Pub Date : 2023-01-01DOI: 10.2478/rtuect-2023-0051
Katarina Brence, Edgars Kudurs, Kārlis Valters, Dagnija Blumberga
Abstract Renewable energy sources (RES) are the key element of sustainable energy systems. To accommodate the intermittency of wind (and solar) electricity generation, energy storage is critical. The aim of the study was to evaluate the potential of wind energy storage in the existing hydropower plant reservoirs in Latvia with the pumped hydroelectric energy storage (PHES) technology, considering the current and projected future wind energy capacities. An algorithm was developed and used for data aggregation and analysis, calculations, and forecasting. The three River Daugava hydroelectric power plants are the largest electricity producers in Latvia, and their generation capacity depends on seasonal variations. Currently, Latvia's electricity generation from RES is the highest during the spring season when maximum hydropower potential is utilized. However, wind energy has a potential to grow and could supplement hydropower throughout the year. Decreasing the existing administrative procedure heaviness to faster achieve the climate neutrality targets and energy autonomy by increasing RES development in Latvia is a way to create sustainable energy production. A rational future scenario in Latvia is to expand wind parks and integrate pumped hydroelectric energy storage systems in the existing cascade hydropower plants.
{"title":"Twinned Renewable Energy Accumulation: Case of Wind and Hydro Energy","authors":"Katarina Brence, Edgars Kudurs, Kārlis Valters, Dagnija Blumberga","doi":"10.2478/rtuect-2023-0051","DOIUrl":"https://doi.org/10.2478/rtuect-2023-0051","url":null,"abstract":"Abstract Renewable energy sources (RES) are the key element of sustainable energy systems. To accommodate the intermittency of wind (and solar) electricity generation, energy storage is critical. The aim of the study was to evaluate the potential of wind energy storage in the existing hydropower plant reservoirs in Latvia with the pumped hydroelectric energy storage (PHES) technology, considering the current and projected future wind energy capacities. An algorithm was developed and used for data aggregation and analysis, calculations, and forecasting. The three River Daugava hydroelectric power plants are the largest electricity producers in Latvia, and their generation capacity depends on seasonal variations. Currently, Latvia's electricity generation from RES is the highest during the spring season when maximum hydropower potential is utilized. However, wind energy has a potential to grow and could supplement hydropower throughout the year. Decreasing the existing administrative procedure heaviness to faster achieve the climate neutrality targets and energy autonomy by increasing RES development in Latvia is a way to create sustainable energy production. A rational future scenario in Latvia is to expand wind parks and integrate pumped hydroelectric energy storage systems in the existing cascade hydropower plants.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135507955","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}
Y. Skob, S. Yakovlev, O. Pichugina, Mykola Kalinichenko, Kyryl Korobchynskyi, A. Hulianytskyi
Abstract This study aims to evaluate numerically the influence of wind speed on scales of environmental harmful consequences caused by accidentally spilled toxic liquid evaporated from the surface of a free-form outlined spill spot. A coupled problem of the gas-dynamic movement of a toxic air-mixture cloud in the atmosphere’s surface layer under the influence of wind and a negative toxic inhalation impact on a human in an accident zone is solved by means of mathematical modelling and computer experiment. A three-dimensional non-stationary mathematical model of the turbulent movement of a gas-air mixture is used for obtaining distribution of relative mass concentration of toxic gas impurities in time and space. A probabilistic impact model based on using a modernized probit analysis method is used to obtain fields of conditional probability of a fatal human injury resulting from toxic gas inhalation. This technique allows environmental safety experts assessing the scale of considered type technogenic accident consequences numerically depending on wind speed conditions and elaborating the means to mitigate them to acceptable levels.
