Soft Computing and Computational Intelligent Techniques in the Evaluation of Emerging Energy Technologies

2011 ◽  
pp. 164-197 ◽  
Author(s):  
Selcuk Cebi ◽  
Cengiz Kahraman ◽  
Ihsan Kaya
Keyword(s):  
Soft Computing ◽  
Literature Survey ◽  
Energy Utilization ◽  
Energy Planning ◽  
Energy Sources ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Energy Technologies ◽  
Computational Intelligent

The global warming and energy need requires developing emerging energy technologies for the electricity, heat, and transport markets. The emerging energy technologies aim at increasing efficiency of energy utilization processes from energy sources and diminish CO2 exhalation. The main aim of the chapter is to exhaustively present soft computing and computational intelligent techniques in the evaluation of emerging energy technologies. In the scope of the chapter, classification of emerging energy technologies, their application trends in the literature, a brief explanation for soft computing and computational intelligent techniques, and literature survey of related techniques on both emerging energy technologies and energy planning are included. Moreover, technique for order performance by similarity to ideal solution, analytic hierarchy processes, and their fuzzy structures are introduced.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

Innovation in Energy Law and Technology

2018 ◽  
Keyword(s):  
Technological Innovation ◽  
Technology Development ◽  
Energy Sources ◽  
Market Demand ◽  
Energy Technologies ◽  
Law And Technology ◽  
Low Emission ◽  
Consumer Access ◽  
Legal Innovation ◽  
Energy Law

Technological and legal innovation have been central to energy development for centuries. Today’s era of accelerating change is transforming energy law. Disruption and change to established energy sources, supply, distribution, and energy consumer access is driven by legal innovations that, in turn, prompt or respond to technology. Interaction between legal and technological innovation is advancing the growing global effort to transition from high-carbon energy to low-energy or no-carbon energy—evidenced by the 2015 Paris Agreement on climate change and the growing market demand for carbon-free electricity. This global transition to low-emission energy sources allows nations to take advantage of emerging economic opportunities and facilitates new forms of energy technology development, energy distribution, and governance. But progress is uneven and concerns such as energy security are initiating technological innovation in many existing energy technologies. These authors from twenty-one nations examine relevant developments in global energy law triggered by these innovations.

scholarly journals Analytic Hierarchy Process Analysis for Industrial Application of LNG Bunkering: A Comparison of Japan and South Korea

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2965
Author(s):  
YoungGyu Lee ◽  
JongKwan Kim ◽  
ChangHee Lee
Keyword(s):  
South Korea ◽  
Analytic Hierarchy Process ◽  
Theoretical Basis ◽  
Process Analysis ◽  
Literature Survey ◽  
Ship Emissions ◽  
Analytic Hierarchy ◽  
Optimal Methods ◽  
Hierarchy Process ◽  
Safety First

From January 2020, the International Maritime Organization has regulated ship emissions to reduce sulfur content. As an alternative to this, LNG bunkering was proposed, and infrastructure and ships were deployed. Therefore, we used analytic hierarchy process AHP techniques to determine optimal methods of LNG bunkering for shipyard safety. First, we conducted a literature survey on the concept and type of LNG bunkering, global LNG bunkering trends, and features of Japan and South Korea cases and compared them. Thereafter, an expert survey was conducted, and survey data was analyzed using AHP techniques. Finally, we derived optimal methods applicable to shipyard industry. The analytical results revealed that the derived priority of the optimal LNG bunkering method of shipyard was in the order of the STS method, TTS method, and the PTS method. The result of this study can serve as a theoretical basis to make LNG bunkering safer and more economical in shipyards to prepare for the expansion of demand of LNG-fueled ships and LNG. However, this study inevitably has limitations of ranking reversals paradox as it was conducted by experts, assuming no weights to STS, TTS, or PTS.

scholarly journals Agricultural Residue Management for Sustainable Power Generation: The Poland Case Study

2021 ◽  
Vol 11 (13) ◽  
pp. 5907
Author(s):  
Valerii Havrysh ◽  
Antonina Kalinichenko ◽  
Anna Brzozowska ◽  
Jan Stebila
Keyword(s):  
Power Generation ◽  
Spatial Distribution ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Agricultural Waste ◽  
Energy Utilization ◽  
Evaluation Methodology ◽  
Energy Sources ◽  
Energy Potential ◽  
Agricultural Residue

The European Union has set targets for renewable energy utilization. Poland is a member of the EU, and its authorities support an increase in renewable energy use. The background of this study is based on the role of renewable energy sources in improving energy security and mitigation of climate change. Agricultural waste is of a significant role in bioenergy. However, there is a lack of integrated methodology for the measurement of its potential. The possibility of developing an integrated evaluation methodology for renewable energy potential and its spatial distribution was assumed as the hypothesis. The novelty of this study is the integration of two renewable energy sources: crop residues and animal husbandry waste (for biogas). To determine agricultural waste energy potential, we took into account straw requirements for stock-raising and soil conservation. The total energy potential of agricultural waste was estimated at 279.94 PJ. It can cover up to 15% of national power generation. The spatial distribution of the agricultural residue energy potential was examined. This information can be used to predict appropriate locations for biomass-based power generation facilities. The potential reduction in carbon dioxide emissions ranges from 25.7 to 33.5 Mt per year.

