Fuel Reduction Effect of the Solar Cell and Diesel Engine Hybrid System with a Prediction Algorithm of Solar Power Generation

2011 ◽  
pp. 815-839
Author(s):  
Shin’ya Obara
Keyword(s):  
Solar Cell ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Hybrid System ◽  
Green Energy ◽  
Energy Utilization ◽  
Electricity Production ◽  
Weather Data ◽  
Prediction Algorithm ◽  
Reduction Effect

Green energy utilization technology is an effective means of reducing greenhouse gas emissions. We developed the production-of-electricity prediction algorithm (PAS) of the solar cell. In this algorithm, a layered neural network is made to learn based on past weather data and the operation plan of the hybrid system (proposed system) of a solar cell and a diesel engine generator was examined using this prediction algorithm. In addition, system operation without a electricity-storage facility, and the system with the engine generator operating at 25% or less of battery residual quantity was investigated, and the fuel consumption of each system was measured. Numerical simulation showed that the fuel consumption of the proposed system was modest compared with other operating methods. However, there was a significant difference in the prediction error of the electricity production of the solar cell and the actual value, and the proposed system was shown to be not always superior to others. Moreover, although there are errors in the predicted and actual values using PAS, there is no significant influence in the operation plan of the proposed system in almost all cases.

Fuel Reduction Effect of the Solar Cell and Diesel Engine Hybrid System with a Prediction Algorithm of Solar Power Generation

2010 ◽  
pp. 242-271
Author(s):  
Shin’ya Obara
Keyword(s):  
Solar Cell ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Hybrid System ◽  
Green Energy ◽  
Energy Utilization ◽  
Electricity Production ◽  
Weather Data ◽  
Prediction Algorithm ◽  
Reduction Effect

Green energy utilization technology is an effective means of reducing greenhouse gas emissions. We developed the production-of-electricity prediction algorithm (PAS) of the solar cell. In this algorithm, a layered neural network is made to learn based on past weather data and the operation plan of the hybrid system (proposed system) of a solar cell and a diesel engine generator was examined using this prediction algorithm. In addition, system operation without a electricity-storage facility, and the system with the engine generator operating at 25% or less of battery residual quantity was investigated, and the fuel consumption of each system was measured. Numerical simulation showed that the fuel consumption of the proposed system was modest compared with other operating methods. However, there was a significant difference in the prediction error of the electricity production of the solar cell and the actual value, and the proposed system was shown to be not always superior to others. Moreover, although there are errors in the predicted and actual values using PAS, there is no significant influence in the operation plan of the proposed system in almost all cases.

Microgrid with Numerical Weather Information

2014 ◽  
pp. 321-351
Keyword(s):  
Solar Cell ◽  
Diesel Engine ◽  
Energy Supply ◽  
Optimal Operation ◽  
Electricity Production ◽  
Prediction Algorithm ◽  
Numerical Weather ◽  
Weather Information ◽  
Operation Algorithm ◽  
Operation Results

This chapter consists of two sections, ‘Compound Microgrid Installation Operation Planning of a PEFC and Photovoltaics with Prediction of Electricity Production Using GA and Numerical Weather Information’ and ‘Energy Supply Characteristics of a Combined Solar Cell and Diesel Engine System with a Prediction Algorithm for Solar Power Generation’. The optimal operation algorithm of a photovoltaics compound microgrid is developed using numerical weather information (NWI) in the 1st section. The relation between the NWI error characteristics and the operation results of the system is clarified. The 2nd section proposes a prediction algorithm based on a neural network to predict the electricity production from a solar cell. The operation plan for a combined photovoltaics and diesel engine generator is examined using the NN prediction algorithm.

scholarly journals Assessment of Decentralized Electricity Production from Hybrid Renewable Energy Sources for Sustainable Energy Development in Nigeria

2019 ◽  
Vol 9 (1) ◽  
pp. 72-89 ◽  
Author(s):  
Sunday Olayinka Oyedepo ◽  
Theophilus Uwoghiren ◽  
Philip Olufemi Babalola ◽  
Stephen C. Nwanya ◽  
Oluwaseun Kilanko ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Solar Radiation ◽  
Hybrid System ◽  
Sustainable Energy ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Electricity Production ◽  
Weather Data ◽  
Renewable Energy Resource