{"title":"Numerical Evaluation of Wind Speed Influence on Accident Toxic Spill Consequences Scales","authors":"Y. Skob, S. Yakovlev, O. Pichugina, Mykola Kalinichenko, Kyryl Korobchynskyi, A. Hulianytskyi","doi":"10.7250/conect.2023.046","DOIUrl":"https://doi.org/10.7250/conect.2023.046","url":null,"abstract":"Abstract This study aims to evaluate numerically the influence of wind speed on scales of environmental harmful consequences caused by accidentally spilled toxic liquid evaporated from the surface of a free-form outlined spill spot. A coupled problem of the gas-dynamic movement of a toxic air-mixture cloud in the atmosphere’s surface layer under the influence of wind and a negative toxic inhalation impact on a human in an accident zone is solved by means of mathematical modelling and computer experiment. A three-dimensional non-stationary mathematical model of the turbulent movement of a gas-air mixture is used for obtaining distribution of relative mass concentration of toxic gas impurities in time and space. A probabilistic impact model based on using a modernized probit analysis method is used to obtain fields of conditional probability of a fatal human injury resulting from toxic gas inhalation. This technique allows environmental safety experts assessing the scale of considered type technogenic accident consequences numerically depending on wind speed conditions and elaborating the means to mitigate them to acceptable levels.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"26 1","pages":"450 - 463"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78285294","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 : 2023-01-01DOI: 10.2478/rtuect-2023-0018
Beate Zlaugotne, Fabian Andres Diaz Sanchez, J. Pubule, D. Blumberga
Abstract The marketability of fish depends on the visual appearance of the fish, so the feed ingredient pigment contributes to the nutritional value and visual appearance of the product. The benefits of a natural pigment derived from microalgae are the ecological benefits, as the culture can fix carbon and release oxygen. The economic aspect is a benefit of synthetic pigments. The Life Cycle Assessment (LCA) method was used to determine the environmental impact of natural and synthetic pigments. The results obtained from the LCA are expressed according to the impact categories defined by the Product Environmental Footprint Category Rules (PEFCR). A sensitivity analysis was also carried out comparing the environmental impacts of electricity generated with hydropower or using a field mix from Norway for the natural pigment. The total single score value for natural pigment is 1.17E+01 mPt and the largest impact is from sodium nitrate and electricity. The sensitivity analysis results for electricity from the country mix is 1.82E+01 mPt. The total single score value for synthetic pigment is 8.24E−01 mPt, with the largest impact from methanol. Synthetic pigments have a lower environmental impact than natural pigments, but a sensitivity analysis shows that the environmental impact can be reduced by choosing an alternative to electricity. It should be noted that the comparison presented represents a general comparison of alternatives, as the input data is derived from a literature review.
鱼类的销路取决于鱼类的视觉外观，因此饲料成分色素对产品的营养价值和视觉外观都有贡献。从微藻中提取的天然色素的好处是生态效益，因为培养可以固定碳并释放氧气。经济方面是合成色素的好处。采用生命周期评价(LCA)方法确定了天然色素和合成色素对环境的影响。从LCA获得的结果是根据产品环境足迹类别规则(PEFCR)定义的影响类别来表示的。还进行了敏感性分析，比较了水电发电或使用挪威天然色素的田间混合物对环境的影响。天然色素单次总得分为1.17E+01 mPt，影响最大的是硝酸钠和电。国家混合电力的敏感性分析结果为1.82 2e +01 mPt。合成色素的总单次得分值为8.24E−01 mPt，甲醇的影响最大。合成色素对环境的影响比天然色素小，但敏感性分析表明，通过选择替代电力可以减少对环境的影响。应该指出的是，所提供的比较代表了对备选方案的一般比较，因为输入数据来自文献综述。
{"title":"Life Cycle Impact Assessment of Microalgae and Synthetic Astaxanthin Pigments","authors":"Beate Zlaugotne, Fabian Andres Diaz Sanchez, J. Pubule, D. Blumberga","doi":"10.2478/rtuect-2023-0018","DOIUrl":"https://doi.org/10.2478/rtuect-2023-0018","url":null,"abstract":"Abstract The marketability of fish depends on the visual appearance of the fish, so the feed ingredient pigment contributes to the nutritional value and visual appearance of the product. The benefits of a natural pigment derived from microalgae are the ecological benefits, as the culture can fix carbon and release oxygen. The economic aspect is a benefit of synthetic pigments. The Life Cycle Assessment (LCA) method was used to determine the environmental impact of natural and synthetic pigments. The results obtained from the LCA are expressed according to the impact categories defined by the Product Environmental Footprint Category Rules (PEFCR). A sensitivity analysis was also carried out comparing the environmental impacts of electricity generated with hydropower or using a field mix from Norway for the natural pigment. The total single score value for natural pigment is 1.17E+01 mPt and the largest impact is from sodium nitrate and electricity. The sensitivity analysis results for electricity from the country mix is 1.82E+01 mPt. The total single score value for synthetic pigment is 8.24E−01 mPt, with the largest impact from methanol. Synthetic pigments have a lower environmental impact than natural pigments, but a sensitivity analysis shows that the environmental impact can be reduced by choosing an alternative to electricity. It should be noted that the comparison presented represents a general comparison of alternatives, as the input data is derived from a literature review.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"62 1","pages":"233 - 242"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80680336","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 : 2023-01-01DOI: 10.2478/rtuect-2023-0005
O. Candra, A. Chammam, U. Rahardja, A. Ramírez-Coronel, Abdullah Abdul Al-Jaleel, Ibrahim H. Al-Kharsan, I. Muda, Ghasem B Derakhshani, Mohamad Mehdi Rezai
Abstract In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs’ profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.
