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Patrizia Simeoni
DPIA-Polytechnic Department of Engineering and Architecture, University of Udine, Via delle Scienze 206, 33100 Udine, Italy

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Journal article
Published: 29 July 2021 in Sustainability
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Decarbonizing the cold chain is a priority for sustainability due to the increasing demand for chilled/frozen food and pharmaceutics. Refrigerated transport requires additional fuel for refrigeration other than for traction. Photovoltaic panels on the vehicle rooftop, a battery bank, and a power conversion system can replace the diesel engine driving the transport refrigerated unit. In long-haul deliveries, vehicles cross zones with different climate conditions, which affect both refrigeration requirements and photovoltaic energy conversion. Mandatory driver’s breaks and rest also affect delivery timing and energy consumption. A multiperiod, multizone optimization model is developed to size the onboard photovoltaic system, based on features of the delivery tour. The model is applied to a palletized chilled food delivery from North-Eastern Italy, showing a payback time of around four years, which can drop under two years for expected reduction of component costs. Economic and environmental performances can be increased by also allowing refrigerated products on-board during the return journey, leading to more fuel savings. Photovoltaic-integrated long-haul delivery for frozen products is not convenient at current market costs. Different climate conditions are tested, showing the model ability to act as a decision support tool to foster renewable energy penetration into the cold chain.

ACS Style

Antonella Meneghetti; Chiara Pagnin; Patrizia Simeoni. Decarbonizing the Cold Chain: Long-Haul Refrigerated Deliveries with On-Board Photovoltaic Energy Integration. Sustainability 2021, 13, 8506 .

AMA Style

Antonella Meneghetti, Chiara Pagnin, Patrizia Simeoni. Decarbonizing the Cold Chain: Long-Haul Refrigerated Deliveries with On-Board Photovoltaic Energy Integration. Sustainability. 2021; 13 (15):8506.

Chicago/Turabian Style

Antonella Meneghetti; Chiara Pagnin; Patrizia Simeoni. 2021. "Decarbonizing the Cold Chain: Long-Haul Refrigerated Deliveries with On-Board Photovoltaic Energy Integration." Sustainability 13, no. 15: 8506.

Journal article
Published: 14 September 2020 in Energies
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Wastewater treatment plants (WWTPs) are known to be one of the most energy-intensive industrial sectors. In this work, demand response was applied to the biological phase of wastewater treatment to reduce plant electricity cost, considering that the daily peak in flowrate typically coincides with the maximum electricity price. Compressed air storage system, composed of a compressor and an air storage tank, was proposed to allow energy cost reduction. A multi-objective modelling approach was applied by analyzing different scenarios (with and without anaerobic digestion, AD), considering both plant characteristics (in terms of treated flowrate and influent chemical oxygen demand, COD, concentration) and storage system properties (volume, air pressure), together with the current Italian market economic conditions. The results highlight that air tank volume has a strong positive influence on the obtainable economic savings, with a less significant impact held by air pressure, COD concentration and flowrate. In addition, biogas exploitation from AD led to an improvement in economic indices. The developed model is highly flexible and can be applied to different WWTPs and market conditions.

ACS Style

Mattia Cottes; Matia Mainardis; Daniele Goi; Patrizia Simeoni. Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach. Energies 2020, 13, 4780 .

AMA Style

Mattia Cottes, Matia Mainardis, Daniele Goi, Patrizia Simeoni. Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach. Energies. 2020; 13 (18):4780.

Chicago/Turabian Style

Mattia Cottes; Matia Mainardis; Daniele Goi; Patrizia Simeoni. 2020. "Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach." Energies 13, no. 18: 4780.

Journal article
Published: 22 March 2019 in Energy
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To achieve the EU climate and energy objectives, a transition towards a future sustainable energy system is needed. The integration of the huge potential for industrial waste heat recovery into smart energy system represents a main opportunity to accomplish these goals. To successfully implement this strategy, all the several stakeholders' conflicting objectives should be considered. In this paper an evolutionary multi-objective optimization model is developed to perform a sustainability evaluation of an energy system involving an industrial facility as the waste heat source and the neighbourhood as district heating network end users. An Italian case study of heat recovery from a steel casting facility shows how the model allows to properly select the district heating network set of users to fully exploit the available waste energy. Design directions such as the thermal energy storage capacity can be also provided. Moreover, the model enables the analysis of the trade-off between the stakeholders’ different perspectives, allowing to identify possible win-win solutions for both the industrial sector and the citizenship.

ACS Style

Patrizia Simeoni; Gellio Ciotti; Mattia Cottes; Antonella Meneghetti. Integrating industrial waste heat recovery into sustainable smart energy systems. Energy 2019, 175, 941 -951.

AMA Style

Patrizia Simeoni, Gellio Ciotti, Mattia Cottes, Antonella Meneghetti. Integrating industrial waste heat recovery into sustainable smart energy systems. Energy. 2019; 175 ():941-951.

Chicago/Turabian Style

Patrizia Simeoni; Gellio Ciotti; Mattia Cottes; Antonella Meneghetti. 2019. "Integrating industrial waste heat recovery into sustainable smart energy systems." Energy 175, no. : 941-951.

