Neighborhood Energy Modeling and Monitoring: A Case Study
Francesco Causone,
Rossano Scoccia,
Martina Pelle,
Paola Colombo,
Mario Motta and
Sibilla Ferroni
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Francesco Causone: Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy
Rossano Scoccia: Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy
Martina Pelle: Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy
Paola Colombo: Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy
Mario Motta: Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy
Sibilla Ferroni: Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy
Energies, 2021, vol. 14, issue 12, 1-19
Abstract:
Cities and nations worldwide are pledging to energy and carbon neutral objectives that imply a huge contribution from buildings. High-performance targets, either zero energy or zero carbon, are typically difficult to be reached by single buildings, but groups of properly-managed buildings might reach these ambitious goals. For this purpose we need tools and experiences to model, monitor, manage and optimize buildings and their neighborhood-level systems. The paper describes the activities pursued for the deployment of an advanced energy management system for a multi-carrier energy grid of an existing neighborhood in the area of Milan. The activities included: (i) development of a detailed monitoring plan, (ii) deployment of the monitoring plan, (iii) development of a virtual model of the neighborhood and simulation of the energy performance. Comparisons against early-stage energy monitoring data proved promising and the generation system showed high efficiency (EER equal to 5.84), to be further exploited.
Keywords: building energy modeling; energy monitoring; neighborhood (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:12:p:3716-:d:579187
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