Pub Date : 2019-07-01DOI: 10.25728/ASSA.2019.19.2.708
N. Pilnik, Igor Pospelov, Stanislav Radionov
A new approach to the transformation of solutions of optimal control problems based on the special form of relaxation of complementary slackness conditions is presented. The proposed approach is tested on the Russian banking system model, which is derived as a solution of a linear nonautonomous optimization problem with mixed constraints. It is shown that the use of this method regularizes the model in a sense it becomes applicable for the forecasting of the main Russian banking indicators.
{"title":"The Relaxation of Complementary Slackness Conditions as a Regularization Method for Optimal Control Problems","authors":"N. Pilnik, Igor Pospelov, Stanislav Radionov","doi":"10.25728/ASSA.2019.19.2.708","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.2.708","url":null,"abstract":"A new approach to the transformation of solutions of optimal control problems based on the special form of relaxation of complementary slackness conditions is presented. The proposed approach is tested on the Russian banking system model, which is derived as a solution of a linear nonautonomous optimization problem with mixed constraints. It is shown that the use of this method regularizes the model in a sense it becomes applicable for the forecasting of the main Russian banking indicators.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"44-62"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44701089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.25728/ASSA.2019.19.2.758
V. Ivanov, V. K. Zawadzkii, E. B. Kablova, L. G. Klenovaya
The principles of the evolutionary process of creating complex technical systems are formulated. The possibility of using the technology of stage-by-stage manufacturing of each specific sample of the system is considered. In the process of stage-by-stage manufacturing, the system improves its properties and characteristics, moving from relatively simple versions to more complex and effective versions. Based on the results of the control, the system adapts to the real operating conditions.
{"title":"Technology of Quality and Reliability of Complex Technical Systems Characteristics Stage-by-stage Improvement on Examples of Rocket-Space Technology Objects","authors":"V. Ivanov, V. K. Zawadzkii, E. B. Kablova, L. G. Klenovaya","doi":"10.25728/ASSA.2019.19.2.758","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.2.758","url":null,"abstract":"The principles of the evolutionary process of creating complex technical systems are formulated. The possibility of using the technology of stage-by-stage manufacturing of each specific sample of the system is considered. In the process of stage-by-stage manufacturing, the system improves its properties and characteristics, moving from relatively simple versions to more complex and effective versions. Based on the results of the control, the system adapts to the real operating conditions.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42085755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.25728/ASSA.2019.19.2.727
Georgy Veresnikov, L. Pankova, V. Pronina
The article proposes the models of optimization with constraints under conditions of parametric mixed uncertainty ‒ aleatory and epistemic. We model parameters with aleatory uncertainty by random values with probability distribution functions obtained from statistical data. We model parameters with epistemic uncertainty by uncertain values introduced in the uncertainty theory of Liu B. Experts define the uncertainty distribution functions. We model a function of random and uncertain parameters by uncertain-random value, interpreted as epistemic value parameterized by random values. Optimization criteria (deterministic duplicates of objective functions) are combination of different characteristics of random and uncertain values, which allows both to average objective functions and to take into account risks or reliability arising from the variability of random and uncertain values. Using the proposed models of uncertain-random programming, we formalized as a two-criterion optimization problem with constraints and solved the task of preliminary aerodynamic design in the conditions of parametric mixed uncertainty ‒ calculation of aircraft weight parameters. The uncertainty theory makes possible under certain conditions (for sufficiently wide class of functions) to obtain analytical expressions for characteristics of uncertain functions, that significantly reduces computational costs. To calculate weight parameters of aircraft, we use multicriteria genetic algorithm and statistical modeling. We investigate the dependence of the optimization result on the given probability levels for random values and the expert belief degree for epistemic values reflecting the reliability of the obtained solution. As result of applying the proposed models for calculating the weight parameters of the aircraft, we obtained the Pareto fronts shown in the figures.
