Since 1993, the International Energy Agency (IEA) has provided medium to long-term energy projections using the World Energy Model (WEM). The model is a large-scale simulation model designed to replicate how energy markets function and is the principal tool used to generate detailed sector-by-sector and region-by-region projections for the World Energy Outlook (WEO) scenarios. Developed over many years, the model broadly consists of three main sections covering:

• final energy consumption including residential, services, agriculture, industry, transport and non-energy use
• energy transformation including power generation and heat, refinery and other transformation and
• fossil-fuel and bioenergy supply

World Energy Model Documentation 2015 is attached. Follow the second link.

Dear @Rajesh, I have attached some good links related to your research question.

Models and Tools

Use models and tools developed or supported by NREL to assess, analyze, and optimize renewable energy and energy efficiency technologies for your project. Many of these tools can be applied on a global, regional, local, or project basis. NREL models and tools include several designed for the consumer or energy professional.

Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP):

An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025 

The last one is research paper Energy models for commercial energy prediction and substitution of renewable energy sources.

"In this paper, three models have been projected namely Modified Econometric Mathematical (MEM) model, Mathematical Programming Energy-Economy-Environment (MPEEE) model, and Optimal Renewable Energy Mathematical (OREM) model. The actual demand for coal, oil and electricity is predicted using the MEM model based on economic, technological and environmental factors. The results were used in the MPEEE model, which determines the optimum allocation of commercial energy sources based on environmental limitations. The gap between the actual energy demand from the MEM model and optimal energy use from the MPEEE model, has to be met by the renewable energy sources. The study develops an OREM model that would facilitate effective utilization of renewable energy sources in India, based on cost, efficiency, social acceptance, reliability, potential and demand. The economic variations in solar energy systems and inclusion of environmental constraint are also analyzed with OREM model. The OREM model will help policy makers in the formulation and implementation of strategies concerning renewable energy sources in India for the next two decades..."

http://www.worldenergyoutlook.org/weomodel/

http://www.worldenergyoutlook.org/media/weowebsite/2015/WEM_Documentation_WEO2015.pdf

http://www.nrel.gov/analysis/models_tools.html

http://www.nrel.gov/docs/fy09osti/45656.pdf

https://www.academia.edu/11303000/Energy_models_for_commercial_energy_prediction_and_substitution_of_renewable_energy_sources

Energy model are available for Renewable Energy (RE) sources, RE Technology, RE demand and supply, Cost of RE power, RE policy.

Characterization of technology components, renewable energy resource asessment data and economic descriptives in parametric terms and mathematical functions on a computer. 

Agreed Gerro,

Please clarify, whether is applicable to Global RE Model and Regional RE Model, in same attributes. Suugest some attributes which specifically applicable to Global and Regional Model.

Dear Gerro, Please share your expertise on MATLAB solution if you have reference on MATLAB Simulink work Energy Modeling.

Dear Sir,

"Energy-modelling is the virtual or computerized simulation of a building or complex that focuses on energy consumption, utility bills and life cycle costs of various energy related items such as air conditioning, lights and hot water. It is also used to evaluate the payback of green energy solutions like solar panels and photovoltaic’s, wind turbines and high efficiency appliances." To understand energy modelling, it's important to understand simulation: Energy-Analysis or Energy-modelling is used to:

1.  Predict the monthly energy consumption and bills

2.  Predict the annual energy cost

3.  Annual CO2 emissions

4. Compare and contrast different efficiency options.  Determine life cycle payback on various options

 Solar energy, wind energy, hybrid systems, bio fuels, energy management and efficiency, optimization of renewable energy systems and much more. Subsequently, presents the physical and technical principles of promising ways of utilizing renewable energies. The important data and parameter sets for the major possibilities of renewable energies utilization which allow an economic and environmental assessment. Such an assessment enables us to judge the chances and limits of the multiple options utilizing renewable energy sources. It will provide useful insights in the modelling and optimization of different renewable systems.

