Modeling and Multi-Stage Planning of Cement-IIES Considering Carbon-Green Certificate Trading

نویسندگان

چکیده

The cement industry is an important industrial entity responsible for implementing carbon emission reduction targets. Considering the trading and green certificate mechanisms, this paper presents a multi-stage planning approach constructed Cement-Industrial Integrated Energy System (Cement-IIES). Carbon technologies represented by low-temperature waste heat recovery, as well phased changes in economic technical parameters, are considered model. case study shows that proposed method not only optimizes design economy of Cement-IIES but also achieves substantial production process energy supply system. Compared with traditional single-stage planning, improves system’s efficiency 13.88% flexibly adapts to policies such “coal reform”, quotas. recovery technology helps system utilization two stages increase 0.45% 0.86%, respectively, whilst oxygen-enriched combustion capture can reduce total emissions about 83%. In addition, negative effect biomass gives access annual benefits CNY 3.10 × 107 7.89 stages, respectively.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Increasing flexural strength and toughness of cement mortar using multi-walled Carbon nanotubes

In this study the effect of using multi-walled carbon nanotube (MWCNT) on flexural and compressive strengths, ultimate displacement and energy absorption capability of standard cement mortar considering different weight percentages of nanotubes as well as different dispersion methods has been investigated. Influential point in adding nanotubes to the composites is their proper dispersion, which...

متن کامل

Multi-objective Dynamic Planning of Substations and Primary Feeders Considering Uncertainties and Reliability

This research uses a comprehensive method to solve a combinatorial problem of distribution network expansion planning (DNEP) problem. The proposed multi-objective scheme aims to improve power system's accountability and system performance parameters, simultaneously, in the lowest possible costs. The dynamic programming approach is implemented in order to find the optimal sizing, siting and timi...

متن کامل

Multi-objective planning of charging stations considering benefits of distribution company and charging stations owners

In recent years, electric vehicles have attracted significant attention due to environmental issues. Charging stations installation requires a systematic consideration of relevant issues such as determination of the location and size of charging stations. On the other hand, it is necessary to encourage private investors to invest in charging stations installations and to provide proper conditio...

متن کامل

A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty

In this study, a two-stage inexact-stochastic programming (TISP) method is developed for planning carbon dioxide (CO2) emission trading under uncertainty. The developed TISP incorporates techniques of interval-parameter programming (IPP) and two-stage stochastic programming (TSP) within a general optimization framework. The TISP can not only tackle uncertainties expressed as probabilistic distr...

متن کامل

Increasing flexural strength and toughness of cement mortar using multi-walled Carbon nanotubes

In this study the effect of using multi-walled carbon nanotube (MWCNT) on flexural and compressive strengths, ultimate displacement and energy absorption capability of standard cement mortar considering different weight percentages of nanotubes as well as different dispersion methods has been investigated. Influential point in adding nanotubes to the composites is their proper dispersion, which...

متن کامل

ذخیره 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: Processes

سال: 2023

ISSN: ['2227-9717']

DOI: https://doi.org/10.3390/pr11041219