Emmanouil Valsomatzis, T. Pedersen, A. Abelló, K. Hose, Laurynas Siksnys
{"title":"Towards constraint-based aggregation of energy flexibilities","authors":"Emmanouil Valsomatzis, T. Pedersen, A. Abelló, K. Hose, Laurynas Siksnys","doi":"10.1145/2939912.2942351","DOIUrl":"https://doi.org/10.1145/2939912.2942351","url":null,"abstract":"The aggregation of energy flexibilities enables individual producers and/or consumers with small loads to directly participate in the emerging energy markets. On the other hand, aggregation of such flexibilities might also create problems to the operation of the electrical grid. In this paper, we present the problem of aggregating energy flexibilities taking into account grid capacity limitations and introduce a heuristic aggregation technique. We show through an experimental setup that our proposed technique, compared to a baseline approach, not only leads to a valid unit commitment result that respects the grid constraint, but it also improves the quality of the result.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121920873","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}
K. Saurav, Heena Bansal, Megha Nawhal, A. Kumar, V. Chandan, V. Arya, R. Sridhar, B. Ramesh
{"title":"Optimizing energy costs of commercial buildings in developing countries","authors":"K. Saurav, Heena Bansal, Megha Nawhal, A. Kumar, V. Chandan, V. Arya, R. Sridhar, B. Ramesh","doi":"10.1145/2939912.2942350","DOIUrl":"https://doi.org/10.1145/2939912.2942350","url":null,"abstract":"Energy cost from hvac is a significant fraction of the overall operational cost of a commercial building. Moreover, in developing countries such as India with inadequate grid connectivity and frequent outages, diesel generators are a common source of backup power. While this may solve the problem of outages, power produced by diesel generators is much more expensive than grid power. This work proposes an optimization framework targeted to minimize energy costs of buildings in the presence of outages and a mix of energy sources such as grid, diesel generators, solar, and battery. Our framework is novel since it exploits the inherent ability of a building to store thermal energy and availability of opportunistic occupancy proxies such as CO2 concentration. The framework when investigated for real world scenarios including office buildings and cell towers, resulted in savings of more than 10% relative to normal operational practices.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114785641","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}
{"title":"Inferring non-outage events using meter voltage data","authors":"Ramachandra Kota, V. Arya, Daniel A. Bowden","doi":"10.1145/2939912.2939916","DOIUrl":"https://doi.org/10.1145/2939912.2939916","url":null,"abstract":"Power distribution utilities incur significant expenditures due to field operations. While restoration efforts following outages lead to truck rolls in order to identify and rectify faults, there exist several non-outage events that also result in generation of work orders and crew visits. In this paper, we discuss a new problem in the smart grid domain wherein data-driven approaches may be used to improve field operations and customer experience by minimizing the time required to diagnose, locate and rectify non-outage faults. In particular, we discuss how voltage datastream from customer smart meters can be leveraged to pre-inform the crew about such faults and proactively generate work orders. We also conduct a preliminary investigation based on meter data obtained from a large electrical utility in North America.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134582715","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}
{"title":"A framework for occupancy-aided energy disaggregation","authors":"Guoming Tang, Kui Wu","doi":"10.1145/2939912.2939914","DOIUrl":"https://doi.org/10.1145/2939912.2939914","url":null,"abstract":"Energy disaggregation helps to identify major energy guzzlers in the house without introducing extra metering cost. It motivates users to take proper actions for energy saving and facilitates demand response programs. To increase the accuracy of energy disaggregation and reduce the computational complexity, we use the occupancy information and split the whole time interval into occupied and unoccupied periods. In unoccupied periods, we apply simple energy approximation; in occupied periods, we perform energy disaggregation with existing methods. Real-world implementation and evaluation are conducted in an apartment. Comparing with energy disaggregation without considering occupancy information, our occupancy-aided approach can significantly reduce the computational overhead while ensuring the accuracy of energy disaggregation.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129626287","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}
{"title":"Observability: replacing sensors with inference engines","authors":"A. Agarwal, Vitobha Munigala, K. Ramamritham","doi":"10.1145/2939912.2942356","DOIUrl":"https://doi.org/10.1145/2939912.2942356","url":null,"abstract":"Sensor driven building management involves tasks like reducing and optimizing power consumption, monitoring the health of the building appliances, maintaining quality of the atmosphere in the building and tracking occupants in various parts of the building (useful for purposes such as building safety and emergency evacuation), to name a few. But, installing numerous sensors in different parts of the building can a) be tedious and expensive b) cause inconvenience to the users c) increase the payback period and, d) affect the aesthetics of the building. The fact that a sensor, suitable for observing a particular facet, may in turn help to infer other facets can be exploited to reduce the number of physical sensors deployed in a building. We have applied our approach to monitor various facets in our academic building and show that impressive reductions are possible, in the number of hard sensors needed, without compromising on observability.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114484608","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}
