scholarly journals Actual Measurement and Evaluation of the Balance between Electricity Supply and Demand in Waste-Treatment Facilities and Development of Adjustment Methods

2021 ◽  
Vol 11 (22) ◽  
pp. 10747
Author(s):  
Daiki Yoshidome ◽  
Ryo Kikuchi ◽  
Yuki Okanoya ◽  
Andante Hadi Pandyaswargo ◽  
Hiroshi Onoda
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Power Plants ◽  
Solar Power ◽  
Supply And Demand ◽  
Actual Measurement ◽  
Power Sources ◽  
Power Load

In Japan, breakthroughs to improve the share of renewable energy in the energy mix have become an urgent issue. However, the problem could not be solved by simply adding more power plants for various technical reasons, such as the unsuitability of using renewable energy as baseloads due to its intermittency. Furthermore, establishing the required cooperative systems for regionally distributed power adjustment is also tricky. Based on these backgrounds, this paper constructs an operation plan that minimizes CO2 emissions by correcting the generation and load patterns of the renewable energy of solar power, utilizing power generation from waste as a substitute for baseload power, and estimating the power demand of each facility. The result shows that by adjusting the operation plans, the model can reduce CO2 emission by 20.95 and 8.30% in weeks with high and low solar power generation surpluses, respectively. Furthermore, these results show that it is possible to reduce CO2 emissions in regions that have power sources with low CO2 emission coefficients by forecasting the amount of power generation and power load in the region and appropriately planning the operation in advance.

Solution to Pakistan Electrical Power Crisis

2008 ◽  
Author(s):  
Sajjad Akbar ◽  
Shahab Khusnood
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Private Sector ◽  
Nuclear Power ◽  
Power Plants ◽  
Supply And Demand ◽  
Electrical Power ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Private Power

Electricity is the engine for the growth of economy of any country. Total installed electricity generation capacity of Pakistan is presently approx 20,000 MW as given in Table-1. Despite this, almost 40% of the population is without electricity. Pakistan has been blessed with tremendous resources for electrical power generation with hydel, coal, renewable energy resources and Nuclear power. Hydel, coal potential of more than 40,000 MW and 10,000 MW are available but only 15% of hydroelectric potential has been harnessed so for where as only 150 MW power plant on indigenous coal has been set up. To exploit Pakistan hydel and coal resources for power generation large investments are needed which Pakistan economy can not afford. Govt. of Pakistan has created an organization of private power and infrastructure board (PPIB) to facilitate private sector in the participation of power generator. PPIB is tapping the resources and facilitating the private sector for establishment of power projects. Pakistan is collaborating with China for establishment of Nuclear Power Plants and plan to generate up to 10,000 MW by year 2025. Renewable energy resources are also required to be tapped. This paper will focus on the Pakistan power generation potential by utilizing local resources keeping in view the next 20 year supply and demand position.

scholarly journals Potential of Renewable Energy Resources with an Emphasis on Solar Power in Iraq: An Outlook

Resources ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 42 ◽  
Author(s):  
Hussain Al-Kayiem ◽  
Sanan Mohammad
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Solar Energy ◽  
Power Plants ◽  
Solar Power ◽  
Thermal Power ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Concentrated Solar Power ◽  
The Cost

This study presents an outlook on the renewable energies in Iraq, and the potential for deploying concentrated solar power technologies to support power generation in Iraq. Solar energy has not been sufficiently utilized at present in Iraq. However, this energy source can play an important role in energy production in Iraq, as the global solar radiation ranging from 2000 kWh/m2 to a 2500 kWh/m2 annual daily average. In addition, the study presents the limited current solar energy activities in Iraq. The attempts of the Iraqi government to utilize solar energy are also presented. Two approaches for utilizing concentrated solar power have been proposed, to support existing thermal power generation, with the possibility of being implemented as standalone plants or being integrated with thermal power plants. However, the cost analysis has shown that for 50 kW concentrated solar power in Iraq, the cost is around 0.23 US cent/kWh without integration with energy storage. Additionally, notable obstacles and barriers bounding the utilization of solar energy are also discussed. Finally, this study proposes initiatives that can be adopted by the Iraqi government to support the use of renewable energy resources in general, and solar energy in particular.

scholarly journals Day-Ahead Scheduling for Renewable Energy Generation Systems considering Concentrating Solar Power Plants

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiaojuan Lu ◽  
Leilei Cheng
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power Plants ◽  
Solar Power ◽  
Thermal Power ◽  
Energy Resource ◽  
Energy Generation ◽  
Concentrating Solar Power ◽  
Solar Power Plants ◽  
Renewable Energy Generation

With the advent of the new types of electrical systems that attach more importance to the renewability of the energy resource, issues arising out of the randomness and volatility of the renewable energy resource, such as the safety, reliability, and economic operation of the underlying power generation system, are expected to be challenging. Generally speaking, the power generation company can do a reasonable dispatch of each unit according to weather forecast and load demand information. Focusing on concentrating solar power (CSP) plants (wind power, photovoltaic, battery energy storage, and thermal power plants), this paper proposes a day-ahead scheduling model for renewable energy generation systems. The model also considers demand response and related generator set constraints. The problem is described as a mixed-integer nonlinear programming (MINLP) problem, which can be solved by the CPLEX solver to obtain an optimal solution. At the same time, the paper compares and analyzes the impact of concentrating solar power plants on other renewable energy generation and thermal power operation systems. The results show that the renewable energy generation system can lower power generation costs, reduce load fluctuation, and enhance the energy storage rate.

scholarly journals Assessing Uncertainties of Life-Cycle CO2 Emissions Using Hydrogen Energy for Power Generation

