ABSTRACT
Smart buildings will play a fundamental role in ensuring comfort while reducing the energy required. However, due to the lack of knowledge about the operation of the smart controllers, the occupants can unintentionally increase the energy spent. Nevertheless, there is evidence that the informed and motivated user will actually cooperate with the system.
Some of the issues associated with researching control systems in the context of building automation are difficult to address, because of the chronic lack of effective laboratory settings for experimentation. In this paper, we describe a system representative of the usual complexity found in cyber-physical systems, whose purpose is to address the needs for experimenting with building automation, with a focus on control systems and gamification. Designed with pragmatic concerns, this system presents a unique set of challenges and opportunities to research a new generation of software control systems, and supporting interfaces, that leverage the occupants' behaviour.
- Charilaos Akasiadis, Evaggelos Spyrou, Georgios Pierris, Dimitris Sgouropoulos, Giorgos Siantikos, Alexandros Mavrommatis, Costas Vrakopoulos, and Theodoros Giannakopoulos. 2015. Exploiting future internet technologies. In 8th ACM International Conference on Pervasive Technologies Related to Assistive Environments. ACM Press, New York, USA, 1--2. Google ScholarDigital Library
- Larry Apfelbaum and John Doyle. 1997. Model based testing. In Software Quality Week Conference. 296--300.Google Scholar
- Ankica Barisic, Vasco Amaral, and Miguel Goulão. 2018. Usability driven DSL development with USE-ME. Computer Languages, Systems & Structures 51 (2018), 118--157. Google ScholarDigital Library
- Sergiy Bogomolov, Marius Greitschus, Peter G. Jensen, Kim G. Larsen, Marius Mikučionis, Thomas Strump, and Stavros Tripakis. 2015. Co-Simulation of Hybrid Systems with SpaceEx and Uppaal. In 11th International Modelica Conference. Linköping University Electronic Press, Paris, France, 159--169.Google Scholar
- Sarah Darby. 2008. Energy feedback in buildings: improving the infrastructure for demand reduction. Building Research & Information 36, 5 (oct 2008), 499--508.Google ScholarCross Ref
- Anna Carolina Kossmann de Menezes, Richard Tetlow, C Philip Beaman, Dino Bouchlaghem, Andrew Cripps, and Richard A Buswell. 2012. Assessing the impact of occupant behaviour on electricity consumption for lighting and small power in office buildings. (2012).Google Scholar
- Sebastian Deterding, Dan Dixon, Rilla Khaled, and Lennart Nacke. 2011. From game design elements to gamefulness. In 15th International Academic MindTrek Conference on Envisioning Future Media Environments. ACM Press, New York, USA, 9. Google ScholarDigital Library
- W. Stuart Dols, Steven J. Emmerich, and Brian J. Polidoro. 2016. Coupling the multizone airflow and contaminant transport software CONTAM with En-ergyPlus using co-simulation. Building Simulation 9, 4 (aug 2016), 469--479.Google ScholarCross Ref
- A.I. Dounis and C. Caraiscos. 2009. Advanced control systems engineering for energy and comfort management in a building environment-A review. Renewable and Sustainable Energy Reviews 13, 6--7 (aug 2009), 1246--1261.Google ScholarCross Ref
- Mark Eilers, John Reed, and TecMRKT Works. 1996. Behavioral aspects of lighting and occupancy sensors in private offices: a case study of a university office building. Summer Study on Energy Efficiency in Buildings (1996).Google Scholar
- Valentina Fabi, Rune Vinther Andersen, Stefano Corgnati, and Bjarne W. Olesen. 2012. Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models. Building and Environment 58 (dec 2012), 188--198.Google Scholar
- Cláudio Gomes, Paschalis Karalis, Eva M. Navarro-López, and Hans Vangheluwe. 2017. Approximated Stability Analysis of Bi-Modal Hybrid Co-simulation Scenarios. In 1st Workshop on Formal Co-Simulation of Cyber-Physical Systems. Trento, Italy, to appear.Google Scholar
