markets all have a role to play in future utility planning. But, I believe we must still retain the option of new central station generation. Current attempts in the US to remove capital formation incentives through tax reform, to prohibit construction work in progress in the rate base, and to exclude surplus capacity from cost recovery are examples of public policy decisions which we believe would be counterproductive to providing low cost, reliable power to consumers. Rather, we believe public policy should focus on providing the utility industry with the opportunities to make the best long-term economic decisions on behalf of its customers.

Optimizing Bundling Policy of Single-Period Products

2014 ◽  
Vol 5 (4) ◽  
pp. 1-25
Author(s):  
Gregory Gurevich ◽  
Yuval Cohen ◽  
Baruch Keren
Keyword(s):  
Sensitivity Analysis ◽  
Real World ◽  
The Other ◽  
Order Quantity ◽  
End User ◽  
Demand Distribution ◽  
Common Strategy ◽  
User Demand ◽  
Coordination Tool

Combining different product types into standard discount bundles is a common strategy used by producers and wholesalers to increase overall sales profitability. While markets consist of many producers and retailers, a deal is typically made between a single producer and a single retailer. This paper deals with a producer who sells items separately, and considers setting and selling standard discount bundles. The purchased wholesale bundles are unpacked by the retailer and the items are sold to the end-users one by one. Thus, the end-user demand distribution is unchanged, but the retailer's order quantity grows with the magnitude of the discount. The paper explores the effect of bundle price and content on the profits of both the producer/wholesaler and the retailer, and derives a general objective function composed of a linear combination of these profits. Moreover, the paper establishes the conditions for bundling profitability and presents a way to optimize the profit of each party (producer, or retailer) without reducing the other party's profit. A real-world case study and sensitivity analysis demonstrate the solution's applicability. The results indicate that bundling can be a coordination tool for increasing expected profit for both the producer and the retailer.

scholarly journals Protected Data Using Hybrid Algorithm in Cloud

2018 ◽  
Vol 7 (3.27) ◽  
pp. 318
Author(s):  
K Kalaiselvi ◽  
N Jayashri ◽  
G Saraswathi
Keyword(s):  
Cloud Computing ◽  
Hybrid Algorithm ◽  
Low Cost ◽  
Hybrid Algorithms ◽  
Sensitive Information ◽  
Key Generation ◽  
End User ◽  
End To End ◽  
Cryptographic Techniques

Cloud computing providing confidentiality over the insensitive data was the major issue related to security. It verifies the data owned by the server through linear computations. The proposed work enables security and efficiency using the cryptographic techniques of hybrid algorithms, securing the sensitive information that is present in the cloud. In the hybrid algorithm, it is the combination of problem encryption, key generation, result decryption and proof generation. It also validates the results which are being computed and also provides end-to-end confidentiality over the data to both the end user. The uses of hybrid algorithm results in a random key generation, encrypt/decrypt, and validate the satisfied results. This will provide a low cost to both server and client.  

Evaporative Cooling of Gas Turbine Engines

2013 ◽  
Vol 135 (8) ◽  
Author(s):  
Mustapha Chaker ◽  
Cyrus B. Meher-Homji
Keyword(s):  
Gas Turbine ◽  
Gas Turbines ◽  
Low Cost ◽  
Evaporative Cooling ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
End User ◽  
Very High ◽  
Improve Reliability ◽  
Selection Of

There are numerous gas turbine applications in power generation and mechanical drive service where power drop during the periods of high ambient temperature has a very detrimental effect on the production of power or process throughput. Several geographical locations experience very high temperatures with low coincident relative humidities. In such cases media evaporative cooling can be effectively applied as a low cost power augmentation technique. Several misconceptions exist regarding their applicability to evaporative cooling, the most prevalent being that they can only be applied in extremely dry regions. This paper provides a detailed treatment of media evaporative cooling, discussing aspects that would be of value to an end user, including selection of climatic design points, constructional features of evaporative coolers, thermodynamic aspects of its effect on gas turbines, and approaches to improve reliability. It is hoped that this paper will be of value to plant designers, engineering companies, and operating companies that are considering the use of media evaporative cooling.

scholarly journals Optimal Decision-Making Strategy of an Electric Vehicle Aggregator in Short-Term Electricity Markets

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2413 ◽  
Author(s):  
Homa Rashidizadeh-Kermani ◽  
Hamid Najafi ◽  
Amjad Anvari-Moghaddam ◽  
Josep Guerrero
Keyword(s):  
Decision Making ◽  
Electric Vehicle ◽  
Electricity Markets ◽  
Strong Duality ◽  
Test System ◽  
Optimal Decision ◽  
Measurement Tool ◽  
Proposed Model ◽  
Level Problem ◽  
Upper Level

This paper proposes the problem of decision making of an electric vehicle (EV) aggregator in a competitive market in the presence of different uncertain resources. In the proposed model, a bi-level problem is formulated where, in the upper-level, the objective of the aggregator is to maximize its expected profit through its interactions and, in the lower-level, the EV owners minimize their payments. Therefore, the objectives of the upper and the lower-level are contrary. To solve the obtained nonlinear bi-level program, Karush-Kuhn-Tucker (KKT) optimality conditions and strong duality are applied to transform the initial problem into a linear single-level problem. Moreover, to deal with various uncertainties, including market prices, EVs charge/discharge demands and the prices offered by rivals, a risk measurement tool is incorporated into the problem. The proposed model is finally applied to a test system and its effectiveness is evaluated. Simulation results show that the proposed approach has the potential to offer significant benefits to the aggregator and EV owners for better decision-making in an uncertain environment. During different situations, it is observed that with increasing risk-aversion factor, as the aggregator tries to hedge against volatilities, its purchases from day-ahead and negative balancing markets decreases significantly. However, the participation of EV aggregator in the positive balancing market increases accordingly to make more profit.

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