Pub Date : 2022-01-01DOI: 10.2478/rtuect-2022-0049
A. Ołtarzewska, D. Krawczyk
Abstract Heat pumps are increasingly popular in individual buildings and could help to meet expectations of ambitious energy-environmental European goals until 2050. This paper presents the results of energy simulations conducted in TRNSYS for a single-family building depending on its location in selected European cities. For each city, air source heat pump (ASHP) was considered as an energy source for heating and cooling the building, and then an economic analysis was carried out including investment costs of air source heat pump and a comparison of operating costs of ASHP with other alternatives (i.e. gas boiler, oil boiler, or air conditioners). The results of the simulations showed that with the current energy prices the use of air source heat pumps is the most beneficial in temperate warm transitional climate (Krakow). It was also indicated that the implementation of special tariffs (reduced prices) for electricity that supplies renewable energy devices would make heat pumps unmatched as a source of heating and cooling in the residential sector.
{"title":"Analysis of Heat Pumps Efficiency in Selected Locations – A Case Study","authors":"A. Ołtarzewska, D. Krawczyk","doi":"10.2478/rtuect-2022-0049","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0049","url":null,"abstract":"Abstract Heat pumps are increasingly popular in individual buildings and could help to meet expectations of ambitious energy-environmental European goals until 2050. This paper presents the results of energy simulations conducted in TRNSYS for a single-family building depending on its location in selected European cities. For each city, air source heat pump (ASHP) was considered as an energy source for heating and cooling the building, and then an economic analysis was carried out including investment costs of air source heat pump and a comparison of operating costs of ASHP with other alternatives (i.e. gas boiler, oil boiler, or air conditioners). The results of the simulations showed that with the current energy prices the use of air source heat pumps is the most beneficial in temperate warm transitional climate (Krakow). It was also indicated that the implementation of special tariffs (reduced prices) for electricity that supplies renewable energy devices would make heat pumps unmatched as a source of heating and cooling in the residential sector.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"81 1","pages":"648 - 657"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84337592","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0027
H. Pihlap, Alo Allik, S. Muiste
Abstract This article focuses on decreasing the energy taken from the electrical grid by air to water heat pumps in buildings that use renewable energy. Conventionally the majority of the produced renewable energy is not used directly to operate the heat pump. An energy management concept was developed, with a main new parameter – RCOP that enables to create an optimal working schedule that considers the renewable energy availability and heat pump coefficient of performance in relation to the weather. The concept was proven with computer models that use weather forecasts, renewable energy production, and heat demand. The achieved yearly savings in grid-electricity used by the heat pump were 14.3 %. The fluctuations in the grid load were decreased which as well were quantified by a lower standard deviation of the demand. In months with the best renewable energy availability, the grid electricity savings can reach up to 70 %.
{"title":"Decreasing the Load of Air to Water Heat Pump Systems on Electrical Grids","authors":"H. Pihlap, Alo Allik, S. Muiste","doi":"10.2478/rtuect-2022-0027","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0027","url":null,"abstract":"Abstract This article focuses on decreasing the energy taken from the electrical grid by air to water heat pumps in buildings that use renewable energy. Conventionally the majority of the produced renewable energy is not used directly to operate the heat pump. An energy management concept was developed, with a main new parameter – RCOP that enables to create an optimal working schedule that considers the renewable energy availability and heat pump coefficient of performance in relation to the weather. The concept was proven with computer models that use weather forecasts, renewable energy production, and heat demand. The achieved yearly savings in grid-electricity used by the heat pump were 14.3 %. The fluctuations in the grid load were decreased which as well were quantified by a lower standard deviation of the demand. In months with the best renewable energy availability, the grid electricity savings can reach up to 70 %.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"70 1","pages":"357 - 364"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84707862","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0033
Fabian Diaz, F. Romagnoli, L. Neusel, S. Hirzel, Jasmin Paulus, B. Marchi, S. Zanoni
Abstract Cold supply chains of food and beverage sectors represent one of the main drivers of the EU total final energy consumption. Within this context, food quality losses, changes in temperature regimes, energy use, environmental burdens, and the economic viability of energy efficiency measures are essential aspects to consider for improving cold supply chains’ overall sustainability. This paper presents a dedicated toolbox, developed within the Horizon 2020 project ICCEE, for supporting decision-making and actors to assess energy efficiency path within a specific type of food cold-supply (i.e., meat, fish, milk and cheese products, fruits, and vegetables). More in specific the toolbox offers support for decision-makers to understand and minimize the specific energy consumption, to decrease the overall environmental impact even including non-energy benefit evaluation many times underestimated. The six separated tools merged within a unique toolbox consider different methodological approaches such as: assessment of the whole energy requirements in stock and flows considering the storage impact, the logistics and quality losses over time, implementation of Life Cycle Assessment and Life Cycle costs within the environmental and financial assessment of energy efficiency measures, based on a benchmarking approach. Finally, a specific approach implementing Multi Criteria Analysis was developed on selected key performance indicators such as specific and cumulated energy consumptions, quality losses and environmental burdens (i.e., global warming potential and water scarcity). The latest version of the ICCEE toolbox is available as free downloadable package on the ICCEE website.
