HERON As a Tool for Light Water Reactor Market Interaction in a Deregulated Market

2020 ◽  
Author(s):  
Paul W. Talbot ◽  
Abhinav Gairola ◽  
Konor Frick ◽  
Cristian Rabiti
Keyword(s):  
Hydrogen Storage ◽  
Electricity Market ◽  
Nuclear Power ◽  
Stochastic Systems ◽  
Market Price ◽  
Energy Resource ◽  
Storage Unit ◽  
Release Process ◽  
Technoeconomic Analysis ◽  
The Impact

Abstract This paper reports the development of HERON (Holistic Energy Resource Optimization Network), a newly-developed RAVEN (Risk Analysis Virtual ENvironment) plugin for grid and capacity optimization, to technoeconomic analysis in a deregulated market. A short description of the HERON plugin is provided, and the release process is described. HERON as a plugin enables RAVEN to perform stochastic technoeconomic analysis of grid-energy systems in a generic approach. The primary function of HERON is to generate the complex RAVEN workflows necessary to optimize component capacities under stochastic systems. HERON is capable of analyzing systems with complex components transferring a variety of commodities, including production components and varied markets. HERON is capable of optimizing high-resolution dispatch for such systems and guiding stochastic optimization algorithms in RAVEN for finding optimal component capacities. In particular, this document demonstrates the application of HERON to systems with deregulated markets. A system including a hyrdogen market, an electricity market, hydrogen storage, a hydrogen producer, and a nuclear power plant is considered. Stochastic histories for electricity prices at the electricity market are employed to perform stochastic analysis for ideal sizing of the hydrogen production facility and hydrogen storage unit. The impact of hydrogen market price and volatility of electricity price are also shown.

Electricity-market price and nuclear power plant shutdown: Evidence from California

Energy Policy ◽  
2014 ◽  
Vol 73 ◽  
pp. 234-244 ◽  
Author(s):  
C.K. Woo ◽  
T. Ho ◽  
J. Zarnikau ◽  
A. Olson ◽  
R. Jones ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Electricity Market ◽  
Nuclear Power ◽  
Market Price ◽  
Plant Shutdown

The impact of industrial self-supply on Bavaria’s electricity system – effects on supply security and market prices

2019 ◽  
Vol 13 (2) ◽  
pp. 450-466
Author(s):  
Christopher Scheubel ◽  
David Matthäus ◽  
Gunther Friedl
Keyword(s):  
Electricity Market ◽  
Nuclear Power ◽  
Fossil Fuels ◽  
Transition Process ◽  
Order Effect ◽  
Market Prices ◽  
Content Type ◽  
Electricity Grid ◽  
Electricity System ◽  
The Impact

Purpose The purpose of this paper is to analyze the role of industrial self-supply in the transition process from centralized energy generation based on fossil fuels and nuclear power to decentralized supply based on renewable energies in the Bavarian electricity system. Design/methodology/approach To quantify effects on system and price stability, a model of the Bavarian electricity grid is created and used to simulate electricity system behavior during a 1-year period for scenarios that are characterized by parameter variations in industrial self-supply, nuclear power capacity, renewable power generation and the capacity of electricity imports. Findings The simulations show that industrial self-supply can reduce instances of maximum grid utilization by 23 per cent and, based on the merit-order effect, decrease electricity market prices by 1.90 and 5.03 €/MWh in the scenarios with and without nuclear power, respectively; these values represent 5.7 and 15.0 per cent of average market prices from 2014. Research limitations/implications The analysis shows that industrial self-supply can contribute to transforming the electricity system in a secure, sustainable and affordable manner. However, merit-order-based price effects have a limitation concerning the future applicability of results as quantified effects may not be permanent when the electricity system adapts. Originality/value This paper connects industrial self-supply and the merit-order effect within a nodal energy model. It provides insights into the relevant interdependencies and reciprocal effects by means of a simulation.

scholarly journals Optimal Electricity Allocation Model Under China's Planning-Market Double-Track Mechanism Considering Bidding Game of Generation Companies

2021 ◽  
Vol 9 ◽  
Author(s):  
Jinrui Cui ◽  
Yating Li ◽  
Chuan He ◽  
Zhi Zhang ◽  
Haichao Wang ◽  
...  
Keyword(s):  
Market Power ◽  
Electricity Market ◽  
Demand Curve ◽  
Market Price ◽  
Smooth Transition ◽  
Bidding Strategy ◽  
Allocation Model ◽  
Bidding Game ◽  
Double Track ◽  
The Impact