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6943
Author(s):  
Akito Ozawa ◽  
Yuki Kudoh
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Life Cycle ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy Sources ◽  
Hydrogen Energy ◽  
Low Carbon

Hydrogen and its energy carriers, such as liquid hydrogen (LH2), methylcyclohexane (MCH), and ammonia (NH3), are essential components of low-carbon energy systems. To utilize hydrogen energy, the complete environmental merits of its supply chain should be evaluated. To understand the expected environmental benefit under the uncertainty of hydrogen technology development, we conducted life-cycle inventory analysis and calculated CO2 emissions and their uncertainties attributed to the entire supply chain of hydrogen and NH3 power generation (co-firing and mono-firing) in Japan. Hydrogen was assumed to be produced from overseas renewable energy sources with LH2/MCH as the carrier, and NH3 from natural gas or renewable energy sources. The Japanese life-cycle inventory database was used to calculate emissions. Monte Carlo simulations were performed to evaluate emission uncertainty and mitigation factors using hydrogen energy. For LH2, CO2 emission uncertainty during hydrogen liquefaction can be reduced by using low-carbon fuel. For MCH, CO2 emissions were not significantly affected by power consumption of overseas processes; however, it can be reduced by implementing low-carbon fuel and waste-heat utilization during MCH dehydrogenation. Low-carbon NH3 production processes significantly affected power generation, whereas carbon capture and storage during NH3 production showed the greatest reduction in CO2 emission. In conclusion, reducing CO2 emissions during the production of hydrogen and NH3 is key to realize low-carbon hydrogen energy systems.

scholarly journals Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems

2021 ◽  
Vol 13 (12) ◽  
pp. 6681
Author(s):  
Simian Pang ◽  
Zixuan Zheng ◽  
Fan Luo ◽  
Xianyong Xiao ◽  
Lanlan Xu
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Solar Power ◽  
Prediction Method ◽  
Random Fluctuation ◽  
Concentrating Solar Power ◽  
Short Term ◽  
Hybrid Forecasting ◽  
Energy Cluster

Forecasting of large-scale renewable energy clusters composed of wind power generation, photovoltaic and concentrating solar power (CSP) generation encounters complex uncertainties due to spatial scale dispersion and time scale random fluctuation. In response to this, a short-term forecasting method is proposed to improve the hybrid forecasting accuracy of multiple generation types in the same region. It is formed through training the long short-term memory (LSTM) network using spatial panel data. Historical power data and meteorological data for CSP plant, wind farm and photovoltaic (PV) plant are included in the dataset. Based on the data set, the correlation between these three types of power generation is proved by Pearson coefficient, and the feasibility of improving the forecasting ability through the hybrid renewable energy clusters is analyzed. Moreover, cases study indicates that the uncertainty of renewable energy cluster power tends to weaken due to partial controllability of CSP generation. Compared with the traditional prediction method, the hybrid prediction method has better prediction accuracy in the real case of renewable energy cluster in Northwest China.

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 Analyzing the Renewable Energy and CO2 Emission Levels Nexus at an EU Level: A Panel Data Regression Approach

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 130
Author(s):  
Mihail Busu ◽  
Alexandra Catalina Nedelcu
Keyword(s):  
Renewable Energy ◽  
Panel Data ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Negative Impact ◽  
National Level ◽  
Renewable Energy Consumption ◽  
Urbanization Level ◽  
Carbon Dioxide Co2 ◽  
The Impact

In the past decades, carbon dioxide (CO2) emissions have become an important issue for many researchers and policy makers. The focus of scientists and experts in the area is mainly on lowering the CO2 emission levels. In this article, panel data is analyzed with an econometric model, to estimate the impact of renewable energy, biofuels, bioenergy efficiency, population, and urbanization level on CO2 emissions in European Union (EU) countries. Our results underline the fact that urbanization level has a negative impact on increasing CO2 emissions, while biofuels, bioenergy production, and renewable energy consumption have positive and direct impacts on reducing CO2 emissions. Moreover, population growth and urbanization level are negatively correlated with CO2 emission levels. The authors’ findings suggest that the public policies at the national level must encourage the consumption of renewable energy and biofuels in the EU, while population and urbanization level should come along with more restrictions on CO2 emissions.

scholarly journals Comparative Environmental, Economic, and Jobs Impacts in the USA of Renewable Energy Compared to Carbon Capture, Utilization, and Storage

2021 ◽  
pp. 1-7
Author(s):  
Roger H Bezdek ◽  
Keyword(s):  
Renewable Energy ◽  
Environmental Economic ◽  
Power Plant ◽  
Co2 Emissions ◽  
Carbon Capture ◽  
Power Plants ◽  
Economic Benefits ◽  
The Usa ◽  
Coal Power ◽  
And Storage

This paper assesses the relative economic and jobs benefits of retrofitting an 847 MW USA coal power plant with carbon capture, utilization, and storage (CCUS) technology compared to replacing the plant with renewable (RE) energy and battery storage. The research had two major objectives: 1) Estimate the relative environmental, economic, and jobs impacts of CCUS retrofit of the coal plant compared to its replacement by the RE scenario; 2) develop metrics that can be used to compare the jobs impacts of coal fueled power plants to those of renewable energy. The hypotheses tested are: 1) The RE option will reduce CO2 emissions more than the CCUS option. We reject this hypothesis: We found that the CCUS option will reduce CO2 emissions more than the RE option. 2) The RE option will generate greater economic benefits than the CCUS option. We reject this hypothesis: We found that the CCUS option will create greater economic and jobs benefits than the RE option. 3) The RE option will create more jobs per MW than the CCUS option. We reject this hypothesis: We found that the CCUS option will create more jobs per MW more than the RE option. We discuss the implications of these findings.

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