Pub Date : 2016-10-30DOI: 10.1109/ISC2.2016.7580826
H. Du, P. Jones, Bobo Ng
Access to reliable site-specific near future weather data is crucial for forecasting temporally-dynamic building energy demand and consumption, and determining the state of on-site renewable energy generation. Often there is a missing link between weather forecast providers and building energy management systems. This short paper discusses the potential to conduct building performance modelling using localized high resolution weather forecast freely available from the United Kingdom Met Office DataPoint service. It creates a great opportunity for building performance simulation professionals and building energy managers to re-use site-specific high resolution weather forecast data to predict near future building performance at both individual building and city scale. In this paper, authors have developed a framework of forecasting near future building performance and a Matlab script to automatically gather observed weather data from 140 weather stations and weather forecasts for nearly 6,000 locations in the UK. To understand the reliability of weather forecast, three-hourly forecasts of temperature, relative humidity, wind speed and wind direction are compared with observations from weather stations. This provides evidences to use the next 24-hour forecast to predict dynamic building energy demand and consumption, and determine the on-site renewable energy generation output. Because of the high accuracy of forecast, the rolling forecast can be recorded on daily basis to construct weather files for locations that do not have weather stations. This will increase current 14 locations of the CIBSE weather data to nearly 6,000 locations covering population centers, sporting venues and tourist attractions.
{"title":"Understanding the reliability of localized near future weather data for building performance prediction in the UK","authors":"H. Du, P. Jones, Bobo Ng","doi":"10.1109/ISC2.2016.7580826","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580826","url":null,"abstract":"Access to reliable site-specific near future weather data is crucial for forecasting temporally-dynamic building energy demand and consumption, and determining the state of on-site renewable energy generation. Often there is a missing link between weather forecast providers and building energy management systems. This short paper discusses the potential to conduct building performance modelling using localized high resolution weather forecast freely available from the United Kingdom Met Office DataPoint service. It creates a great opportunity for building performance simulation professionals and building energy managers to re-use site-specific high resolution weather forecast data to predict near future building performance at both individual building and city scale. In this paper, authors have developed a framework of forecasting near future building performance and a Matlab script to automatically gather observed weather data from 140 weather stations and weather forecasts for nearly 6,000 locations in the UK. To understand the reliability of weather forecast, three-hourly forecasts of temperature, relative humidity, wind speed and wind direction are compared with observations from weather stations. This provides evidences to use the next 24-hour forecast to predict dynamic building energy demand and consumption, and determine the on-site renewable energy generation output. Because of the high accuracy of forecast, the rolling forecast can be recorded on daily basis to construct weather files for locations that do not have weather stations. This will increase current 14 locations of the CIBSE weather data to nearly 6,000 locations covering population centers, sporting venues and tourist attractions.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117271667","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580779
Garvita Bajaj, R. Agarwal, Georgios Bouloukakis, Pushpendra Singh, N. Georgantas, V. Issarny
Public transportation is essential for sustainable and economical development of cities. Several transport organizations aim to provide service information to commuters through web and mobile apps. This information includes possible routes between two stations, estimated travel and arrival times, and real-time updates about traffic conditions. However, this information is currently not personalized according to commuter preferences. In this work, we emphasize the need for personalized transit service information to commuters and present a vision of our work in this direction. Our final goal is to develop a fully-functional personalized route recommendation system for public transit commuters. This involves identifying commuter preferences and suitable recommendation techniques, and developing a platform to communicate this information to the commuters. We identify the requirements for the development of this platform, and propose an architecture for our system. As a proof of concept, we present an Android participatory sensing application - MetroCognition, which acquires feedback on convenience experienced by commuters in public transit.
{"title":"Towards building real-time, convenient route recommendation system for public transit","authors":"Garvita Bajaj, R. Agarwal, Georgios Bouloukakis, Pushpendra Singh, N. Georgantas, V. Issarny","doi":"10.1109/ISC2.2016.7580779","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580779","url":null,"abstract":"Public transportation is essential for sustainable and economical development of cities. Several transport organizations aim to provide service information to commuters through web and mobile apps. This information includes possible routes between two stations, estimated travel and arrival times, and real-time updates about traffic conditions. However, this information is currently not personalized according to commuter preferences. In this work, we emphasize the need for personalized transit service information to commuters and present a vision of our work in this direction. Our final goal is to develop a fully-functional personalized route recommendation system for public transit commuters. This involves identifying commuter preferences and suitable recommendation techniques, and developing a platform to communicate this information to the commuters. We identify the requirements for the development of this platform, and propose an architecture for our system. As a proof of concept, we present an Android participatory sensing application - MetroCognition, which acquires feedback on convenience experienced by commuters in public transit.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124560834","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580834
N. Conci, F. D. Natale, S. Messelodi, C. M. Modena, Marco Verza, R. Fioravanti
In this paper we present a video surveillance platform for the automatic analysis of complex environments, namely urban outdoor scenarios and crowded areas, including airports and train or metro stations. Considering the difficulty in performing continuous tracking and activity monitoring for every single subject in the scene, and due to the multiple occlusions and the complexity of the visual scene, the set of tools implemented in the system are designed to assess the situation in the monitored area according to a scalable architecture. The modules include: abandoned object detection, sterile zone and door surveillance, crowd anomaly detection, violent interactions detection, and reidentification. The modules have been developed and tested on several benchmark datasets before the deployment, to verify the compliance with the application requirements.