{"title":"Optimal Participation of the Renewable Energy in Microgrids with Load Management Strategy","authors":"O. Candra, A. Chammam, U. Rahardja, A. Ramírez-Coronel, Abdullah Abdul Al-Jaleel, Ibrahim H. Al-Kharsan, I. Muda, Ghasem B Derakhshani, Mohamad Mehdi Rezai","doi":"10.2478/rtuect-2023-0005","DOIUrl":"https://doi.org/10.2478/rtuect-2023-0005","url":null,"abstract":"Abstract In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs’ profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"11 1","pages":"56 - 66"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81852404","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}
Abstract Numerical optimization methods are used to reduce the operative costs and emissions of domestic houses comprising photovoltaic energy production and battery electrical storage combined with time-variant electricity prices. The modelling of the system comprises the different involved devices, energy flows and their constraints, and an objective function, which parametrizes the object of the optimization. The solution of the optimization problem defines the most adequate charging and discharging strategy of the battery into the future (prediction horizon). Power inverter efficiencies are usually modelled by assuming that they have constant values, and hence, that charging and discharging energy-flows lie on the most probably operating region of the inverter. A more realistic modelling of the power inverter efficiencies should consider a nonlinear parametrization of the efficiency curves. This consideration converts the optimization problem into a nonlinear one. It this paper, we modify a method to solve nonlinear optimization problems means iterations of linear optimization problems. The first iteration uses as seed values the solution of an optimization problem, which considers constant efficiencies of the battery inverter provided by the manufacturer of the battery. With the values of the solution of the optimization problem and with help of measured (dis)charging power curves and the optimized (dis)charging, new values of the efficiencies of the inverter of the battery will be determined, and the optimization problem will be with these values again computed. If a certain number of iterations is achieved or the values of the efficiencies converge, then the process stops.
{"title":"An Empirical Approach to Optimize Nonlinear Problems of Domestic Energy Management Systems","authors":"F. Carreras, Harald Kirchsteiger","doi":"10.7250/conect.2023.034","DOIUrl":"https://doi.org/10.7250/conect.2023.034","url":null,"abstract":"Abstract Numerical optimization methods are used to reduce the operative costs and emissions of domestic houses comprising photovoltaic energy production and battery electrical storage combined with time-variant electricity prices. The modelling of the system comprises the different involved devices, energy flows and their constraints, and an objective function, which parametrizes the object of the optimization. The solution of the optimization problem defines the most adequate charging and discharging strategy of the battery into the future (prediction horizon). Power inverter efficiencies are usually modelled by assuming that they have constant values, and hence, that charging and discharging energy-flows lie on the most probably operating region of the inverter. A more realistic modelling of the power inverter efficiencies should consider a nonlinear parametrization of the efficiency curves. This consideration converts the optimization problem into a nonlinear one. It this paper, we modify a method to solve nonlinear optimization problems means iterations of linear optimization problems. The first iteration uses as seed values the solution of an optimization problem, which considers constant efficiencies of the battery inverter provided by the manufacturer of the battery. With the values of the solution of the optimization problem and with help of measured (dis)charging power curves and the optimized (dis)charging, new values of the efficiencies of the inverter of the battery will be determined, and the optimization problem will be with these values again computed. If a certain number of iterations is achieved or the values of the efficiencies converge, then the process stops.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"44 1","pages":"299 - 313"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82166373","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 : 2023-01-01DOI: 10.2478/rtuect-2023-0015
Lauma Balode, D. Blumberga
Abstract To achieve the climate targets set by 2030 and become climate neutral by 2050, each Member State must develop a National Energy and Climate Plan (hereinafter NECP) containing practical and effective measures to achieve the targets. The research sought a connection between the measures or action lines in the Latvian NECP related to agriculture and forestry, the European Green Deal goals and related strategies. The effectiveness of the agricultural and forestry measures defined in the Latvian NECP was evaluated by defining appropriate indicators, an expert survey and a composite sustainability index. The results show that the effectiveness of agricultural and forestry measures is most influenced by quality, financing, and specificity factors. The lowest-scoring measures were specific measures whose impacts cannot be measured and are not explicitly mentioned in the European Green Deal. Therefore, the description of the measures should be more detailed, with specific activities, indicators to be achieved, and amounts and funding sources planned for each activity.
