APEX user`s guide - (Argonne production, expansion, and exchange model for electrical systems), version 3.0

VanKuiken, J.C.; Veselka, T.D.; Guziel, K.A.; Blodgett, D.W.; Hamilton, Scott; Kavicky, James A.; Koritarov, Vladimir; North, Michael; Novickas, A.A.; Paprockas, K.R.

doi:10.2172/10109562

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…EMCAS is an electricity market model related to several earlier models [3,4]. EMCAS includes a large number of different agents to model the full range of time scales -from hours to decades -that are needed to understand the domain [5].…”

Section: Emcasmentioning

confidence: 99%

Oh Behave! Agents-Based Behavioral Representations in Problem Solving Environments

North

Macal²,

Campbell³

2003

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. The development of deregulated electricity systems around the world has produced the need for simulation systems that are capable of addressing the complexities that arise in the new markets. Agent-based models allow the use of complex adaptive systems approaches that are capable of producing tools or problem solving environments that can address the behavior of each of the participants within the electricity market. The agents in the tools are allowed to establish their own objectives and apply their own decision rules. They can be developed to learn from their previous experiences and change their behavior when future opportunities arise. In this paper, we will argue that the same type of agent-based technology that is used to produce "realistic" agent behavior in agent-based simulation tools at Argonne National Laboratory can also be used to embed these tools in problem solving environments.

show abstract

Section: Emcasmentioning

confidence: 99%

Oh Behave! Agents-Based Behavioral Representations in Problem Solving Environments

North

Macal²,

Campbell³

2003

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…ICARUS and ADAP have been incorporated into the Argonne Production, Expansion, and Exchange (APEX) model that was developed for the US. Department of Energy (DOE) [6]. The APEX versions of these programs were used to facilitate this analysis.…”

Section: Approachmentioning

confidence: 99%

Replacement energy costs for nuclear electricity-generating units in the United States: 1997--2001. Volume 4

VanKuiken¹,

Guziel²,

Tompkins³

et al. 1997

Self Cite

View full text Add to dashboard Cite

DISCLAIMERThis report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, express or implied, or asswnes any legal liabiiity or respomibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disdased, or represents that its use w d d not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. ABSTRACTThis report updates previous estimates of replacement energy costs for potential short-term shutdowns of 109 U.S. nuclear electricity-generating units. This information was developed to assist the U.S. Nuclear Regulatory Commission (NRC) in its regulatory impact analyses, specifically those that examine the impacts of proposed regulations requiring retrofitting of or safety modifications to nuclear reactors. Such actions might necessitate shutdowns of nuclear power plants while these changes are being implemented. The change in energy cost represents one factor that the NRC must consider when deciding to require a particular modification.Cost estimates were derived from probabilistic production cost simulations of pooled utility system operations. Factors affecting replacement energy costs, such as random unit failures, maintenance and refueling requirements, and load variations, are treated in the analysis. This report describes an abbreviated analytical approach as it was adopted to update the cost estimates published in NUREGKR-4012, Vol. 3. The updates were made to extend the time frame of cost estimates and to account for recent changes in utility system conditions, such as change in fuel prices, construction and retirement schedules, and system demand projections. ABSTRACTThis report updates previous estimates of replacement energy costs for potential short-term shutdowns of 109 U.S. nuclear electricity-generating units. This information was developed to assist the U.S. Nuclear Regulatory Commission (NRC) in its regulatory impact analyses, specifically those that examine the impacts of proposed regulations requiring retrofitting of or safety modifications to nuclear reactors. Such actions might necessitate shutdowns of nuclear power plants while these changes are being implemented. The change in energy cost represents one factor that the NRC must consider when deciding to require a particular modification.Cost estimates were derived from probabilistic production cost simulations of pooled utility system operations. Factors affecting replacement energy costs, such as random unit failures, maintenance and refueling requirements, and loa...

show abstract

“…The Investigation of Costs and Reliability in Utility Systems (ICARUS) model was developed by ANL in 1983, with model design and user interface improvements continuing through 1994 (VanKuiken 1983;VanKuiken et al 1994;Guziel et al 1990). It provides unit-level dispatching simulations, including production-cost and reliability evaluations of electric power systems that explicitly recognize planned and unplanned outages.…”

Section: Selection Of Modelmentioning

confidence: 99%

Evaluation of energy system analysis techniques for identifying underground facilities

VanKuiken¹,

Kavicky²,

Portante³

1996

Self Cite

View full text Add to dashboard Cite

APEX user`s guide - (Argonne production, expansion, and exchange model for electrical systems), version 3.0

Cited by 6 publications

References 0 publications

Oh Behave! Agents-Based Behavioral Representations in Problem Solving Environments

Oh Behave! Agents-Based Behavioral Representations in Problem Solving Environments

Replacement energy costs for nuclear electricity-generating units in the United States: 1997--2001. Volume 4

Evaluation of energy system analysis techniques for identifying underground facilities

Contact Info

Product

Resources

About