scholarly journals Assessment of the Effective Variants Leading to Higher Efficiency for the Geothermal Doublet, Using Numerical Analysis‒Case Study from Poland (Szczecin Trough)

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2174 ◽  
Author(s):  
Anna Wachowicz-Pyzik ◽  
Anna Sowiżdżał ◽  
Leszek Pająk ◽  
Paweł Ziółkowski ◽  
Janusz Badur
Keyword(s):  
Numerical Models ◽  
Production Well ◽  
Geothermal Heating ◽  
Last Stage ◽  
The Finite Difference Method ◽  
Geothermal Parameters ◽  
Heating Plant ◽  
Selection Of

Numerical models of geothermal doublet allows us to reduce the high risk associated with the selection of the most effective location of a production well. Furthermore, modeling is a suitable tool to verify possible changes in operational geothermal parameters, which guarantees liveliness of the system. An appropriate selection of software as well as the methodology used to generate numerical models significantly affects the quality of the obtained results. In this paper, the authors discuss the influence of such parameters as grid density and distance between wells on the efficiency of geothermal heating plant. The last stage of the analysis was connected with estimation of geothermal power potential for a hypothetical geothermal doublet. Numerical simulations were carried out using the TOUGH2 code, which applies the finite-difference method. The research was conducted in the Szczecin Trough area (NW Poland), based on archival data from Choszczno IG-1 well. The results demonstrated that in the studied case of the Choszczno region, the changes in the distance of boreholes can have a visible influence on obtained results; however the grid density of the numerical model did not achieve a significant impact on it. The results show the significant importance of numerical modeling aimed at increasing the efficiency of a potential geothermal heating plant.

scholarly journals Decision Support System in Choosing The Quality of Charcoal Briquettes from Coconut Shell to Improve The Quality and Maximised by The Method of Analytical Hierarchy Process (the case study in Padang pariaman)

2020 ◽  
Vol 10 (2) ◽  
pp. 199-205
Author(s):  
Ilham Siregar ◽  
Wahyuni Yahyan ◽  
Danyl Mallisza
Keyword(s):  
Coconut Shell ◽  
Plant Oil ◽  
Coconut Charcoal ◽  
Alternate Choice ◽  
West Sumatra ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of

The regency of Padang Pariaman is one of the centres of the plantation to the plant oil in the region of West Sumatra. Many find various types of plant oil that spread in every area. Decision-Making system (DSS) should be able to understand the problems that exist that are the basis for the decision (the decision Maker) to determine the priority of the selection and determine the type of charcoal coconut charcoal quality to be used as briquettes. This study obtained the top Level (Goal) is the selection of Charcoal Material priorities approved as the purpose of this study. The Level of the heart (the Criterion) in the hierarchy that shows the criteria that the Color of the Skin, Coconut Fiber, Coconut Shell, water Content, Coconut Meat. The lowest Level (Alternatives) in the hierarchy that shows the alternate choice of the Type of Coconut, which is helpful as briquettes, that Old Coconut, Coconut Koreang, Coconut Mudang, Young Coconut. Of the highest rank possessed by the alternatives is the type of Old Coconuts (0.600) and second by the kind of Coconut Koreang 2 (0.242), the Type of Coconut 3 Coconut Mudang (0.113) and ranking low is a Young Coconut (0.046) as a material consideration in the manufacture of charcoal quality then in the analysis, the priority is the “Old Palm”   Keywords: Coconut, Briquettes, Shell, DSS, AHP

scholarly journals Selection of catchment descriptors for the physical similarity approach. Part II: Application

2013 ◽  
Vol 8 (No. 4) ◽  
pp. 186-194
Author(s):  
M. Heřmanovský ◽  
P. Pech
Keyword(s):  
Land Cover ◽  
A Priori ◽  
Model Parameters ◽  
Physical Similarity ◽  
Model Parameter ◽  
Soil Moisture Accounting ◽  
Estimated Parameters ◽  
Selection Of