{"title":"Models Of Uncertain-Random Programming","authors":"Georgy Veresnikov, L. Pankova, V. Pronina","doi":"10.25728/ASSA.2019.19.2.727","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.2.727","url":null,"abstract":"The article proposes the models of optimization with constraints under conditions of parametric mixed uncertainty ‒ aleatory and epistemic. We model parameters with aleatory uncertainty by random values with probability distribution functions obtained from statistical data. We model parameters with epistemic uncertainty by uncertain values introduced in the uncertainty theory of Liu B. Experts define the uncertainty distribution functions. We model a function of random and uncertain parameters by uncertain-random value, interpreted as epistemic value parameterized by random values. Optimization criteria (deterministic duplicates of objective functions) are combination of different characteristics of random and uncertain values, which allows both to average objective functions and to take into account risks or reliability arising from the variability of random and uncertain values. Using the proposed models of uncertain-random programming, we formalized as a two-criterion optimization problem with constraints and solved the task of preliminary aerodynamic design in the conditions of parametric mixed uncertainty ‒ calculation of aircraft weight parameters. The uncertainty theory makes possible under certain conditions (for sufficiently wide class of functions) to obtain analytical expressions for characteristics of uncertain functions, that significantly reduces computational costs. To calculate weight parameters of aircraft, we use multicriteria genetic algorithm and statistical modeling. We investigate the dependence of the optimization result on the given probability levels for random values and the expert belief degree for epistemic values reflecting the reliability of the obtained solution. As result of applying the proposed models for calculating the weight parameters of the aircraft, we obtained the Pareto fronts shown in the figures.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"8-22"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44248753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.25728/ASSA.2019.19.2.725
M. Hushchyn, A. Sapronov, A. Ustyuzhanin
Data storage reliability and availability play important role for a wide range of services and business processes. Manufacturers provide data storage systems that resistant to hardware and software failures but not for all cases. Well-timed detection of these failures help to recover the system faster and prevent the failures before they occur. In this work a range of machine learning and time series analysis algorithms for failures detection is considered. The algorithms are applied and compared on the real data storage system. Preliminary results show that binary classification methods demonstrate high failure detection and low false alarm rates. Time series prediction based approach shows similar results and outperforms one-class classification methods.
{"title":"Machine Learning Algorithms for Automatic Anomalies Detection in Data Storage Systems Operation","authors":"M. Hushchyn, A. Sapronov, A. Ustyuzhanin","doi":"10.25728/ASSA.2019.19.2.725","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.2.725","url":null,"abstract":"Data storage reliability and availability play important role for a wide range of services and business processes. Manufacturers provide data storage systems that resistant to hardware and software failures but not for all cases. Well-timed detection of these failures help to recover the system faster and prevent the failures before they occur. In this work a range of machine learning and time series analysis algorithms for failures detection is considered. The algorithms are applied and compared on the real data storage system. Preliminary results show that binary classification methods demonstrate high failure detection and low false alarm rates. Time series prediction based approach shows similar results and outperforms one-class classification methods.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"23-32"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41904459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.25728/ASSA.2019.19.2.709
A. Khorshev, I. Erokhina, F. Veselov
This article considers conditions and scenarios of transformation of the traditional structure of generating capacity in the Russian electric power system in the next 10-15 years considering the mass decommissioning of operating thermal power plants (TPPs) and active development of low-carbon distributed generation (DG) technologies. For this purpose, the ultimate development potential of Russia's key distributed cogeneration technology was assessed, taking into account the forecast of capacity balance situation in the national electric power system. In addition to it, the possible scales of the involvement of renewable power (RES) plants, as well as the potential impact of consumer’s demand response (DR) programs to replace large-scale generating facilities are considered.
