منابع مشابه
Forecasting coal production until 2100
A model capable of projecting mineral resources production has been developed. The model includes supply and demand interactions, and has been applied to all coal producing countries. A model of worldwide coal production has been developed for three scenarios. The ultimately recoverable resources (URR) estimates used in the scenarios ranged from 700 Gt to 1243 Gt. The model indicates that world...
متن کاملWhat about coal ? Interactions between climate policies and the global steam coal market until 2030
Because of economic growth and a strong increase in global energy demand the demand for fossil fuels and therefore also greenhouse gas emissions are increasing, although climate policy should lead to the opposite effect. The coal market is of special relevance as coal is available in many countries and often their first choice to meet energy demand. In this paper we assess possible interactions...
متن کاملResponse of microbial decomposition to spin - up explains CMIP 5 soil carbon range until 2100
Soil carbon storage simulated by the Coupled Model Intercomparison Project (CMIP5) models varies 6fold for the present day. Here, we confirm earlier work showing that this range already exists at the beginning of the CMIP5 historical simulations. We additionally show that this range is largely determined by the response of microbial decomposition during each model’s spin-up procedure from initi...
متن کاملThe Forecasting of Iran Natural Gas Consumption Based On Neural-Fuzzy System Until 2020
In this paper, an Adaptive-Network-based Fuzzy Inference System (ANFIS) is used for forecasting of natural gas consumption. It is clear that natural gas consumption prediction for future, surly can help Statesmen to decide more certain. There are many variables which effect on gas consumption but two variables that named Gross Domestic Product (GDP) and population, are selected as two input var...
متن کاملForecasting Rock Burst in Coal Mines Based on Neural Network
In view of disasters caused by rock burst becoming more and more serious in coal mine production, three models are established for evaluation and prediction the rock burst risk based on artificial neural network. First, ten indicators are determined which have a larger influence on rock burst. Then two back propagation network models are trained using the original data and the processed data re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Fuel
سال: 2009
ISSN: 0016-2361
DOI: 10.1016/j.fuel.2009.01.032