{"title":"The ICCEE Toolbox. A Holistic Instrument Supporting Energy Efficiency of Cold Food and Beverage Supply Chains","authors":"Fabian Diaz, F. Romagnoli, L. Neusel, S. Hirzel, Jasmin Paulus, B. Marchi, S. Zanoni","doi":"10.2478/rtuect-2022-0033","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0033","url":null,"abstract":"Abstract Cold supply chains of food and beverage sectors represent one of the main drivers of the EU total final energy consumption. Within this context, food quality losses, changes in temperature regimes, energy use, environmental burdens, and the economic viability of energy efficiency measures are essential aspects to consider for improving cold supply chains’ overall sustainability. This paper presents a dedicated toolbox, developed within the Horizon 2020 project ICCEE, for supporting decision-making and actors to assess energy efficiency path within a specific type of food cold-supply (i.e., meat, fish, milk and cheese products, fruits, and vegetables). More in specific the toolbox offers support for decision-makers to understand and minimize the specific energy consumption, to decrease the overall environmental impact even including non-energy benefit evaluation many times underestimated. The six separated tools merged within a unique toolbox consider different methodological approaches such as: assessment of the whole energy requirements in stock and flows considering the storage impact, the logistics and quality losses over time, implementation of Life Cycle Assessment and Life Cycle costs within the environmental and financial assessment of energy efficiency measures, based on a benchmarking approach. Finally, a specific approach implementing Multi Criteria Analysis was developed on selected key performance indicators such as specific and cumulated energy consumptions, quality losses and environmental burdens (i.e., global warming potential and water scarcity). The latest version of the ICCEE toolbox is available as free downloadable package on the ICCEE website.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"139 1","pages":"428 - 440"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79860682","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0077
Vivita Priedniece, V. Kirsanovs, Ritvars Freimanis, I. Veidenbergs, D. Blumberga
Abstract The household sector has a significant role in the consumption of energy resources and related emissions. The household sector is responsible for around 1/3 of the total energy resource consumption in Latvia. This study aims to determine the level of control measures regarding household boilers by summarising the existing information on legislation and quality labels regulating the efficiency and emissions of household boilers in the EU. The focus is on PM emissions and small-scale heating system regulations in Latvia. The study shows that small-scale biomass heating systems lack proper control measures to limit created emissions. The situation regarding PM emissions is the worst in Latvia, in comparison to the EU and 8 other studied countries.
{"title":"Emissions and Efficiency Limits of Small-Scale Biomass Heating Systems: Regulations, Standards, and Ecolabels","authors":"Vivita Priedniece, V. Kirsanovs, Ritvars Freimanis, I. Veidenbergs, D. Blumberga","doi":"10.2478/rtuect-2022-0077","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0077","url":null,"abstract":"Abstract The household sector has a significant role in the consumption of energy resources and related emissions. The household sector is responsible for around 1/3 of the total energy resource consumption in Latvia. This study aims to determine the level of control measures regarding household boilers by summarising the existing information on legislation and quality labels regulating the efficiency and emissions of household boilers in the EU. The focus is on PM emissions and small-scale heating system regulations in Latvia. The study shows that small-scale biomass heating systems lack proper control measures to limit created emissions. The situation regarding PM emissions is the worst in Latvia, in comparison to the EU and 8 other studied countries.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"31 1","pages":"1032 - 1043"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80698545","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0018
C. Tseng, Ngakan Ketut Acwin Dwijendra, Maria Jade Catalan Opulencia, S. Ganieva, I. Muda
Abstract The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies.
