A methodology to support the decision-making process for energy retrofitting at district scale

被引:21
作者
Stanica, Diana-Iulia [1 ]
Karasu, Arda [2 ]
Brandt, Daniel [1 ]
Kriegel, Martin [1 ]
Brandt, Stefan [1 ]
Steffan, Claus [2 ]
机构
[1] Tech Univ Berlin, Hermann Rietschel Inst, Chair Energy Comfort & Hlth Bldg, Berlin, Germany
[2] Tech Univ Berlin, Chair Bldg Technol & Architectural Design, Berlin, Germany
关键词
Energy retrofits; Decision-making; Urban energy planning; District retrofitting;
D O I
10.1016/j.enbuild.2021.110842
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The need to accelerate energy retrofitting and integrate renewable energies in the built environment sec-tor has been recognized by the European Union and its member states, with many policies and directives already in place. However, compared with single building retrofitting, there are no established approaches for energy retrofitting at district and urban scales, in part due to the complexity of the com-putational problem and the decision-making process. In the transition towards low-carbon cities, new approaches to assess a variety of energy efficiency and renewable energy generation solutions for large building stocks at acceptable computational costs are needed. Moreover, stakeholders require flexible and adaptable tools to support the selection of the most cost-effective retrofitting scenario. In this con -text, this study proposes a new methodology for the planning of energy retrofitting at urban scale. By extending the system boundary from single buildings to a whole district, local energy potentials and innovative measures can be identified. Furthermore, an integrative approach involving a large variety of energy conservation and renewable energy generation measures, evaluated at different scales and levels of detail is proposed. Finally, a simple but flexible tool to aid the decision-making process has been devel-oped. The tool chooses the best performing measures out of a variety of alternatives, prioritizes them in order of their cost-efficiency, and generates a retrofitting roadmap for the district depending on the desired goal or capital of the project. The results can be adapted to changing parameters such as energy prices or CO2-emissions, ensuring the flexibility and adaptability of the decision-making process through-out the implementation. (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:17
相关论文
共 45 条
[1]   Methodology for Evaluating Innovative Technologies for Low-Energy Retrofitting of Public Buildings [J].
Ahmed, Abdullahi ;
Mateo-Garcia, Monica ;
McGough, Danny ;
Gaterell, Mark .
SUSTAINABLE SOLUTIONS FOR ENERGY AND ENVIRONMENT, EENVIRO 2016, 2017, 112 :166-175
[2]   A Decision Making Tool for a Comprehensive Evaluation of Building Retrofitting Actions at the Regional Scale [J].
Albatici, Rossano ;
Gadotti, Alessia ;
Baldessari, Christian ;
Chiogna, Michela .
SUSTAINABILITY, 2016, 8 (10)
[3]   A review of modelling approaches and tools for the simulation of district-scale energy systems [J].
Allegrini, Jonas ;
Orehounig, Kristina ;
Mavromatidis, Georgios ;
Ruesch, Florian ;
Dorer, Viktor ;
Evins, Ralph .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 52 :1391-1404
[4]  
[Anonymous], 2011, HOLISTIC STRATEGIES
[5]  
[Anonymous], 2011, Europe's buildings under the microscope
[6]  
B. und R. BMU-Bundesministerium fur Umwelt, 2017, NATURSCHUTZ KLIMASCH, P68
[7]   Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA project [J].
Ballarini, Ilaria ;
Corgnati, Stefano Paolo ;
Corrado, Vincenzo .
ENERGY POLICY, 2014, 68 :273-284
[8]   The outdoor microclimate benefits and energy saving resulting from green roofs retrofits [J].
Berardi, Umberto .
ENERGY AND BUILDINGS, 2016, 121 :217-229
[9]  
BMU, 2016, KLIM 2050, V2016, P1, DOI [10.1016/j. aqpro.2013.07.003, DOI 10.1016/J.AQPRO.2013.07.003]
[10]  
Buildings Performance Institute Europe, 2015, RENOVATING GERMANYS