Next Article in Journal
Load Probability Density Forecasting Under FDI Attacks Based on Double-Layer LSTM Quantile Regression
Next Article in Special Issue
A Review of Coal Fly Ash Utilization: Environmental, Energy, and Material Assessment
Previous Article in Journal
How Responsible Are Energy and Utilities Companies in Terms of Sustainability and Economic Development?
Previous Article in Special Issue
Effect of Corn Stover Ensiling on Methane Production and Carbon Dioxide Emissions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Robustness-Based Evaluation of GHG Emissions and Energy Use at Neighborhood Level †

by
Roberta Moschetti
1,*,‡ and
Shabnam Homaei
2,‡
1
Department of Architecture, Materials and Structures, SINTEF Community, 7034 Trondheim, Norway
2
Department of Architectural Engineering, SINTEF Community, 0373 Oslo, Norway
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Homaei, S.; Moschetti, R.; Clauss, J. Selection of the most high-performance and robust design for a zero-emission neighbourhood: Case study of Flytårnet area in Norway. In Proceedings of the Building Simulation 2023: 18th Conference of IBPSA, Shanghai, China, 4–6 September 2023.
These authors contributed equally to this work.
Energies 2024, 17(23), 6210; https://doi.org/10.3390/en17236210
Submission received: 4 October 2024 / Revised: 12 November 2024 / Accepted: 2 December 2024 / Published: 9 December 2024
(This article belongs to the Collection Feature Papers in Energy, Environment and Well-Being)

Abstract

Evaluating neighborhood performance is crucial for achieving long-term zero-carbon goals, enabling efficient energy, cost, and resource sharing among buildings. This task requires balancing multiple criteria and managing uncertainties, emphasizing the importance of performance robustness alongside high performance. This article introduces a flexible multi-criteria approach for evaluating neighborhood performance, focusing on greenhouse gas (GHG) emissions and energy use across different life cycle stages. Flytårnet, a Norwegian neighborhood with zero-emission ambitions, serves as a case study. The methodology incorporates the T-robust method, an established robustness-based approach, to select high-performance, resilient neighborhood designs under various uncertainties. Results indicate that when assessing buildings as key components and considering energy delivered during the operational phase, including photovoltaic generation, the supplied energy ranges from 25 to 80 kWh/m2/year. Over a 60-year period, life cycle GHG emissions span from 4 to 12 kg CO2-eq./m2/year, accounting for uncertainties and encompassing material production and replacement, as well as energy consumption and generation. However, the optimal design choice varies based on whether life cycle stages beyond the use stage are considered. This research provides valuable insights for decision-makers and designers seeking effective neighborhood designs in early-stage planning, considering diverse and conflicting performance criteria to achieve zero-emission goals.
Keywords: neighborhood performance evaluation; performance indicators; GHG emissions; operational energy use; robustness; multi-criteria decision-making neighborhood performance evaluation; performance indicators; GHG emissions; operational energy use; robustness; multi-criteria decision-making

Share and Cite

MDPI and ACS Style

Moschetti, R.; Homaei, S. Robustness-Based Evaluation of GHG Emissions and Energy Use at Neighborhood Level. Energies 2024, 17, 6210. https://doi.org/10.3390/en17236210

AMA Style

Moschetti R, Homaei S. Robustness-Based Evaluation of GHG Emissions and Energy Use at Neighborhood Level. Energies. 2024; 17(23):6210. https://doi.org/10.3390/en17236210

Chicago/Turabian Style

Moschetti, Roberta, and Shabnam Homaei. 2024. "Robustness-Based Evaluation of GHG Emissions and Energy Use at Neighborhood Level" Energies 17, no. 23: 6210. https://doi.org/10.3390/en17236210

APA Style

Moschetti, R., & Homaei, S. (2024). Robustness-Based Evaluation of GHG Emissions and Energy Use at Neighborhood Level. Energies, 17(23), 6210. https://doi.org/10.3390/en17236210

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop