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Journal ArticleDOI

A review of energy models

S. Jebaraj, +1 more
- 01 Aug 2006 - 
- Vol. 10, Iss: 4, pp 281-311
TLDR
In this paper, a review paper on energy modeling will help the energy planners, researchers and policy makers widely, and an attempt has been made to understand and review the various emerging issues related to the energy modeling.
Abstract
Energy is a vital input for social and economic development of any nation. With increasing agricultural and industrial activities in the country, the demand for energy is also increasing. Formulation of an energy model will help in the proper allocation of widely available renewable energy sources such as solar, wind, bioenergy and small hydropower in meeting the future energy demand in India. During the last decade several new concepts of energy planning and management such as decentralized planning, energy conservation through improved technologies, waste recycling, integrated energy planning, introduction of renewable energy sources and energy forecasting have emerged. In this paper an attempt has been made to understand and review the various emerging issues related to the energy modeling. The different types of models such as energy planning models, energy supply–demand models, forecasting models, renewable energy models, emission reduction models, optimization models have been reviewed and presented. Also, models based on neural network and fuzzy theory have been reviewed and discussed. The review paper on energy modeling will help the energy planners, researchers and policy makers widely.

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A review of computer tools for analysing the integration of renewable energy into various energy systems

TL;DR: In this paper, a review of the different computer tools that can be used to analyse the integration of renewable energy is presented, and the results in this paper provide the information necessary to identify a suitable energy tool for analysing the integration into various energy-systems under different objectives.
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Optimization methods applied to renewable and sustainable energy: A review

TL;DR: A review of the current state of the art in computational optimization methods applied to renewable and sustainable energy can be found in this article, which offers a clear vision of the latest research advances in this field.
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A survey of data envelopment analysis in energy and environmental studies

TL;DR: A literature survey on the application of data envelopment analysis (DEA) to E&E studies is presented and an introduction to the most widely used DEA techniques is introduced.
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Energy systems modeling for twenty-first century energy challenges

TL;DR: In this article, the authors look at models relevant to national and international energy policy, grouping them into four categories: energy systems optimization models, energy systems simulation models, power systems and electricity market models, and qualitative and mixed-methods scenarios.
Journal ArticleDOI

Artificial intelligence techniques for photovoltaic applications: A review

TL;DR: The paper outlines an understanding of how AI systems operate by way of presenting a number of problems in photovoltaic systems application, mainly because of their symbolic reasoning, flexibility and explanation capabilities.
References
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Journal ArticleDOI

3.4. Set of models

TL;DR: The NAPAP Integrated Model Set as discussed by the authors is a collection of engineering, emissions-forecasting and energy market models that is driven by and interacts with other energy-market and economic models.
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5.0. Interface between mental and computer models

TL;DR: This section outlines the relation between mental and computer models, identifies major approaches to model development, and explores future evolution of model interactions.
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A simple model of carbon cycle for upgrading global fossil fuels consumption and carbon emission forecasts validity

TL;DR: In this paper, a set of models for global carbon cycle, world population and atmospheric CO2 are proposed, which works as some tools for validating field and modeling dates and improved validity of prognoses of future fossil fuel consumption.
Journal ArticleDOI

Forecasting the cost of energy conser vation in the transportation sector

Hyder G. Lakhani
- 01 Oct 1981 - 
TL;DR: In this article, the authors attempt to estimate and forecast the cost of energy conservation in the transportation sector to the year 2000 by using regression equations and the data are from the US Department of Transportation and the Department of Energy.
Journal ArticleDOI

Relating energy-consumption and health-care concerns to diet choices

TL;DR: Reductions in national and personal consumptions of primary energy for producing and cooking foods may be achievable as a result of employing this facility, because the software enables users to gain quantitative knowledge concerning the approximate energy expenditures inherent in their diets.
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