- Cláudio Gomes, Benoît Legat, Raphaël M. Jungers, and Hans Vangheluwe. 2017. Stable Adaptive Co-simulation : A Switched Systems Approach. In IUTAM Symposium on Co-Simulation and Solver Coupling. Darmstadt, Germany, to appear.Google Scholar
- Cláudio Gomes, Casper Thule, David Broman, Peter Gorm Larsen, and Hans Vangheluwe. 2017. Co-simulation: State of the art. Technical Report. arXiv:1702.00686 http://arxiv.org/abs/1702.00686Google Scholar
- Cláudio Gomes, Yentl Van Tendeloo, Joachim Denil, Paul De Meulenaere, and Hans Vangheluwe. 2017. Hybrid System Modelling and Simulation with Dirac Deltas. In Proceedings of the Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium (DEVS '17). Virginia Beach, Virginia, USA, to appear. Google ScholarDigital Library
- S. Harte. 2005. Fault tolerance in sensor networks using self-diagnosing sensor nodes. In IEE Seminar on Intelligent Building Environments, Vol. 2005. IEE, v2--7--v2--7.Google ScholarCross Ref
- Tianzhen Hong and Hung-Wen Lin. 2013. Occupant behavior: impact on energy use of private offices. Technical Report.Google Scholar
- Daniel Johnson, Ella Horton, Rory Mulcahy, and Marcus Foth. 2017. Gamification and serious games within the domain of domestic energy consumption: A systematic review. Renewable and Sustainable Energy Reviews 73 (jun 2017), 249--264.Google Scholar
- Vasileios Karagiannis, Periklis Chatzimisios, Francisco Vazquez-Gallego, and Jesus Alonso-Zarate. 2015. A Survey on Application Layer Protocols for the Internet of Things. Transaction on IoT and Cloud Computing 3, 1 (2015), 11--17.Google Scholar
- David P. Y. Lawrence, Claudio Gomes, Joachim Denil, Hans Vangheluwe, and Didier Buchs. 2016. Coupling Petri nets with Deterministic Formalisms Using Co-simulation. In Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium. Pasadena, CA, USA, 6:1--6:8. Google ScholarDigital Library
- Edward A. Lee. 2008. Cyber Physical Systems: Design Challenges. In 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC). 363--369. Google ScholarDigital Library
- Edward A Lee, Mehrdad Niknami, Thierry S Nouidui, and Michael Wetter. 2015. Modeling and Simulating Cyber-physical Systems Using CyPhySim. In 12th International Conference on Embedded Software (EMSOFT '15). IEEE Press, Piscataway, NJ, USA, 115--124. Google ScholarDigital Library
- Libelium. 2018. Open Aquarium Platform Description. (2018). https://www.cooking-hacks.com/documentation/tutorials/open-aquarium-aquaponics-fish-tank-monitoring-arduinoGoogle Scholar
- Levi Lúcio, Bentley James Oakes, Cláudio Gomes, Gehan Selim, Juergen Dingel, James R. Cordy, andHans Vangheluwe. 2015. SyVOLT: Full Model Transformation Verification Using Contracts. In 8th International Conference on Model Driven Engineering Languages and Systems. Ottawa, Canada.Google Scholar
- Toni Mancini, Federico Mari, Annalisa Massini, Igor Melatti, Fabio Merli, and Enrico Tronci. 2013. System Level Formal Verification via Model Checking Driven Simulation. In Computer Aided Verification, Natasha Sharygina and Helmut Veith (Eds.). Lecture Notes in Computer Science, Vol. 8044. Springer Berlin Heidelberg, 296--312.Google Scholar
- Luca Morganti, Federica Pallavicini, Elena Cadel, Antonio Candelieri, Francesco Archetti, and Fabrizia Mantovani. 2017. Gaming for Earth: Serious games and gamification to engage consumers in pro-environmental behaviours for energy efficiency. Energy Research & Social Science 29 (jul 2017), 95--102.Google Scholar
- Sirajum Munir, John a. Stankovic, Chieh-Jan Mike Liang, and Shan Lin. 2013. Cyber Physical System Challenges for Human-in-the-Loop Control. The 8th International Workshop on Feedback Computing (2013).Google Scholar
- Don Norman. 2013. The design of everyday things: Revised and expanded edition. Basic Books (AZ).Google Scholar
- T G Papaioannou, D Kotsopoulos, C Bardaki, and S Lounis. 2017. " IoT-Enabled Gamification for Energy Conservation in Public Buildings ". (2017).Google Scholar
- Wout Parys, Dirk Saelens, and Hugo Hens. 2011. Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices - a review-based integrated methodology. Journal of Building Performance Simulation 4, 4 (dec 2011), 339--358.Google ScholarCross Ref