{"title":"Optimal Energy Management in a Smart Micro Grid with Demand Side Participation","authors":"C. Tseng, Ngakan Ketut Acwin Dwijendra, Maria Jade Catalan Opulencia, S. Ganieva, I. Muda","doi":"10.2478/rtuect-2022-0018","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0018","url":null,"abstract":"Abstract The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"136 1","pages":"228 - 239"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72801366","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0007
Antra Kalnbaļķīte, J. Pubule, D. Blumberga
Abstract Evolving complex concepts, such as bioeconomy, in the most effective way, can be applied through the education of students and professionals. In recent years changes in the education system can be observed with the development of knowledge-based learning. Competence-based learning will also be used more and more in higher education. Higher education plays a crucial role in achieving the goals of the Green Deal and the bioeconomy. The main emphasis is on creating new and innovative technologies and methods to achieve these goals. A new master’s study program, ‘Environmental Engineering’, has been established at the Institute of Energy Systems and Environment of Riga Technical University. One of the study directions is ‘Bioeconomy’. Considering the developed direction ‘Bioeconomy’, the importance of this sector is visible. Attention should also be paid to the goals of the Green Deal. This study summarised research on education, bioeconomy and Green Deal topics and analysed the interrelationships between these studies using the VOSviewer tool. During the analysis, it is possible to conclude the main keywords that characterise these studies. The obtained keywords should indicate the development trends of future research, which is in line with education, the ‘Green Deal’, and bioeconomy.
{"title":"Education for Advancing the Implementation of the Green Deal Goals for Bioeconomy","authors":"Antra Kalnbaļķīte, J. Pubule, D. Blumberga","doi":"10.2478/rtuect-2022-0007","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0007","url":null,"abstract":"Abstract Evolving complex concepts, such as bioeconomy, in the most effective way, can be applied through the education of students and professionals. In recent years changes in the education system can be observed with the development of knowledge-based learning. Competence-based learning will also be used more and more in higher education. Higher education plays a crucial role in achieving the goals of the Green Deal and the bioeconomy. The main emphasis is on creating new and innovative technologies and methods to achieve these goals. A new master’s study program, ‘Environmental Engineering’, has been established at the Institute of Energy Systems and Environment of Riga Technical University. One of the study directions is ‘Bioeconomy’. Considering the developed direction ‘Bioeconomy’, the importance of this sector is visible. Attention should also be paid to the goals of the Green Deal. This study summarised research on education, bioeconomy and Green Deal topics and analysed the interrelationships between these studies using the VOSviewer tool. During the analysis, it is possible to conclude the main keywords that characterise these studies. The obtained keywords should indicate the development trends of future research, which is in line with education, the ‘Green Deal’, and bioeconomy.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"7 1","pages":"75 - 83"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75855224","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0045
L. Cecchini, D. Pezzolla, M. Chiorri, G. Gigliotti, B. Torquati
Abstract Biogas-based energy production has become a successful strategy for many livestock farms around the world. However, raw materials production is threatened by a growing uncertainty due to effects of climate change on crops cultivation. The aim of this paper is to propose a tool for the optimal design of the biogas mixture, considering respectively the nutritional needs of livestock and the parameters of the biogas process. Within a context of climate variability, a three-stage Discrete Stochastic Programming (DSP) model is applied in a dairy cattle farm with anaerobic digestion plant. This state-contingent approach (DSP model) considers, as uncertain parameters, the watering needs and the yields of forage and energetic crops. The DSP model is compared with equivalent models of expected values to verify the benefits derived from the explicit inclusion of climatic states. The results showed a remarkable improvement in the efficiency of feedstock management, reflecting in a significant reduction in farm costs (11.75 %) compared to the baseline scenario. Whereas, the comparison between the state-contingent approach and the expected value model, showed only slight benefits (0.02 %). This confirms that the DSP model’s ability to offer a better hedged solution increases when high climate variability affects crop yields and irrigation needs.
