Investigating the ecological efficiency of widely utilized bio-sourced insulation materials in the building lifecycle

Because of rising pollutant emissions, potential global warming results, and rising energy demands, environmentally friendly and renewable building insulation materials are increasing in popularity. The changes in fossil-based energy resource prices, climate variation, and ecological menaces have resulted in important requisitions for bio-sourced and renewable materials, with building products accounting for an important volume. The building sector has important social, environmental, and financial effects. C-footprint of 15 insulating materials was investigated to compare the ecological efficiency of a building over its entire lifecycle. The values calculated were crosschecked with the thermal insulation’s real impact. The benchmark was made with the ecological effect evaluation rating by accounting for each material’s density and also variances in thermal conductivity degree. This research characterizes how to choose the most environment-friendly construction insulating material from the present alternatives based on a series of qualitative and quantitative parameters. It is suggested that the analytic hierarchy process be used to evaluate options and select the best option. The article presents the findings of a search for the most environmentally friendly bio-sourced thermal insulating material for buildings

The Selection of the Best Solar Panel for the Photovoltaic System Design by Using AHP

AbstractThere has been numerous efforts by researchers worldwide cooperating to reduce the material costs of photovoltaic panels, efficient novel products and improve their energy efficiency and procreate innovative and practices based on photovoltaic system design technology. The aim of this paper is to select the best solar panel for the photovoltaic system design by using AHP (Analytical Hierarchy Process) from the multi-criteria decision making methods. Among 200W solar panel brands, the problem of selecting the best solar panel is evaluated, using fifteen electrical, three mechanicals, three economic, three customers and two environment related criteria. Used data is obtained from the solar panel companies worldwide

Evaluation of Vegetable Oil-Sourced Lubricants for Transition to Green Alternative at Sustainable Energy Solutions for Automotive Industry

In recent decades, the rising energy needs has concluded in much more lubricant usage. Lubricants play a significant part in decreasing the friction and wear among bustling superficies. They are among the greatest drivers of oil need. The ecological affects arising from the direct petroleum-based lubricants’ entry requires the implementation of bio-sourced lubricants as a perfect option to petroleum-derived lubricants. The bio-sourced lubricants’ primary resources are oils derived from plants. There are numerous compatibilities between petroleum-based lubricants and triglycerides from the view point of physical and chemical features. Because of their non-food competition, less expense, and simple usability, vegetable-sourced oils are a potential option to fossil-sourced lubricants for the fabrication of wide-ranging sector implementations. Thus, the implementation of nonedible oils as a maintainable biobased lubricant source plays an important part in lubricant sectors. In this study, the physicochemical features, molecular structures, and other important lubrication efficiency parameters were researched which is necessary for vegetable oil-sourced lubricant choice. Within the industry standards, this study aims to found the most appropriate vegetable-sourced lubricant base on diverse characteristics present. A table of characteristics is evaluated. Finally, the criterion weighting methodology implemented to the emerging scheme. The implementation of the results from this study provides an opinion of how the criterion weighting modeling can be applied in vegetable oil-sourced lubricants

A Simulation supported chimney design application for greener buildings

Exhaust gases emitted by heat sources must be discharged into the atmosphere in the most dependable manner possible without endangering human health. This is possible because the chimneys are connected to the heat source. There are some guidelines for locating chimneys in relation to existing structures, determining the minimum height, and calculating the chimney section. The performance of the heat source is also directly affected by the correct sizing of the chimneys. The large diameter of the chimney at a fixed height causes hot air inside the heat source to be thrown into the atmosphere more than necessary, resulting in incomplete combustion formation and additional cost. A small chimney diameter affects the device\u27s combustion performance and causes efficiency loss. The ideal chimney diameter should be chosen with the existing conditions in mind. There are numerous calculation programs available for checking chimney diameter on a computer. In this study, the performances of chimney building materials and chimney type alternatives that can be used for the most environmental chimney design in a planned building in Malatya province of Turkey were investigated. Boilers for the building are designed as solid fuel (coal). The calculations have been expanded so that the boiler capacities are between 100.000 kcal/h and 250.000 kcal/h, taking into account the variability of the usable energy amounts in the planned building. The analysis was carried out for comparison using the Kesa-aladin calculation program, which was accepted by Europ

A Datamining Based Decision Support System For Fruit Manufacturing

Agricultural activities provide one of the main sources of living in many regions of the world. Such products play significant roles for the survival of living organisms. Farmers all around the world work towards reaching their economic goals through agricultural activities. By doing this, they invest both their capital and time. In some occasions, such investments end up with serious losses and planted products either grow in low levels or do not grow at all. In this study, in order to avoid such situations and guide the investors intelligently, a decision support system based on decision tree is developed. Related parameters in accordance with the climatic and geographic characteristics of the region are determined within this proposed system. Then, appropriate types of fruits are proposed to the users as the outcome of the system based on these parameters. By doing this, producing more efficient and profitable products is aimed

A NEW INTEGRATED GREY MCDM MODEL: CASE OF WAREHOUSE LOCATION SELECTION

Warehouses link suppliers and customers throughout the entire supply chain. The location of the warehouse has a significant impact on the logistics process. Even though all other warehouse activities are successful, if the product dispatched from the warehouse fails to meet the customer needs in time, the company may face with the risk of losing customers. This affects the performance of the whole supply chain therefore the choice of warehouse location is an important decision problem. This problem is a multi-criteria decision-making (MCDM) problem since it involves many criteria and alternatives in the selection process. This study proposes an integrated grey MCDM model including grey preference selection index (GPSI) and grey proximity indexed value (GPIV) to determine the most appropriate warehouse location for a supermarket. This study aims to make three contributions to the literature. PSI and PIV methods combined with grey theory will be introduced for the first time in the literature. In addition, GPSI and GPIV methods will be combined and used to select the best warehouse location. In this study, the performances of five warehouse location alternatives were assessed with twelve criteria. Location 4 is found as the best alternative in GPIV. The GPIV results were compared with other grey MCDM methods, and it was found that GPIV method is reliable. It has been determined from the sensitivity analysis that the change in criteria weights causes a change in the ranking of the locations therefore GPIV method was found to be sensitive to the change in criteria weights

MCDM model for critical selection of building and insulation materials for optimising energy usage and environmental effect in production focus

In the context of sustainable buildings, an ecological study of building and insulating materials is critical since it may assist affirm or shift the path of new technology development. Utilising sustainable material is a part of the sustainable improvement. For this reason, material fabrication is the primary process for the energy usage and release of intense environmental gaseous. The fabrication of the insulation and building materials, as in every fabrication process, comprises an energy consumption of crude materials in addition to the pollutants’ release. In buildings, insulation is a relevant technological resolution for cutting energy usage. This study aims to assess the primary energy consumption and the environmental effects of the fabrication of building and thermal isolation materials by using a new hybrid MCDM model. The proposed new hybrid MCDM model includes Fuzzy FUCOM, CCSD and CRADIS methods. While the subjective weights of the criteria were determined with the fuzzy FUCOM method, the objective weights of the criteria were determined with the CCSD method. Construction materials were listed with the CRADIS method. According to the fuzzy FUCOM method, the most important criterion was determined as the CR3 criterion, while the most important criterion according to the CCSD method was determined as the CR1 criterion. According to the combined weights, the most important criterion was determined as the CR3 criterion. According to the CRADIS method, the material with the best performance was determined as Cement Plaster. The methodology used in this study is a novel approach therefore it has not been used in any study before. In addition, since the CRADIS method is a newly developed MCDM method, the number of articles related to this method is low. Therefore, this research gap will be filled with this study