{"title":"Multiple time-scale model predictive control for thermal comfort in buildings","authors":"R. Kalaimani, S. Keshav, C. Rosenberg","doi":"10.1145/2939912.2942355","DOIUrl":"https://doi.org/10.1145/2939912.2942355","url":null,"abstract":"Intelligent control of heating, ventilation, and air conditioning (HVAC) systems in commercial buildings have been extensively studied in the literature. Although prior work has shown the benefits of using Model Predictive Control (MPC), existing work falls short either by relying on linear HVAC models or using MPC assuming control actions at a single (hourly) time scale, although more frequent control is feasible for some HVAC elements. Our main contribution is the use of a bi-linear thermal model and the careful modeling of the multiple time-scales inherent in the operation of an HVAC system, which permits the design of a multiple time-scale MPC control. We find that employing a multiple time-scale MPC results in significantly better comfort in comparison to a single time-scale MPC, typically without an increase in power consumption. Moreover, there exist cases where there is a significant reduction in power consumption (40%) for the two time-scale MPC in comparison to the single time-scale, with no decrease in comfort.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122906595","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}
Akansha Singh, Stephen Lee, David E. Irwin, P. Shenoy
{"title":"SunShade: software-defined solar systems","authors":"Akansha Singh, Stephen Lee, David E. Irwin, P. Shenoy","doi":"10.1145/2939912.2942352","DOIUrl":"https://doi.org/10.1145/2939912.2942352","url":null,"abstract":"Since the electric grid was not designed to support large-scale solar generation, current policies place hard caps on the number of solar systems that connect to the grid. Unfortunately, users are starting to hit these caps, which is restricting solar's natural growth. Software-defined solar (SDS) systems address the problem by dynamically regulating the power they inject into the grid, similar to TCP, to maximize the grid's available solar capacity, maintain grid stability, and fairly share the grid's solar capacity among users. By dynamically regulating solar \"flows,\" SDS systems remove the need for policies that artificially cap solar systems, enabling any SDS system to freely connect to the grid. Our prototype SDS system, called SunShade, includes two new mechanisms that enable programmatic solar flow control: one that enforces an absolute limit on solar output, and one that enforces a relative limit on solar output as a fraction of the current maximum power point. We have implemented both mechanisms, and conducted a preliminary evaluation with an emulated solar panel using real weather traces with different insolation and temperature levels.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121162801","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}
Haroon Rashid, P. Arjunan, Pushpendra Singh, Amarjeet Singh
{"title":"Collect, compare, and score: a generic data-driven anomaly detection method for buildings","authors":"Haroon Rashid, P. Arjunan, Pushpendra Singh, Amarjeet Singh","doi":"10.1145/2939912.2942354","DOIUrl":"https://doi.org/10.1145/2939912.2942354","url":null,"abstract":"Buildings are one of the largest energy consumers around the world. Several studies show that degraded and misćonfigured devices waste upto 30% of energy in commercial buildings. In this paper, we propose Collect, Compare, and Score (CCS), a generic anomaly detection method that can be used across buildings following different energy usage patterns. CCS is a density based approach. We evaluate CCS using a real-world dataset, consisting of 16 weeks of data from commercial and residential buildings. We find average Area Under Curve (AUC) value of 0.92 for CSS and 0.78 for baseline method.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343918","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}
Leena Markose, V. Sarangan, Arunchandar Vasan, Ramasubramanian Suriyanarayanan, A. Sivasubramaniam
{"title":"Harmoney: saving energy costs in buildings through harmonic current mitigation","authors":"Leena Markose, V. Sarangan, Arunchandar Vasan, Ramasubramanian Suriyanarayanan, A. Sivasubramaniam","doi":"10.1145/2939912.2942353","DOIUrl":"https://doi.org/10.1145/2939912.2942353","url":null,"abstract":"Better control of electrical loads through power electronic devices helps save energy. However, extensive usage of such electronics degrades the quality of power by introducing harmonics, which are sinusoidal currents and voltages with frequencies that are integral multiples of the system design frequency. Harmonics have several negative effects such as increased energy losses, breaker tripping, and reduced asset lifetime. Filters are used to remove harmonics from the system. In this paper, we investigate the costs and benefits of placing harmonic filters in a real-world building. Existing works do not provide satisfactory insights on this issue as they are either based on simulation models or have unrealistic assumptions about filter placement.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127409741","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}
Mukesh Jha, Alexandros Tsoupos, P. Marpu, S. Chau, P. Armstrong
{"title":"In-situ sensor network for microclimate and urban energy modeling and validation","authors":"Mukesh Jha, Alexandros Tsoupos, P. Marpu, S. Chau, P. Armstrong","doi":"10.1145/2939912.2939913","DOIUrl":"https://doi.org/10.1145/2939912.2939913","url":null,"abstract":"Urban development results in substantial changes to the climate variables (e.g., temperature, wind movement), statistically differing from those of the surrounding area, which is referred as microclimate. In particular, urban heat island is a prominent phenomenon of intense urban microclimate variations, whereby notably hotter temperature arises in urban environment due to anthropogenic heat sources, air restriction and solar re-radiation induced by urban infrastructure, which can contribute to an increase of energy consumption in buildings. To better understand and evaluate the effect of microclimate in urban environment and its impacts to urban energy consumption, an extensive in-situ sensor network is being deployed in a pilot project located in Abu Dhabi City. By assimilating data from in-situ sensing measurements using sensor networks, and advanced modelling, an analysis of the intricate relationship between urban microclimate and urban form will be made. This project aims to provide an appropriate framework for monitoring and modelling the urban microclimate for efficient adaptation of future urban infrastructure.","PeriodicalId":308199,"journal":{"name":"Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445988","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}