Pub Date : 2013-11-14DOI: 10.1109/EESMS.2013.6661694
S. Ferrari, M. Lazzaroni, V. Piuri, A. Salman, L. Cristaldi, M. Faifer
The solar panel, which transforms the energy carried by the light in electricity, is a reliable component of a photovoltaic (PV) system, but its efficiency depends on several factors, such as its orientation, its working temperature, and its tidiness. Since maintenance is an expensive activity, a careful evaluation of the degradation of the panel and the resulting production loss has to be carried out. Besides, an accurate estimation of the potential production with respect to the weather condition requires expensive instruments and skilled operators. In this paper, we propose an alternative approach based on the prediction of the potential production based on a public weather station in the nearby of the considered plant. Several computational intelligence paradigms as well as several prediction setups are here challenged and compared.
{"title":"A data approximation based approach to photovoltaic systems maintenance","authors":"S. Ferrari, M. Lazzaroni, V. Piuri, A. Salman, L. Cristaldi, M. Faifer","doi":"10.1109/EESMS.2013.6661694","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661694","url":null,"abstract":"The solar panel, which transforms the energy carried by the light in electricity, is a reliable component of a photovoltaic (PV) system, but its efficiency depends on several factors, such as its orientation, its working temperature, and its tidiness. Since maintenance is an expensive activity, a careful evaluation of the degradation of the panel and the resulting production loss has to be carried out. Besides, an accurate estimation of the potential production with respect to the weather condition requires expensive instruments and skilled operators. In this paper, we propose an alternative approach based on the prediction of the potential production based on a public weather station in the nearby of the considered plant. Several computational intelligence paradigms as well as several prediction setups are here challenged and compared.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127260612","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661707
R. Rajesh, Sabarigirish Vijayakumar, M. Srinivasan, Vineeth Vijayaraghavan
This paper presents a low-cost enhanced solution to improve the quality of service at the tail-end of the grid-connected network in India where supply is sporadic or highly interrupted. The solution is a renewable energy based microgrid system that augments the sporadic grid power supply and uses a cloud based intelligence-enabled system to provide reliable supply to consumer at the tail-end of the grid. In this paper we propose, a Microgrid Control Centre (MGCC) that uses a low-cost PIC controller which handles the load management based on dynamic or scheduled inputs communicated to the MGCC through a Microgrid Communication Centre (MGComC). The MGCC receives this input from the cloud, derived from computations performed on the various parameters by rule engine. Such parameters include weather, availability of renewable generation sources, feedstock for biogas etc. Additionally, MGComC performs the data acquisition and the communication to the cloud. This communication is made possible through a GPRS shield for the MGComC microcontroller. The Village Weather Station (VWS) monitors weather related permanents that are critical to the forecasting of renewable energy generation. These weather parameters are sent from the VWS to the MGComC. The data acquired is committed to the cloud where the analytics are performed.
{"title":"An avant garde argumentation of quality-of-service via low-cost cloud-based smart microgrid solution: A rural India perspective","authors":"R. Rajesh, Sabarigirish Vijayakumar, M. Srinivasan, Vineeth Vijayaraghavan","doi":"10.1109/EESMS.2013.6661707","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661707","url":null,"abstract":"This paper presents a low-cost enhanced solution to improve the quality of service at the tail-end of the grid-connected network in India where supply is sporadic or highly interrupted. The solution is a renewable energy based microgrid system that augments the sporadic grid power supply and uses a cloud based intelligence-enabled system to provide reliable supply to consumer at the tail-end of the grid. In this paper we propose, a Microgrid Control Centre (MGCC) that uses a low-cost PIC controller which handles the load management based on dynamic or scheduled inputs communicated to the MGCC through a Microgrid Communication Centre (MGComC). The MGCC receives this input from the cloud, derived from computations performed on the various parameters by rule engine. Such parameters include weather, availability of renewable generation sources, feedstock for biogas etc. Additionally, MGComC performs the data acquisition and the communication to the cloud. This communication is made possible through a GPRS shield for the MGComC microcontroller. The Village Weather Station (VWS) monitors weather related permanents that are critical to the forecasting of renewable energy generation. These weather parameters are sent from the VWS to the MGComC. The data acquired is committed to the cloud where the analytics are performed.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130139810","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661702
F. Bruschetta, D. Zonta, C. Cappello, R. Zandonini, M. Pozzi, B. Glisic, D. Inaudi, D. Posenato, Ming L. Wang, Y. Zhao
This contribution illustrates an application of Bayesian logic to monitoring data analysis and structural condition state inference. The case study is a cable-stayed bridge 260 m long spanning the Adige River ten kilometers north of the town of Trento, Italy. It is a statically indeterminate structure, consisting of a steel-concrete composite deck, supported by 12 stay cables. Structural redundancy, possible relaxation losses and an as-built condition differing from design, suggest that longterm load redistribution between cables can be expected. To monitor load redistribution, the owner decided to install a monitoring system that combines built-on-site elasto-magnetic and fiber-optic sensors. In this article, we discuss a rational way to improve the accuracy of the load variation, estimated using the elasto-magnetic sensors, taking advantage of the fiber-optic sensors information. More specifically, we use a multi-sensor Bayesian data fusion approach, which combines the information from the two sensing systems with the prior knowledge including design information and outcomes of laboratory calibration. Using the data acquired to date, we demonstrate that combining the two measurements allows a more accurate estimate of the cable load, to better than 50 kN.
