Process Simulation of Oxy-Fuel Combustion for A 120 MW Coal-Fired Power Plant Using Aspen Plus

Oxy-fuel Combustion is a technology with the potential of drastically reducing the amount of CO2 emission, it relies on the use of oxygen and recycled CO2 instead of air as the oxidant. This helps to reduce the amount of the CO2 and NOx emissions. This study focuses on the components of flue gas produced and their amounts for oxy-fuel combustion in a coal-fired power plant (CFPP) and also the boiler efficiency using the direct (input-output) method. The combustion process of pulverized coal in a 120MW power plant is studied using Aspen Plus 11. The amount of each component in flue gas in coal-fired processes with air or O2/ CO2 (using recycle of 20%, 40%, 60% and 80% of CO2) as oxidizer was obtained. From the process simulation, as the recycle % of CO2 was increased, the flame temperature, CO and NOx emissions were reduced. The simulation results of air combustion were compared with that of oxy-fuel combustion with 80% recycle and it was seen that the flame temperature dropped from 1894oC when air was used as oxidizer to 1679oC for oxy-fuel combustion with 80% recycle. Also, there was a reduction in the amount of NOx produced, but the SOx levels were constant for both combustion processes. The Gross Calorific Value (GCV) of the coal was calculated from its Proximate Analysis using Dulong’s formula and it was used to estimate the Boiler Efficiency using the Direct (Input-Output) method and a value of 83.6% was obtained.

Intelligent Systems for the Internet of Things: Essence, Perspectives and Problems

This article outlines the Internet of Things (IoT). The Internet of Things describes a network of physical objects, i.e., the “thing” including sensors, software, and other technologies for connection and data sharing with other devices and systems over the Internet. In other words, IoT is a relatively new technology enabling many “smart” devices to get connected, to analyze, process, and transfer data to each other and connect to a network. The article clarifies the essence of intelligent systems for the Internet of Things, and analyzes the most popular software for the IoT platform. It studies high-level systems for IoT and analyzes available literature in this field. It highlights most advanced IoT software of 2021. The article also identifies the prospects and challenges of intelligent systems for the Internet of Things. The creation of new intelligent systems for IoT and the development of technology will greatly contribute to the development of economy.

Green Transformation and its Application on Shipping Service Complex

This article is written under the context of old construction Shanghai Shipping Service Complex (SSC) around the port. These buildings are too old to keep pace with the development and urgent to be upgraded. This article generally introduced the green transformation methods and application on the existing buildings in the urban old port district. In order to facilitate the green transformation of the SSC, we carried out an investigation upon the construction, structure design, specific building materials and interior decoration of the original building to form a general understanding. By combining its location features and functional orientation, the optimal transformation scheme was completed through the comparison of the building projects, structural analysis, and energy-saving transformation program. Meanwhile, the effect of the preliminary scheme was tested via energy-saving calculation, computer simulation and field testing. A third party was introduced to certificate the technological application to prove the safety and reliability of the scheme.

Study of Graphene-MoS2 Based SPR Biosensor with Graphene Based SPR Biosensor: Comparative Approach

In this paper, we compare the sensitivity of graphene-MoS2 based surface plasmon resonance (SPR) biosensor to graphene based SPR biosensor. Here, graphene is used as biomolecular recognition element (BRE) because of its high adsorption ability and optical characteristics which helps to improve sensor sensitivity, on the other hand MoS2 is used for it has larger band gap, high fluroscence quenching ability, higher optical absorption efficiency which improves further sensor sensitivity. In DNA hybridization event, numerically achieved results show that single layer of graphene-MoS2 based SPR biosensor is 175% more sensitive than single layer of graphene coated SPR biosensor. Surface plasmon resonance angle and spectrum of reflected power are numerically investigated for different concentrated complementary DNA strands. The variations of SPR angle is significantly computable for complementary DNA strands whereas these parameters are varied negligibly for mismatched DNA strands. Thus the proposed sensor effectively differentiates hybridization and single nucleotide polymorphisms (SNP) by examining the level of changes in SPR angle and reflected power spectrum.