{"title":"Evaluating the Effectiveness of Agricultural and Forestry Policies in Achieving Environmental Goals Through Policy Documents","authors":"Lauma Balode, D. Blumberga","doi":"10.2478/rtuect-2023-0015","DOIUrl":"https://doi.org/10.2478/rtuect-2023-0015","url":null,"abstract":"Abstract To achieve the climate targets set by 2030 and become climate neutral by 2050, each Member State must develop a National Energy and Climate Plan (hereinafter NECP) containing practical and effective measures to achieve the targets. The research sought a connection between the measures or action lines in the Latvian NECP related to agriculture and forestry, the European Green Deal goals and related strategies. The effectiveness of the agricultural and forestry measures defined in the Latvian NECP was evaluated by defining appropriate indicators, an expert survey and a composite sustainability index. The results show that the effectiveness of agricultural and forestry measures is most influenced by quality, financing, and specificity factors. The lowest-scoring measures were specific measures whose impacts cannot be measured and are not explicitly mentioned in the European Green Deal. Therefore, the description of the measures should be more detailed, with specific activities, indicators to be achieved, and amounts and funding sources planned for each activity.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"113 1","pages":"195 - 211"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73514199","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 : 2023-01-01DOI: 10.2478/rtuect-2023-0006
Ngakan Ketut Acwin Dwijendra, I. Arsana, S. Al-Hawary, A. S. Prakaash, Rosario Mireya Romero Parra, A. Turki Jalil, A. T. Hammid
Abstract In this paper, optimal coordination of the demand side under uncertainty of the energy price in energy market is studied. The consumers by demand response programs (DRPs) have optimal role in minimization of the energy generation costs in multiple energy system. The consumers can participate via local generation strategy (LGS) and demand curtailment strategy (DCS). The optimal coordination is considered as two stage optimization, in which minimization of the consumers’ bills is done in first stage. In following, the minimization of the generation costs is performed in second stage optimization. The LGS is taken into accounted through optimal discharging of plug electric vehicles (PEVs). Finally, numerical simulation is implemented to show superiority of the proposed approach to minimization of the energy generation costs.
{"title":"Operation of the Multiple Energy System with Optimal Coordination of the Consumers in Energy Market","authors":"Ngakan Ketut Acwin Dwijendra, I. Arsana, S. Al-Hawary, A. S. Prakaash, Rosario Mireya Romero Parra, A. Turki Jalil, A. T. Hammid","doi":"10.2478/rtuect-2023-0006","DOIUrl":"https://doi.org/10.2478/rtuect-2023-0006","url":null,"abstract":"Abstract In this paper, optimal coordination of the demand side under uncertainty of the energy price in energy market is studied. The consumers by demand response programs (DRPs) have optimal role in minimization of the energy generation costs in multiple energy system. The consumers can participate via local generation strategy (LGS) and demand curtailment strategy (DCS). The optimal coordination is considered as two stage optimization, in which minimization of the consumers’ bills is done in first stage. In following, the minimization of the generation costs is performed in second stage optimization. The LGS is taken into accounted through optimal discharging of plug electric vehicles (PEVs). Finally, numerical simulation is implemented to show superiority of the proposed approach to minimization of the energy generation costs.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"49 1","pages":"1 - 13"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91274353","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 : 2023-01-01DOI: 10.2478/rtuect-2023-0052
Harald Kirchsteiger, Sarah Landl
Abstract The problem of temporary overvoltage when integrating large renewable power plants into the existing grid is considered. A grid-connected battery energy storage system with an advanced predictive control algorithm is proposed to reduce the overvoltage in time periods of excessive renewable production. An approximative grid model is developed using system identification methods on regular operation data. A model predictive control algorithm utilizing predictions of load and generation determines the optimal operation strategy of the battery. A comparison in simulation between a reference case with PID control and the proposed algorithm shows a large reduction of the time spent in overvoltage conditions, especially in the case of consecutive days of high renewables production. The results suggest that energy storages combined with a predictive control strategy can effectively alleviate the overvoltage problem in renewables integration. Especially in the case when available storage capacity is comparatively low, a uniform overvoltage reduction can be realized. The method can potentially increase the PV host capacity of current grids.