- Srinath Perera, Suhothayan Sriskandarajah, Mohanadarshan Vivekanandalingam, Paul Fremantle, and Sanjiva Weerawarana. 2014. DEBS Grand Challenge : Solving the Grand Challenge Using an Opensource CEP engine Categories and Subject Descriptors. Debs '14 (2014), 288--293. Google ScholarDigital Library
- Timothy I. Salsbury. 2005. A Survey of Control Technologies in the Building Automation Industry. IFAC Proceedings Volumes 38, 1 (2005), 90--100.Google ScholarCross Ref
- Dimitris Sgouropoulos, Evaggelos Spyrou, Giorgos Siantikos, and Theodoros Giannakopoulos. 2015. Counting and tracking people in a smart room: An IoT approach. In 10th International Workshop on Semantic and Social Media Adaptation and Personalization. IEEE, 1--5. Google ScholarDigital Library
- Pervez Hameed Shaikh, Nursyarizal Bin Mohd Nor, Perumal Nallagownden, Irraivan Elamvazuthi, and Taib Ibrahim. 2014. A review on optimized control systems for building energy and comfort management of smart sustainable buildings. Renewable and Sustainable Energy Reviews 34 (jun 2014), 409--429.Google Scholar
- David Sousa Sousa Nunes, Pei Zhang, and Jorge Sa Silva. 2015. A Survey on human-in-The-loop applications towards an internet of all. IEEE Communications Surveys and Tutorials 17, 2 (2015), 944--965.Google ScholarCross Ref
- Richard M. Tetlow, Chris van Dronkelaar, C. Philip Beaman, Abbas A. Elmualim, and Kevin Couling. 2015. Identifying behavioural predictors of small power electricity consumption in office buildings. Building and Environment 92 (oct 2015), 75--85.Google Scholar
- C. J. Tomlin, I. Mitchell, A. M. Bayen, and M. Oishi. 2003. Computational techniques for the verification of hybrid systems. Proc. IEEE 91, 7 (jul 2003), 986--1001.Google ScholarCross Ref
- Michal Veselý and Wim Zeiler. 2014. Personalized conditioning and its impact on thermal comfort and energy performance - A review. Renewable and Sustainable Energy Reviews 34 (jun 2014), 401--408.Google Scholar
- Molly Webb. 2008. Smart 2020: Enabling the low carbon economy in the information age. Technical Report 1. 1 pages. https://www.theclimategroup.org/sites/default/files/archive/files/Smart2020Report.pdfGoogle Scholar
- F. Yamada, K. Yonezawa, S. Sugawara, and N. Nishimura. 1999. Development of air-conditioning control algorithm for building energy saving. In IEEE International Conference on Control Applications, Vol. 2. IEEE, 1579--1584.Google Scholar
- Wim Zeiler, Derek Vissers, Rik Maaijen, and Gert Boxem. 2014. Occupants' behavioural impact on energy consumption: 'human-in-the-loop' comfort process control. Architectural Engineering and Design Management 10, 1--2 (apr 2014), 108--130.Google ScholarCross Ref
Index Terms
- A building automation case study setup and challenges
Recommendations
Software architecture challenges in building automation
CSN '07: Proceedings of the Sixth IASTED International Conference on Communication Systems and NetworksIn the last decade intensive efforts to develop systems that control buildings has brought several standard approaches. However, recent technological advances have yielded numerous ubiquitous devices that can sense, act and re-act in a pervasive way. ...
Identifying Gamification Project Challenges through Literature Review and Post-Mortem Documents
Asian CHI '23: Proceedings of the Asian HCI Symposium 2023Video game software development consists of multiple disciplines with their own unique challenges. The key to successful game development lies in effective requirements engineering, which involves managing teams with diverse roles and transitioning from ...
Enabling hardware-in-the-loop for building automation networks: A case study for BACnet and PowerDEVS
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics SocietyHardware-in-the-Loop (HIL) is a well-established concept for developing and testing embedded systems. While it is widely used in industrial automation and the automotive area, it is rarely applied to Building Automation Systems (BAS). This work proposes ...
Comments