A real industrial building: Modeling, calibration and Pareto optimization of energy retrofit

被引:63
|
作者
Ascione, Fabrizio [1 ]
Bianco, Nicola [1 ]
Iovane, Teresa [1 ]
Mauro, Gerardo Maria [2 ]
Napolitano, Davide Ferdinando [3 ]
Ruggiano, Antonio [1 ]
Viscido, Lucio [4 ]
机构
[1] Univ Napoli Federico II, Dept Ind Engn, Piazzale Tecchio 80, I-80125 Naples, Italy
[2] Univ Sannio, Dept Engn, Piazza Roma 21, I-82100 Benevento, Italy
[3] Univ Bergamo, Via Salvecchio 19, I-24129 Bergamo, Italy
[4] EMEA WCM Res & Innovat Campus Mfg, Str Prov Casamassima, I-70010 Valenzano, Italy
关键词
Industrial buildings; Energy modeling and calibration; Building energy simulation; Building retrofit; Building optimization; Cost-optimal analysis; LIFE-CYCLE COST; MULTIOBJECTIVE OPTIMIZATION; THERMAL COMFORT; DESIGN OPTIMIZATION; GENETIC ALGORITHM; SIMULATION; PERFORMANCE; METHODOLOGY; FRAMEWORK; CONSUMPTION;
D O I
10.1016/j.jobe.2020.101186
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
An existing industrial building ubicated in South Italy is investigated by applying a tailored approach to optimize energy retrofit. The baseline provides high energy consumption, which needs to be tackled to promote the transition towards more sustainable buildings. Accordingly, after a detailed energy audit, the building is modeled and simulated under EnergyPlus environment using DesignBuilder (R) to characterize geometry and HVAC (heating, ventilating and air conditioning) systems. The model is calibrated against metered data as concerns the trends of indoor temperatures. Different retrofit measures are investigated, i.e., replacement of windows, implementation of solar screens, use of heat recovery, optimization of HVAC operation and installation of photovoltaics of different sizes. Thus, a large domain of solutions is explored by conducting an exhaustive research through the coupling between EnergyPlus and MATLAB (R). The research provides the Pareto optimization of building retrofit minimizing primary energy consumption and global cost for two different scenarios as regards the access to public incentives. The utopia point criterion is used to pick a solution from the Pareto front. Such solution can yield energy and global cost savings up to 81% and 45%, respectively, ensuring the same comfort level compared to the baseline. The primary energy consumption of the whole facility can be reduced up to 40.1 kWh(p)/m(2) a. The outcomes can give precious guidelines to refurbish industrial and office buildings in Mediterranean areas with a view to energy-efficiency and cost-effectiveness.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] The Strategies of Energy Efficiency Retrofit of Old Industrial Building
    Xu Lei
    Liu Li
    SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2, 2013, 409-410 : 537 - 541
  • [2] Calibration of building energy models for retrofit analysis under uncertainty
    Heo, Y.
    Choudhary, R.
    Augenbroe, G. A.
    ENERGY AND BUILDINGS, 2012, 47 : 550 - 560
  • [3] Building Energy Simulation For Nearly Zero Energy Retrofit Design: The Model Calibration
    Angelotti, Adriana
    Martire, Maricla
    Mazzarella, Livio
    Pasini, Martina
    Ballarini, Ilaria
    Corrado, Vincenzo
    De Luca, Giovanna
    Baggio, Paolo
    Prada, Alessandro
    Bosco, Francesco
    Cornaro, Cristina
    2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2018,
  • [4] Rapid Building Energy Modeling Using Prototype Model and Automatic Model Calibration for Retrofit Analysis with Uncertainty
    Chen, Yixing
    Wei, Wanlei
    Song, Chengcheng
    Ren, Zhiyi
    Deng, Zhang
    BUILDINGS, 2023, 13 (06)
  • [5] Energy retrofit of a historic building using simplified dynamic energy modeling
    Mancini, Francesco
    Cecconi, Marco
    De Sanctis, Francesca
    Beltotto, Andrea
    71ST CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION (ATI 2016), 2016, 101 : 1119 - 1126
  • [6] Energy retrofit optimization for social building in temperate climate zone
    Vallati, A.
    Fiorini, C., V
    Grignaffini, S.
    Oclon, P.
    Di Matteo, M.
    Kobylarczyk, J.
    ENERGY AND BUILDINGS, 2023, 282
  • [7] A study on building performance analysis for energy retrofit of existing industrial facilities
    Gourlis, Georgios
    Kovacic, Iva
    APPLIED ENERGY, 2016, 184 : 1389 - 1399
  • [8] Optimization Tools for Building Energy Model Calibration
    Lara, Rigoberto Arambula
    Naboni, Emanuele
    Pernigotto, Giovanni
    Cappelletti, Francesca
    Zhang, Yi
    Barzon, Furio
    Gasparella, Andrea
    Romagnoni, Piercarlo
    8TH INTERNATIONAL CONFERENCE ON SUSTAINABILITY IN ENERGY AND BUILDINGS, SEB-16, 2017, 111 : 1060 - 1069
  • [9] Modeling and Calibration of Energy Models for a DoD Building
    O'Neill, Zheng
    Eisenhower, Bryan
    Yuan, Shui
    Bailey, Trevor
    Narayanan, Satish
    Fonoberov, Vladimir
    ASHRAE TRANSACTIONS 2011, VOL 117, PT 2, 2011, 117 : 358 - 365
  • [10] Ensemble Calibration of lumped parameter retrofit building models using Particle Swarm Optimization
    Andrade-Cabrera, Carlos
    Burke, Daniel
    Turner, William J. N.
    Finn, Donal P.
    ENERGY AND BUILDINGS, 2017, 155 : 513 - 532