{"title":"Fusion of monitoring data from cable-stayed bridge","authors":"F. Bruschetta, D. Zonta, C. Cappello, R. Zandonini, M. Pozzi, B. Glisic, D. Inaudi, D. Posenato, Ming L. Wang, Y. Zhao","doi":"10.1109/EESMS.2013.6661702","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661702","url":null,"abstract":"This contribution illustrates an application of Bayesian logic to monitoring data analysis and structural condition state inference. The case study is a cable-stayed bridge 260 m long spanning the Adige River ten kilometers north of the town of Trento, Italy. It is a statically indeterminate structure, consisting of a steel-concrete composite deck, supported by 12 stay cables. Structural redundancy, possible relaxation losses and an as-built condition differing from design, suggest that longterm load redistribution between cables can be expected. To monitor load redistribution, the owner decided to install a monitoring system that combines built-on-site elasto-magnetic and fiber-optic sensors. In this article, we discuss a rational way to improve the accuracy of the load variation, estimated using the elasto-magnetic sensors, taking advantage of the fiber-optic sensors information. More specifically, we use a multi-sensor Bayesian data fusion approach, which combines the information from the two sensing systems with the prior knowledge including design information and outcomes of laboratory calibration. Using the data acquired to date, we demonstrate that combining the two measurements allows a more accurate estimate of the cable load, to better than 50 kN.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115312670","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661696
L. Pitt, P. Green, B. Lennox
This paper describes a sensor network that has been designed and deployed to monitor the environmental conditions within a large multi-use building. The conditions measured across this network include temperature, humidity, light levels, ambient sound level, room occupancy and an informal survey of occupant comfort level. The nodes were designed to be low cost with the intention that a significant number of them could be deployed around large buildings. In the initial study described in this paper, a network comprising 17 prototypes nodes has been deployed in a multi-use university building. The sensor network is Ethernet based and uses the building's existing infrastructure for communication with a central server which stores the recorded data. Preliminary analysis of the data collected from this sensor network over a period of 10 months combined with data from a local meteorological station and data from the building's fiscal energy meters is presented. The overall goal of the project is to use the data from the network to find more energy efficient methods of heating the building while maintaining occupant comfort. In particular, it is anticipated that the data collected from the network will identify parameters, other than temperature, which are indicative of occupant comfort. To determine this, the current work is focussed on building a classifier to predict occupant comfort level, given the data measured by the sensor nodes combined with data from a local weather station and the building's smart energy meters. Analysis of the identified model should indicate which variables most influence occupant comfort. The project also aims to produce a dataset which may be used for future research and aid design of sensor networks.