Journal article
Published: 20 August 2018 in Energy
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To maximize the environmental performance of the energy systems, a paradigm change towards the concept of smart multi energy systems is needed. Optimal planning, design and operation of such energy systems, which efficiently integrate different energy sources, vectors and needs, is intrinsically a multi-objective problem in terms of sustainability. In this study, a decision support system based on performance indicators and Pareto multi-objective optimization is developed. System design combines renewable energy sources and combined cooling heat and power serving a cluster of firms through district energy distribution networks. Results show that the model enables the analysis of the trade-off between the different objective functions, allowing to identify the optimal energy systems layout through the selection of the proper size of the generation units. It also provides design directions such as the thermal energy storage capacity. The case study evidences that the smart energy systems concept can really represent a main opportunity to industrial districts both from the sustainability and the competitiveness perspective. Research also suggests that some financial incentives should be studied so that the solution providing the largest energy saving and carbon dioxide emission reduction could improve its economic attractiveness.

ACS Style

Patrizia Simeoni; Gioacchino Nardin; Gellio Ciotti. Planning and design of sustainable smart multi energy systems. The case of a food industrial district in Italy. Energy 2018, 163, 443 -456.

AMA Style

Patrizia Simeoni, Gioacchino Nardin, Gellio Ciotti. Planning and design of sustainable smart multi energy systems. The case of a food industrial district in Italy. Energy. 2018; 163 ():443-456.

Chicago/Turabian Style

Patrizia Simeoni; Gioacchino Nardin; Gellio Ciotti. 2018. "Planning and design of sustainable smart multi energy systems. The case of a food industrial district in Italy." Energy 163, no. : 443-456.

Journal article
Published: 24 April 2018 in Energies
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In the industrial food supply chain, cold storage is one of the most important processes where there is a huge but still unused potential for employing renewable energy technologies. This paper analyses how the integration of rooftop photovoltaics affects the design and performance of refrigerated automated warehouses, which are becoming the preferred choice for frozen food storage facilities. The problem is modelled and solved by means of Constraint Programming. Results for the reference case in north-eastern Italy show that photovoltaic installation can lead to both yearly total cost and energy savings. Simulations highlight how design and performance of the refrigerated automated warehouse strictly depend on supply chain decision variables. PV integration offers supply chain managers more opportunities to act on the storage temperature and the incoming product temperatures strictly related to upstream and downstream stages of the whole cold chain. Attention should be paid to system throughput, which presents an intermediate range for which the design optimization of volume and surfaces reduces the convenience of PV integration. Simulations on facility locations reveal how different climate conditions affect the economic and environmental performance of the refrigerated warehouse, as well as country specific carbon intensity and energy price.

ACS Style

Antonella Meneghetti; Fabio Dal Magro; Patrizia Simeoni. Fostering Renewables into the Cold Chain: How Photovoltaics Affect Design and Performance of Refrigerated Automated Warehouses. Energies 2018, 11, 1029 .

AMA Style

Antonella Meneghetti, Fabio Dal Magro, Patrizia Simeoni. Fostering Renewables into the Cold Chain: How Photovoltaics Affect Design and Performance of Refrigerated Automated Warehouses. Energies. 2018; 11 (5):1029.

Chicago/Turabian Style

Antonella Meneghetti; Fabio Dal Magro; Patrizia Simeoni. 2018. "Fostering Renewables into the Cold Chain: How Photovoltaics Affect Design and Performance of Refrigerated Automated Warehouses." Energies 11, no. 5: 1029.

Journal article
Published: 01 July 2007 in International Journal of Energy Research
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A mixed integer linear programming model combined with a more traditional design by scenarios is proposed to optimize facilities size and operation mode of a municipal energy system involving significant civil centres and a hospital. Moving from the need of a new heat and power station for the local hospital due to the construction of new pavilions, the opportunity of involving other centres in the neighbourhood in a distributed cogeneration system is analysed, increasing system complexity step by step. Smaller cogeneration units tailored to hospital needs are rewarding ventures with relatively low risks but, in a country whose traditional power generation systems heavily rely on fossil fuels and where energy policy and market conditions can make it profitable to sell surplus power, district heating systems foster the installation of larger cogenerators and lead thereby to higher profits and to better performance as for primary energy savings and greenhouse gases emission reduction

ACS Style

Damiana Chinese; Antonella Meneghetti; Gioacchino Nardin; Patrizia Simeoni. From hospital to municipal cogeneration systems: an Italian case study. International Journal of Energy Research 2007, 31, 829 -848.

AMA Style

Damiana Chinese, Antonella Meneghetti, Gioacchino Nardin, Patrizia Simeoni. From hospital to municipal cogeneration systems: an Italian case study. International Journal of Energy Research. 2007; 31 (9):829-848.

Chicago/Turabian Style

Damiana Chinese; Antonella Meneghetti; Gioacchino Nardin; Patrizia Simeoni. 2007. "From hospital to municipal cogeneration systems: an Italian case study." International Journal of Energy Research 31, no. 9: 829-848.