scholarly journals New Carbon Emissions Allowance Allocation Method Based on Equilibrium Strategy for Carbon Emission Mitigation in the Coal-Fired Power Industry

2018 ◽  
Vol 10 (8) ◽  
pp. 2923
Author(s):  
Qing Feng ◽  
Qian Huang ◽  
Qingyan Zheng ◽  
Li Lu
Keyword(s):  
Power Generation ◽  
Carbon Emissions ◽  
Power Plants ◽  
Sensitivity Analyses ◽  
Equilibrium Strategy ◽  
Emission Mitigation ◽  
Solution Approach ◽  
Risk Levels ◽  
Allowance Allocation ◽  
Carbon Emission Mitigation

The carbon emissions from coal-fired power have become an increasing concern to governments around the world. In this paper, a carbon emissions allowances allocation based on the equilibrium strategy is proposed to mitigate coal-fired power generation carbon emissions, in which the authority is the lead decision maker and the coal-fired power plants are the follower decision makers, and an interactive solution approach is designed to achieve equilibrium. A real-world case study is then given to demonstrate the practicality and efficiency of this methodology. Sensitivity analyses under different constraint violation risk levels are also conducted to give authorities some insights into equilibrium strategies for different stakeholders and to identify the necessary tradeoffs between economic development and carbon emissions mitigation. It was found that the proposed method was able to mitigate coal-fired power generation carbon emissions significantly and encourage coal-fired power plants to improve their emissions performance.

scholarly journals Equilibrium Strategy-Based Optimization Method for Carbon Emission Quota Allocation in Conventional Power Plants

2018 ◽  
Vol 10 (9) ◽  
pp. 3195
Author(s):  
Qian Huang ◽  
Qing Feng ◽  
Yuan Tian ◽  
Li Lu
Keyword(s):  
Carbon Emissions ◽  
Power Plants ◽  
Optimal Allocation ◽  
Optimization Method ◽  
Equilibrium Strategy ◽  
Proposed Model ◽  
Emission Quota ◽  
Interactive Algorithm ◽  
Quota Allocation ◽  
Objective Model

Carbon emissions have become significant obstacles to sustainable development. To control carbon emissions, rational carbon emissions quota allocation provides an effective way. As conventional power plants (CPP) are the major contributors to global carbon emissions, this study proposes an equilibrium strategy-based bi-level multi-objective model for carbon emissions quota allocation which fully considers the conflict between the authority and the CPPs, and the conflict between economic development and environmental protection. In addition, uncertainty theory is employed to represent the imprecise parameters in reality. The proposed model is then applied to Shenzhen to show the practicality and efficiency of the proposed model. An interactive algorithm is developed to calculate. Based on results, the proposed method can achieve carbon emissions reductions, cooperative authority-CPPs relationship and economic-environmental coordination. It also indicates that the authority would allocate greater quotas to lower carbon emissions power plants. These results demonstrate the proposed method could help seek optimal allocation policies.

Carbon Emissions Embodied in India–United Kingdom Trade: A Case Study on North–South Debate

2020 ◽  
Vol 55 (2) ◽  
pp. 199-215 ◽  
Author(s):  
Suvajit Banerjee
Keyword(s):  
United Kingdom ◽  
Carbon Emissions ◽  
Bilateral Trade ◽  
Carbon Leakage ◽  
Emission Mitigation ◽  
The United Kingdom ◽  
Carbon Emission Mitigation ◽  
The Uk ◽  
Trade Partners

This study is an appraisal of North–South trade and environmental debate on the context of ‘carbon leakage hypothesis’. This article attempts to quantify the CO2 emissions embodied in the bilateral trade between India and the United Kingdom (hereafter mentioned as the UK) using an input–output model-based analysis for the year 2015. It further proposes a hypothetical situation of no trade between India and UK in order to calculate and analyse the contribution of this bilateral trade in global CO2 emissions. The results from this study confirm the possibility of ‘carbon leakage’ from Indian commodity production sectors and find that among two trade partners, the UK is able to avoid more carbon emissions than India through trade which helps the UK to reach their carbon emission mitigation targets. On the average, manufacturing of commodities in India those are to be exported to the UK generates 1.053 kilo-tonnes of CO2 emission per million dollars of export annually and manufacturing of commodities in the UK which are imported to India generates only 0.141 kilo-tonnes of CO2 emission per million dollars of import from the UK annually for the years 2011, 2013 and 2015. This is because of the proportionately higher consumption of more emission-intensive energy items, like coal, and coal products by India in industrial production than the UK. At the end of the article, this study proposes a few suggestions to ensure a decent level of emission imbalance in the trade flows for the anticipation of increasing India–UK bilateral trade in coming days due to post-BREXIT eventualities to reduce the pressure on the global environment. JEL Codes: C67, F64, Q37, Q42

scholarly journals Carbon Emission Effects of the Coordinated Development of Two-Way Foreign Direct Investment in China