{"title":"A sensor network for predicting and maintaining occupant comfort","authors":"L. Pitt, P. Green, B. Lennox","doi":"10.1109/EESMS.2013.6661696","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661696","url":null,"abstract":"This paper describes a sensor network that has been designed and deployed to monitor the environmental conditions within a large multi-use building. The conditions measured across this network include temperature, humidity, light levels, ambient sound level, room occupancy and an informal survey of occupant comfort level. The nodes were designed to be low cost with the intention that a significant number of them could be deployed around large buildings. In the initial study described in this paper, a network comprising 17 prototypes nodes has been deployed in a multi-use university building. The sensor network is Ethernet based and uses the building's existing infrastructure for communication with a central server which stores the recorded data. Preliminary analysis of the data collected from this sensor network over a period of 10 months combined with data from a local meteorological station and data from the building's fiscal energy meters is presented. The overall goal of the project is to use the data from the network to find more energy efficient methods of heating the building while maintaining occupant comfort. In particular, it is anticipated that the data collected from the network will identify parameters, other than temperature, which are indicative of occupant comfort. To determine this, the current work is focussed on building a classifier to predict occupant comfort level, given the data measured by the sensor nodes combined with data from a local weather station and the building's smart energy meters. Analysis of the identified model should indicate which variables most influence occupant comfort. The project also aims to produce a dataset which may be used for future research and aid design of sensor networks.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129353421","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661699
Riccardi Umberto, Tammaro Umberto, Capuano Paolo
Global Positioning System (GPS) has demonstrated its ability to monitor the atmospheric water vapor content with an accuracy comparable to other techniques and means of measurements (e.g. radio soundings, microwave radiometers), even with good time resolution and under all meteorological conditions. The nowadays extensive use of permanent GPS stations, operating for geodetic purposes, offers a tool for a dense and reliable remote sensing of atmospheric water vapor. Here the tropospheric delay observed on some continuous GPS (CGPS) stations of the Italian GPS network (RING) is analyzed and its time evolution is discussed. We focus mainly on the study of the wet component of the atmospheric delay of the GPS signals and the computation of the precipitable water by using co-located GPS and meteorological stations. The results are described and discussed in comparison with different meteorological observations collected during extreme weather conditions impacting the Campania region.
{"title":"Evaluation of the atmospheric precipitable water at local scale during extreme weather using ground-based CGPS measurements","authors":"Riccardi Umberto, Tammaro Umberto, Capuano Paolo","doi":"10.1109/EESMS.2013.6661699","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661699","url":null,"abstract":"Global Positioning System (GPS) has demonstrated its ability to monitor the atmospheric water vapor content with an accuracy comparable to other techniques and means of measurements (e.g. radio soundings, microwave radiometers), even with good time resolution and under all meteorological conditions. The nowadays extensive use of permanent GPS stations, operating for geodetic purposes, offers a tool for a dense and reliable remote sensing of atmospheric water vapor. Here the tropospheric delay observed on some continuous GPS (CGPS) stations of the Italian GPS network (RING) is analyzed and its time evolution is discussed. We focus mainly on the study of the wet component of the atmospheric delay of the GPS signals and the computation of the precipitable water by using co-located GPS and meteorological stations. The results are described and discussed in comparison with different meteorological observations collected during extreme weather conditions impacting the Campania region.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122422535","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661698
G. Fabbrocino, C. Rainieri
Safety and operation of existing critical structures hit by natural hazards are key aspects of the resilience of a developed country, especially in highly urbanized areas. In this context, health facilities (hospitals) are required to stand under operation to frequent earthquakes and suffer limited damage. Modern seismic codes reflect such objectives and provide specific requirements to both structural and non-structural components. As a consequence, performance and safety requirements do not apply only to primary structural components, but also to electro-mechanical, medical and other equipment. In the present paper, a review of the health facilities primary vulnerability factors and of the issues related to a rational and objective assessment of performance and health state of structural and non-structural components is presented. Strategies and recommendations for a sustainable implementation of Smart Health Facilities (SHF) according to the AtoEparadigm (Accuracy, Budget compliance, Computational burden, Durability, Ease of use) on a long term basis, are discussed, taking into account the specific requirements and characteristics of the different subsystems in a hospital. Key aspects of the system implementation are also presented in the light of advanced operational modal analysis techniques for automated data reduction.