{"title":"An integrated framework for video surveillance in complex environments","authors":"N. Conci, F. D. Natale, S. Messelodi, C. M. Modena, Marco Verza, R. Fioravanti","doi":"10.1109/ISC2.2016.7580834","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580834","url":null,"abstract":"In this paper we present a video surveillance platform for the automatic analysis of complex environments, namely urban outdoor scenarios and crowded areas, including airports and train or metro stations. Considering the difficulty in performing continuous tracking and activity monitoring for every single subject in the scene, and due to the multiple occlusions and the complexity of the visual scene, the set of tools implemented in the system are designed to assess the situation in the monitored area according to a scalable architecture. The modules include: abandoned object detection, sterile zone and door surveillance, crowd anomaly detection, violent interactions detection, and reidentification. The modules have been developed and tested on several benchmark datasets before the deployment, to verify the compliance with the application requirements.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131931509","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580859
Dimitrios Thomas, O. Deblecker, A. Bagheri, C. Ioakimidis
High energy demand in corporate and/or public buildings is nowadays one of the main reasons of excessive energy consumption. At the same time, electric vehicles (EVs) have become very popular worldwide being a considerable alternative power source when parked. In this work we propose a scheduling mechanism which optimizes the control of the charging-discharging schedule of an altered but finite number of EVs arriving at a university building for a typical load-day in February aiming at the minimization of the energy demand and the electricity cost of the building. In the aforementioned framework, a parallel operation of a small sized gas turbine generator (GGT) is considered. To this end, a mixed integer linear programing (MILP) model containing binary and continuous variables has been developed to optimize the control process and minimize energy cost. Results showed that the use of the EVs as an alternative energy source can significantly contribute to the reduction of the building's energy demand leading to important cost decrease. The exploitation of the energy produced by the GGT further contributed to the minimization of the total energy consumption of the building and the total electricity cost.
{"title":"A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine","authors":"Dimitrios Thomas, O. Deblecker, A. Bagheri, C. Ioakimidis","doi":"10.1109/ISC2.2016.7580859","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580859","url":null,"abstract":"High energy demand in corporate and/or public buildings is nowadays one of the main reasons of excessive energy consumption. At the same time, electric vehicles (EVs) have become very popular worldwide being a considerable alternative power source when parked. In this work we propose a scheduling mechanism which optimizes the control of the charging-discharging schedule of an altered but finite number of EVs arriving at a university building for a typical load-day in February aiming at the minimization of the energy demand and the electricity cost of the building. In the aforementioned framework, a parallel operation of a small sized gas turbine generator (GGT) is considered. To this end, a mixed integer linear programing (MILP) model containing binary and continuous variables has been developed to optimize the control process and minimize energy cost. Results showed that the use of the EVs as an alternative energy source can significantly contribute to the reduction of the building's energy demand leading to important cost decrease. The exploitation of the energy produced by the GGT further contributed to the minimization of the total energy consumption of the building and the total electricity cost.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132297439","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580810
Aleksas Mamkaitis, Marija Bezbradica, M. Helfert
With the increasing interest towards the concept of Smart Cities from the city governments world-wide there is a need for useful and Information Systems oriented approach to understand Smart City propositions. In this paper we review a Smart City from an Enterprise Architecture (EA) perspective. We adapt TOGAF Architecture Development Method (ADM) to derive the concept of Enterprise Concerns. These concerns will subsequently be used to review the Smart City literature. Finally, we summarize our findings and propose the concept of the Urban Enterprise composed of Urban Enterprise Components.
