Open access decision support for sustainable buildings and neighborhoods: The nano energy system simulator NESSI
Publication type: Journal Article
Publication date: 2023-06-01
scimago Q1
wos Q1
SJR: 1.858
CiteScore: 14.3
Impact factor: 7.6
ISSN: 03601323, 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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6
Total citations:
6
Citations from 2024:
5
(83.33%)
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GOST
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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.
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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.
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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 -
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@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}
}
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