AbstractThis paper presents technical and economic assessment of a hybrid energy system for electricity generation in rural communities in the six geopolitical zones of Nigeria. The study was based on a 500 rural household model having an electric load of 493 kWh per day. To simulate long-term continuous implementation of the hybrid system, 21 years (1992 – 2012) hourly mean global solar radiation and wind speed data for the selected sites were used. The mean annual wind speed and solar radiation for the locations ranged from 2.31 m/s for Warri to 3.52 m/ s for Maiduguri and 4.53 kWh/m2 for Warri to 5.92 kWh/m2 for Maiduguri, respectively. These weather data were used for simulation with the Micro-power Optimization Model software HOMER. From the optimum results of the hybrid system,Warri has the highest NPC and COE of $2,441,222 and $0.721/kWh, respectively while Maiduguri has the least NPC and COE of $2,225,387 and $0.658/kWh, respectively for the 21 years project lifespan. The high value of COE for Warri is due to its low renewable energy resource while low COE for Maiduguri is due to its high renewable energy resource. The Northern part of the country has ample renewable energy resource availability and with a strong political will, optimal utilization of these renewable resources (solar and wind) can be actualized. Researchers, Industrialists, Policy Makers and the Nigerian government should therefore seize this opportunity in developing a sustainable energy through utilization of abundant renewable energy resources in the country.

scholarly journals Performance and Emission Characteristics of Cotton Seed and Hexanol Oil Biodiesel with CeO2 Additives on Single Cylinder Diesel Engine

2019 ◽  
pp. 275-282
Author(s):  
M. Anilkumar ◽  
K. Prahladarao
Keyword(s):  
Diesel Engine ◽  
Fuel Consumption ◽  
Cotton Seed ◽  
Vital Role ◽  
Performance Characteristics ◽  
Energy Utilization ◽  
Emission Characteristics ◽  
Single Cylinder ◽  
Performance And Emission ◽  
Brake Power

Energy utilization from renewable sources plays a vital role to meet the demands of theclean environment. Commercialization of biodiesel is comparatively less than the otheralternative sources due to its suitability and yield. In this paper, it is focused on performance and emission characteristics of cotton seed and hexanol oil biodiesel and in blended withcerium oxide as an additive. The blending proportion was made as B10, B15, B20, and100% Diesel. The testing was performed in Single cylinder four stroke diesel engine. The Performance characteristics were obtained in between the brake power withspecific fuel consumption and emission characteristics such as HC CO and NOXand other gases. It was observed that the combination of B15 proportion with CeO2 blendproduces effect results with other blends in specific fuel consumption and reduced emissionbehavior.

DIESEL ENGINE OPERATION IN USE OF FUEL WITH ADDITIVES

2018 ◽  
pp. 18-24
Author(s):  
Petar Kazakov ◽  
Atanas Iliev ◽  
Emil Marinov
Keyword(s):  
Diesel Engine ◽  
Fuel Consumption ◽  
Diesel Fuel ◽  
Internal Combustion Engines ◽  
Experimental Studies ◽  
Combustion Engines ◽  
Engine Operation ◽  
Factors Affecting ◽  
Operating Modes ◽  
Positive Effects

Over the decades, more attention has been paid to emissions from the means of transport and the use of different fuels and combustion fuels for the operation of internal combustion engines than on fuel consumption. This, in turn, enables research into products that are said to reduce fuel consumption. The report summarizes four studies of fuel-related innovation products. The studies covered by this report are conducted with diesel fuel and usually contain diesel fuel and three additives for it. Manufacturers of additives are based on already existing studies showing a 10-30% reduction in fuel consumption. Comparative experimental studies related to the use of commercially available diesel fuel with and without the use of additives have been performed in laboratory conditions. The studies were carried out on a stationary diesel engine СМД-17КН equipped with brake КИ1368В. Repeated results were recorded, but they did not confirm the significant positive effect of additives on specific fuel consumption. In some cases, the factors affecting errors in this type of research on the effectiveness of fuel additives for commercial purposes are considered. The reasons for the positive effects of such use of additives in certain engine operating modes are also clarified.