{"title":"Urban enterprise: A review of Smart City frameworks from an Enterprise Architecture perspective","authors":"Aleksas Mamkaitis, Marija Bezbradica, M. Helfert","doi":"10.1109/ISC2.2016.7580810","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580810","url":null,"abstract":"With the increasing interest towards the concept of Smart Cities from the city governments world-wide there is a need for useful and Information Systems oriented approach to understand Smart City propositions. In this paper we review a Smart City from an Enterprise Architecture (EA) perspective. We adapt TOGAF Architecture Development Method (ADM) to derive the concept of Enterprise Concerns. These concerns will subsequently be used to review the Smart City literature. Finally, we summarize our findings and propose the concept of the Urban Enterprise composed of Urban Enterprise Components.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525256","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580835
F. Viani, A. Polo, E. Giarola, F. Robol, G. Benedetti, S. Zanetti
A wireless distributed system for the detection of the wildlife road-crossing events is addressed to prevent the problem of collisions with the approaching vehicles. The system is based on a wireless sensor network architecture deployed along the road sides in order to alert in real-time the drivers about the dangerous presence of deers within a security area determined by Doppler radar modules integrated in the nodes of the wireless network. The system aims at providing the information for the smart management of road signs through their adaptive activation only in presence of real dangers. The performance of the detection has been assessed during a long-term measurement campaign along a road stretch in Trentino, Italy, where the problem of deer road-crossing significantly impacts the driver safety and security.
{"title":"Performance assessment of a smart road management system for the wireless detection of wildlife road-crossing","authors":"F. Viani, A. Polo, E. Giarola, F. Robol, G. Benedetti, S. Zanetti","doi":"10.1109/ISC2.2016.7580835","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580835","url":null,"abstract":"A wireless distributed system for the detection of the wildlife road-crossing events is addressed to prevent the problem of collisions with the approaching vehicles. The system is based on a wireless sensor network architecture deployed along the road sides in order to alert in real-time the drivers about the dangerous presence of deers within a security area determined by Doppler radar modules integrated in the nodes of the wireless network. The system aims at providing the information for the smart management of road signs through their adaptive activation only in presence of real dangers. The performance of the detection has been assessed during a long-term measurement campaign along a road stretch in Trentino, Italy, where the problem of deer road-crossing significantly impacts the driver safety and security.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132263453","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580789
Arne Bochem, Kevin Freeman, Martin Schwarzmaier, O. Alfandi, D. Hogrefe
Bicycle theft is a big problem in places such as university towns, where bicycles offer one of the most cost-efficient and quick ways for students to move around. For example, 1,200 bicycles are stolen yearly in Göttingen, with more than 300,000 being reported as stolen in the whole of Germany during 2014. We present a power efficient architecture to track the locations of stolen bicycles using opportunistic communication with collection nodes placed in high traffic spots, that can be used to find stolen and lost bicycles. At the same time, the scheme is designed to prevent a loss of privacy for the owners of bicycles that have not been marked as stolen, while also reducing power usage during times where bicycles are under the control of their proper owners. We also show the feasibility of our approach using a simplified implementation using IRIS nodes, with a university campus serving as a testbed.
{"title":"A privacy-preserving and power-efficient bicycle tracking scheme for theft mitigation","authors":"Arne Bochem, Kevin Freeman, Martin Schwarzmaier, O. Alfandi, D. Hogrefe","doi":"10.1109/ISC2.2016.7580789","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580789","url":null,"abstract":"Bicycle theft is a big problem in places such as university towns, where bicycles offer one of the most cost-efficient and quick ways for students to move around. For example, 1,200 bicycles are stolen yearly in Göttingen, with more than 300,000 being reported as stolen in the whole of Germany during 2014. We present a power efficient architecture to track the locations of stolen bicycles using opportunistic communication with collection nodes placed in high traffic spots, that can be used to find stolen and lost bicycles. At the same time, the scheme is designed to prevent a loss of privacy for the owners of bicycles that have not been marked as stolen, while also reducing power usage during times where bicycles are under the control of their proper owners. We also show the feasibility of our approach using a simplified implementation using IRIS nodes, with a university campus serving as a testbed.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126363434","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580751
Weisi Guo, Xueke Lu
Transport is important as a means by which people engage in the economy and interact socially. It is important to understand the complex relationships between transport properties and other geographic measures in order to design integrated smart city solutions. In this paper, we apply complex network analysis to better understand the London underground and overground rail network and uncover its relation to how citizens make certain lifestyle choices and other urban geography features. We propose to apply Neighbourhood Centrality, which aggregates the network centrality values in a geographic area. We uncover that the neighbourhood eigenvector centrality can explain for up to 79% of the variations in: (1) the age demographics, (2) the choice in transportation mode, and (3) the price and choice of housing. This sheds light on some of the complexities that surround public transport networks and its relation to urban human geography, and can prove useful for the design of future smart city transport systems.