{"title":"Potential scales of structural transformation of the Russian electric power system based on low-carbon distributed generation","authors":"A. Khorshev, I. Erokhina, F. Veselov","doi":"10.25728/ASSA.2019.19.2.709","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.2.709","url":null,"abstract":"This article considers conditions and scenarios of transformation of the traditional structure of generating capacity in the Russian electric power system in the next 10-15 years considering the mass decommissioning of operating thermal power plants (TPPs) and active development of low-carbon distributed generation (DG) technologies. For this purpose, the ultimate development potential of Russia's key distributed cogeneration technology was assessed, taking into account the forecast of capacity balance situation in the national electric power system. In addition to it, the possible scales of the involvement of renewable power (RES) plants, as well as the potential impact of consumer’s demand response (DR) programs to replace large-scale generating facilities are considered.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"33-43"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43170466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-15DOI: 10.25728/ASSA.2019.19.1.632
A. Brouri, Tarik Rabyi, A. Ouannou
In this work, an identification approach of nonlinear systems is studied. Presently, the nonlinear system can be described by Wiener-Hammerstein model. This latter is composed of a nonlinearity surrounded by two linear blocks. The linear blocks can be nonparametric. The nonlinear element is allowed to be discontinuous, specifically it can be of hard element (e.g. Preload, Coulomb friction, Dead-zone). Roughly, it is very difficult to model these types of nonlinearities by orthogonal decompositions (e.g. polynomial).
{"title":"Identification of nonlinear systems having hard function","authors":"A. Brouri, Tarik Rabyi, A. Ouannou","doi":"10.25728/ASSA.2019.19.1.632","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.1.632","url":null,"abstract":"In this work, an identification approach of nonlinear systems is studied. Presently, the nonlinear system can be described by Wiener-Hammerstein model. This latter is composed of a nonlinearity surrounded by two linear blocks. The linear blocks can be nonparametric. The nonlinear element is allowed to be discontinuous, specifically it can be of hard element (e.g. Preload, Coulomb friction, Dead-zone). Roughly, it is very difficult to model these types of nonlinearities by orthogonal decompositions (e.g. polynomial).","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"61-74"},"PeriodicalIF":0.0,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42947578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-15DOI: 10.25728/ASSA.2019.19.1.649
V. Chernova, I. Andronova, E. Degtereva, A. Zobov, V. Starostin
This article is concerned with the study of the factors, underlying the decision of Russian companies to relocate production units to foreign countries and form global value-added chains (GVACs). It is proposed by the authors to consider the emergence of economic interests in relocation from the standpoint of synthesis of the concept of integration based on the natural advantages and the concept of GVAC. A high potential for the development of cooperation by Russian companies is noted herein, in particular, in the agro-industrial complex, and at the same time, there is a limited interest of Russian business in the integration processes in the EAEU format. The factors that hinder the expansion of Russian business to the partner countries in the EAEU, as well as the risks of deepening the cooperation ties, are singled out.
{"title":"Activity of Russian Companies in Regional Industrial Value-Added Chains","authors":"V. Chernova, I. Andronova, E. Degtereva, A. Zobov, V. Starostin","doi":"10.25728/ASSA.2019.19.1.649","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.1.649","url":null,"abstract":"This article is concerned with the study of the factors, underlying the decision of Russian companies to relocate production units to foreign countries and form global value-added chains (GVACs). It is proposed by the authors to consider the emergence of economic interests in relocation from the standpoint of synthesis of the concept of integration based on the natural advantages and the concept of GVAC. A high potential for the development of cooperation by Russian companies is noted herein, in particular, in the agro-industrial complex, and at the same time, there is a limited interest of Russian business in the integration processes in the EAEU format. The factors that hinder the expansion of Russian business to the partner countries in the EAEU, as well as the risks of deepening the cooperation ties, are singled out.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"31-43"},"PeriodicalIF":0.0,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43541510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-15DOI: 10.25728/ASSA.2019.19.1.558
A. Samartsev, V. Ivaschenko, A. Rezchikov, V. Kushnikov, L. Filimonyuk, A. Bogomolov
The multi-agent model of emergency evacuation process in case of limited space conditions is offered. A distinctive feature of the proposed model is the systematic consideration of physical interactions between agents and their reasonable behavior in conditions of evacuation from premises of a complex configuration. The model allows to investigate the state and behavior of people in emergency and determine the time of their evacuation. The proposed model can be used as a basis for determining ways and developing plans for evacuation from premises in emergency situations.
