Pub Date : 2017-12-01DOI: 10.23919/SustainIT.2017.8379792
Hessam Mohammadmoradi, O. Gnawali, David Moss, Rainer Boelzle, Gene Wang
Energy wasted in buildings is a major fraction of total energy wasted in today's cities. Most people are not aware of inefficiencies and energy wasted in their homes. Making people aware about energy wasted in their homes and inefficiencies in their energy consumption behaviors could contribute to large energy savings at the city scale. Many energy-saving programs, run by the governments, non-profits, or utilities, are designed to help people improve their energy efficiency at homes by providing feedback. The critical factor in the effectiveness of energy saving programs is user engagement Best energy saving tips will not save noticeable energy if users do not use those tips. In this project, we design several intentionally simple energy-saving activities with a goal to help citizens understand how they use energy and find ways to save energy. To evaluate the effectiveness of proposed energy-saving guidelines, 740 volunteers at Oahu, Hawaii are provided smart meters and are asked to follow proposed activities in their daily life. Results from the program indicate that our program helps users reduce their bill by 2.83%, which is comparable with similar programs but the simplicity of our proposed energy saving activities boosted up participation rate to 35%.
{"title":"Effectiveness of a task-based residential energy efficiency program in Oahu","authors":"Hessam Mohammadmoradi, O. Gnawali, David Moss, Rainer Boelzle, Gene Wang","doi":"10.23919/SustainIT.2017.8379792","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379792","url":null,"abstract":"Energy wasted in buildings is a major fraction of total energy wasted in today's cities. Most people are not aware of inefficiencies and energy wasted in their homes. Making people aware about energy wasted in their homes and inefficiencies in their energy consumption behaviors could contribute to large energy savings at the city scale. Many energy-saving programs, run by the governments, non-profits, or utilities, are designed to help people improve their energy efficiency at homes by providing feedback. The critical factor in the effectiveness of energy saving programs is user engagement Best energy saving tips will not save noticeable energy if users do not use those tips. In this project, we design several intentionally simple energy-saving activities with a goal to help citizens understand how they use energy and find ways to save energy. To evaluate the effectiveness of proposed energy-saving guidelines, 740 volunteers at Oahu, Hawaii are provided smart meters and are asked to follow proposed activities in their daily life. Results from the program indicate that our program helps users reduce their bill by 2.83%, which is comparable with similar programs but the simplicity of our proposed energy saving activities boosted up participation rate to 35%.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133851579","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 : 2017-12-01DOI: 10.23919/SustainIT.2017.8379809
Filipe Quintal, Mary Barreto, Fabio Luis, Vitor Baptista, Augusto Esteves
This work is focused on studying the immediacy of eco-feedback and the appropriation of these systems in households' daily life. This paper describes the development of Wattapp, a common two spots wall socket redesigned to display the current consumption using a set of LED lights, which change from green to red according to the consumption. The device was evaluated for fifteen days in the cafeteria/lounge of a research institute and a subset of six users were interviewed to assess how Wattapp was perceived. In general, users understood the feedback. In addition, our evaluation disclosed how such device could be used in the day-to-day lives, for example, comparing the consumption of electrical devices or used to remotely control appliances.
{"title":"Studying the immediacy of eco-feedback through plug level consumption information","authors":"Filipe Quintal, Mary Barreto, Fabio Luis, Vitor Baptista, Augusto Esteves","doi":"10.23919/SustainIT.2017.8379809","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379809","url":null,"abstract":"This work is focused on studying the immediacy of eco-feedback and the appropriation of these systems in households' daily life. This paper describes the development of Wattapp, a common two spots wall socket redesigned to display the current consumption using a set of LED lights, which change from green to red according to the consumption. The device was evaluated for fifteen days in the cafeteria/lounge of a research institute and a subset of six users were interviewed to assess how Wattapp was perceived. In general, users understood the feedback. In addition, our evaluation disclosed how such device could be used in the day-to-day lives, for example, comparing the consumption of electrical devices or used to remotely control appliances.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205370","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 : 2017-12-01DOI: 10.23919/SustainIT.2017.8379800
A. Anastopoulou, Costas Kalogiros, G. Stamoulis
We develop and evaluate a methodology for running manual implicit and explicit Demand Response campaigns in order to improve the sustainability of smart grids. Initially, we introduce a flexibility profiling engine that relies on the correlation among end-user's consumption, prices and environmental conditions. Then, we investigate two mechanisms so that an Aggregator, acting as an intermediate between the Distribution System Operator or Retailer and the consumers, achieves the desired demand flexibility. More precisely we introduce: (i) a price-based mechanism that determines the new price that consumers will be paying during the DR campaign, and (ii) a reward-based mechanism that determines which set of consumers should participate in the campaign, along with the load flexibility to be asked from each one and the reward offered. The proposed methodology is evaluated using a publicly-available dataset. It is seen that the CES model achieves high estimation accuracy. Also, the economic metrics obtained using both price-based and reward-based mechanisms, are more favorable than the ones obtained by the dynamic prices actually applied and by a naive reward-based method rewards, respectively.1
