Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District

The integration of energy generation and consumption is one of the most effective ways to reduce energy-system-related waste, costs, and emissions in cities. This paper considers a university district consisting of 32 buildings where electrical demand is currently met by the national grid, and 31% o...

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Main Authors: Luca Bacci, Enrico Dal Cin, Gianluca Carraro, Sergio Rech, Andrea Lazzaretto
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/18/2/413
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author Luca Bacci
Enrico Dal Cin
Gianluca Carraro
Sergio Rech
Andrea Lazzaretto
author_facet Luca Bacci
Enrico Dal Cin
Gianluca Carraro
Sergio Rech
Andrea Lazzaretto
author_sort Luca Bacci
collection DOAJ
description The integration of energy generation and consumption is one of the most effective ways to reduce energy-system-related waste, costs, and emissions in cities. This paper considers a university district consisting of 32 buildings where electrical demand is currently met by the national grid, and 31% of thermal demand is supplied by a centralized heating station through a district heating network; the remainder is covered by small, dedicated boilers. Starting from the present system, the goal is to identify “retrofit” design solutions to reduce cost, environmental impact, and the primary energy consumption of the district. To this end, three new configurations of the multi-energy system (MES) of the district are proposed considering (i) the installation of new energy conversion and storage units, (ii) the enlargement of the existing district heating network, and (iii) the inclusion of new branches of the electrical and heating network. The configurations differ in increasing levels of integration through the energy networks. The results show that the installation of cogeneration engines leads to significant benefits in both economic (up to −12.3% of total annual costs) and energy (up to −10.2% of the primary energy consumption) terms; these benefits increase as the level of integration increases. On the other hand, the limited availability of space for photovoltaics results in increased CO<sub>2</sub> emissions when only total cost minimization is considered. However, by accepting a cost increase of 8.4% over the least expensive solution, a significant reduction in CO<sub>2</sub> (−23.9%) can be achieved while still keeping total costs lower than the existing MES.
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spelling doaj-art-6c034f866f8648449835b235879ea50f2025-01-24T13:31:24ZengMDPI AGEnergies1996-10732025-01-0118241310.3390/en18020413Economic–Energy–Environmental Optimization of a Multi-Energy System in a University DistrictLuca Bacci0Enrico Dal Cin1Gianluca Carraro2Sergio Rech3Andrea Lazzaretto4Department of Industrial Engineering, University of Padova, Via Venezia 1, 35131 Padova, ItalyDepartment of Industrial Engineering, University of Padova, Via Venezia 1, 35131 Padova, ItalyDepartment of Industrial Engineering, University of Padova, Via Venezia 1, 35131 Padova, ItalyDepartment of Industrial Engineering, University of Padova, Via Venezia 1, 35131 Padova, ItalyDepartment of Industrial Engineering, University of Padova, Via Venezia 1, 35131 Padova, ItalyThe integration of energy generation and consumption is one of the most effective ways to reduce energy-system-related waste, costs, and emissions in cities. This paper considers a university district consisting of 32 buildings where electrical demand is currently met by the national grid, and 31% of thermal demand is supplied by a centralized heating station through a district heating network; the remainder is covered by small, dedicated boilers. Starting from the present system, the goal is to identify “retrofit” design solutions to reduce cost, environmental impact, and the primary energy consumption of the district. To this end, three new configurations of the multi-energy system (MES) of the district are proposed considering (i) the installation of new energy conversion and storage units, (ii) the enlargement of the existing district heating network, and (iii) the inclusion of new branches of the electrical and heating network. The configurations differ in increasing levels of integration through the energy networks. The results show that the installation of cogeneration engines leads to significant benefits in both economic (up to −12.3% of total annual costs) and energy (up to −10.2% of the primary energy consumption) terms; these benefits increase as the level of integration increases. On the other hand, the limited availability of space for photovoltaics results in increased CO<sub>2</sub> emissions when only total cost minimization is considered. However, by accepting a cost increase of 8.4% over the least expensive solution, a significant reduction in CO<sub>2</sub> (−23.9%) can be achieved while still keeping total costs lower than the existing MES.https://www.mdpi.com/1996-1073/18/2/413multi-energy system (MES)university districtMILPeconomic–energy–environmental optimizationdecarbonizationprimary energy saving
spellingShingle Luca Bacci
Enrico Dal Cin
Gianluca Carraro
Sergio Rech
Andrea Lazzaretto
Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District
Energies
multi-energy system (MES)
university district
MILP
economic–energy–environmental optimization
decarbonization
primary energy saving
title Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District
title_full Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District
title_fullStr Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District
title_full_unstemmed Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District
title_short Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District
title_sort economic energy environmental optimization of a multi energy system in a university district
topic multi-energy system (MES)
university district
MILP
economic–energy–environmental optimization
decarbonization
primary energy saving
url https://www.mdpi.com/1996-1073/18/2/413
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AT enricodalcin economicenergyenvironmentaloptimizationofamultienergysysteminauniversitydistrict
AT gianlucacarraro economicenergyenvironmentaloptimizationofamultienergysysteminauniversitydistrict
AT sergiorech economicenergyenvironmentaloptimizationofamultienergysysteminauniversitydistrict
AT andrealazzaretto economicenergyenvironmentaloptimizationofamultienergysysteminauniversitydistrict