2019 ◽  
Vol 11 (8) ◽  
pp. 2428 ◽  
Author(s):  
Yafei Wang ◽  
Meng Liao ◽  
Yafei Wang ◽  
Arunima Malik ◽  
Lixiao Xu
Keyword(s):  
Foreign Direct Investment ◽  
Carbon Emissions ◽  
Direct Investment ◽  
Carbon Emission ◽  
Generalized Method Of Moments ◽  
Analytical Framework ◽  
Emission Mitigation ◽  
Coordinated Development ◽  
Carbon Emission Mitigation ◽  
Investment In China

This paper innovatively combines Inward Foreign Direct Investment (IFDI) and Outward Foreign Direct Investment (OFDI) as a measure of two-way FDI coordinated development to consider the coupling and coordination level of FDI. Under the analytical framework of Copeland and Taylor (1994), it introduces this new measure to investigate the effects of China’s carbon emissions during 2004–2016, using the spatial econometric model and the differential generalized method of moments. We find that China’s carbon emissions show significant spatial correlation characteristics and interregional diffusion, which indicates that regional coordinated cooperative governance is key to carbon emission mitigation in China, and that China’s two-way FDI coordinated development has presented a significant braking effect on carbon emissions during the research period. Furthermore, we decompose the effects of the two-way FDI on carbon emissions into three parts. This decomposition shows that the scale effect is positive, while both the composition and the technique effects are negative. The technique effect essentially dominates the emission reduction induced by the coordinated development of the two-way FDI.

scholarly journals Screening of native microalgae species for carbon fixation at the vicinity of Malaysian coal-fired power plant

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Liyana Yahya ◽  
Razif Harun ◽  
Luqman Chuah Abdullah
Keyword(s):  
Power Plant ◽  
Flue Gas ◽  
Carbon Capture ◽  
Power Plants ◽  
Carbon Fixation ◽  
Operating Conditions ◽  
Emission Mitigation ◽  
Fixation Rate ◽  
Carbon Emission Mitigation ◽  
Gas Exposure

AbstractGlobal warming has become a serious issue nowadays as the trend of CO2 emission is increasing by years. In Malaysia, the electricity and energy sector contributed a significant amount to the nation’s CO2 emission due to fossil fuel use. Many research works have been carried out to mitigate this issue, including carbon capture and utilization (CCUS) technology and biological carbon fixation by microalgae. This study makes a preliminary effort to screen native microalgae species in the Malaysian coal-fired power plant’s surrounding towards carbon fixation ability. Three dominant species, including Nannochloropsis sp., Tetraselmis sp., and Isochrysis sp. were identified and tested in the laboratory under ambient and pure CO2 condition to assess their growth and CO2 fixation ability. The results indicate Isochrysis sp. as the superior carbon fixer against other species. In continuation, the optimization study using Response Surface Methodology (RSM) was carried out to optimize the operating conditions of Isochrysis sp. using a customized lab-scale photobioreactor under simulated flue gas exposure. This species was further acclimatized and tested under actual flue gas generated by the power plant. Isochrysis sp. had shown its capability as a carbon fixer with CO2 fixation rate of 0.35 gCO2/L day under actual coal-fired flue gas exposure after cycles of acclimatization phase. This work is the first to demonstrate indigenous microalgae species' ability as a carbon fixer under Malaysian coal-fired flue gas exposure. Thus, the findings shall be useful in exploring the microalgae potential as a biological agent for carbon emission mitigation from power plants more sustainably.

scholarly journals Integrated Multi-Attribute Preference Analysis in Fisheries and Solar Power Symbiosis Areas: A Case Study in Cigu, Taiwan

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3265
Author(s):  
Han-Shen Chen ◽  
Hung-Yu Kuo
Keyword(s):  
Power Generation ◽  
Policy Development ◽  
Development Project ◽  
Low Carbon ◽  
Emission Mitigation ◽  
Ecosystem Conservation ◽  
Green Power ◽  
The Status ◽  
Ecological Conservation ◽  
Carbon Emission Mitigation

To achieve the 2025 Non-Nuclear Homeland goal and carbon emission mitigation target, the Taiwan government has been developing actively green and renewable energy with low carbon emissions. This study assessed the FSPS development project in the Cigu region of Tainan City to provide a thorough analysis toward making tradeoffs among ecosystem conservation, aquaculture, fisheries, and green power generation development. This study employs the choice experiment method and designs different attributes and levels to discuss the preferences of stakeholders in the policy development choices for ecosystem conservation and FSPS. The hope is that it can balance economic development and ecological conservation. The findings demonstrate that the tourists’ marginal willingness to pay is low. The respondents then give importance to improving biodiversity. Finally, they prefer minimal changes to the status quo with the FSPS policy implementation. These findings can serve as a reference for decision making for regional sustainable development, aquaculture and fishery upgradation, and green power generation and exploitation.