{"title":"Feeding Management Optimization in Livestock Farms with Anaerobic Digestion Plant: A Discrete Stochastic Programming (DSP) Model","authors":"L. Cecchini, D. Pezzolla, M. Chiorri, G. Gigliotti, B. Torquati","doi":"10.2478/rtuect-2022-0045","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0045","url":null,"abstract":"Abstract Biogas-based energy production has become a successful strategy for many livestock farms around the world. However, raw materials production is threatened by a growing uncertainty due to effects of climate change on crops cultivation. The aim of this paper is to propose a tool for the optimal design of the biogas mixture, considering respectively the nutritional needs of livestock and the parameters of the biogas process. Within a context of climate variability, a three-stage Discrete Stochastic Programming (DSP) model is applied in a dairy cattle farm with anaerobic digestion plant. This state-contingent approach (DSP model) considers, as uncertain parameters, the watering needs and the yields of forage and energetic crops. The DSP model is compared with equivalent models of expected values to verify the benefits derived from the explicit inclusion of climatic states. The results showed a remarkable improvement in the efficiency of feedstock management, reflecting in a significant reduction in farm costs (11.75 %) compared to the baseline scenario. Whereas, the comparison between the state-contingent approach and the expected value model, showed only slight benefits (0.02 %). This confirms that the DSP model’s ability to offer a better hedged solution increases when high climate variability affects crop yields and irrigation needs.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"22 1","pages":"587 - 605"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82101973","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0039
Ieva Siksnane, A. Lagzdins
Abstract Water quality in any stream is affected by complex interactions between natural and anthropogenic factors in a given catchment area. Agriculture has been identified as a major contributor of nitrogen and phosphorus inputs to surface waters in the Baltic Sea region. Although decisions regarding agricultural management practices, e.g. crop rotation, tillage, fertilization, have a direct impact on likelihood and magnitude of nitrogen and phosphorus losses from agricultural areas to surface waters, natural factors such as meteorological and hydrological conditions have a triggering role in processes determining transformations, storage, uptake and losses of nutrients. In order to investigate the effects of meteorological (precipitation and air temperature) and hydrological (runoff) conditions on water quality (losses of total nitrogen (TN) and total phosphorus (TP)) the results of the Agricultural Runoff Monitoring Programme collected at three monitoring sites (Berze, Mellupite, and Vienziemite) during the time period of 1995–2020 were summarized and analysed. The pronounced differences in mean annual air temperature and annual precipitation were observed when the meteorological information representing the periods of twenty years was compared indicating for evidences of climate change. In addition, the relationships between seasonal precipitation and runoff was detected. As affected by the hydrological behaviour the losses of TN and TP in agricultural catchments had large variations depending on the intensity of agricultural production and site location. The changes in seasonal and annual patterns of precipitation, air temperature and runoff may increase the risks of nutrient losses from agricultural catchments in the future.
