Pub Date : 2019-06-08DOI: 10.1109/ACEEE.2019.8817045
F. Yu, Cun Dong, Jiandong Jiang
At the same time as the rapid development of wind power and photovoltaic power generation, the phenomenon of abandoning wind and abandoning light has become increasingly serious. Increasing the accuracy of wind power and photovoltaic power generation prediction can effectively alleviate the occurrence of abandoned wind and abandoned light and it is of great significance for improving the power utilization rate of new energy generation. Based on the operating mechanism of new energy consumption, this paper expounds the impact of accurate new energy generation power forecasting on improving new energy consumption and reducing traditional fossil energy consumption; then taking wind farm as an example, this paper analyzes the main factors affecting the accuracy of short-term wind power prediction; finally, based on the above introduction, this paper summarizes the main methods and measures to improve the power prediction accuracy of new energy generation in the future.
{"title":"Summary of Research on Power Forecasting Technology of New Energy Generation","authors":"F. Yu, Cun Dong, Jiandong Jiang","doi":"10.1109/ACEEE.2019.8817045","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8817045","url":null,"abstract":"At the same time as the rapid development of wind power and photovoltaic power generation, the phenomenon of abandoning wind and abandoning light has become increasingly serious. Increasing the accuracy of wind power and photovoltaic power generation prediction can effectively alleviate the occurrence of abandoned wind and abandoned light and it is of great significance for improving the power utilization rate of new energy generation. Based on the operating mechanism of new energy consumption, this paper expounds the impact of accurate new energy generation power forecasting on improving new energy consumption and reducing traditional fossil energy consumption; then taking wind farm as an example, this paper analyzes the main factors affecting the accuracy of short-term wind power prediction; finally, based on the above introduction, this paper summarizes the main methods and measures to improve the power prediction accuracy of new energy generation in the future.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"22 1","pages":"49-53"},"PeriodicalIF":0.0,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89151247","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}
The application prospect of the climbing rod robot in the high-altitude field has been widely concerned. In recent years, it has gradually become one of the research hotspots in the field of robots at home and abroad. However, there are often some obstacles on some poles. The robot has two bionic mechanical arms, each of which is composed of a crawling guiding mechanism, a self-locking driving mechanism, a rotating disengagement mechanism, a transmission mechanism, and the like, and can adapt to guide rods of different diameters within a certain range. The working principle and characteristics of various components of the robot are expounded, and the design results and implementation methods are given.
{"title":"Design of Biped Bionic Climbing Rod Robot with Obstacle Function","authors":"Wu Shaolei, Feng Yu, Guo Feng, Cheng Kai, Zhou Yu, Jiang Xingyu","doi":"10.1109/ACEEE.2019.8816999","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816999","url":null,"abstract":"The application prospect of the climbing rod robot in the high-altitude field has been widely concerned. In recent years, it has gradually become one of the research hotspots in the field of robots at home and abroad. However, there are often some obstacles on some poles. The robot has two bionic mechanical arms, each of which is composed of a crawling guiding mechanism, a self-locking driving mechanism, a rotating disengagement mechanism, a transmission mechanism, and the like, and can adapt to guide rods of different diameters within a certain range. The working principle and characteristics of various components of the robot are expounded, and the design results and implementation methods are given.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"61 1","pages":"45-48"},"PeriodicalIF":0.0,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83790587","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 : 2019-06-08DOI: 10.1109/ACEEE.2019.8816920
Hsiu‐Hua Chang
Food waste, the kind of ethical issue, would lead to a significantly negative impact on social, economic, and ecological environment, and is an increasingly discussed topic in recent years. While a magnitude of food waste is generated by individual and household, consumers’ attitudes and behaviors play a vital role in the food supply chain. However, systematic research on food waste through consumer perspectives, especially in the consumer/household level, is missing. This study tries to explore the cultural and psychological factors that influence consumers' ethical norms and behavioral intention toward food waste based on Hunt and Vitell's ethical decision-making model. The results show that consumers would face an ethical dilemma when they decide to act for self-interests or social conflict. Materialism and individualism can significant influence consumers’ ethical norms. Consumers’ ethical behavioral intentions toward food waste would be also affected by ethical norms. Exploring and understanding consumer motives toward food waste attitudes and behaviors can submit some insights based on this study’s findings to avoid food waste behavioral intentions and thus to decline social and environmental damage. Some theatrical and managerial contributions are finally discussed in this study.