{"title":"Some remarks on the design of smart SHM systems for advanced seismic protection of health facilities","authors":"G. Fabbrocino, C. Rainieri","doi":"10.1109/EESMS.2013.6661698","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661698","url":null,"abstract":"Safety and operation of existing critical structures hit by natural hazards are key aspects of the resilience of a developed country, especially in highly urbanized areas. In this context, health facilities (hospitals) are required to stand under operation to frequent earthquakes and suffer limited damage. Modern seismic codes reflect such objectives and provide specific requirements to both structural and non-structural components. As a consequence, performance and safety requirements do not apply only to primary structural components, but also to electro-mechanical, medical and other equipment. In the present paper, a review of the health facilities primary vulnerability factors and of the issues related to a rational and objective assessment of performance and health state of structural and non-structural components is presented. Strategies and recommendations for a sustainable implementation of Smart Health Facilities (SHF) according to the AtoEparadigm (Accuracy, Budget compliance, Computational burden, Durability, Ease of use) on a long term basis, are discussed, taking into account the specific requirements and characteristics of the different subsystems in a hospital. Key aspects of the system implementation are also presented in the light of advanced operational modal analysis techniques for automated data reduction.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"18 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125886596","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661706
P. Ferrari, A. Flammini, S. Rinaldi, E. Sisinni, A. Vezzoli
In the last years, the increasing focus on energy savings is the key factor in the transformation of the legacy distribution grid toward the so called smart grid. One of the most evident, it is the wide diffusion, in some countries, of smart metering technologies for monitoring of customer electrical consumption. The proven benefits of this technology suggested to the Italian regulative agency the adoption of similar smart solutions for water and gas meters. Currently, the transmission technology which seems to satisfy the strict constraints of power consumption and wide range is the wM-bus operating in different frequency bands, including the recently standardized portion of the spectrum around 169 MHz. This technology provides a low-power and reliable communication channel, but it is not integrated with the IP-based protocols. This may represent a limit since all the ongoing standardization efforts consider the IP suite the unifying framework for the very different network tiers of a Smart Grid. In this paper, the mapping of IPv6 protocol, over wM-bus has been proposed and evaluated in a dedicated simulation environment. The results confirm the feasibility of the proposed approach: the transmission of a typical DLMS/COSEM packet takes only few additional resources compared to wM-bus solution, although the medium access technique of wM-bus decreases the communication performance.
{"title":"Toward smart metering application exploiting IPv6 over wM-bus","authors":"P. Ferrari, A. Flammini, S. Rinaldi, E. Sisinni, A. Vezzoli","doi":"10.1109/EESMS.2013.6661706","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661706","url":null,"abstract":"In the last years, the increasing focus on energy savings is the key factor in the transformation of the legacy distribution grid toward the so called smart grid. One of the most evident, it is the wide diffusion, in some countries, of smart metering technologies for monitoring of customer electrical consumption. The proven benefits of this technology suggested to the Italian regulative agency the adoption of similar smart solutions for water and gas meters. Currently, the transmission technology which seems to satisfy the strict constraints of power consumption and wide range is the wM-bus operating in different frequency bands, including the recently standardized portion of the spectrum around 169 MHz. This technology provides a low-power and reliable communication channel, but it is not integrated with the IP-based protocols. This may represent a limit since all the ongoing standardization efforts consider the IP suite the unifying framework for the very different network tiers of a Smart Grid. In this paper, the mapping of IPv6 protocol, over wM-bus has been proposed and evaluated in a dedicated simulation environment. The results confirm the feasibility of the proposed approach: the transmission of a typical DLMS/COSEM packet takes only few additional resources compared to wM-bus solution, although the medium access technique of wM-bus decreases the communication performance.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126370038","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661693
M. Rossi, D. Brunelli
The introduction of demand side Advanced Metering Infrastructures in power distribution grids, allows the collection of huge amount of valuable information about energy usage. Utilities are already exploiting such information through Demand Side Management and Forecasting Algorithms that have been proved to help reducing the overall electricity demand. To push further this “green” trend toward the realization of Smart Grid, we propose to apply the forecasting techniques also to the residential users electricity demand. Exponential smoothing forecasting has been demonstrated to be effective to analyze and to provide trends for higher scale (National or Regional level) of the demand. We tested and moved the approach to residential users and assessed the performance when data have high time variability. Two different datasets have been used and the accuracy of the forecasting has been compared with the performance of the same predictors when national level data are used. Our tests show encouraging results, even if the prediction's accuracy is much lower when dealing with single users and the importance of the pre-filtering of the collected data is fundamental.