This paper demonstrates an application of the previously published method for selection of optimal catchment descriptors, according to which similar catchments can be identified for the purpose of estimation of the Sacramento – Soil Moisture Accounting (SAC-SMA) model parameters for a set of tested catchments, based on the physical similarity approach. For the purpose of the analysis, the following data from the Model Parameter Estimation Experiment (MOPEX) project were taken: a priori model parameter sets used as reference values for comparison with the newly estimated parameters, and catchment descriptors of four categories (climatic descriptors, soil properties, land cover and catchment morphology). The inverse clustering method, with Andrews’ curves for a homogeneity check, was used for the catchment grouping process. The optimal catchment descriptors were selected on the basis of two criteria, one comparing different subsets of catchment descriptors of the same size (MIN), the other one evaluating the improvement after addition of another catchment descriptor (MAX). The results suggest that the proposed method and the two criteria used may lead to the selection of a subset of conditionally optimal catchment descriptors from a broader set of them. As expected, the quality of the resulting subset of optimal catchment descriptors is mainly dependent on the number and type of the descriptors in the broader set. In the presented case study, six to seven catchment descriptors (two climatic, two soil and at least two land-cover descriptors) were identified as optimal for regionalisation of the SAC-SMA model parameters for a set of MOPEX catchments.

scholarly journals Strategies for the Development of Smart Cities: The Case of Kalampaka-Greece

2018 ◽  
Vol 5 (1) ◽  
pp. 70
Author(s):  
Christos Stamopoulos ◽  
Eleni Theodoropoulou
Keyword(s):  
Quality Of Life ◽  
Environmental Sustainability ◽  
Smart Cities ◽  
Determining Factors ◽  
Construction Strategies ◽  
The City ◽  
Simple Selection ◽  
Selection Of

The present paper investigates the characteristics and best construction strategies of smart cities around the world, as well as the determining factors of the satisfaction of the quality of life and the importance of the value of environmental sustainability. A case study of the city of Kalampaka and its residents was examined. The survey was conducted between July 2016 and August 2016. The selection of the sample was done by using the method of simple selection and includes a random sample of N=150 individuals. Statistical analysis showed that resident’s knowledge about smart cities was fairly good (48% of sample knew the phrase “smart cities”). Furthermore, they believe that the appearance of the city of Kalampaka needs improvement (75% of sample is disappointed with the current appearance of the city). Regression analysis showed that the value of environmental sustainability is greatly influenced by the energy saving, as well as, innovation has an impact on the level of quality of life. Older people seem to be satisfied with administration’s efforts.

scholarly journals Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method

2019 ◽  
Vol 16 (23) ◽  
pp. 4843 ◽  
Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Ruxue Ren ◽  
Chunguang Bai ◽  
Edmundas Kazimieras Zavadskas ◽  
...  
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Cold Chain ◽  
Solution Methods ◽  
Criteria Weights ◽  
Ranking Of Alternatives ◽  
And Storage ◽  
Selection Of

Medicine is the main means to reduce cancer mortality. However, some medicines face various risks during transportation and storage due to the particularity of medicines, which must be kept at a low temperature to ensure their quality. In this regard, it is of great significance to evaluate and select drug cold chain logistics suppliers from different perspectives to ensure the quality of medicines and reduce the risks of transportation and storage. To solve such a multiple criteria decision-making (MCDM) problem, this paper proposes an integrated model based on the combination of the SWARA (stepwise weight assessment ratio analysis) and CoCoSo (combined compromise solution) methods under the probabilistic linguistic environment. An adjustment coefficient is introduced to the SWARA method to derive criteria weights, and an improved CoCoSo method is proposed to determine the ranking of alternatives. The two methods are extended to the probabilistic linguistic environment to enhance the applicability of the two methods. A case study on the selection of drug cold chain logistics suppliers is presented to demonstrate the applicability of the proposed integrated MCDM model. The advantages of the proposed methods are highlighted through comparative analyses.