{"title":"Sustainable Development: Drivers of Consumer Food Wasting","authors":"Hsiu‐Hua Chang","doi":"10.1109/ACEEE.2019.8816920","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816920","url":null,"abstract":"Food waste, the kind of ethical issue, would lead to a significantly negative impact on social, economic, and ecological environment, and is an increasingly discussed topic in recent years. While a magnitude of food waste is generated by individual and household, consumers’ attitudes and behaviors play a vital role in the food supply chain. However, systematic research on food waste through consumer perspectives, especially in the consumer/household level, is missing. This study tries to explore the cultural and psychological factors that influence consumers' ethical norms and behavioral intention toward food waste based on Hunt and Vitell's ethical decision-making model. The results show that consumers would face an ethical dilemma when they decide to act for self-interests or social conflict. Materialism and individualism can significant influence consumers’ ethical norms. Consumers’ ethical behavioral intentions toward food waste would be also affected by ethical norms. Exploring and understanding consumer motives toward food waste attitudes and behaviors can submit some insights based on this study’s findings to avoid food waste behavioral intentions and thus to decline social and environmental damage. Some theatrical and managerial contributions are finally discussed in this study.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"69 1","pages":"16-19"},"PeriodicalIF":0.0,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74994415","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 : 2019-06-08DOI: 10.1109/ACEEE.2019.8816993
J. Gu, Chun-Hung Liu, Ming-Ta Yang, Dai-Ling Tsai
With the increasing demand for electricity as well as the rise of renewable energy resources connecting to the power grid, the bidirectional fault current contributed by renewable energy increases the complexity of power system and impacts to the grid stability when connected. Smart grid concepts have been applied to the power systems to tackle those issues aforementioned. Smart grid is a system which relies importantly on automation in substations using IEDs with the IEC 61850 standard. In this paper, IEDs information models were defined and configured for test based on substation protection strategy and control logic. As mentioned earlier, renewable energy resources are critical and important in Smart Grid, therefore, this paper explicitly explained how several multi-vender wind turbines were integrated by the Gateway that converted the wind turbines information from OPC to IEC 61400-25 information models. An IEC 61850 based SCADA system was developed.
{"title":"Research on Integrating Wind Turbine into Intelligent IEC 61850 Substation Automation","authors":"J. Gu, Chun-Hung Liu, Ming-Ta Yang, Dai-Ling Tsai","doi":"10.1109/ACEEE.2019.8816993","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816993","url":null,"abstract":"With the increasing demand for electricity as well as the rise of renewable energy resources connecting to the power grid, the bidirectional fault current contributed by renewable energy increases the complexity of power system and impacts to the grid stability when connected. Smart grid concepts have been applied to the power systems to tackle those issues aforementioned. Smart grid is a system which relies importantly on automation in substations using IEDs with the IEC 61850 standard. In this paper, IEDs information models were defined and configured for test based on substation protection strategy and control logic. As mentioned earlier, renewable energy resources are critical and important in Smart Grid, therefore, this paper explicitly explained how several multi-vender wind turbines were integrated by the Gateway that converted the wind turbines information from OPC to IEC 61400-25 information models. An IEC 61850 based SCADA system was developed.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"9 1","pages":"54-58"},"PeriodicalIF":0.0,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84081637","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 : 2019-06-08DOI: 10.1109/ACEEE.2019.8817051
Shichao Jia, Zhiguo Sun, Luhan Chen, Menglu Wang, R. Feng
Using sodium humate as carrier and potassium carbonate as precursor as a new absorbent for cyclic absorption of CO2, the absorption property and theory of CO2 were explored. The effects of potassium carbonate loading rate, absorption temperature, absorption time, absorbant quality and cycle times on the absorption quantity of CO2 were studied. The surface morphology characteristics of the absorbents were observed by SEM, and the optimum operating conditions for the absorption of CO2 were studied and analyzed. The experimental results show that the addition of sodium humate significantly improves the absorption performance of potassium carbonate to CO2. The optimum loading rate is 50%, the most appropriate reaction temperature is 60, and the best absorption time is 15 minutes.
