Journal ArticleDOI
A review of energy models
S. Jebaraj,S. Iniyan +1 more
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.read more
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Posted Content
Lessons from the use of a long-term energy model for consequential life cycle assessmen t: The BTL case
TL;DR: In this paper, a methodology adapted to the prospective environmental evaluation of actions in the energy sector is developed, which is applied in a case study about the global warming impacts occurring as a consequence of the future production of synthetic diesel from biomass ("biomass to liquids", a second-generation biofuel, in France.
Book ChapterDOI
Geologic Carbon Sequestration
TL;DR: The main emphasis of responses to climate change challenges is in transforming the energy system from high to low carbon energy supply and in decoupling energy demand from economic growth as discussed by the authors, and the general principles of energy policy objectives comprise the three paradigms of economic efficiency, security of energy supply, and environmental compatibility.
Proceedings ArticleDOI
An approach for DEVS based modeling of electrical power systems
TL;DR: A DEVS (Discrete Event System Specification) based framework for modeling a power system for energy planning, which enables each of the components of the system to be modeled separately as well as the representation of the multilayer architecture of that system.
District heating and chp - local possibilities for global climate change mitigation
TL;DR: In this paper, global warming, in combination with increasing energy demand and higher energy prices, makes it necessary to change the energy use and to secure the energy supply and to develop sustainable societies.
Journal ArticleDOI
Predicting Thermal Performance of Different Roof Systems by Using Decision Tree Method
TL;DR: In this article, the use of decision tree method was used to predict thermal performance of several roof systems under different climate conditions. But, the accuracy of the decision tree was not as good as other methods such as simple and clear procedure without having rigorous mathematical and computational knowledge, etc.
References
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Journal ArticleDOI
Applications of artificial neural-networks for energy systems
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.
Journal ArticleDOI
Artificial neural networks for the prediction of the energy consumption of a passive solar building
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.
Journal ArticleDOI
Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology
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.
Journal ArticleDOI
Solar radiation model
Ling Tim Wong,Wan Ki Chow +1 more
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).
Journal ArticleDOI
A comparison of various forecasting techniques applied to mean hourly wind speed time series
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.