scholarly journals The Evaluation Methods and the Empirical Study of Energy Saving Performance for the Thermal Power Enterprises

2017 ◽  
Author(s):  
Ze-shuang LIU ◽  
Xin-ping WU
Keyword(s):  
Empirical Study ◽  
Energy Saving ◽  
Thermal Power ◽  
Evaluation Methods

Study for Fuel Management about Energy Saving Index of Thermal Power Plant

2012 ◽  
Vol 424-425 ◽  
pp. 1278-1281
Author(s):  
Gang Chen ◽  
Wei Su ◽  
Tian Sheng Chen
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Energy Saving ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Evaluation Criteria ◽  
Calorific Value ◽  
Evaluation Methods ◽  
Fuel Management ◽  
Consumption Reduction

This paper analyzed the reasons why different of calorific value between coal as received and coal as fired generate. The differences of calorific value between coal as received and coal as fired of seven power generation groups were compared. Evaluation cycle, evaluation indicators and evaluation methods of the calorific value difference were proposed. It was pointed out that the new evaluation criteria would contribute to energy saving and consumption reduction of power enterprises

Multi-Objective Generation Scheduling for Energy-Saving and Emission Reduction

2013 ◽  
Vol 392 ◽  
pp. 582-585
Author(s):  
Li Jun Qin ◽  
Yu Xing Hao
Keyword(s):  
Energy Saving ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Thermal Power ◽  
Pso Algorithm ◽  
Load Curve ◽  
Multi Objective ◽  
Satisfaction Degree ◽  
Generation Scheduling ◽  
To Receive

This paper based on the idea of dynamic division of the load curve with the monotonicity of load curve and the PSO algorithm and gets the characteristics section. It fuses the sub-processes with the energy trajectory methods in order to describe the climbing peak and descending valley of the load curve closely, and characterizes the actual load curve. The multi-objective daily generation scheduling model is built based on the lowest cost of thermal power purchase of electricity and the lowest emissions of pollution gas. The optimal power flow based on combination of satisfaction degree and close degree are introduced to transform multi-objective into the single-objective optimization model. Decision makers can make interactive solution via adjusting goal satisfaction degree and close degree,so as to receive satisfactory results considering all aspects and make the daily generation scheduling based on energy-saving and environmental protection.

Evaluation of Easy-to-Clean Property of Ceramic

2012 ◽  
Vol 427 ◽  
pp. 215-217
Author(s):  
Xing Fu Di ◽  
Li Juan Wang ◽  
Jin Sheng Liang ◽  
Dao Yang Han
Keyword(s):  
Product Development ◽  
Energy Saving ◽  
New Product Development ◽  
21St Century ◽  
New Product ◽  
Evaluation Methods ◽  
Clean Technology ◽  
Industrial Policies ◽  
Development Evaluation ◽  
Evaluation Techniques

Main evaluation methods of easy-to-clean property of domestic ceramics and sanitary wares were reviewed. Easy-to-clean technology meets the 21st century energy-saving industrial policies and will improve rapidly in new product development, evaluation techniques and standardization research.

Fuzzy Comprehensive Evaluation on the Thermal Power Plants’ Ability of Energy Conservation and Emission Reduction

2011 ◽  
Vol 281 ◽  
pp. 211-214
Author(s):  
He Rui Cui ◽  
Lu Chen ◽  
Da Fang Qiu
Keyword(s):  
Energy Conservation ◽  
Energy Saving ◽  
Emission Reduction ◽  
Power Plants ◽  
Comprehensive Evaluation ◽  
Thermal Power ◽  
Fuzzy Comprehensive Evaluation ◽  
Pollutant Emission ◽  
Thermal Power Plants ◽  
Specific Implementation

Thermal power industry promotes economic development in a high speed, and it also brings the problem of resources and the environment. Building the evaluation index system of the thermal power plants’ ability of energy saving and emission reduction, we made use of the analytic hierarchy process to determine the weight. And the fuzzy comprehensive evaluation was applied to a thermal power plant in Shandong Province. We obtain following conclusion: the primer factor which confines its ability of energy conservation and emission reduction is pollutant emission. On this basis, we put forward the specific implementation measures from fiscal policy, tax policy and monetary policy, aim is to accelerate the development of China’s energy saving and emission reduction.

scholarly journals Distributionally Robust Self-Scheduling Optimization with CO2Emissions Constraints under Uncertainty of Prices

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Minru Bai ◽  
Zhupei Yang
Keyword(s):  
Energy Saving ◽  
Thermal Power ◽  
Test System ◽  
Low Carbon ◽  
Scheduling Optimization ◽  
Distribution Form ◽  
Scheduling Model ◽  
Marginal Prices ◽  
Locational Marginal Prices ◽  
Distributionally Robust

As a major energy-saving industry, power industry has implemented energy-saving generation dispatching. Apart from security and economy, low carbon will be the most important target in power dispatch mechanisms. In this paper, considering a power system with many thermal power generators which use different petrochemical fuels (such as coal, petroleum, and natural gas) to produce electricity, respectively, we establish a self-scheduling model based on the forecasted locational marginal prices, particularly taking into accountCO2emission constraint,CO2emission cost, and unit heat value of fuels. Then, we propose a distributionally robust self-scheduling optimization model under uncertainty in both the distribution form and moments of the locational marginal prices, where the knowledge of the prices is solely derived from historical data. We prove that the proposed robust self-scheduling model can be solved to any precision in polynomial time. These arguments are confirmed in a practical example on the IEEE 30 bus test system.

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