{"title":"Characteristics of CO2 Circulating Absorption by Sodium Humate and Potassium Carbonate","authors":"Shichao Jia, Zhiguo Sun, Luhan Chen, Menglu Wang, R. Feng","doi":"10.1109/ACEEE.2019.8817051","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8817051","url":null,"abstract":"Using sodium humate as carrier and potassium carbonate as precursor as a new absorbent for cyclic absorption of CO2, the absorption property and theory of CO2 were explored. The effects of potassium carbonate loading rate, absorption temperature, absorption time, absorbant quality and cycle times on the absorption quantity of CO2 were studied. The surface morphology characteristics of the absorbents were observed by SEM, and the optimum operating conditions for the absorption of CO2 were studied and analyzed. The experimental results show that the addition of sodium humate significantly improves the absorption performance of potassium carbonate to CO2. The optimum loading rate is 50%, the most appropriate reaction temperature is 60, and the best absorption time is 15 minutes.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"136 1","pages":"30-34"},"PeriodicalIF":0.0,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77478322","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 : 2019-06-08DOI: 10.1109/ACEEE.2019.8816903
Liya Ma, Bin Zhou, L. Yuan
With the development of smart grid and global energy internet, new information and communication technologies such as big data, cloud computing, Internet of Things and broadband wireless have become the key core technologies of smart grid. As a key node in smart grid, the security of smart substation has a direct impact on the overall security of power system. This paper by analyzing the potential safety hazards that intelligent substations are vulnerable to at present, and enumerates the safety protection technologies applied nowadays, based on the fact that the station control layer of the intelligent substation security protection system is not directly monitored, this paper discusses the application of network security technology in the internal network monitoring of the station control layer of the intelligent substation, and puts forward the concrete scheme.
{"title":"Research on Safety Monitoring Technology of Intelligent Substation Intranet","authors":"Liya Ma, Bin Zhou, L. Yuan","doi":"10.1109/ACEEE.2019.8816903","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816903","url":null,"abstract":"With the development of smart grid and global energy internet, new information and communication technologies such as big data, cloud computing, Internet of Things and broadband wireless have become the key core technologies of smart grid. As a key node in smart grid, the security of smart substation has a direct impact on the overall security of power system. This paper by analyzing the potential safety hazards that intelligent substations are vulnerable to at present, and enumerates the safety protection technologies applied nowadays, based on the fact that the station control layer of the intelligent substation security protection system is not directly monitored, this paper discusses the application of network security technology in the internal network monitoring of the station control layer of the intelligent substation, and puts forward the concrete scheme.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"3 1","pages":"79-83"},"PeriodicalIF":0.0,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85022703","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 : 2019-06-01DOI: 10.1109/ACEEE.2019.8816907
Zhang Chuncheng, Z. Lili, Liu Qing
China's economy has shifted from high-speed growth to high-quality growth. Supply-side structural reform, as a main line of economic transformation, will have profound impacts on economic growth rate, industrial structure, and growth momentum. In-depth analysis of the impact of supply-side structural reform, scientific research and analysis of electricity demand growth trends, has profound implications for the development of the electricity industry. By building a electricity demand forecasting model adapting to supply-side structural reform and forecasting China's electricity demand, China's electricity demand is expected to continue to grow steadily. In 2035 and 2050, its electricity demand will reach 1245 GWh to 1324 GWh and 1409 GWh to 1534 GWh. The tertiary industry and residential electricity demand will become the main driving force for the growth of total electricity demand. In key industries, the contribution rate of manufacturing industry exceeds high energy consumption industry.
