A mathematical programming model for facility location optimization of hydrogen production from renewable energy sources

2020 ◽  
pp. 1-12
Author(s):  
Onur Derse ◽  
Elifcan Göçmen ◽  
Ebru Yılmaz ◽  
Rızvan Erol
Keyword(s):  
Renewable Energy ◽  
Hydrogen Production ◽  
Mathematical Programming ◽  
Facility Location ◽  
Programming Model ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Mathematical Programming Model ◽  
Location Optimization

scholarly journals Optimal Economic Dispatch in Microgrids with Renewable Energy Sources

Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 181 ◽  
Author(s):  
F. Daniel Santillán-Lemus ◽  
Hertwin Minor-Popocatl ◽  
Omar Aguilar-Mejía ◽  
Ruben Tapia-Olvera
Keyword(s):  
Renewable Energy ◽  
Mathematical Programming ◽  
Renewable Energy Sources ◽  
Economic Dispatch ◽  
Energy Sources ◽  
Programming Approach ◽  
Mathematical Programming Approach ◽  
Model Predictive Control Algorithm ◽  
Pollution Emissions ◽  
Dynamic Economic Dispatch

Due to the opening of the energy market and agreements for the reduction of pollution emissions, the use of microgrids attracts more attention in the scientific community, but the management of the distribution of electricity has new challenges. This paper considers different distributed generation systems as a main part to design a microgrid and the resources management is defined in a period through proposed dynamic economic dispatch approach. The inputs are obtained by the model predictive control algorithm considering variations of both pattern of consumption and generation systems capacity, including conventional and renewable energy sources. Furthermore, the proposed approach considers a benefits program to customers involving a demand restriction and the costs of regeneration of the pollutants produced by conventional generation systems. The dispatch strategy through a mathematical programming approach seeks to reduce to the minimum the fuel cost of conventional generators, the energy transactions, the regeneration of polluted emissions and, finally, includes the benefit in electricity demand reduction satisfying all restrictions through mathematical programming strategy. The model is implemented in LINGO 17.0 software (Lindo Systems, 1415 North Dayton Street, Chicago, IL, USA). The results exhibit the proposed approach effectiveness through a study case under different considerations.

scholarly journals Main Hydrogen Production Processes: An Overview

Catalysts ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 547
Author(s):  
Marco Martino ◽  
Concetta Ruocco ◽  
Eugenio Meloni ◽  
Pluton Pullumbi ◽  
Vincenzo Palma
Keyword(s):  
Renewable Energy ◽  
Water Vapor ◽  
Hydrogen Production ◽  
Renewable Energy Sources ◽  
Review Article ◽  
Energy Sources ◽  
Production Methods ◽  
Carbon Neutrality ◽  
Renewable Feedstocks ◽  
Production Processes

Due to its characteristics, hydrogen is considered the energy carrier of the future. Its use as a fuel generates reduced pollution, as if burned it almost exclusively produces water vapor. Hydrogen can be produced from numerous sources, both of fossil and renewable origin, and with as many production processes, which can use renewable or non-renewable energy sources. To achieve carbon neutrality, the sources must necessarily be renewable, and the production processes themselves must use renewable energy sources. In this review article the main characteristics of the most used hydrogen production methods are summarized, mainly focusing on renewable feedstocks, furthermore a series of relevant articles published in the last year, are reviewed. The production methods are grouped according to the type of energy they use; and at the end of each section the strengths and limitations of the processes are highlighted. The conclusions compare the main characteristics of the production processes studied and contextualize their possible use.

scholarly journals “Qualitative Analysis to Assess the Best Renewable Energy Scenario for Sustainable Energy Planning”

2019 ◽  
Vol 8 (10) ◽  
pp. 1364-1370
Keyword(s):  
Renewable Energy ◽  
Qualitative Analysis ◽  
Rural Area ◽  
Programming Model ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Energy Scenario ◽  
Goal Programming Model ◽  
National Productivity ◽  
The Government

