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iNEMS (Integrated National Energy Modeling System) is developed by CEEP China (China Center for Energy and Environmental Policy Research) independently in 2013. By using the dynamic web technology and database application, CEEP China team posted their original research findings on the iNEMS. iNEMS is able to carry out following simulation and analysis works: Interactions between China’s energy and economy system; Links China and world energy markets; Energy system impacts on environment; Long term economy decisions.

iNEMS includes seven major functions:

China Energy & Environmental Policy Analysis system

Based on the Computable General Equilibrium methods, China Energy & Environmental Policy Analysis system (CEEPA) offers a solid decision-making support for the further reform of China’s energy and environmental policies. CEEPA gathered various major entities of China’s macro economy systems to describe the interactions between them. Most importantly, CEEPA can show the maps in depth for energy (coal, crude oil, natural gas, refined oil, electric power etc.) generation, demand and international trade. CEEPA also includes energy related carbon emissions. Especially, in this system, we make a special consideration for China’s labor market and energy market. CEEPA can provide policy makers a universal solution for diverse energy and environmental policies.

Energy demand forecast system for China

The forecast of energy demand is the fundamentals of the making of national energy strategies. In China, there are great uncertainties in economy and social development. This situation also brings a lot of troubles in forecasting China’s energy demand. With the rapid development of China’s society and economy, the energy demand of China is very difficult to be mapped. It becomes even more difficult to make certain of the long-term energy development. Energy demand forecast becomes more and more important since the oil crisis (1970s). Based on long-term impact factors of energy demand, this system delivered a dynamic animation to show the changes of China’s energy future. The long-term dynamic forecast model of China’s energy demand can provide a specific energy demand data for each year.

Risk forecast system of oil market

VaR（Value-at-Risk）is the most popular tools in valuing the risk. Mathematically, the conception of VaR is the probability distribution quantile of the value of asset, or, the rate of return. Financial organizations and regulatory authorities apply the VaR tools to quantify the risk then to keep enough capital reserve to the risk. In oil market, the risk even higher than normal financial market, and this is the reason why people interested in how to get avoid the risk. In this way, VaR provides a useful tool for oil market risk management, and Risk Forecast System of Oil Market is design based on the features of VaR.

Long-term and Multi-stage Oil Price Forecasting System, LOFS

Violent fluctuation makes great impacts on the whole international society. It becomes very important to indicate the trends of the oil price of international markets. By using the Multi-scale Analysis based on Wavelet methods, CEEP China research team designed the Long-term and Multi-stage Oil Price Forecasting System (LOFS). Lots of applications showed that this system can roughly map the future trends of oil price of the international markets.

Emission Allowance Generator for Emission Reduction, EAGER

Carbon reduction responsibilities of countries is the major points of international climate negotiation. In order to make an objective comparison of various obligation allocation schemes, CEEP China research team designed Emission Allowance Generator for Emission Reduction (EAGER). The results shows that this platform is easy to be used and can provide a user-friendly interface. All schemes can be visually and quantitatively used to show the difference and preference.

Energy & Economic Data Platform, EEDP

Energy economy Data Platform (Energy & Economic Data Platform, EEDP) is independently developed by China Center for Energy and environmental policy research (CEEP China).It aims at serving academic research in colleges and universities and functions as database for research in energy economics. With the purpose of meeting requirement in academic research, it provides a large number of derived data calculated using professional data processing and model calculation method with basic database obtained from national bureau of statistics. It covers a wide range and large scale with rich contents. EEDP database includes five modules containing national accounts data, population, energy, carbon emissions and market price as well as nine sub-databases. It contains about 1.46 million data concerning fields of national economy energy and environment. Detailed introduction are as follows：