STUDI PENENTUAN KOMPOSISI OPTIMUM CAMPURAN BAHAN BAKAR BIODIESEL–PETRODIESEL

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Soni S. Wirawan dkk
Keyword(s):  
Carbon Monoxide ◽  
Particulate Matter ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Diesel Fuel ◽  
Cetane Number ◽  
Price Policy ◽  
Oxides Of Nitrogen ◽  
Fuel Price ◽  
Biodiesel Blend

Biodiesel is a viable substitute for petroleum-based diesel fuel. Its advantages are improved lubricity, higher cetane number and cleaner emission. Biodiesel and its blends with petroleum-based diesel fuel can be used in diesel engines without any signifi cant modifi cations to the engines. Data from the numerous research reports and test programs showed that as the percent of biodiesel in blends increases, emission of hydrocarbons (HC), carbon monoxide (CO), and particulate matter (PM) all decrease, but the amount of oxides of nitrogen (NOx) and fuel consumption is tend to increase. The most signifi cant hurdle for broader commercialization of biodiesel is its cost. In current fuel price policy in Indonesia (especially fuel for transportation), the higher percent of biodiesel in blend will increase the price of blends fuel. The objective of this study is to assess the optimum blends of biodiesel with petroleum-based diesel fuel from the technically and economically consideration. The study result recommends that 20% biodiesel blend with 80% petroleum-based diesel fuel (B20) is the optimum blend for unmodifi ed diesel engine uses.Keywords: biodiesel, emission, optimum, blend

scholarly journals Investigation of Effect on Environmental Performance of Using LNG as Fuel for Engines in Seaport Tugboats

2021 ◽  
Vol 9 (2) ◽  
pp. 123
Author(s):  
Sergejus Lebedevas ◽  
Lukas Norkevičius ◽  
Peilin Zhou
Keyword(s):  
Diesel Engine ◽  
Natural Gas ◽  
Baltic Sea ◽  
Impact Assessment ◽  
Fuel Consumption ◽  
Dual Fuel ◽  
Nox Emissions ◽  
The Baltic Sea ◽  
Emission Analysis ◽  
The Baltic

Decarbonization of ship power plants and reduction of harmful emissions has become a priority in the technological development of maritime transport, including ships operating in seaports. Engines fueled by diesel without using secondary emission reduction technologies cannot meet MARPOL 73/78 Tier III regulations. The MEPC.203 (62) EEDI directive of the IMO also stipulates a standard for CO2 emissions. This study presents the results of research on ecological parameters when a CAT 3516C diesel engine is replaced by a dual-fuel (diesel-liquefied natural gas) powered Wartsila 9L20DF engine on an existing seaport tugboat. CO2, SO2 and NOx emission reductions were estimated using data from the actual engine load cycle, the fuel consumption of the KLASCO-3 tugboat, and engine-prototype experimental data. Emission analysis was performed to verify the efficiency of the dual-fuel engine in reducing CO2, SO2 and NOx emissions of seaport tugboats. The study found that replacing a diesel engine with a dual-fuel-powered engine led to a reduction in annual emissions of 10% for CO2, 91% for SO2, and 65% for NOx. Based on today’s fuel price market data an economic impact assessment was conducted based on the estimated annual fuel consumption of the existing KLASCO-3 seaport tugboat when a diesel-powered engine is replaced by a dual-fuel (diesel-natural gas)-powered engine. The study showed that a 33% fuel costs savings can be achieved each year. Based on the approved methodology, an ecological impact assessment was conducted for the entire fleet of tugboats operating in the Baltic Sea ports if the fuel type was changed from diesel to natural gas. The results of the assessment showed that replacing diesel fuel with natural gas achieved 78% environmental impact in terms of NOx emissions according to MARPOL 73/78 Tier III regulations. The research concludes that new-generation engines on the market powered by environmentally friendly fuels such as LNG can modernise a large number of existing seaport tugboats, significantly reducing their emissions in ECA regions such as the Baltic Sea.

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