{"title":"Multiagent Model of People Evacuation from Premises while Emergency","authors":"A. Samartsev, V. Ivaschenko, A. Rezchikov, V. Kushnikov, L. Filimonyuk, A. Bogomolov","doi":"10.25728/ASSA.2019.19.1.558","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.1.558","url":null,"abstract":"The multi-agent model of emergency evacuation process in case of limited space conditions is offered. A distinctive feature of the proposed model is the systematic consideration of physical interactions between agents and their reasonable behavior in conditions of evacuation from premises of a complex configuration. The model allows to investigate the state and behavior of people in emergency and determine the time of their evacuation. The proposed model can be used as a basis for determining ways and developing plans for evacuation from premises in emergency situations.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"98-115"},"PeriodicalIF":0.0,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42962549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-15DOI: 10.25728/ASSA.2019.19.1.613
Harjit Singh Mangat, Harpuneet Singh
The purpose of this research was to measure the opinion of textile industries of Punjab (India) towards the reliability of their connected power systems of the sole public utility company - Punjab State Power Corporation Limited considering the period from 2010 to 2014. Out of the 400 randomly selected, 148 registered textile industrial units from Central, North and South Punjab, respectively, were responded successfully by conducting the interviews using a questionnaire schedule and dropping questionnaires with the responders, over a period of two years from April 2015-April 2017 which revealed that majority of the industries from the whole Punjab was discontented towards the occurrence of planned outages, unplanned outages and load shedding, work efficiency of staff, condition of infrastructure and tariff structure except the limited number of units from Central Punjab that have shown agreement towards the different aspects of power system reliability. An internal consistency and intra-rater reliability using Cronbach’s alpha and Krippendorff’s Alpha, respectively, calculated, was found very decent. A Kruskal Wallis test was applied and mean rank of Central Punjab was found considerably higher followed by South and North Punjab for the majority of the variables. Dunn’s Bonferroni Post Hoc exposed that a Central Punjab is significantly different from both North and South Punjab but no statistical difference was found between the North and South Punjab. A Kruskal Wallis test statistic (H) and Mann Whitney test statistics (U) was used to calculate the overall effect sizes and the effect sizes between the groups for all the dependent variables, respectively. Out of the forty variables, thirty-three has shown the statistically significant difference from which twenty-eight, three and five were found in the zone of large, intermediate and small effect size, respectively.
本研究的目的是衡量旁遮普（印度）纺织业对其唯一公用事业公司旁遮普国家电力有限公司连接电力系统可靠性的看法，考虑2010年至2014年期间。在随机选择的400家中，分别来自旁遮普省中部、北部和南部的148家注册纺织工业单位通过使用问卷表进行访谈并对受访者进行问卷调查，获得了成功的答复，从2015年4月到2017年4月的两年时间里，这表明整个旁遮普邦的大多数行业对计划内停电、计划外停电和甩负荷的发生、员工的工作效率、，基础设施状况和电价结构，但旁遮普中部有限数量的机组除外，这些机组在电力系统可靠性的不同方面表现出了一致性。分别使用Cronbach’s alpha和Krippendorff’s alpha计算的内部一致性和评分者内部可靠性被发现非常不错。应用Kruskal-Wallis检验，发现旁遮普省中部的平均等级高得多，其次是旁遮普省南部和北部的大多数变量。Dunn的Bonferroni Post Hoc揭露了旁遮普中部与旁遮普北部和南部有显著差异，但在旁遮普北部和南部之间没有发现统计差异。Kruskal-Wallis检验统计量（H）和Mann-Whitney检验统计量（U）分别用于计算所有因变量的总体效应大小和组间效应大小。在40个变量中，33个变量显示出统计学上的显著差异，其中28个、3个和5个变量分别出现在大、中、小效应区。
{"title":"Measuring the Opinion of Textile Industries of Punjab (India) towards the Reliability of their Connected Power Systems and its Effects on the Industrial Operations","authors":"Harjit Singh Mangat, Harpuneet Singh","doi":"10.25728/ASSA.2019.19.1.613","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.1.613","url":null,"abstract":"The purpose of this research was to measure the opinion of textile industries of Punjab (India) towards the reliability of their connected power systems of the sole public utility company - Punjab State Power Corporation Limited considering the period from 2010 to 2014. Out of the 400 randomly selected, 148 registered textile industrial units from Central, North and South Punjab, respectively, were responded successfully by conducting the interviews using a questionnaire schedule and dropping questionnaires with the responders, over a period of two years from April 2015-April 2017 which revealed that majority of the industries from the whole Punjab was discontented towards the occurrence of planned outages, unplanned outages and load shedding, work efficiency of staff, condition of infrastructure and tariff structure except the limited number of units from Central Punjab that have shown agreement towards the different aspects of power system reliability. An internal consistency