Analysis of the Impact of Funding Policies for the Energy Refurbishment of Buildings Using Dynamic Simulations

被引:1
|
作者
Calise, Francesco [1 ]
Cappiello, Francesco Liberato [1 ]
Cimmino, Luca [1 ]
Vicidomini, Maria [1 ]
机构
[1] Univ Naples Federico II, Dept Ind Engn, Ple Tecchio 80, I-80125 Naples, Italy
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 19期
关键词
building energy-saving actions; building dynamic simulation; funding policy;
D O I
10.3390/app14198900
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Dynamic simulations can accurately estimate the thermal demands for space heating and cooling in buildings, as well as the energy and economic performance of specific energy refurbishment actions. This study aims to evaluate the energy and economic savings resulting from the adoption of particular energy measures applied to a cluster of residential condominium buildings, also considering some possible Italian funding policies. To this scope, dynamic simulation models of several buildings with different features in terms of geometry, shape, and thermo-physical properties are considered. The selected buildings are representative of the most common buildings in the city of Naples, Southern Italy. Two scenarios regarding the possible penetration of the refurbishment actions are considered: the "25% scenario", where 25% of buildings in the Naples municipality adopt the selected measures, and the "100% scenario", where all buildings adopt such energy refurbishment actions. The results of the simulations, reported over different time periods, compare the economic, energy, and environmental benefits of the specific energy measures. This study evaluates the replacement of conventional natural gas-fired boilers with natural gas-fired condensing boilers, as well as the use of thermal insulation on the external walls of the buildings. The primary energy demand for space heating decreased by 28% when the proposed energy measures were implemented in all buildings of the Naples municipality.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Energy analysis and refurbishment strategy for Zagreb University buildings: Former Faculty of Technology in Zagreb by Alfred Albini
    Ostojic, Stanka
    Versic, Zoran
    Muraj, Iva
    ENERGY AND BUILDINGS, 2016, 115 : 47 - 54
  • [22] Decomposition analysis of distributive policies using behavioural simulations
    Bargain, Olivier
    INTERNATIONAL TAX AND PUBLIC FINANCE, 2012, 19 (05) : 708 - 731
  • [23] Decomposition analysis of distributive policies using behavioural simulations
    Olivier Bargain
    International Tax and Public Finance, 2012, 19 : 708 - 731
  • [24] Analysis of the dynamic impact of environmental policies on reverse logistics
    P. Georgiadis
    D. Vlachos
    Operational Research, 2003, 3 (2) : 123 - 135
  • [25] Big Buildings and Big Data: Do Energy Disclosure Policies Impact Energy Use over Time?
    Papadopoulos, Sokratis
    Kontokosta, Constantine E.
    COMPUTING IN CIVIL ENGINEERING 2017: SMART SAFETY, SUSTAINABILITY, AND RESILIENCE, 2017, : 248 - 255
  • [26] Comparison of the energy performance of existing buildings by means of dynamic simulations and Artificial Neural Networks
    Buratti, Cinzia
    Orestano, Francesco Cristarella
    Palladino, Domenico
    71ST CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION (ATI 2016), 2016, 101 : 176 - 183
  • [27] The impact of an ideal dynamic building envelope on the energy performance of low energy office buildings
    Goia, Francesco
    Cascone, Ylenia
    RENEWABLE ENERGY RESEARCH CONFERENCE, RERC 2014, 2014, 58 : 185 - 192
  • [28] RE-USE OF HISTORIC BUILDINGS AND ENERGY REFURBISHMENT ANALYSIS VIA BUILDING PERFORMANCE SIMULATION A Case Study
    Sekularac, Nenad D.
    Sumarac, Dragoslav M.
    Tovarovic, Jasna Lj. Cikic
    Cokic, Milos M.
    Ivanovic-sekularac, Jelena A.
    THERMAL SCIENCE, 2018, 22 (06): : 2335 - 2354
  • [29] Energy analysis of a non-linear dynamic impact using FEM
    Lund, Espen
    Jecmenica, Mladen
    Karimi, Hamid Reza
    Robbersmyr, Kjell G.
    Melteig, Ole
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 6075 - 6080
  • [30] Influence analysis of energy policies on comprehensive performance of CCHP system in different buildings
    Kang, Ligai
    Wu, Xiaojing
    Yuan, Xiaoxue
    Ma, Kunru
    Wang, Yongzhen
    Zhao, Jun
    An, Qingsong
    ENERGY, 2021, 233