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Record W1603751567 · doi:10.5772/15260

Energy Planning for Distributed Generation Energy System: The Optimization Work

2011· book-chapter· en· W1603751567 on OpenAlexaff
Behdad Kiani

Bibliographic record

VenueInTech eBooks · 2011
Typebook-chapter
Languageen
FieldEngineering
TopicOptimal Power Flow Distribution
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWork (physics)Energy (signal processing)Distributed generationComputer scienceEngineeringElectrical engineeringMechanical engineeringRenewable energyPhysics

Abstract

fetched live from OpenAlex

MESSAGE (Model for Energy Supply Strategy Alternatives and their General Environmental Impacts) is a system engineering optimization model used for medium-term to long-term energy system planning (i.e.energy supplies and utilization), energy policy analysis, and scenario development.The model was originally developed at International Institute for Applied Systems Analysis (IIASA).The underlying principle of MESSAGE model is optimization of an objective function under a set of constraints that define the feasible region containing all possible solutions of the problem.In general categorization, MESSAGE belongs to the class of mixed integer programming models as it has the option to define some variables as integer.The model provides a framework for representing an energy system with the most important interdependencies from resource extraction, imports and exports, conversion, transport, and distribution, to the provision of energy end-use services such as agriculture sector, residential and commercial space conditioning, industrial production processes, and transportation.A set of standard solvers (e.g., GLPK, OSLV2, OSLV3, CPLEX, and MOSEK) can be used to solve the MESSAGE model.The degree of technological detail in the representation of an energy system is flexible and depends on the geographical and temporal scope of the problem being analyzed.A typical model application is constructed by specifying performance characteristics of a set of technologies and defining a reference energy system (RES) that includes all the possible energy chains that the model can make use of.In the course of a model run MESSAGE will then determine how much of the available technologies and resources are actually used to satisfy a particular end-use demand, subject to various constraints, while minimizing total discounted energy system costs which include investment costs, operation cost and any additional penalty costs defined for the limits, bounds and constraints on relations.For all costs occurring at later points in time, the present value is calculated by discounting them to the base year of the case study.MESSAGE is designed to formulate and evaluate alternative energy supply strategies consonant with the user-defined constraints such as limits on new investment, fuel availability and trade, environmental regulations and market penetration rates for new technologies.Environmental aspects can be analyzed by accounting, and if necessary limiting, the amounts of pollutants emitted by various technologies at various steps in energy supplies.This helps to evaluate the impact of environmental regulations on energy system development.For more details on the model and the mathematical representation of the reference energy system see [4],[5]. How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following: Behdad Kiani (2011).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.204
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
Admission routes1
Has abstractyes

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