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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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Citations
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Journal ArticleDOI

Complexity profiles: A large-scale review of energy system models in terms of complexity

TL;DR: The relationship between the purpose of models and their complexity is examined and it is concluded that when creating a model, modelers allocate complexity in order of priority on those features and properties that are particularly important for fulfilling the model's purpose.
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Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

TL;DR: In this paper, the authors synthesize the debate in previous review studies on energy models for developing countries and then extend the scope of the previous studies by highlighting emerging methods of system thinking, life cycle thinking, and decision support analysis.
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Regression analysis for energy demand projection: An application to TIMES-Basilicata and TIMES-Italy energy models

TL;DR: This study illustrates an application of regression analysis to predict energy demand trends in end use sectors using the bottom-up TIMES model to characterize statistically the relationships between population and gross domestic product and energy demands of Residential, Transport and Commercial over a long-term horizon.
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Global energy modelling — A biophysical approach (GEMBA) part 1: An overview of biophysical economics

TL;DR: The GEMBA model as mentioned in this paper proposes a new and important contribution to the field of biophysical economics; a lifetime evolving function for the dynamics of the energy return on investment (EROI).
Journal ArticleDOI

Stochastic modeling of the energy supply system with uncertain fuel price – A case of emerging technologies for distributed power generation

TL;DR: In this article, a binomial lattice is generated based on the stochastic nature of the source of uncertainty and an energy system model (ESM) is reformulated as a multistage Stochastic problem.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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