{"title":"Research on Electricity Demand Forecasting Model and Application of China Adapting to Supply-Side Structural Reform","authors":"Zhang Chuncheng, Z. Lili, Liu Qing","doi":"10.1109/ACEEE.2019.8816907","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816907","url":null,"abstract":"China's economy has shifted from high-speed growth to high-quality growth. Supply-side structural reform, as a main line of economic transformation, will have profound impacts on economic growth rate, industrial structure, and growth momentum. In-depth analysis of the impact of supply-side structural reform, scientific research and analysis of electricity demand growth trends, has profound implications for the development of the electricity industry. By building a electricity demand forecasting model adapting to supply-side structural reform and forecasting China's electricity demand, China's electricity demand is expected to continue to grow steadily. In 2035 and 2050, its electricity demand will reach 1245 GWh to 1324 GWh and 1409 GWh to 1534 GWh. The tertiary industry and residential electricity demand will become the main driving force for the growth of total electricity demand. In key industries, the contribution rate of manufacturing industry exceeds high energy consumption industry.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"44 1","pages":"69-73"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82775636","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 : 2019-06-01DOI: 10.1109/ACEEE.2019.8816955
Ruan Jin-jin, Wang Shihuai, Wang Zhengyang, Mei Yuting
As a significant part of total energy consumption, predictive modeling of residential energy use is critically important and highly desired. Previous efforts have proposed a number of statistical models for the prediction of residential energy consumption, while the accuracy and predictability of different models are still highly uncertain. In this study, we explore the effective temporal scale of residential energy use prediction, using the-state-of-the-art machine learning techniques: a fully connected Artificial Neutral Network (ANN) and a Recurrent Neural Network (RNN). For RNN modeling, the Long-Short-Term-Memory (LSTM) realization is employed. We find that ANN model in general has higher predictability than LSTM. Specifically, neither ANN nor LSTM is able to well predict high frequency fluctuation of residential energy use (~10 minutes) due to short-term random error. While, across a relatively longer time frame (from 24 hours to 48 hours), ANN model performs reasonably well and works much better than LSTM. From the perspective of dominating factors, room temperature and humidity are the most relevant ones to predict the building residential energy use. This work will facilitate the energy use prediction and decision-making within the framework of smart grid.
{"title":"Residential Energy Use Prediction across different Time Scales with Advanced Machine Learning Techniques","authors":"Ruan Jin-jin, Wang Shihuai, Wang Zhengyang, Mei Yuting","doi":"10.1109/ACEEE.2019.8816955","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816955","url":null,"abstract":"As a significant part of total energy consumption, predictive modeling of residential energy use is critically important and highly desired. Previous efforts have proposed a number of statistical models for the prediction of residential energy consumption, while the accuracy and predictability of different models are still highly uncertain. In this study, we explore the effective temporal scale of residential energy use prediction, using the-state-of-the-art machine learning techniques: a fully connected Artificial Neutral Network (ANN) and a Recurrent Neural Network (RNN). For RNN modeling, the Long-Short-Term-Memory (LSTM) realization is employed. We find that ANN model in general has higher predictability than LSTM. Specifically, neither ANN nor LSTM is able to well predict high frequency fluctuation of residential energy use (~10 minutes) due to short-term random error. While, across a relatively longer time frame (from 24 hours to 48 hours), ANN model performs reasonably well and works much better than LSTM. From the perspective of dominating factors, room temperature and humidity are the most relevant ones to predict the building residential energy use. This work will facilitate the energy use prediction and decision-making within the framework of smart grid.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"1 1","pages":"20-24"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90988126","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 : 2019-06-01DOI: 10.1109/ACEEE.2019.8816895
Muhammad Azzam Ismail, Karam Mustafa Al-Obaidi
This paper discusses an exploration in algae application as a sun shading device for buildings. Four basic algae photobioreactors were constructed to investigate the effectiveness of Chlorella species to reduce direct sunlight transmission and solar heat gain in the Tropical climate of Kuala Lumpur. From the experiment, algae flat panel photobioreactor with direct carbon dioxide supply manage to reduce up to 44.9% of heat gain due to solar radiation on average. The overall solar transmission was also reduced to only 25% on average. These indicate that algae have the potential to be used as sun shading material for buildings.
