Decision-making framework for positive energy building design through key performance indicators relating geometry, localization, energy and PV system integration

被引:13
作者
Barrutieta, X. [1 ,2 ]
Kolbasnikova, A. [2 ]
Irulegi, O. [1 ]
Hern, R. [1 ]
机构
[1] Univ Basque Country, Architecture Dept, CAVIAR Qual Life Architecture Res Grp, UPV EHU, Plaza Onate 2, Donostia San Sebastian 20018, Spain
[2] Barru Arkitektura SLP, Carlos I 28, Donostia San Sebastian 20011, Spain
关键词
Positive energy building (PEB); Energy self-sufficiency; PV system integration; Design process KPIs; Office building case study; NET-ZERO; PHOTOVOLTAIC SYSTEM; BIPV;
D O I
10.1016/j.enbuild.2023.113442
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The effectiveness of positive energy building (PEB) design largely depends on a balanced approach between building design and energy performance. The current common architectural process is lacking guidelines to address the impact of early design decisions in achieving the energy positive building goals. A selection of case study office buildings with an intended architectural diversity provide homogenized real data for this research. The aim is to find connections among four fields that are relevant for the PEB design process: building geometry, location, energy consumption and building integrated photovoltaics. The interrelations among them are synthesized in several novel key performance indicators (KPIs) that conclude, i.a., that only buildings with a roofto-facade area ratio higher than 28% may achieve a 100% self-sufficiency. The PV area corresponding to 15% of the envelope is a necessary starting threshold to achieve a self-sufficient PEB. The installed power capacity of the PV system should be above 30 Wp/m2c. The main contribution is a decision-making framework that can be sequentially applied providing useful limits, thresholds and figures that guide towards effective architectural decisions for PV system integration in the early PEB design process.
引用
收藏
页数:17
相关论文
共 82 条
[1]  
Agence Guiraud-Manenc, 2017, Arkinova Activity Generator
[2]  
Ala-Juusela M., 2020, EXCESS Deliverable 1.1
[3]   Energy performance evaluation of a net plus-energy residential building with grid-connected photovoltaic system in Brazil [J].
Almeida Davi, Giovani ;
Caamano-Martin, Estefania ;
Ruther, Ricardo ;
Solano, Juan .
ENERGY AND BUILDINGS, 2016, 120 :19-29
[4]  
annex83.jea.ebc, IEA EBC Annex 83 Positive Energy Districts
[5]  
[Anonymous], 2015, Climate data for cities worldwide
[6]   Net zero-energy buildings in Germany: Design, model calibration and lessons learned from a case-study in Berlin [J].
Ascione, Fabrizio ;
Bianco, Nicola ;
Boettcher, Olaf ;
Kaltenbrunner, Robert ;
Vanoli, Giuseppe Peter .
ENERGY AND BUILDINGS, 2016, 133 :688-710
[7]   The zero building: an exemplary nearly zero energy office building (NZEB) and its potential to become a positive energy building (PEB) [J].
Barrutieta, X. ;
Gainza, J. ;
Irulegi, O. ;
Hernandez, R. .
ARCHITECTURAL SCIENCE REVIEW, 2023, 66 (03) :214-225
[8]  
Barrutista X, 2023, Archit. Sci. Rev., V66, P25, DOI [10.1080/00038625.2022.2134091, DOI 10.1080/00038625.2022.2134091]
[9]  
BIDVBOOST Consortium, 2020, Potential contribution to BIPV systems to nearly Zero Energy Buildings and methodology for project outputs assessment
[10]  
Bintinger P., SCHONE NEUE GEBAUDE: QUALITAT SICHERN IN DERGEBAUDENUTZUNG ERFAHRUNGEN AUS DEM PILOTPROJEKT WINDKRAFT SIMONSFELD