and intra-rater reliability using Cronbach’s alpha and Krippendorff’s Alpha, respectively, calculated, was found very decent. A Kruskal Wallis test was applied and mean rank of Central Punjab was found considerably higher followed by South and North Punjab for the majority of the variables. Dunn’s Bonferroni Post Hoc exposed that a Central Punjab is significantly different from both North and South Punjab but no statistical difference was found between the North and South Punjab. A Kruskal Wallis test statistic (H) and Mann Whitney test statistics (U) was used to calculate the overall effect sizes and the effect sizes between the groups for all the dependent variables, respectively. Out of the forty variables, thirty-three has shown the statistically significant difference from which twenty-eight, three and five were found in the zone of large, intermediate and small effect size, respectively.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"75-97"},"PeriodicalIF":0.0,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43941369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-15DOI: 10.25728/ASSA.2019.19.1.651
S. Ratner, A. Lychev
This study contributes to the literature by proposing a new method of complex evaluation of multiple life cycle environmental impacts of different PV technologies based on the Data Envelopment Analysis (DEA). The main advantage of DEA as a non-parametric technique is that it does not require prior knowledge of underlying production functions. An empirical production technology frontier is estimated based on best-practice boundary of the input-output relationship. DEA evaluates comparative or relative efficiency, which means the measurement with reference to some set of units we are comparing with each other. The proposed approach allows to aggregate disparate quantitative estimates of individual negative environmental effects from the literature and special databases in a transparent and easily understandable index or coefficient of ecology efficiency. The evaluation of environmental effects is performed on data from the EcoInvent Database. The results of this study clearly show that from an environmental point of view it is more practical to prefer technologies, which are less resource and energy intensive in manufacturing and upstream activities. As of right now, this requirement is met by thin-film technologies (amorphous silicon, cadmium telluride, and copper-indium-diselenide); however, their ecologic efficiency evaluation may change as we obtain more data on the final stages of the lifecycle for PV modules of various types. Based on results of this study a number of opportunities for improving existing government incentives and rationalizing the design of state programs under elaboration can be identified.
{"title":"Evaluating environmental impacts of photovoltaic technologies using Data Envelopment Analysis","authors":"S. Ratner, A. Lychev","doi":"10.25728/ASSA.2019.19.1.651","DOIUrl":"https://doi.org/10.25728/ASSA.2019.19.1.651","url":null,"abstract":"This study contributes to the literature by proposing a new method of complex evaluation of multiple life cycle environmental impacts of different PV technologies based on the Data Envelopment Analysis (DEA). The main advantage of DEA as a non-parametric technique is that it does not require prior knowledge of underlying production functions. An empirical production technology frontier is estimated based on best-practice boundary of the input-output relationship. DEA evaluates comparative or relative efficiency, which means the measurement with reference to some set of units we are comparing with each other. The proposed approach allows to aggregate disparate quantitative estimates of individual negative environmental effects from the literature and special databases in a transparent and easily understandable index or coefficient of ecology efficiency. The evaluation of environmental effects is performed on data from the EcoInvent Database. The results of this study clearly show that from an environmental point of view it is more practical to prefer technologies, which are less resource and energy intensive in manufacturing and upstream activities. As of right now, this requirement is met by thin-film technologies (amorphous silicon, cadmium telluride, and copper-indium-diselenide); however, their ecologic efficiency evaluation may change as we obtain more data on the final stages of the lifecycle for PV modules of various types. Based on results of this study a number of opportunities for improving existing government incentives and rationalizing the design of state programs under elaboration can be identified.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"19 1","pages":"12-30"},"PeriodicalIF":0.0,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43179483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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