{"title":"Avoiding PV-Induced Overvoltage through Grid-Connected Batteries Using Model Predictive Control","authors":"Harald Kirchsteiger, Sarah Landl","doi":"10.2478/rtuect-2023-0052","DOIUrl":"https://doi.org/10.2478/rtuect-2023-0052","url":null,"abstract":"Abstract The problem of temporary overvoltage when integrating large renewable power plants into the existing grid is considered. A grid-connected battery energy storage system with an advanced predictive control algorithm is proposed to reduce the overvoltage in time periods of excessive renewable production. An approximative grid model is developed using system identification methods on regular operation data. A model predictive control algorithm utilizing predictions of load and generation determines the optimal operation strategy of the battery. A comparison in simulation between a reference case with PID control and the proposed algorithm shows a large reduction of the time spent in overvoltage conditions, especially in the case of consecutive days of high renewables production. The results suggest that energy storages combined with a predictive control strategy can effectively alleviate the overvoltage problem in renewables integration. Especially in the case when available storage capacity is comparatively low, a uniform overvoltage reduction can be realized. The method can potentially increase the PV host capacity of current grids.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135562317","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 : 2023-01-01DOI: 10.2478/rtuect-2023-0016
Oskars Švedovs, M. Dzikevics, V. Kirsanovs, I. Veidenbergs
Abstract The concept of the new water treatment system was developed. A primary area was defined in which such technology is intended to be used: water treatment in compact flue-gas condensation systems for a low-power wood-fuelled biomass boiler. A prototype operating based on invented technology was built. An experimental plan was developed, and an experimental stand was constructed to determine the prototype’s efficiency. Based on the study’s results, it was concluded that the prototype could operate effectively in the laboratory environment: achievable efficiency is equal on average between 57.84 % and 88.09 % depending on the operating mode. The result is assessed as positive. TRL 3 has been reached.
{"title":"A New Approach to Water Treatment: Investigating the Performance of Compact Particulate Matter Collector for Use in Compact Flue Gas Condenser","authors":"Oskars Švedovs, M. Dzikevics, V. Kirsanovs, I. Veidenbergs","doi":"10.2478/rtuect-2023-0016","DOIUrl":"https://doi.org/10.2478/rtuect-2023-0016","url":null,"abstract":"Abstract The concept of the new water treatment system was developed. A primary area was defined in which such technology is intended to be used: water treatment in compact flue-gas condensation systems for a low-power wood-fuelled biomass boiler. A prototype operating based on invented technology was built. An experimental plan was developed, and an experimental stand was constructed to determine the prototype’s efficiency. Based on the study’s results, it was concluded that the prototype could operate effectively in the laboratory environment: achievable efficiency is equal on average between 57.84 % and 88.09 % depending on the operating mode. The result is assessed as positive. TRL 3 has been reached.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"14 1","pages":"212 - 219"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75101462","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}
Abstract Global annual textile consumption has doubled in the last two decades and is expected to keep increasing. Since the textile system operates primarily in a linear way, it is highly polluting and creates a lot of waste. But nevertheless, it has a high potential for circularity since most textile products can be recycled or reused. Today most of the waste ends up in landfills, and less than 1 % is recycled back into textiles. This study aims to gather information and evaluate which textile product group has the highest potential for circular economy growth. It covers three main textile product streams: fashion, home, and technical textiles. The groups were compared using fifteen criteria: environmental impact, washes, landfilled waste, recycled waste, origin of fabric, projected lifetime, market demand, production volume, international trade, labour productivity, value added, energy efficiency of production technologies, innovation capacity, employment, and enterprises. Input values have been found for each sustainability indicator by using and mathematically transforming data from the scientific literature. The evaluation method used in this study was multi-criteria decision analysis. The results indicated that the fashion textile group has the most significant potential for circular economy development, mainly because it is the largest textile product stream, and the development of a circular economy could be cost-effective.
{"title":"Analysis of Textile Circularity Potential","authors":"Megija Valtere, Tereza Bezrucko, D. Blumberga","doi":"10.7250/conect.2023.104","DOIUrl":"https://doi.org/10.7250/conect.2023.104","url":null,"abstract":"Abstract Global annual textile consumption has doubled in the last two decades and is expected to keep increasing. Since the textile system operates primarily in a linear way, it is highly polluting and creates a lot of waste. But nevertheless, it has a high potential for circularity since most textile products can be recycled or reused. Today most of the waste ends up in landfills, and less than 1 % is recycled back into textiles. This study aims to gather information and evaluate which textile product group has the highest potential for circular economy growth. It covers three main textile product streams: fashion, home, and technical textiles. The groups were compared using fifteen criteria: environmental impact, washes, landfilled waste, recycled waste, origin of fabric, projected lifetime, market demand, production volume, international trade, labour productivity, value added, energy efficiency of production technologies, innovation capacity, employment, and enterprises. Input values have been found for each sustainability indicator by using and mathematically transforming data from the scientific literature. The evaluation method used in this study was multi-criteria decision analysis. The results indicated that the fashion textile group has the most significant potential for circular economy development, mainly because it is the largest textile product stream, and the development of a circular economy could be cost-effective.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"39 1","pages":"220 - 232"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89479448","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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