volume 237 pages 110296

Open access decision support for sustainable buildings and neighborhoods: The nano energy system simulator NESSI

Sarah Eckhoff 1
Maria Christina Gudrun Hart 1
Tim Brauner 1
Tobias Kraschewski 1
Maximilian Heumann 1
Publication typeJournal Article
Publication date2023-06-01
scimago Q1
wos Q1
SJR1.858
CiteScore14.3
Impact factor7.6
ISSN03601323, 1873684X
Environmental Engineering
Building and Construction
Civil and Structural Engineering
Geography, Planning and Development
Abstract
The urgency of climate change mitigation, rising energy prices and geopolitical crises make a quick and efficient energy transition in the building sector imperative. Building owners, housing associations, and local governments need support in the complex task to build sustainable energy systems. Motivated by the calls for more solution-oriented, practice-focused research regarding climate change and guided by design science research principles, we address this need and design, develop, and evaluate the web-based decision support system NESSI. NESSI is an open-access energy system simulator with an intuitive user flow to facilitate multi-energy planning for buildings and neighborhoods. It calculates the technical, environmental, and economic effects of 14 energy-producing, consuming, and storing components of the electric and thermal infrastructure, considers time-dependent effects, and accounts for geographic as well as sectoral circumstances. Its applicability is demonstrated with the case of a single-family home in Hannover, Germany, and evaluated through twelve expert interviews.
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GOST Copy
Eckhoff S. et al. Open access decision support for sustainable buildings and neighborhoods: The nano energy system simulator NESSI // Building and Environment. 2023. Vol. 237. p. 110296.
GOST all authors (up to 50) Copy
Eckhoff S., Hart M. C. G., Brauner T., Kraschewski T., Heumann M., BREITNER M. H. Open access decision support for sustainable buildings and neighborhoods: The nano energy system simulator NESSI // Building and Environment. 2023. Vol. 237. p. 110296.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.buildenv.2023.110296
UR - https://doi.org/10.1016/j.buildenv.2023.110296
TI - Open access decision support for sustainable buildings and neighborhoods: The nano energy system simulator NESSI
T2 - Building and Environment
AU - Eckhoff, Sarah
AU - Hart, Maria Christina Gudrun
AU - Brauner, Tim
AU - Kraschewski, Tobias
AU - Heumann, Maximilian
AU - BREITNER, MICHAEL H.
PY - 2023
DA - 2023/06/01
PB - Elsevier
SP - 110296
VL - 237
SN - 0360-1323
SN - 1873-684X
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Eckhoff,
author = {Sarah Eckhoff and Maria Christina Gudrun Hart and Tim Brauner and Tobias Kraschewski and Maximilian Heumann and MICHAEL H. BREITNER},
title = {Open access decision support for sustainable buildings and neighborhoods: The nano energy system simulator NESSI},
journal = {Building and Environment},
year = {2023},
volume = {237},
publisher = {Elsevier},
month = {jun},
url = {https://doi.org/10.1016/j.buildenv.2023.110296},
pages = {110296},
doi = {10.1016/j.buildenv.2023.110296}
}