Human resources ranking in a cloud-based knowledge sharing framework using the quality control criteria

Kybernetes ◽  
2017 ◽  
Vol 46 (5) ◽  
pp. 876-892 ◽  
Author(s):  
Parisa Fouladi ◽  
Nima Jafari Navimipour
Keyword(s):  
Quality Control ◽  
Human Resources ◽  
Hierarchical Structure ◽  
Simple Method ◽  
Content Type ◽  
Quality Control Criteria ◽  
Control Criteria ◽  
Selection Of

Purpose This paper aims to propose a new method for evaluating the quality and prioritizing of the human resources (HRs) based on trust, reputation, agility, expertise and cost criteria in the expert cloud. To evaluate some quality control (QC) factors, a model based on the SERVQUAL is used. Design/methodology/approach The aim of this paper is to offer a fast and simple method for selecting the HRs by the customers. To achieve this goal, the ranking diagram of different HRs based on the different criteria of QC is provided. By means of this method, the customer can rapidly decide on the selection of the required HRs. By using the proposed method, the scores for various criteria are evaluated. These criteria are used in the ranking of each HR which is obtained based on the evaluation conducted by previous customers and their colleagues. First, customers were asked to select their needed criteria and then by constructing a hierarchical structure, the ranking diagram of different HRs is achieved. Using a ranking system based on evaluating the quality of the model, satisfy the customer needs to be based on the properties of HRs. Also, an analytical hierarchical process-based ranking mechanism is proposed to solve the problem of assigning weights to features for considering the interdependence between them to rank the HRs in the expert cloud. Findings The obtained results showed the applicability of the radar graph using a case study and also numerically obtained results showed that a hierarchical structure increases the quality and speed rating of HR ranking than the previous works. Originality/value The suggested ranking method in this paper allows the optimal selection due to the special needs of any given customer in the expert cloud.

Shifting students’ to experts’ complex systems knowledge

2003 ◽  
Vol 4 (2) ◽  
pp. 151-168 ◽  
Author(s):  
Ralf Hansmann ◽  
Harald A. Mieg ◽  
Helmut W. Crott ◽  
Roland W. Scholz
Keyword(s):  
Environmental Planning ◽  
Group Discussion ◽  
Scientific Models ◽  
Environmental Sciences ◽  
Group Discussions ◽  
Before And After ◽  
Expert Support ◽  
Selection Of

This paper includes three analyses concerning: expert support in the selection of impact variables for scientific models relevant to environmental planning, the quality of students’ individual estimates of corresponding impacts before and after a group discussion, and the accuracy of artificially‐aggregated judgments of independent groups. Participants were students of environmental sciences at ETH Zurich. The first analysis revealed that during participation in an environmental case study, students’ individual estimates of impacts of variables which have been suggested by experts increased, as compared to the estimates of impacts of additional variables, which have been selected by the students. The remaining analyses consider group discussions on the strength of particular environmental impacts. The quality of the estimates was analyzed referring to expert estimates of the impacts.

scholarly journals A Path Model “Why-What-How-When” to Implement an IC Reporting

2017 ◽  
Vol 12 (6) ◽  
pp. 11
Author(s):  
Paola Demartini ◽  
Paola Paoloni
Keyword(s):  
Information Quality ◽  
Success Factors ◽  
Path Model ◽  
Informational Needs ◽  
Specific Context ◽  
Accurate Identification ◽  
Critical Success ◽  
Selection Of

The purpose of this paper is to present the results of an empirical study and the critical success factors for implementing Intellectual Capital (IC) reporting. Selecting an IC model to be implemented in a specific context at a particular time depends on several contingent factors. In light of this, we propose the following “why-what-how-when” agenda, which will be applied in the case study:1.      Why implement IC reporting in a specific context?2.      What IC approach/tool is suitable to satisfy users’ informational needs?3.      How is the quality of information? 4.      When is information available?The research is qualitative and focused on a case study in order to understand the dynamics of a given process. The company analyzed designs and develops Large Systems for Homeland Protection.The analyzed case study shows that there isn’t “one best way” to report on intangibles. Thus, the main critical factors of the process investigated are the following: accurate identification of actors involved in the decision-making process; quality and availability of information.The case study allows us to analyze how changes in decision maker(s), users’ informational needs and information quality can impact the selection of the framework and its relative artifact/tool to be used to report on intangibles.

scholarly journals Optimizing Seismic Capacity of Existing Masonry Buildings by Retrofitting Timber Floors: Wood-Based Solutions as a Dissipative Alternative to Rigid Concrete Diaphragms