Rural population in developing nation is having limited access to the clean and modern energy sources. Rural poor in India are mostly dependent on electricity, fire wood, dung, and biomass for their domestic energy need. Due to the dependence on conventional energy sources pollution and rural health are the issue of concern which directly affect on the national productivity. Ministry of New and Renewable Energy of the Government of India giving stress to intensify the energy supply and modern sources of energy to rural area up to normal consumption level through renewable energy sources The aim of the present study is to determine the best renewable energy scenario for sustainable development of rural area. For this aim, author used both quantitative and qualitative analysis technique to determine the best energy scenario for application. For quantitative analysis multi objective goal programming model is used and the result obtained by it validated with multi-attribute decision making approach. The present work specifically focused on Analytic Hierarchy Process (AHP) methodology. In the proposed method, the weights of the selection criteria are determined by pair-wise comparison matrices of the AHP. Results indicate that Cost Employment Generation Scenario (CEGS) is the most appropriate renewable energy option.

scholarly journals Improvement of Hydrogen Production during Anaerobic Fermentation of Food Waste Leachate by Enriched Bacterial Culture Using Biochar as an Additive

2021 ◽  
Vol 9 (12) ◽  
pp. 2438
Author(s):  
Van Hong Thi Pham ◽  
Jaisoo Kim ◽  
Soonwoong Chang ◽  
Woojin Chung
Keyword(s):  
Renewable Energy ◽  
Hydrogen Production ◽  
Food Waste ◽  
Renewable Energy Sources ◽  
High Energy ◽  
Waste To Energy ◽  
Energy Sources ◽  
Hydrogen Yield ◽  
Food Waste Leachate ◽  
Waste Leachate

It has become urgent to develop cost-effective and clean technologies for the rapid and efficient treatment of food waste leachate, caused by the rapid accumulation of food waste volume. Moreover, to face the energy crisis, and to avoid dependence on non-renewable energy sources, the investigation of new sustainable and renewable energy sources from organic waste to energy conversion is an attractive option. Green energy biohydrogen production from food waste leachate, using a microbial pathway, is one of the most efficient technologies, due to its eco-friendly nature and high energy yield. Therefore, the present study aimed to evaluate the ability of an enriched bacterial mixture, isolated from forest soil, to enhance hydrogen production from food waste leachate using biochar. A lab-scale analysis was conducted at 35 °C and at different pH values (4, no adjustment, 6, 6.5, 7, and 7.5) over a period of 15 days. The sample with the enriched bacterial mixture supplemented with an optimum of 10 g/L of biochar showed the highest performance, with a maximum hydrogen yield of 1620 mL/day on day three. The total solid and volatile solid removal rates were 78.5% and 75% after 15 days, respectively. Acetic and butyrate acids were the dominant volatile fatty acids produced during the process, as favorable metabolic pathways for accelerating hydrogen production.

scholarly journals Mathematical Programming Model for the Two-Level Facility Location Problem: The Case of Tanzanian Emergence Maize Distribution Network for 2004–2010 Maize Data

2021 ◽  
Vol 47 (3) ◽  
pp. 1020-1032
Author(s):  
Said A Sima
Keyword(s):  
Mathematical Programming ◽  
Facility Location ◽  
Location Problem ◽  
Programming Model ◽  
Transportation Network ◽  
Distribution Network ◽  
Facility Location Problem ◽  
Optimal Location ◽  
Mathematical Programming Model ◽  
Maize Crop

A two-level facility location problem (FLP) has been studied in the transportation network of emergence maize crop in Tanzania. The facility location problem is defined as the optimal location of facilities or resources so as to minimize costs in terms of money, time, distance and risks with the relation to supply and demand points. Distribution network design problems consist of determining the best way to transfer goods from the supply to the demand points by choosing the structure of the network such that the overall cost is minimized. The three layers, namely production centres (PCs), distribution centres (DCs) and customer points (CPs) are considered in the two-level FLP. The flow of maize from PCs to CPs through DCs is designed at a minimum cost under deterministic mathematical programming model. The four decisions to be made simultaneously are: to determine the locations of DCs (including number of DCs), allocation of CPs to the selected DCs, allocation of selected DCs to PCs, and to determine the amount of maize crop transported from PCs to DCs and then from DCs to CPs. The modelled problem generated results through optimization with respect to optimal location-allocation strategies. The results of the optimized network shows the improvement in costs saving compared to the manually operated existing network. The results show the costs saving of up to 18% which is equivalent to $2,910 thousand (TZS 2.9 billion). Keywords:    Optimization; Maize crop; Transportation network; Deterministic model; Facility location

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