In China, under the planning-market double-track mechanism implemented on the generation side of electricity, unreasonable market-oriented power generation proportion may lead to unnecessary vicious competition and market price changes, and it is against the will of power exchange (PX). Given this background, in this study, a bi-level model for planning-market electricity allocation that considers the bidding game of generation companies is proposed for a smooth transition of power system reform. In the upper level of the model, the proportion of planned electricity is optimized by PX to minimize the average social electricity purchase price. In the lower level of the model, considering the impact of market power on the bidding strategy of generation companies, the bidding strategy of generation companies set as price makers is proposed using the residual demand curve analysis method, while the price takers adopt the lowest bidding strategy. Simulations based on data from a provincial electricity market in China illustrate that the proposed model can effectively reflect the impact of market-oriented electricity proportion on market power and market-clearing price, thus providing a quantitative basis for PX to determine the proportion of market-oriented electricity in total electricity consumption.

scholarly journals Optimal Bidding Strategy of Microgrid with Uncertainty of RES in Day Ahead Electricity Market

2019 ◽  
Vol 8 (3) ◽  
pp. 3964-3971
Keyword(s):  
Electricity Market ◽  
Optimization Problem ◽  
Low Voltage ◽  
Operational Cost ◽  
Storage Unit ◽  
Load Demand ◽  
Optimal Bidding ◽  
Pumped Storage ◽  
The Impact ◽  
Storage Units

Microgrid is the most efficient way of integrating renewable generating sources in the low voltage network. This paper proposes a mathematical model for bidding power in low voltage grid connected microgrid system in an electricity market having pump storage plant. The optimization problem has been modeled and simulated using the CONOPT solver in GAMS environment interfaced with MATLAB. The storage units have been used to counter the impact due to uncertainty of the solar power and the load demand. The optimal bidding prices have been obtained for various renewable generating units in case of over and under production situations. Penalty factors have been imposed to manage the power imbalance which also helps in overall reduction of the operational cost. Pumped storage unit has been taken to obtain optimal bidding and minimized operational cost of the system.

scholarly journals The Environmental Effects of the April 2020 Wildfires and the Cs-137 Re-Suspension in the Chernobyl Exclusion Zone: A Multi-Hazard Threat

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 467
Author(s):  
Rocío Baró ◽  
Christian Maurer ◽  
Jerome Brioude ◽  
Delia Arnold ◽  
Marcus Hirtl
Keyword(s):  
Air Quality ◽  
Nuclear Power ◽  
Transport Model ◽  
Atmospheric Transport ◽  
Point Of View ◽  
Plume Dispersion ◽  
Exclusion Zone ◽  
Fire Plume ◽  
Mean Values ◽  
The Impact

This paper demonstrates the environmental impacts of the wildfires occurring at the beginning of April 2020 in and around the highly contaminated Chernobyl Exclusion Zone (CEZ). Due to the critical fire location, concerns arose about secondary radioactive contamination potentially spreading over Europe. The impact of the fire was assessed through the evaluation of fire plume dispersion and re-suspension of the radionuclide Cs-137, whereas, to assess the smoke plume effect, a WRF-Chem simulation was performed and compared to Tropospheric Monitoring Instrument (TROPOMI) satellite columns. The results show agreement of the simulated black carbon and carbon monoxide plumes with the plumes as observed by TROPOMI, where pollutants were also transported to Belarus. From an air quality and health perspective, the wildfires caused extremely bad air quality over Kiev, where the WRF-Chem model simulated mean values of PM2.5 up to 300 µg/m3 (during the first fire outbreak) over CEZ. The re-suspension of Cs-137 was assessed by a Bayesian inverse modelling approach using FLEXPART as the atmospheric transport model and Ukraine observations, yielding a total release of 600 ± 200 GBq. The increase in both smoke and Cs-137 emissions was only well correlated on the 9 April, likely related to a shift of the focus area of the fires. From a radiological point of view even the highest Cs-137 values (average measured or modelled air concentrations and modelled deposition) at the measurement site closest to the Chernobyl Nuclear Power Plant, i.e., Kiev, posed no health risk.

Detecting the impact of fundamentals and regulatory reforms on the Greek wholesale electricity market using a SARMAX/GARCH model

Energy ◽  
2018 ◽  
Vol 142 ◽  
pp. 1083-1103 ◽  
Author(s):  
George P. Papaioannou ◽  
Christos Dikaiakos ◽  
Athanasios S. Dagoumas ◽  
Anargyros Dramountanis ◽  
Panagiotis G. Papaioannou
Keyword(s):  
Electricity Market ◽  
Garch Model ◽  
Wholesale Electricity Market ◽  
The Impact ◽  
Regulatory Reforms
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