Optimizing Building Energy Operations via Dynamic Zonal Temperature Settings
Autor: | Markus Groissböck, Michael Stadler, Ana Mera, Afzal S. Siddiqui, Eugenio Perea, Somayeh Heydari |
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Rok vydání: | 2014 |
Předmět: |
Decision support system
Engineering Optimization problem Renewable Energy Sustainability and the Environment business.industry Water flow Energy Engineering and Power Technology Mechanical engineering Energy consumption Automotive engineering Nuclear Energy and Engineering Distributed generation Management system business Waste Management and Disposal Energy (signal processing) Civil and Structural Engineering Efficient energy use |
Zdroj: | Journal of Energy Engineering. 140 |
ISSN: | 1943-7897 0733-9402 |
DOI: | 10.1061/(asce)ey.1943-7897.0000143 |
Popis: | Deregulation of the energy sector has created new markets for producers as well as opportunities for consumers to meet their needs in a more customized way. Yet, traditional building energy management systems operate statically by adjusting air or water flow in heating and cooling systems in response to predetermined triggers, in relation to large deviations in the zone temperature from the equipment’s set-point temperature. The writers provide decision support to managers of buildings through dynamic control of the installed equipment that seeks to minimize energy costs. Assuming that the building’s occupants have comfort preferences expressed by upper and lower limits for the temperature, the writers model the effect of active equipment control (through changes to either the set point or valve flow) on the zone temperature, taking into account the external temperature, solar gains, building’s shell, and internal loads. The energy required to change the zone temperature in each time period is then used to calculate the energy cost in the objective function of an optimization problem. By implementing the model for actual public buildings, the writers demonstrate the advantages of more active equipment-management in terms of lower costs and energy consumption. |
Databáze: | OpenAIRE |
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