Design and control optimisation of adaptive insulation systems for office buildings. Part 2: A parametric study for a temperate climate

Energy

Volumn 127, Issue , 2017, Pages 634-649

  Jin, Qian ^a   Favoino, Fabio ^b   Overend, Mauro ^c  

^a TONGJI UNIVERSITY   (China)

^b Eckersley o'Callaghan Ltd   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Adaptive insulation; Building performance simulation; Multi objective design; Parametric study; Temperate climate

Indexed keywords

ARCHITECTURAL DESIGN; CLIMATOLOGY; ENERGY CONSERVATION; OFFICE BUILDINGS; THERMAL COMFORT; THERMAL INSULATION;

BUILDING PERFORMANCE SIMULATIONS; COMFORT IMPROVEMENT; MULTI-OBJECTIVE DESIGN; PARAMETRIC STUDY; PRIMARY ENERGY SAVINGS; SIMULATION FRAMEWORK; SIMULATION STRATEGIES; TEMPERATE CLIMATE;

ADAPTIVE CONTROL SYSTEMS;

BUILDING; CONTROL SYSTEM; DESIGN METHOD; ENERGY CONSERVATION; INSULATION; OPTIMIZATION; PARAMETERIZATION; PERFORMANCE ASSESSMENT; TEMPERATE ENVIRONMENT; TYPOLOGY;

CHINA; SHANGHAI;

EID: 85017218589     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2017.03.096     Document Type: Article

References (29)

1. [1] Pflug, T., Kuhn, T.E., Nörenberg, R., Glück, A., Nestle, N., Maurer, C., Closed translucent façade elements with switchable U-value—a novel option for energy management via the facade. Energy Build 86 (2015), 66–73, 10.1016/j.enbuild.2014.09.082 ISSN 0378-7788.
2. [2] Berge, A., Hagentoft, C.E., Wahlgren, P., Adl-Zarrabi, B., Effect from a variable U-Value in adaptive building components with controlled internal air pressure. Energy Procedia 78 (2015), 376–381, 10.1016/j.egypro.2015.11.677 ISSN 1876-6102.
3. [3] Assimakopoulos, M.N., Tsangrassoulis, A., Santamouris, M., Guarracino, G., Comparing the energy performance of an electrochromic window under various control strategies. Build Environ 42 (2007), 2829–2834, 10.1016/j.buildenv.2006.04.004.
4. [4] Jonsson, A., Roos, A., Evaluation of control strategies for different smart window combinations using computer simulations. Sol Energy 84:1 (2010), 1–9, 10.1016/j.solener.2009.10.021 ISSN 0038-092X.
5. [5] Warwick, M., Ridley, I., Binions, R., The effect of transition hysteresis width in thermochromic glazing systems. Open J Energy Effic 2 (2013), 75–88, 10.4236/ojee.2013.22011.
6. [6] Favoino, F., Fiorito, F., Cannavale, A., Ranzi, G., Overend, M., Optimal control and performance of photovoltachromic switchable glazing for building integration in temperate climates. Appl Energy 178 (2016), 943–961.
7. [7] Energy Research Institute of National Development and Reform Commission of China (ERINDRCC), General principles for calculation of total production energy consumption (GB/T 2589-2008). China. 2008.
8. [8] Evins, R., Multi-level optimization of building design, energy system sizing and operation. Energy 90 (2015), 1775–1789.
9. [9] Gan, G., Numerical evaluation of thermal comfort in rooms with dynamic insulation. Build Environ 35 (2000), 445–453.
10. [10] Nielsen, M.V., Svendsen, S., Jensen, L.B., Quantifying the potential of automated dynamic solar shading in office buildings through integrated simulations of energy and daylight. Sol Energy 85:5 (2011), 757–768.
11. [11] Bionda, D., Menti, U.P., Manz, H., Kann eine Gebaüdehülle Mit Steuerbarem U-Wert Zur Reduktion Des Kühlenenergiebedarfs Beitragen?. Proceedings of BauSIM2014, the fifth German-Austrian IBPSA conference, 2014, 649–655.
12. [12] Burdajewicz, F., Korjenic, A., Bednar, T., Bewertung Und Optimierung von Dynamischen Dämmsystemen Unter Berücksichtigung Des Wiener Klimas. Bauphysik 33:1 (2011), 49–58.
13. [13] Corbin, C.D., Henze, G.P., May-Ostendorp, P., A model predictive control optimization environment for real-time commercial building application. J Build Perform Simul 6:3 (2013), 159–174.
14. [14] Wang, S., Ma, Z., Supervisory and optimal control of building HVAC systems: a review. HVAC&R Res 14:1 (2008), 3–32.
15. [15] Jin, Q., Favoino, F., Overend, M., The potential opaque adaptive façades for office buildings in a temperate climate. Proceedings of building simulation 2015 conference, 2015, 98–105.
16. [16] Carlucci, S., Pagliano, L., A review of indices for the long-term evaluation of the general thermal comfort conditions in buildings. Energy Build 53 (2012), 194–205, 10.1016/j.enbuild.2012.06.015 ISSN 0378-7788.
17. [17] Carlucci, S., Cattarin, G., Causone, F., Pagliano, L., Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II). Energy Build 104 (2015), 378–394.
18. [18] Carlucci, S., Thermal comfort assessment of buildings. 2013, Springer.
19. [19] EN ISO 7730, Ergonomics of the thermal environment – analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria. 2005.
20. [20] EN ISO 15251, Indoor environmental parameters for assessment of energy performance of buildings- addressing indoor air quality, thermal environment, lighting and acoustics. 2007.
21. [21] ANSI/ASHRAE Standard 55, Thermal environmental conditions for human occupancy. 2010.
22. [22] Ashouri, A., Fux, S.S., Benz, M.J., Guzzella, L., Optimal design and operation of building services using mixed-integer linear programming techniques. Energy 59 (2013), 365–376.
23. [23] Fanger, P.O., Thermal comfort: analysis and applications in environmental engineering. 1970, Danish Technical Press, Copenhagen.
24. [24] Deb, K., Pratap, A., Agarwal, S., Meyarivan, T., A fast and elitist multiobjective genetic algorithm: NSGA II. IEEE Trans Evol Comput 6:2 (2002), 182–197.
25. [25] Lee, W.S., Lin, Y.C., Evaluating and ranking energy performance of office buildings using Grey relational analysis. Energy 36:5 (2011), 2551–2556.
26. [26] Kimber, M., Clark, W.W., Schaefer, L., Conceptual analysis and design of a partitioned Multifunctional smart insulation. Appl Energy 114 (2014), 310–319.
27. [27] MOHURD (Ministry of Housing and Urban-Rural Development of China), Design standard for energy efficiency of public buildings GB50189-2005.China. 2005.
28. [28] May-Ostendorp, P., Henze, G.P., Corbin, C.D., Rajagopalan, B., Felsmann, C., Model-predictive control of mixed-mode buildings with rule extraction. Build Environ 46:2 (2011), 428–437.
29. [29] May-Ostendorp, P.T., Henze, G.P., Rajagopalan, B., Kalz, D., Experimental investigation of model predictive control-based rules for a radiantly cooled office. HVAC&R Res 19:5 (2013), 602–615.