{"title":"Electricity demand forecasting of single residential units","authors":"M. Rossi, D. Brunelli","doi":"10.1109/EESMS.2013.6661693","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661693","url":null,"abstract":"The introduction of demand side Advanced Metering Infrastructures in power distribution grids, allows the collection of huge amount of valuable information about energy usage. Utilities are already exploiting such information through Demand Side Management and Forecasting Algorithms that have been proved to help reducing the overall electricity demand. To push further this “green” trend toward the realization of Smart Grid, we propose to apply the forecasting techniques also to the residential users electricity demand. Exponential smoothing forecasting has been demonstrated to be effective to analyze and to provide trends for higher scale (National or Regional level) of the demand. We tested and moved the approach to residential users and assessed the performance when data have high time variability. Two different datasets have been used and the accuracy of the forecasting has been compared with the performance of the same predictors when national level data are used. Our tests show encouraging results, even if the prediction's accuracy is much lower when dealing with single users and the importance of the pre-filtering of the collected data is fundamental.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129415905","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661704
M. Cozzini, S. Dalpez, A. Bozzoli, D. Macii
Ground source heat pumps offer a technology for the thermal conditioning of buildings which is both renewable and economically competitive against fuel-based solutions. However, in spite of the good performances already proved by several studies, the optimal operation and the long-term sustainability of a specific geothermal plant is always affected by a certain degree of uncertainty. The installation of accurate and stable temperature monitoring systems within geothermal boreholes would hence contribute significantly to increase the confidence towards this kind of technology. Unfortunately, existing temperature acquisition systems can be expensive and difficult to deploy, especially in small (i.e. domestic) plants. In this paper, first the general requirements of this kind of monitoring systems are described, in order to find a reasonable tradeoff between measurement accuracy and installation costs. Then, two different solutions, one based on Pt100 sensors, the other based on a more innovative 1-Wire® system are presented and compared. Finally, some meaningful experimental results are reported and commented.
{"title":"A fine-grained temperature monitoring system for sustainable geothermal boreholes","authors":"M. Cozzini, S. Dalpez, A. Bozzoli, D. Macii","doi":"10.1109/EESMS.2013.6661704","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661704","url":null,"abstract":"Ground source heat pumps offer a technology for the thermal conditioning of buildings which is both renewable and economically competitive against fuel-based solutions. However, in spite of the good performances already proved by several studies, the optimal operation and the long-term sustainability of a specific geothermal plant is always affected by a certain degree of uncertainty. The installation of accurate and stable temperature monitoring systems within geothermal boreholes would hence contribute significantly to increase the confidence towards this kind of technology. Unfortunately, existing temperature acquisition systems can be expensive and difficult to deploy, especially in small (i.e. domestic) plants. In this paper, first the general requirements of this kind of monitoring systems are described, in order to find a reasonable tradeoff between measurement accuracy and installation costs. Then, two different solutions, one based on Pt100 sensors, the other based on a more innovative 1-Wire® system are presented and compared. Finally, some meaningful experimental results are reported and commented.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128017827","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 : 2013-11-14DOI: 10.1109/EESMS.2013.6661701
U. Tammaro, M. Dolce, G. Brandi, A. D’Alessandro, F. Obrizzo, S. Petrosino, P. Cusano, D. Galluzzo, C. Bonanno, D. Guizzetti, M. Magnani
The paper presents an experimental study carried out in 2012 during the drilling activity for a pilot hole performed in the framework of the Campi Flegrei Deep Drilling Project. A monitoring network has been installed to test and choose a suitable ground deformation system for the subsequent deep drilling of about 3.5 km in the Campi Flegrei Caldera (Italy). We describe the seismic network installed to characterize the structure of the pilot hole area and the ground deformation monitoring system chosen for the small drilling area. Data analysis and results obtained indicate that Total Station is a suitable tool for this case.
{"title":"Experimental study for evaluation of a suitable ground displacement monitoring system: Pilot hole Campi Flegrei Deep Drilling Project case","authors":"U. Tammaro, M. Dolce, G. Brandi, A. D’Alessandro, F. Obrizzo, S. Petrosino, P. Cusano, D. Galluzzo, C. Bonanno, D. Guizzetti, M. Magnani","doi":"10.1109/EESMS.2013.6661701","DOIUrl":"https://doi.org/10.1109/EESMS.2013.6661701","url":null,"abstract":"The paper presents an experimental study carried out in 2012 during the drilling activity for a pilot hole performed in the framework of the Campi Flegrei Deep Drilling Project. A monitoring network has been installed to test and choose a suitable ground deformation system for the subsequent deep drilling of about 3.5 km in the Campi Flegrei Caldera (Italy). We describe the seismic network installed to characterize the structure of the pilot hole area and the ground deformation monitoring system chosen for the small drilling area. Data analysis and results obtained indicate that Total Station is a suitable tool for this case.","PeriodicalId":385879,"journal":{"name":"2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125321105","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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