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 604
Author(s):  
Michele Mirra ◽  
Geert Ravenshorst
Keyword(s):  
Seismic Performance ◽  
Numerical Models ◽  
Experimental Tests ◽  
Poor Quality ◽  
Seismic Retrofitting ◽  
Concrete Slabs ◽  
Masonry Buildings ◽  
Seismic Capacity

The inadequate seismic performance of existing masonry buildings is often linked to the excessively low in-plane stiffness of timber diaphragms and the poor quality of their connections to the walls. However, relevant past studies and seismic events have also shown that rigid diaphragms could be detrimental for existing buildings and do not necessarily lead to an increase in their seismic performance. Therefore, this work explores the opportunity of optimizing the retrofitting of existing timber floors by means of a dissipative strengthening option, consisting of a plywood panel overlay. On the basis of past experimental tests and previously formulated analytical and numerical models for simulating the in-plane response of these retrofitted diaphragms, in this work nonlinear incremental dynamic analyses were performed on three case–study buildings. For each structure three configurations were analyzed: an as-built one, one having floors retrofitted with concrete slabs and one having dissipative diaphragms strengthened with plywood panels. The results showed that the additional beneficial hysteretic energy dissipation of the optimized diaphragms is relevant and can largely increase the seismic performance of the analyzed buildings, while rigid floors only localize the dissipation in the walls. These outcomes can contribute to an efficient seismic retrofitting of existing masonry buildings, demonstrating once more the great potential of wood-based techniques in comparison to the use of reinforced concrete for creating rigid diaphragms.

scholarly journals A NEW HYBRID FUZZY PSI-PIPRECIA-COCOSO MCDM BASED APPROACH TO SOLVING THE TRANSPORTATION COMPANY SELECTION PROBLEM

2021 ◽  
Vol 0 (0) ◽  
pp. 1-23
Author(s):  
Alptekin Ulutaş ◽  
Gabrijela Popovic ◽  
Pavle Radanov ◽  
Dragisa Stanujkic ◽  
Darjan Karabasevic
Keyword(s):  
Cost Effective ◽  
Timely Manner ◽  
Geographically Dispersed ◽  
Proposed Model ◽  
Quality Of Products ◽  
Psi Method ◽  
Selection Of ◽  
Transportation Company

Nowadays, customers are not only interested in the quality of products, but they also want to have these products in a timely manner. The managers of an organization are faced with two problems when the distribution of products is in question, namely: (1) customers are usually geographically dispersed and (2) transportation should be performed in a cost-effective way. Although managers may have a significant experience and formal knowledge, decisions connected with the selection of an appropriate transportation company may very often be biased. For the purpose of avoiding making the inadequate decisions that might harm the operation of the organization, the application of a hybrid MCDM model is proposed in this paper. The proposed model consists of three fuzzy MCDM methods, including: the PIPRECIA, the PSI, and the CoCoSo methods. The fuzzy-PIPRECIA method is used to achieve the subjective weights of criteria, whereas the fuzzy-PSI method is used to obtain the objective weights of criteria. Fuzzy-CoCoSo is utilized to rank alternative transportation companies according to their performances. The possibilities of the proposed hybrid model are tested on a real case study pointed at the selection of an appropriate company for the transportation of ready-garments to retailers in Turkey.

Evolution of Admissions and Recruiting

2019 ◽  
pp. 1-17
Author(s):  
Murray Bryant ◽  
Mary Claire Mahaney ◽  
John-Derek Clarke
Keyword(s):  
Business School ◽  
Quality Education ◽  
Publicly Funded ◽  
High Quality ◽  
High Quality Education ◽  
School Rankings ◽  
Admissions Process ◽  
Selection Of

This chapter examines, by means of a case study, a Canadian business school, including the evolution of its way of admitting students and facilitating the placement of graduates. Three forces triggered its evolution: the privatization of its programs within a publicly funded university, the emergence of globalization, and the increasing importance of business school rankings that directly affect applicants' selection of schools. The chapter demonstrates how the admissions process and program design are a work in progress, especially given new competitors internationally. It also shows how the reputation of the school is enhanced by the quality of its alumni. Ideally, to accomplish the school's goal of high quality education, the admissions process should mirror the strategy and positioning of the school.

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