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Multi-objective optimisation in air-conditioning systems : comfort/discomfort definition by IF sets.

By Plamen Angelov

Abstract

The problem of multi-objective optimisation of air-conditioning (AC) systems is treated in the paper in the framework of intuitionistic fvzzy (lF) set theory. The nature of the problem is multi-objective one with requirements for minimal costs (generally, life cycle costs; more specifically, energy costs) and maximal occupants' comfort (minimal discomforl). Moreover, its definition by conventional means is bounded to a number of restrictions and assumptions, which are often far from the real-life situations. Attempts have been made to formulate and solve this problem by means of the fuzzy optimisation [4]. The present paper makes further step by exploring the innovative concept of IF sets [6] into definition of the trickiest issue: comfort and discomforr definition. The new approach allows to formulate more precisely the problem which compromises energy saving and thermal comfort satisfaction under given constraints. The resulting IF optimisation problem could be solved numerically or, under some assumptions, analytically Il]-t21. An example illustrates the viability of the proposed approach. A solution which significantly (with 3S%) improves comfort is found which is more energetically expensive with only 0.6Yo. This illustrates the possibility to use the approach for trade-off analysis in multi-objective optimisation of AC systems

Year: 2001
OAI identifier: oai:eprints.lancs.ac.uk:27101
Provided by: Lancaster E-Prints

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Citations

  1. (1999). A Fuzzy Approach to Multi-Objective Optimization of Building Thermal Systems,
  2. A Generalized Approach to Fuzzy Optimization,
  3. (2000). A Hierarchical Fuzzy Genetic Mulati-agent Architecture for
  4. (1999). A Multiagent Architecture for Intelligent Building Sensing and Control, Sensor Review,19
  5. (1993). An Algorithm for Solving a Fvzzy Linear Programming, in:
  6. (1995). An Anall'tical Method for Solving a Type of Fuzzy Optimization Problems,
  7. (1989). An Interactive Fuzzy Satisficing Method for Multiobjective Non Linear Programming Problems with Fuzzy Parameters, Fuzzy Sets and
  8. (1994). Approximate Reasoning Based Optimizati on,
  9. (1992). Artificial Intelligence for Buildings, lpplied Energt,4l,
  10. (1997). Building Brains for Rooms: Designing Distributed Software Agents,
  11. (1995). CrispiJication: Defuzzifrcation over Intuitionistic Fuzzy Sets,
  12. Decision Making in a Fuzzy Environment,
  13. (2000). Evolving Fuzzy Rule-based Models,
  14. (1995). Flzzy logic and NN approach to thermal description of buildings,
  15. (1998). Flzzy Modeling of Thermal Behavior
  16. (1984). Fuzzy Linear Programming Problems with Fuzzy Numbers,
  17. (1983). Fuzzy Mathematical Programmin g,
  18. (1992). Fuzzy Optimal Control, Fuzzy Sets and
  19. (1985). Fuzzy Sets- Theory and its Application (Kluwer,
  20. (1988). Fvzzy Optimization: An Appraisal, Fuzzy Sets and
  21. (1995). Handling Multicriteria Fuzzy Decision Making Problems Based on Intuitionistic Fuzzy Sets, Notes on Intuitionistic Fuzzy Sets | (l)
  22. (1995). Ideas for Intuitionistic Fuzzy Equations, Inequalities and Optimisation, Notes on Intuitionistic Fuzzy Sets,
  23. (2001). Indoor Environment Quality in Buildings and its Impact on Outdoor Environment,
  24. (1989). Inequality Relations in Fv4r Constraints and its use in Linear Fuzzy Optimization, in:
  25. (1995). Intuitionistic Fuzzy Optimization, Notes on Intuitionistic Fuzzy Sets,1,27-33,
  26. (1986). Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems,20,87-96,
  27. (2000). M.Colley, H.Hagras, A Soft-Computing DAI Architecture for Intelligent Buildings,
  28. (1995). Moderate Thermal Environments - Determination of the PMV and PPD indices and specification of the conditiow for thermal comfort,
  29. Optimal Predictive Control of Thermal Storage in Hollow Core Ventilated Slab Systems, P h. D.Thesrs,
  30. Optimization in an Intuitionisti c Fvzzy Environment, Fwzy Sets and Systems,86,
  31. (1998). The Neural Network House: An Environment that Adapts to Its Inhabitants,
  32. Thermal Comfort: use of Controls in Naturally Ventilated Buildings,

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