 To explore the ability of climate models in assessing the future energy potential from renewable sources. Specifically, this study focuses on the two renewable sources which are more directly related to meteorological variables, namely photovoltaic solar and wind energy. The nexus between renewable energies and climate has been often investigated in the perspective of the impact on global climate deriving from an increased penetration of renewable sources in the world energy mix, and the associated reduction in carbon dioxide emissions. Among renewable energy (RE) resources, electricity generated by solar photovoltaic modules is showing a fast growth, with an expected capacity of 135 GW to be installed by the end of 2013 worldwide The photovoltaic energy (PVE) productivity is strongly related to solar radiation and, to a smaller extent, to the temperature at the surface of the photovoltaic modules. The photovoltaic performance model used in this study is the PV-GIS model, that integrates climate variables in a model for inclined-plane irradiation and photovoltaic system output. The use of wind energy (WE) in electricity generation is nowadays widely spread, and the total wind power capacity installed worldwide has grown. Near-surface winds, are strongly connected to the atmospheric synoptic scale variability and seasonality, and to climate variability on different timescales.

Please find attached herewith related link & pdf file

regards,

Prem Baboo

https://www.researchgate.net/post/Does_anyone_knows_a_method_or_software_for_modelling_a_set_of_different_renewable_energies_in_order_to_get_the_best_combination_of_them?_tpcectx=profile_highlights

Since 1993, the International Energy Agency (IEA) has provided medium to long-term energy projections using the World Energy Model (WEM). The model is a large-scale simulation model designed to replicate how energy markets function and is the principal tool used to generate detailed sector-by-sector and region-by-region projections for the World Energy Outlook (WEO) scenarios. Developed over many years, the model broadly consists of three main sections covering:

• final energy consumption including residential, services, agriculture, industry, transport and non-energy use
• energy transformation including power generation and heat, refinery and other transformation and
• fossil-fuel and bioenergy supply

World Energy Model Documentation 2015 is attached. Follow the second link.

Dear @Rajesh, I have attached some good links related to your research question.

Models and Tools

Use models and tools developed or supported by NREL to assess, analyze, and optimize renewable energy and energy efficiency technologies for your project. Many of these tools can be applied on a global, regional, local, or project basis. NREL models and tools include several designed for the consumer or energy professional.

Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP):

An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025 

The last one is research paper Energy models for commercial energy prediction and substitution of renewable energy sources.

"In this paper, three models have been projected namely Modified Econometric Mathematical (MEM) model, Mathematical Programming Energy-Economy-Environment (MPEEE) model, and Optimal Renewable Energy Mathematical (OREM) model. The actual demand for coal, oil and electricity is predicted using the MEM model based on economic, technological and environmental factors. The results were used in the MPEEE model, which determines the optimum allocation of commercial energy sources based on environmental limitations. The gap between the actual energy demand from the MEM model and optimal energy use from the MPEEE model, has to be met by the renewable energy sources. The study develops an OREM model that would facilitate effective utilization of renewable energy sources in India, based on cost, efficiency, social acceptance, reliability, potential and demand. The economic variations in solar energy systems and inclusion of environmental constraint are also analyzed with OREM model. The OREM model will help policy makers in the formulation and implementation of strategies concerning renewable energy sources in India for the next two decades..."

http://www.worldenergyoutlook.org/weomodel/

http://www.worldenergyoutlook.org/media/weowebsite/2015/WEM_Documentation_WEO2015.pdf

http://www.nrel.gov/analysis/models_tools.html

http://www.nrel.gov/docs/fy09osti/45656.pdf

https://www.academia.edu/11303000/Energy_models_for_commercial_energy_prediction_and_substitution_of_renewable_energy_sources

Agreed with Jacic

MPEEE, MEM and OREM are very interesting Model. Thanks for sharing the paper on research Gate in view of usability of this paper. Please comments on AROMA model also. NREL model predict energy sources on the basis of remote sensing data. Thanks for sharing very useful links for my research work.

Dear Prem

Your suggestions cover more widely through energy climate , community, generation and distribution. The Research Gate question about Chile is the outcome of Energy Model. Thanks for nice effort and sharing the report, useful for my research work.

Agreed with Jacic too!