{"title":"The Effects of Meteorological and Hydrological Conditions on Nutrient Losses from Agricultural Areas in Latvia","authors":"Ieva Siksnane, A. Lagzdins","doi":"10.2478/rtuect-2022-0039","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0039","url":null,"abstract":"Abstract Water quality in any stream is affected by complex interactions between natural and anthropogenic factors in a given catchment area. Agriculture has been identified as a major contributor of nitrogen and phosphorus inputs to surface waters in the Baltic Sea region. Although decisions regarding agricultural management practices, e.g. crop rotation, tillage, fertilization, have a direct impact on likelihood and magnitude of nitrogen and phosphorus losses from agricultural areas to surface waters, natural factors such as meteorological and hydrological conditions have a triggering role in processes determining transformations, storage, uptake and losses of nutrients. In order to investigate the effects of meteorological (precipitation and air temperature) and hydrological (runoff) conditions on water quality (losses of total nitrogen (TN) and total phosphorus (TP)) the results of the Agricultural Runoff Monitoring Programme collected at three monitoring sites (Berze, Mellupite, and Vienziemite) during the time period of 1995–2020 were summarized and analysed. The pronounced differences in mean annual air temperature and annual precipitation were observed when the meteorological information representing the periods of twenty years was compared indicating for evidences of climate change. In addition, the relationships between seasonal precipitation and runoff was detected. As affected by the hydrological behaviour the losses of TN and TP in agricultural catchments had large variations depending on the intensity of agricultural production and site location. The changes in seasonal and annual patterns of precipitation, air temperature and runoff may increase the risks of nutrient losses from agricultural catchments in the future.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"28 12","pages":"512 - 523"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72411137","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0047
K. Dolge, D. Blumberga
Abstract Climate change poses a major challenge to capitalist-oriented societies to restructure their economies and adapt to low-carbon measures that, at first glance, may not be the most economically viable option. Therefore, climate-economy models have become increasingly important in environmental and energy policy in recent years. This study examines recent trends in climate-economy and energy equilibrium research and examines the relationship among the identified key attributes. A bibliometric analysis is used to evaluate scientific publications from the Scopus database that have addressed the relationship between the environment and the economy and have developed climate-economy models. Results show that climate change, emission control, CO2 emissions are strongly linked with economic and social effects, energy policy, renewable energy resources and energy efficiency. Most recent articles focus on photovoltaic system and electricity, energy utilization, economic analysis and sustainable development.
{"title":"What are the Linkages between Climate and Economy? Bibliometric Analysis","authors":"K. Dolge, D. Blumberga","doi":"10.2478/rtuect-2022-0047","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0047","url":null,"abstract":"Abstract Climate change poses a major challenge to capitalist-oriented societies to restructure their economies and adapt to low-carbon measures that, at first glance, may not be the most economically viable option. Therefore, climate-economy models have become increasingly important in environmental and energy policy in recent years. This study examines recent trends in climate-economy and energy equilibrium research and examines the relationship among the identified key attributes. A bibliometric analysis is used to evaluate scientific publications from the Scopus database that have addressed the relationship between the environment and the economy and have developed climate-economy models. Results show that climate change, emission control, CO2 emissions are strongly linked with economic and social effects, energy policy, renewable energy resources and energy efficiency. Most recent articles focus on photovoltaic system and electricity, energy utilization, economic analysis and sustainable development.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"27 1","pages":"616 - 629"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83080661","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 : 2022-01-01DOI: 10.2478/rtuect-2022-0005
F. Fagioli, L. Paolotti, A. Boggia
Abstract Environmental Management Systems (EMS) represent a solid opportunity for companies that voluntarily undertake a path towards the adoption of environmental protection policies. Many studies investigated the link between EMS and improvement of environmental performance, demonstrating how the adoption of an international standard as ISO 14000 or EMAS guarantees the company an improvement in its performance and an increase in transparency towards stakeholders. However, scientific research in this field reflects the strong variability due to the breadth and diversity of sectors in which the two international standards can be adopted. The aim of this work is to analyse, through textual statistics and text mining methods, the trends that characterize scientific production, highlighting most debated topics useful for developing new research perspectives in this research field.
{"title":"Trends in Environmental Management Systems Research. A Content Analysis","authors":"F. Fagioli, L. Paolotti, A. Boggia","doi":"10.2478/rtuect-2022-0005","DOIUrl":"https://doi.org/10.2478/rtuect-2022-0005","url":null,"abstract":"Abstract Environmental Management Systems (EMS) represent a solid opportunity for companies that voluntarily undertake a path towards the adoption of environmental protection policies. Many studies investigated the link between EMS and improvement of environmental performance, demonstrating how the adoption of an international standard as ISO 14000 or EMAS guarantees the company an improvement in its performance and an increase in transparency towards stakeholders. However, scientific research in this field reflects the strong variability due to the breadth and diversity of sectors in which the two international standards can be adopted. The aim of this work is to analyse, through textual statistics and text mining methods, the trends that characterize scientific production, highlighting most debated topics useful for developing new research perspectives in this research field.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"37 1","pages":"46 - 63"},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78025435","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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