{"title":"London underground: Neighbourhood centrality and relation to urban geography","authors":"Weisi Guo, Xueke Lu","doi":"10.1109/ISC2.2016.7580751","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580751","url":null,"abstract":"Transport is important as a means by which people engage in the economy and interact socially. It is important to understand the complex relationships between transport properties and other geographic measures in order to design integrated smart city solutions. In this paper, we apply complex network analysis to better understand the London underground and overground rail network and uncover its relation to how citizens make certain lifestyle choices and other urban geography features. We propose to apply Neighbourhood Centrality, which aggregates the network centrality values in a geographic area. We uncover that the neighbourhood eigenvector centrality can explain for up to 79% of the variations in: (1) the age demographics, (2) the choice in transportation mode, and (3) the price and choice of housing. This sheds light on some of the complexities that surround public transport networks and its relation to urban human geography, and can prove useful for the design of future smart city transport systems.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"40 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115015307","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580740
Yakubu Tsado, K. Gamage, David Lund, B. Adebisi
Routing in Neighbourhood Area Network (NAN) for Smart Grid's Advanced Metering Infrastructure (AMI) raises the need for Quality of Service (QoS)-Aware routing. This is due to the expanded list of applications that will result in the transmission of different types of traffic between NAN devices (i.e smart meters). In wireless mesh network (WMN) routing, a combination of multiple link metrics, though complex, has been identified as a possible solution for QoS routing. These complexities (i.e Np complete problem) can be resolved through the use of Analytical Hierarchy Process (AHP) algorithm and pruning techniques. With the assumption that smart meters transmit IP packets of different sizes at different interval to represent AMI traffic, a case study of the performance of three Optimised Link State Routing (OLSR) link metrics is carried out on a grid topology NAN based WMN in ns-2 network simulator. The best two performing metric were used to show the possibility of combining multiple metrics with OLSR through the AHP algorithm to fulfill the QoS routing requirements of targeted AMI application traffic in NANs.
{"title":"Multiple metrics-OLSR in NAN for Advanced Metering Infrastructures","authors":"Yakubu Tsado, K. Gamage, David Lund, B. Adebisi","doi":"10.1109/ISC2.2016.7580740","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580740","url":null,"abstract":"Routing in Neighbourhood Area Network (NAN) for Smart Grid's Advanced Metering Infrastructure (AMI) raises the need for Quality of Service (QoS)-Aware routing. This is due to the expanded list of applications that will result in the transmission of different types of traffic between NAN devices (i.e smart meters). In wireless mesh network (WMN) routing, a combination of multiple link metrics, though complex, has been identified as a possible solution for QoS routing. These complexities (i.e Np complete problem) can be resolved through the use of Analytical Hierarchy Process (AHP) algorithm and pruning techniques. With the assumption that smart meters transmit IP packets of different sizes at different interval to represent AMI traffic, a case study of the performance of three Optimised Link State Routing (OLSR) link metrics is carried out on a grid topology NAN based WMN in ns-2 network simulator. The best two performing metric were used to show the possibility of combining multiple metrics with OLSR through the AHP algorithm to fulfill the QoS routing requirements of targeted AMI application traffic in NANs.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"16 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120904349","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 : 2016-10-03DOI: 10.1109/ISC2.2016.7580795
S. Bracco, F. Delfino, M. Rossi, M. Robba, L. Pagnini
The choice of the location and size of plants for energy production (both from renewables and fossil fuels) is fundamental to cope with sustainability and emission reduction in smart cities. When the electrical grid is considered, it is necessary to guarantee an electrical demand in each time interval of a single day while the decisions related to installation have to be considered for the whole life time of generation units. In this work, a decision model is proposed for the planning of the energy production in a smart grid feeding a smart district. Specifically, the considered system is characterized by wind turbines, photovoltaic plants, cogeneration micro-turbines, boilers and a connection to the electrical grid. The input parameters of the available renewable resources, the electrical and thermal demands have been estimated on the basis of real data. The proposed model has been applied to a neighborhood in Savona, Italy. The proposed tool is aimed at supporting a central decision maker in planning investments in different urban areas, in the context of the transition from a traditional city to a “smart” one.
{"title":"Optimal planning of the energy production mix in smart districts including renewable and cogeneration power plants","authors":"S. Bracco, F. Delfino, M. Rossi, M. Robba, L. Pagnini","doi":"10.1109/ISC2.2016.7580795","DOIUrl":"https://doi.org/10.1109/ISC2.2016.7580795","url":null,"abstract":"The choice of the location and size of plants for energy production (both from renewables and fossil fuels) is fundamental to cope with sustainability and emission reduction in smart cities. When the electrical grid is considered, it is necessary to guarantee an electrical demand in each time interval of a single day while the decisions related to installation have to be considered for the whole life time of generation units. In this work, a decision model is proposed for the planning of the energy production in a smart grid feeding a smart district. Specifically, the considered system is characterized by wind turbines, photovoltaic plants, cogeneration micro-turbines, boilers and a connection to the electrical grid. The input parameters of the available renewable resources, the electrical and thermal demands have been estimated on the basis of real data. The proposed model has been applied to a neighborhood in Savona, Italy. The proposed tool is aimed at supporting a central decision maker in planning investments in different urban areas, in the context of the transition from a traditional city to a “smart” one.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127720140","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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