{"title":"Exploration in Using Algae to Enhance Indoor Environment in the Tropical Climate","authors":"Muhammad Azzam Ismail, Karam Mustafa Al-Obaidi","doi":"10.1109/ACEEE.2019.8816895","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8816895","url":null,"abstract":"This paper discusses an exploration in algae application as a sun shading device for buildings. Four basic algae photobioreactors were constructed to investigate the effectiveness of Chlorella species to reduce direct sunlight transmission and solar heat gain in the Tropical climate of Kuala Lumpur. From the experiment, algae flat panel photobioreactor with direct carbon dioxide supply manage to reduce up to 44.9% of heat gain due to solar radiation on average. The overall solar transmission was also reduced to only 25% on average. These indicate that algae have the potential to be used as sun shading material for buildings.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"1 1","pages":"25-29"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89584365","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 : 2019-06-01DOI: 10.1109/ACEEE.2019.8817007
Nurdan Yıldırım, Hacer Şekerci
Buildings and industry cover the largest share of total energy consumption. When the distribution of energy consumption in buildings is examined, it is seen that the most important part is air conditioning systems. Therefore, improving the energy consumption of air conditioning systems or using more efficient systems have great importance. The factors affecting the energy consumption of air conditioning systems are system type, capacity, design, operation and climate conditions and user interventions.Yasar University is the first University having the TS EN ISO 50001:2011 Energy Management System Standard Certification in Turkey. Since the buildings and their systems are different in the Campus, the new performance indicators are necessary to evaluate energy performance of the buildings. In this regard, addition to existing energy metering system, thermal comfort measurement devices were installed in some classes and offices in the campus.In this study, performance assessment of two buildings in the Campus of Yasar University has been done based on their specific energy consumption and provided thermal comfort to the classes. Thus, the relationship between energy consumption and thermal comfort in buildings is revealed and suggestions are presented to increase energy efficiency.
建筑和工业在总能源消耗中所占的份额最大。在考察建筑能耗的分布时，可以看出最重要的部分是空调系统。因此，提高空调系统的能耗或使用更高效的系统具有重要意义。影响空调系统能耗的因素有系统类型、容量、设计、运行和气候条件以及用户干预等。亚萨尔大学是土耳其第一所获得TS EN ISO 50001:2011能源管理体系标准认证的大学。由于校园内建筑物及其系统各不相同，因此有必要采用新的性能指标来评价建筑物的能源性能。为此，除了现有的能源计量系统外，在校园的部分班级和办公室安装了热舒适测量装置。本研究对Yasar大学校园内的两栋建筑进行了性能评估，根据其具体能耗，并为班级提供热舒适。从而揭示了建筑能耗与热舒适之间的关系，并提出了提高建筑能效的建议。
{"title":"Performance Assessment of University Buildings Based on Provided Thermal Comfort","authors":"Nurdan Yıldırım, Hacer Şekerci","doi":"10.1109/ACEEE.2019.8817007","DOIUrl":"https://doi.org/10.1109/ACEEE.2019.8817007","url":null,"abstract":"Buildings and industry cover the largest share of total energy consumption. When the distribution of energy consumption in buildings is examined, it is seen that the most important part is air conditioning systems. Therefore, improving the energy consumption of air conditioning systems or using more efficient systems have great importance. The factors affecting the energy consumption of air conditioning systems are system type, capacity, design, operation and climate conditions and user interventions.Yasar University is the first University having the TS EN ISO 50001:2011 Energy Management System Standard Certification in Turkey. Since the buildings and their systems are different in the Campus, the new performance indicators are necessary to evaluate energy performance of the buildings. In this regard, addition to existing energy metering system, thermal comfort measurement devices were installed in some classes and offices in the campus.In this study, performance assessment of two buildings in the Campus of Yasar University has been done based on their specific energy consumption and provided thermal comfort to the classes. Thus, the relationship between energy consumption and thermal comfort in buildings is revealed and suggestions are presented to increase energy efficiency.","PeriodicalId":6679,"journal":{"name":"2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)","volume":"157 1","pages":"7-11"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90982178","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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