{"title":"Methodology for managing cost-effective demand response campaigns based on demand elasticity profiles","authors":"A. Anastopoulou, Costas Kalogiros, G. Stamoulis","doi":"10.23919/SustainIT.2017.8379800","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379800","url":null,"abstract":"We develop and evaluate a methodology for running manual implicit and explicit Demand Response campaigns in order to improve the sustainability of smart grids. Initially, we introduce a flexibility profiling engine that relies on the correlation among end-user's consumption, prices and environmental conditions. Then, we investigate two mechanisms so that an Aggregator, acting as an intermediate between the Distribution System Operator or Retailer and the consumers, achieves the desired demand flexibility. More precisely we introduce: (i) a price-based mechanism that determines the new price that consumers will be paying during the DR campaign, and (ii) a reward-based mechanism that determines which set of consumers should participate in the campaign, along with the load flexibility to be asked from each one and the reward offered. The proposed methodology is evaluated using a publicly-available dataset. It is seen that the CES model achieves high estimation accuracy. Also, the economic metrics obtained using both price-based and reward-based mechanisms, are more favorable than the ones obtained by the dynamic prices actually applied and by a naive reward-based method rewards, respectively.1","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127624414","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 : 2017-12-01DOI: 10.23919/SustainIT.2017.8379797
A. Reinhardt
Collecting and analyzing power consumption data from electrical appliances is a key enabling element for grid-related services, e.g., load forecasting or anomaly detection. Device-level sensors (smart plugs) have found widespread use to collect such data. However, they prevalently report an electrical appliance's power consumption at a rate of one reading per second in order to limit the resultant communication traffic. With mains voltage frequencies of 50/60 Hz, undersampling and the consequent loss of spectral information result from the use of such reporting rates. Moreover, as most smart plugs only report real power consumption values, important supplementary features (e.g., the phase shift between voltage and current or the magnitude of reactive power) are not available when using such devices. In this work we present a data processing system design that exploits the recurring nature of electrical current waveforms in order to facilitate the provision of data at a high resolution whilst keeping the corresponding data rate requirements low. Our design, called ALSCEAM, is applicable to voltage and current waveforms collected at high sampling rates, thus spectral components are implicitly included in collected traces. Instead of transferring raw readings to external processing services, however, local data processing routines are being employed to detect and eliminate redundancies. Thus, a high data fidelity is maintained while network traffic is reduced by more than 95% in many cases. All functionalities are implemented in a proof-of-concept system design and evaluated in practice.
{"title":"Adaptive load signature coding for electrical appliance monitoring over low-bandwidth communication channels","authors":"A. Reinhardt","doi":"10.23919/SustainIT.2017.8379797","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379797","url":null,"abstract":"Collecting and analyzing power consumption data from electrical appliances is a key enabling element for grid-related services, e.g., load forecasting or anomaly detection. Device-level sensors (smart plugs) have found widespread use to collect such data. However, they prevalently report an electrical appliance's power consumption at a rate of one reading per second in order to limit the resultant communication traffic. With mains voltage frequencies of 50/60 Hz, undersampling and the consequent loss of spectral information result from the use of such reporting rates. Moreover, as most smart plugs only report real power consumption values, important supplementary features (e.g., the phase shift between voltage and current or the magnitude of reactive power) are not available when using such devices. In this work we present a data processing system design that exploits the recurring nature of electrical current waveforms in order to facilitate the provision of data at a high resolution whilst keeping the corresponding data rate requirements low. Our design, called ALSCEAM, is applicable to voltage and current waveforms collected at high sampling rates, thus spectral components are implicitly included in collected traces. Instead of transferring raw readings to external processing services, however, local data processing routines are being employed to detect and eliminate redundancies. Thus, a high data fidelity is maintained while network traffic is reduced by more than 95% in many cases. All functionalities are implemented in a proof-of-concept system design and evaluated in practice.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122414057","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 : 2017-12-01DOI: 10.23919/SustainIT.2017.8379804
Björn Hedin
This paper presents LCAFDB, a crowdsourced database for collecting Life Cycle Assessment data for foodstuff. Such an open database is useful to facilitate the development of feedback systems about greenhouse gas (GHG) emissions for food. We describe the design challenges encountered while we developed the system and our solutions. We also exemplify by a number of applications developed that use this database.
{"title":"LCAFDB — A crowdsourced life cycle assessment database for food","authors":"Björn Hedin","doi":"10.23919/SustainIT.2017.8379804","DOIUrl":"https://doi.org/10.23919/SustainIT.2017.8379804","url":null,"abstract":"This paper presents LCAFDB, a crowdsourced database for collecting Life Cycle Assessment data for foodstuff. Such an open database is useful to facilitate the development of feedback systems about greenhouse gas (GHG) emissions for food. We describe the design challenges encountered while we developed the system and our solutions. We also exemplify by a number of applications developed that use this database.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122448534","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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