scholarly journals Predicting the Performance of Solar Power Generation Using Deep Learning Methods

2021 ◽  
Vol 11 (15) ◽  
pp. 6887
Author(s):  
Chung-Hong Lee ◽  
Hsin-Chang Yang ◽  
Guan-Bo Ye
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Photovoltaic Cell ◽  
Power Prediction ◽  
Seasonal Characteristics ◽  
Variable Nature ◽  
Solar Power Plants

In recent years, many countries have provided promotion policies related to renewable energy in order to take advantage of the environmental factors of sufficient sunlight. However, the application of solar energy in the power grid also has disadvantages. The most obvious is the variability of power output, which will put pressure on the system. As more grid reserves are needed to compensate for fluctuations in power output, the variable nature of solar power may hinder further deployment. Besides, one of the main issues surrounding solar energy is the variability and unpredictability of sunlight. If it is cloudy or covered by clouds during the day, the photovoltaic cell cannot produce satisfactory electricity. How to collect relevant factors (variables) and data to make predictions so that the solar system can increase the power generation of solar power plants is an important topic that every solar supplier is constantly thinking about. The view is taken, therefore, in this work, we utilized the historical monitoring data collected by the ground-connected solar power plants to predict the power generation, using daily characteristics (24 h) to replace the usual seasonal characteristics (365 days) as the experimental basis. Further, we implemented daily numerical prediction of the whole-point power generation. The preliminary experimental evaluations demonstrate that our developed method is sensible, allowing for exploring the performance of solar power prediction.

scholarly journals A Study on the Improvement of Efficiency by Detection Solar Module Faults in Deteriorated Photovoltaic Power Plants

2021 ◽  
Vol 11 (2) ◽  
pp. 727 ◽  
Author(s):  
Myeong-Hwan Hwang ◽  
Young-Gon Kim ◽  
Hae-Sol Lee ◽  
Young-Dae Kim ◽  
Hyun-Rok Cha
Keyword(s):  
Power Generation ◽  
Power Plants ◽  
Detection System ◽  
Failure Detection ◽  
Solar Module ◽  
Thermal Images ◽  
Power Stations ◽  
Photovoltaic Power ◽  
Manufacturing Technologies ◽  
Pv Power Generation

In recent years, photovoltaic (PV) power generation has attracted considerable attention as a new eco-friendly and renewable energy generation technology. With the recent development of semiconductor manufacturing technologies, PV power generation is gradually increasing. In this paper, we analyze the types of defects that form in PV power generation panels and propose a method for enhancing the productivity and efficiency of PV power stations by determining the defects of aging PV modules based on their temperature, power output, and panel images. The method proposed in the paper allows the replacement of individual panels that are experiencing a malfunction, thereby reducing the output loss of solar power generation plants. The aim is to develop a method that enables users to immediately check the type of failures among the six failure types that frequently occur in aging PV panels—namely, hotspot, panel breakage, connector breakage, busbar breakage, panel cell overheating, and diode failure—based on thermal images by using the failure detection system. By comparing the data acquired in the study with the thermal images of a PV power station, efficiency is increased by detecting solar module faults in deteriorated photovoltaic power plants.

Low-Carbon Clean Technology for Waste Energy Recovery in Power Plants Based on Green Environmental Protection

2021 ◽  
Author(s):  
Yong Tian ◽  
Wen-Jing Liu ◽  
Qi-jie Jiang ◽  
Xin-Ying Xu
Keyword(s):  
Power Generation ◽  
Power Plants ◽  
Biomass Energy ◽  
Energy Utilization ◽  
Pollutant Emissions ◽  
Total Power ◽  
Economic Losses ◽  
Biomass Waste ◽  
Emission Analysis ◽  
Total Power Consumption

With the development of biomass power generation technology, biomass waste has a more excellent recycling value. The article establishes a biomass waste inventory model based on the material flow analysis method and predicts raw material waste’s energy utilization potential. The results show that the amount of biomass waste generated from 2016 to 2020 is on the rise. In 2020, biomass waste’s energy utilization can reach 107,802,300 tons, equivalent to 1,955.28PJ of energy. Through biomass energy analysis and emission analysis, the results show that the biomass waste can generate 182.02 billion kW⋅h in 2020, which can replace 35.9% of the region’s total power consumption, which is compared with the traditional power generation method under the same power generation capacity. Power generation can reduce SO2 emissions by 250,400 tons, NOx emissions by 399,300 tons, and PM10 emissions by 49,700 tons. Reduce direct economic losses by 712 million yuan. Therefore, Chinese promotion of the recycling of biomass waste and the acceleration of the biomass energy industry’s development is of great significance for reducing pollutant emissions and alleviating energy pressure.

Sign in / Sign up

Export Citation Format

Share Document