Sistem Pendukung Keputusan Pemilihan Bibit Padi Berkualitas Dengan Metode AHP Dan Topsis

2021 ◽  
Vol 10 (2) ◽  
pp. 162-169
Author(s):  
Istna Mar`atul Khusna ◽  
Novita Mariana
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process

Abstrak— Bibit merupakan salah satu penentu dalam keberhasilan budidaya tanaman padi. Budidaya tanaman padi dimulai dari memilih bibit tanaman yang berkualitas karena bibit termasuk objek utama yang dikembangkan pada budidaya selanjutnya. Bibit sebagai pembawa gen dari induknya yang akan menentukan sifat dari tanaman setelah berproduksi dan untuk mendapatkan bibit padi yang berkualitas dapat diperoleh dari memilih dan menentukan bibit yang berasal dari induk berkualitas. Kualitas bibit merupakan kunci keberhasilan dalam budidaya padi. Bibit yang berkualitas mampu beradaptasi, memiliki pertumbuhan yang cepat serta seragam, tumbuh lebih cepat, tahan hama dan tinggi nilai produktivitasnya. Untuk mendapatkan bibit padi berkualitas, petani sering mengalami kesulitan. Berdasarkan kesulitan yang dialami petani, maka akan dibangun sebuah sistem pendukung keputusan untuk membantu petani memutuskan bibit yang akan ditanam sesuai dengan kondisi lingkungan tanam dengan mempertimbangkan beberapa aspek kriteria. Dalam mengatasi masalah pemilihan bibit padi tersebut dibuat sebuah program sistem pendukung keputusan agar memudahkan informasi dan rekomendasi kepada petani padi tentang bibit yang berkualitas. Dengan menggunakan dua metode yaitu Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penentuan bobot kriteria dilakukan dengan menggunakan metode Analytic Hierarchy Process (AHP), sedangkan untuk tahap perankingan dikerjakan dengan menggunakan metode TOPSIS. Hasil yang didapatkan dari penelitian ini adalah padi berkualitas dari lima alternatif yang sudah ditetapkan, yaitu: Sunggal, Inpari32, Ciherang, IR64, Situbagendit. Sistem menghasilkan nilai preferensi tertinggi yaitu 0,858 pada padi Sunggal di urutan pertama dan  0,767 pada padi Inpari32 diurutan kedua. Jadi dari hasil penelitian ini, peneliti merekomendasikan bibit padi berkualitas yang cocok ditanam di di desa sambongbangi yaitu Sunggal dan Inpari32..Kata Kunci : Bibit Padi, DSS, TOPSIS, AHP, Kualitas Bibit Padi

scholarly journals Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1164 ◽  
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Edmundas Kazimieras Zavadskas ◽  
Dalia Streimikiene
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Scientific Literature ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Energy Sources ◽  
Renewable Energy Technologies ◽  
Advantages And Disadvantages ◽  
Energy Technologies ◽  
Depth Analysis

Different power generation technologies have different advantages and disadvantages. However, if compared to traditional energy sources, renewable energy sources provide a possibility to solve the climate change and economic decarbonization issues that are so relevant today. Therefore, the analysis and evaluation of renewable energy technologies has been receiving increasing attention in the politics of different countries and the scientific literature. The household sector consumes almost one third of all energy produced, thus studies on the evaluation of renewable energy production technologies in households are very important. This article reviews the scientific literature that have used multiple-criteria decision-making (MCDM) methods as a key tool to evaluate renewable energy technologies in households. The findings of the conducted research are categorized according to the objectives pursued and the criteria on which the evaluation was based are discussed. The article also provides an overview and in-depth analysis of MCDM methods and distinguishes the main advantages and disadvantages of using them to evaluate technologies in households.

scholarly journals Technologie energetycznego wykorzystania odpadów

2011 ◽  
Vol 9 (2) ◽  
pp. 103-129
Author(s):  
Krzysztof Biernat ◽  
Paulina Luiza Dziołak ◽  
Izabela Samson-Bręk
Keyword(s):  
Energy Security ◽  
Organic Waste ◽  
Energy Use ◽  
Waste To Energy ◽  
Energy Sources ◽  
Plasma Technology ◽  
Alternative Source ◽  
Energy Technologies ◽  
Biogas Technology

The aim of this paper is to show municipal and organic waste as an alternative source of energy and the benefits which can bring their energy use. These benefits concern both environmental reasons, as well as freedom from conventional energy sources and increasing energy security. The article discusses the biogas technology and plasma technology as the most promising waste to energy technologies.

scholarly journals Fuzzy Logic in Agriculture – A Short Review

2020 ◽  
pp. 165-168
Author(s):  
Balaji Devarajan ◽  
Rajeshkumar L ◽  
Bhuvaneswari V ◽  
Priya A K ◽  
Rajesh P
Keyword(s):  
Fuzzy Logic ◽  
Soft Computing ◽  
Soil Analysis ◽  
Short Review ◽  
Literature Survey ◽  
Plant Production ◽  
Complete Plant

The Fuzzy Logic (FL) is a variant of soft computing which its versatile it widens its applications to all domain. This article focuses on its application in agriculture. The scope of this logic is not limited to few areas of agriculture. It is extended from the soil analysis to complete plant production, all the areas are comprised by the usage of FL. The short wider literature survey is carried out to understand the FL in agriculture.

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