Details
Original language | English |
---|---|
Article number | 110296 |
Journal | Building and environment |
Volume | 237 |
Early online date | 11 Apr 2023 |
Publication status | Published - 1 Jun 2023 |
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.
Keywords
- Decision support system, Design science research, Energy system simulation, Open access web tool, Renewable energy
ASJC Scopus subject areas
- Environmental Science(all)
- Environmental Engineering
- Engineering(all)
- Civil and Structural Engineering
- Social Sciences(all)
- Geography, Planning and Development
- Engineering(all)
- Building and Construction
Sustainable Development Goals
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In: Building and environment, Vol. 237, 110296, 01.06.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Open access decision support for sustainable buildings and neighborhoods
T2 - The nano energy system simulator NESSI
AU - Eckhoff, Sarah
AU - Hart, Maria C.G.
AU - Brauner, Tim
AU - Kraschewski, Tobias
AU - Heumann, Maximilian
AU - Breitner, Michael H.
N1 - Funding Information: Funded by the Lower Saxony Ministry of Science and Culture under grant number 11-76251-13-3/19 – ZN3488 within the Lower Saxony “Vorab” of the Volkswagen Foundation and supported by the Center for Digital Innovations (ZDIN) .
PY - 2023/6/1
Y1 - 2023/6/1
N2 - 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.
AB - 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.
KW - Decision support system
KW - Design science research
KW - Energy system simulation
KW - Open access web tool
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85152595288&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2023.110296
DO - 10.1016/j.buildenv.2023.110296
M3 - Article
AN - SCOPUS:85152595288
VL - 237
JO - Building and environment
JF - Building and environment
SN - 0360-1323
M1 - 110296
ER -