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Journal ArticleDOI

A review of energy models

S. Jebaraj, S. Iniyan1
01 Aug 2006-Renewable & Sustainable Energy Reviews (RENEWABLE AND SUSTAINABLE ENERGY REVIEWS)-Vol. 10, Iss: 4, pp 281-311
TL;DR: 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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Citations
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Journal ArticleDOI
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.

1,480 citations

Journal ArticleDOI
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.
Abstract: Energy is a vital input for social and economic development. As a result of the generalization of agricultural, industrial and domestic activities the demand for energy has increased remarkably, especially in emergent countries. This has meant rapid grower in the level of greenhouse gas emissions and the increase in fuel prices, which are the main driving forces behind efforts to utilize renewable energy sources more effectively, i.e. energy which comes from natural resources and is also naturally replenished. Despite the obvious advantages of renewable energy, it presents important drawbacks, such as the discontinuity of generation, as most renewable energy resources depend on the climate, which is why their use requires complex design, planning and control optimization methods. Fortunately, the continuous advances in computer hardware and software are allowing researchers to deal with these optimization problems using computational resources, as can be seen in the large number of optimization methods that have been applied to the renewable and sustainable energy field. This paper presents a review of the current state of the art in computational optimization methods applied to renewable and sustainable energy, offering a clear vision of the latest research advances in this field.

1,394 citations


Cites background from "A review of energy models"

  • ...Someauthors have revieweddifferent types f models such as renewable energy models, emission reduction odels, energy planning models, energy supply-demand models, orecasting models, and control models using optimization methds [11], but many researchers are continuously proposing and pplying new methods in the field of renewable energy....

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  • ...[11] Jebaraj S, Iniyan S....

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Journal ArticleDOI
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.

1,068 citations

Journal ArticleDOI
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.
Abstract: Energy systems models are important methods used to generate a range of insight and analysis on the supply and demand of energy. Developed over the second half of the twentieth century, they are now seeing increased relevance in the face of stringent climate policy, energy security and economic development concerns, and increasing challenges due to the changing nature of the twenty-first century energy system. In this paper, we look particularly 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. We examine four challenges they face and the efforts being taken to address them: (1) resolving time and space, (2) balancing uncertainty and transparency, (3) addressing the growing complexity of the energy system, and (4) integrating human behavior and social risks and opportunities. In discussing these challenges, we present possible avenues for future research and make recommendations to ensure the continued relevance for energy systems models as important sources of information for policy-making.

781 citations


Cites methods from "A review of energy models"

  • ...Such an approach is taken with the stochastic version of MARKAL, which uses a two-stage stochastic programming method (Kanudia and Loulou, 1998), and by stochastic MESSAGE, (Messner et al., 1996), which formulates the stochastic problem by extending the original linear deterministic problem with nonlinear risk functions. But analyses based on these stochastic models vary only a small subset of parameters based on an analyst’s interest or available data, and because of unexpected sources of uncertainty, it may always be necessary to hedge against unknown risks that models cannot predict. The uncertainty issue can be seen as one aspect of the discussion on whether energy systems models are fit for purpose (Strachan, 2011b). Gilboa et al. (2012) argue that economic models are most usefully seen as describing specific, theoretical systems rather than general rules, and as such, are simply one source of knowledge alongside other data such as experimental or empirical results....

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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.

733 citations

References
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Journal ArticleDOI
TL;DR: In this paper, the authors present various applications of neural networks in energy problems in a thematic rather than a chronological or any other way, including modeling and design of a solar steam generating plant, estimation of a parabolic-trough collector's intercept factor and local concentration ratio, and performance prediction of solar water-heating systems.

833 citations

Journal ArticleDOI
01 May 2000-Energy
TL;DR: In this paper, a multilayer recurrent architecture using the standard back-propagation learning algorithm has been applied to predict the energy consumption of a passive solar building for two seasons: winter and summer.

455 citations

Journal ArticleDOI
TL;DR: The authors show an application of the multicriteria decision-making methodology used to assess an action plan for the diffusion of renewable energy technologies at regional scale, carried out for Sardinia.

421 citations


"A review of energy models" refers background in this paper

  • ...[68] Beccali M, Cellura M, Mistretta M....

    [...]

  • ...This methodology helps the decision-maker to select the most suitable innovative technologies in the energy sector, according to preliminary fixed objectives [68]....

    [...]

Journal ArticleDOI
TL;DR: In this article, the authors used the Angstrom-Prescott equation to predict the average daily global radiation with hours of sunshine for Hong Kong (22.3°N latitude, 114. 3°E longitude).

371 citations

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TL;DR: A comparison of various forecasting approaches, using time series analysis, on mean hourly wind speed data, including the traditional linear (ARMA) models and the commonly used feed forward and recurrent neural networks is presented.

355 citations