Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Minimizing Operating Costs of Vapor Compression Equipment with Optimal Service Scheduling
Dynamic programming was used to obtain optimal service schedules and costs for cleaning the condensers and evaporators of air-conditioning equipment. Results were obtained for a range of service and energy costs, characteristic fouling times, and equipment sizes for a single building and location. Minimum operating costs were compared with regular service intervals (representative of current practice) and a strategy where service is only performed when a constraint is violated (e.g., a comfort violation). It was found that optimal service scheduling reduced lifetime operating costs by as much as a factor of two over regular service intervals, and by 50% when compared to constrained only service. For practical implementation, a simple near-optimal algorithm for estimating optimal service scheduling was developed that does not require on-line forecasting or numerical optimization and is easily implemented within a micro-controller. Over the wide range of cases tested, the near-optimal algorithm gave operating costs that were within 1% of optimal. This technique could also be applied to other systems where performance degradations are important such as large chillers and power plants.
Minimizing Operating Costs of Vapor Compression Equipment with Optimal Service Scheduling
Dynamic programming was used to obtain optimal service schedules and costs for cleaning the condensers and evaporators of air-conditioning equipment. Results were obtained for a range of service and energy costs, characteristic fouling times, and equipment sizes for a single building and location. Minimum operating costs were compared with regular service intervals (representative of current practice) and a strategy where service is only performed when a constraint is violated (e.g., a comfort violation). It was found that optimal service scheduling reduced lifetime operating costs by as much as a factor of two over regular service intervals, and by 50% when compared to constrained only service. For practical implementation, a simple near-optimal algorithm for estimating optimal service scheduling was developed that does not require on-line forecasting or numerical optimization and is easily implemented within a micro-controller. Over the wide range of cases tested, the near-optimal algorithm gave operating costs that were within 1% of optimal. This technique could also be applied to other systems where performance degradations are important such as large chillers and power plants.
Minimizing Operating Costs of Vapor Compression Equipment with Optimal Service Scheduling
Rossi, Todd M. (Autor:in) / Braun, James E. (Autor:in)
HVAC&R Research ; 2 ; 3-25
01.01.1996
23 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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